Proceedings of International Conference on Neural Networks (ICNN'97), Houston, TX, USA, June 9-12, 1997. IEEE, 1997. [doi]

Conference: icnn1997

Abstract is missing.

- Exploration of very large databases by self-organizing maps [doi]
- Adaptive critic design in learning to play game of Go1-4 [doi]
- Reduced-order functional link neural network for HVAC thermal system identification and modeling5-9 [doi]
- Cascade-CMAC neural network applications on the color scanner to printer calibration10-15 [doi]
- Using neural networks to automatically refine expert system knowledge bases: experiments in the NYNEX MAX domain16-20 [doi]
- Option pricing with genetic algorithms: a second report21-25 [doi]
- Ultrashort laser pulse characterization by neural network26-30 [doi]
- Surface identification by acoustic reflection characteristics using time delay spectrometry and artificial neural networks31-36 [doi]
- BP networks for partial discharge analysis and dielectric classification37-42 [doi]
- A fuzzy-neural approach to real time plasma boundary reconstruction in tokamak reactors43-47 [doi]
- A Hopfield neural network for flow field computation based on particle image velocimetry/particle tracking velocimetry image sequences48-52 [doi]
- An artificial neural network for Naval Theater Ballistic Missile Defense program53-55 [doi]
- Using a neural network to diagnose anterior wall myocardial infarction56-68 [doi]
- Application of fuzzy neural network to ECG diagnosis62-66 [doi]
- Noninvasive diagnosis of delayed gastric emptying from cutaneous electrogastrograms using neural networks67-70 [doi]
- Predictive medicine: initial symptoms may determine outcome in clinically treated depressions71-75 [doi]
- Locating anatomical landmarks for prosthetics design using ensemble neural networks81-85 [doi]
- Motif neural network design for large-scale protein family identification86-89 [doi]
- Identifying disordered regions in proteins from amino acid sequence90-95 [doi]
- Categorizing Web documents using competitive learning: an ingredient of a personal adaptive agent96-99 [doi]
- A comparison of backpropagation and statistical classifiers for bird identification100-104 [doi]
- The backpropagation algorithm applied to protective relaying105-110 [doi]
- Online prediction of polymer product quality in an industrial reactor using recurrent neural networks111-114 [doi]
- Neural network for wind power generation with compressing function115-120 [doi]
- Applying the connectionist inductive learning and logic programming system to power system diagnosis121-126 [doi]
- Neural networks for modeling and identification of the dough rising process inside an industrial proofing chamber127-132 [doi]
- A neural network driven solution to a channel assignment problem in wireless telephony133-137 [doi]
- Signal estimation with neural networks for multipath mobile communications138-141 [doi]
- A decision feedback recurrent neural equalizer for digital communication142-147 [doi]
- A complex pi-sigma network and its application to equalizaton of nonlinear satellite channels148-152 [doi]
- Neural network-based real-time dynamic nonhierarchical network routing for B-ISDN153-156 [doi]
- Prediction of products quality parameters of a crude fractionation section of an oil refinery using neural networks157-162 [doi]
- An artificial neural network based real-time fault locator for transmission lines163-168 [doi]
- Defect prediction for reactive ion etching using neural networks169-173 [doi]
- Computer-access authentication with neural network based keystroke identity verification174-178 [doi]
- An online distribution feeder optimal reconfiguration algorithm for resistive loss reduction using a multi-layer perceptron179-182 [doi]
- Neural networks on fatigue damage prediction183-187 [doi]
- On the properties of periodic perceptrons188-193 [doi]
- Identification of a class of nonlinear systems using dynamic neural network structures194-198 [doi]
- Function approximation in the framework of evidence theory: a connectionist approach199-203 [doi]
- Orthogonal functional basis neural network for functional approximation204-209 [doi]
- CBP networks as a generalized neural model210-214 [doi]
- A modified mixtures of experts architecture for classification with diverse features215-220 [doi]
- Regularization and error bars for the mixture of experts network221-225 [doi]
- CMNN: cooperative modular neural network226-231 [doi]
- Assembling engineering knowledge in a modular multi-layer perceptron neural network232-237 [doi]
- A hierarchical decision module based on multiple neural networks238-241 [doi]
- Algorithms for optimal linear combinations of neural networks242-247 [doi]
- Improving ANN generalization using a priori knowledge to pre-structure ANNs248-253 [doi]
- Analyzing the structure of a neural network using principal component analysis254-259 [doi]
- Approximation capabilities of adaptive spline neural networks260-265 [doi]
- Incorporating functional knowledge into neural networks266-269 [doi]
- Stability and discriminative properties of the AMI model270-274 [doi]
- Formalizing neural networks using graph transformations275-280 [doi]
- Fuzzy combination of Kohonen's and ART neural network models to detect statistical regularities in a random sequence of multi-valued input patterns281-286 [doi]
- Entropy-driven structural adaptation in sample-space self-organizing feature maps for pattern classification287-291 [doi]
- A comparative study of fully and partially recurrent networks292-297 [doi]
- Network complexity and generalization298-301 [doi]
- Fault immunization technique for artificial neural networks302-307 [doi]
- PASS: a program for automatic structure search308-311 [doi]
- Hippocampal lesions may impair, spare, or facilitate latent inhibition: a neural network explanation312-317 [doi]
- Stable and unstable chaos states of receptor cell syncytium and stochastic resonance without noise318-323 [doi]
- Canonical models for mathematical neuroscience324-327 [doi]
- Thalamo-cortical interactions modeled by forced weakly connected oscillatory networks328-331 [doi]
- A neural mechanism for hyperacuity in jamming avoidance response of electric fish eigenmannia332-337 [doi]
- Self-organizing map develops V1 organization given biologically realistic input338-343 [doi]
- Feature extraction from mixed odor stimuli based on spatio-temporal representation of odors in olfactory bulb344-349 [doi]
- Computing with dynamic synapses: a case study of speech recognition350-355 [doi]
- The selective integration neural network model of lightness perception356-361 [doi]
- A neural network model of motion detection for moving plaid stimuli362-366 [doi]
- A simple, biologically motivated neural network solves the transitive inference problem368-371 [doi]
- A neural network model of hippocampally mediated trace conditioning372-376 [doi]
- A thalamic electric oscillator for interhemispheric communication377-380 [doi]
- A model of the basal ganglia for the procedure of drive381-386 [doi]
- Anti-Hebbian synapses as a linear equation solver387-389 [doi]
- A point-process coincidence network for representing interaural delay390-395 [doi]
- A model of the neuro-ommatidium of the fly's eye396-401 [doi]
- Fuzzy rule networks and its applications to decision-making under uncertainty402-407 [doi]
- Evaluation and ordering of rules extracted from feedforward networks408-413 [doi]
- A fuzzy neural network based on hierarchical space partitioning414-419 [doi]
- A neural fuzzy approach for fuzzy system design420-425 [doi]
- Comparative analysis of fuzzy inference systems implemented on neural structures426-431 [doi]
- A co-evolutionary algorithm for neural network learning432-437 [doi]
- Feedforward neural networks configuration using evolutionary programming438-443 [doi]
- Neuro-fuzzy modeling of complex systems using genetic algorithms444-449 [doi]
- A parallel hybrid genetic algorithm simulated annealing approach to finding most probable explanations on Bayesian belief networks450-455 [doi]
- An evolutionary programming-based probabilistic neural networks construction technique456-461 [doi]
- An optimizing FAMLB rules algorithm for traffic control in ATM communication networks462-466 [doi]
- Neural fuzzy agents that learn profiles and search databases467-472 [doi]
- Neuro-fuzzy approaches to collaborative scientific computing473-478 [doi]
- A new fuzzy classifier with triangular membership functions479-484 [doi]
- Stability analysis of neural networks485-490 [doi]
- Task allocation for multiple-network architectures491-494 [doi]
- Retaining diversity of search point distribution through a breeder genetic algorithm for neural network learning495-498 [doi]
- Knowledge-based fuzzy MLP with rough sets499-504 [doi]
- An intelligent sales forecasting system through fuzzy neural network505-509 [doi]
- Extraction method of rules from reflective neural network architecture510-515 [doi]
- Competitive and hybrid neuro-fuzzy models for supervised classification516-521 [doi]
- Fuzzy logic, neural networks, and brain-like learning522-527 [doi]
- A neuro-fuzzy model reduction strategy528-532 [doi]
- A training technique for fuzzy number neural networks533-536 [doi]
- Adaptive joint fuzzy sets for function approximation537-542 [doi]
- Fuzzy neurons and fuzzy multilinear mappings543-547 [doi]
- Neural network model of spatial memory548-553 [doi]
- A role for the hippocampal system in the learning of distal cortical associations554-557 [doi]
- A neural network for decision making under the influence of reinforcement558-563 [doi]
- A neocortically-derived model of continuous contextual processing564-568 [doi]
- Modelling the perceptual separation of concurrent vowels with a network of neural oscillators569-574 [doi]
- Multiresolution elementary tonotopic features for speech perception575-579 [doi]
- A minimal neural network for target searching and danger avoidance by smell580-585 [doi]
- Hierarchical classification of odor quality based on dynamical property of neural network of olfactory cortex586-590 [doi]
- Neural field model of oculomotor preparation and disengagement591-596 [doi]
- World-centered representation for neural networks597 [doi]
- Phase transitions and bifurcations in visual perception602-606 [doi]
- Visual position and orientation orders607-611 [doi]
- Natural properties in an artificial neural network612-616 [doi]
- Intelligent flight controllers for helicopter control617-621 [doi]
- Radial basis function network based power system stabilizers for multimachine power systems622-626 [doi]
- Synthesis of a discrete-time feedback neural controller627-632 [doi]
- Pulp digester level prediction using multiresolution networks of locally active units633-638 [doi]
- Neural network adaptive control of the penicillin acylase fermentation639-644 [doi]
- Relaxation oscillator networks with time delays645-650 [doi]
- Meanfield chaos dynamics with changing chaos threshold value651-656 [doi]
- Experimental analysis of behavior stability in neuron gain domain in recurrent complex-valued neural networks657-662 [doi]
- Numerical studies of resonance in a sinusoidally driven chaotic neuron model and its network663-668 [doi]
- Detecting oscillations in neural networks via frequency domain analysis669-674 [doi]
- Equivalent dynamics in different neural oscillator models675-679 [doi]
- Adaptive filtering and prediction based on Hopfield neural networks680-684 [doi]
- The analytical solution of gamma filter model685-689 [doi]
- Nonlinear model predictive controller using neural network690-693 [doi]
- Neural network identification and control in the presence of noise694-699 [doi]
- Internal feedback neuron networks for modeling of an industrial furnace700-705 [doi]
- Backpropagated adaptive critic neurofuzzy controller for nonlinear dynamic system706-711 [doi]
- Training strategies for critic and action neural networks in dual heuristic programming method712-717 [doi]
- Neural network isolation of system inputs for transient modelling and control718-723 [doi]
- The application of wavelet neural networks to nonlinear predictive control724-727 [doi]
- A neural network algorithm using wavelets and autoregressive inputs for system identification728-732 [doi]
- Modeling of neural networks in feedback systems using describing functions733-738 [doi]
- A new method for the analysis of neural reference model control739-743 [doi]
- Inverse mapping of continuous functions using feedforward neural networks744-748 [doi]
- An escape method from local minimum by orbital correction method for controller learning749-754 [doi]
- Partitioning input space for reinforcement learning for control755-760 [doi]
- Improving tuning capability of the adjusting neural network761-766 [doi]
- The use of feedforward neural networks to cancel nonlinearities of dynamic systems767-772 [doi]
- Fixed-weight controller for multiple systems773-778 [doi]
- The state estimation of the CSTR system based on a recurrent neural network trained by HGAs779-782 [doi]
- The model reference adaptive control based on the genetic algorithm783-787 [doi]
- Nonlinear control system with radial basis function controller using random search method of variable search length788-793 [doi]
- A feedforward MNN controller for pneumatic cylinder trajectory tracking control794-799 [doi]
- Yield improvement for GaAs IC manufacturing using neural network inverse modeling800-805 [doi]
- Frequency-domain vibration control using adaptive neural network806-810 [doi]
- Non-linear PID controller using neural networks811-814 [doi]
- Universal neural network controllers815-820 [doi]
- Non-monotone network dynamics; preliminary results821-824 [doi]
- Perturbation analysis of a class of neural networks825-828 [doi]
- An application of MNN trained by MEKA for the position control of pneumatic cylinder829-833 [doi]
- Comparison of CMACs and radial basis functions for local function approximators in reinforcement learning834-837 [doi]
- A local connected neural oscillator network for sequential character segmentation838-843 [doi]
- Modeling liquid phase oxygenation process using neural network844-847 [doi]
- Global and local optimization in adaptive neurocontrol848-853 [doi]
- Non-linear system control using learning Petri network854-859 [doi]
- Neural spectral composition for function approximation860-864 [doi]
- Analytical and computational results on recurrent dynamic neural network for signal representation865-870 [doi]
- A design method of optimal control system by use of neural network871-875 [doi]
- An analog VLSI front-end for auditory signal analysis876-881 [doi]
- Accurate analog VLSI model of calcium-dependent bursting neurons882-887 [doi]
- Efficient VLSI implementation of a 3-layer threshold network888-893 [doi]
- Implementing resistive fuse with floating gate MOS transistors894-898 [doi]
- Parallel architectures for vector quantization899-903 [doi]
- Mappings of SOM and LVQ on the partial tree shape neurocomputer904-909 [doi]
- ANNSyS (an analog neural network synthesis system)910-915 [doi]
- Analog hardware implementation of adaptive filter structures916-921 [doi]
- VHDL-based design of biologically inspired pitch detection system922-927 [doi]
- Effects of analog multiplier offsets on on-chip learning928-932 [doi]
- On the cost effectiveness of logarithmic arithmetic for backpropagation training on SIMD processors933-936 [doi]
- Parallel implementation of backpropagation neural network on a heterogeneous ring processor topology937-942 [doi]
- Penalty terms for fault tolerance943-947 [doi]
- Ising model calculation using PDM neural network hardware: Boltzmann statistical mechanics embedded in the hardware948-952 [doi]
- Spectral noise-shaping in integrate-and-fire neural networks953-958 [doi]
- Digital implementation of discrete-time cellular neural networks with distributed arithmetic959-963 [doi]
- VLSI architecture for analog bidirectional pulse-coupled neural networks964-968 [doi]
- Memory based processor array for artificial neural networks969-974 [doi]
- Sensitivity analysis of an analog circuit model of lamprey unit pattern generator975-979 [doi]
- Pulse density neural network system using simultaneous perturbation learning rule980-984 [doi]
- A pipelined speculative SIMD architecture for SOM ANN985-990 [doi]
- Hardware implementation of the neural gas991-994 [doi]
- Do we really need multiplier-based synapses for neuro-fuzzy classifiers?995-999 [doi]
- A digital neuron realization for the random neural network model1000-1004 [doi]
- Improving the resolution of Lazzaro winner-take-all circuit1005-1008 [doi]
- On the implementation of backpropagation on the Alex AVX-2 parallel system1009-1013 [doi]
- Uniform approximation and gamma networks1014-1018 [doi]
- Asymptotical analysis of a modular neural network1019-1022 [doi]
- Recognition algorithm using evolutionary learning on the random neural networks1023-1028 [doi]
- Dynamics of distance between patterns for higher order random neural networks1029-1034 [doi]
- Principal components via cascades of block-layers1035-1040 [doi]
- Bayesian geometric theory of learning algorithms1041-1044 [doi]
- A note on the effective number of parameters in nonlinear learning systems1045-1050 [doi]
- New bounds for correct generalization1051-1055 [doi]
- D-entropy minimization: integration of mutual information maximization and minimization1056-1061 [doi]
- Projection pursuit and the solvability condition applied to constructive learning1062-1067 [doi]
- The generalization capabilities of ARTMAP1068-1071 [doi]
- Automatic learning rate optimization by higher-order derivatives1072-1077 [doi]
- Improved backpropagation training algorithm using conic section functions1078-1081 [doi]
- Comparing parameterless learning rate adaptation methods1082-1087 [doi]
- Stopped training via algebraic online estimation of the expected test-set error1088-1092 [doi]
- Weight evolution algorithm with dynamic offset range1093-1096 [doi]
- Incorporating state space constraints into a neural network1097-1100 [doi]
- A structural learning algorithm for multi-layered neural networks1105-1110 [doi]
- An improved expand-and-truncate learning1111-1116 [doi]
- A vector quantisation reduction method for the probabilistic neural network1117-1120 [doi]
- Robust adaptive identification of dynamic systems by neural networks1121-1126 [doi]
- Fiber bundles and receptive neural fields1127-1130 [doi]
- Fast binary cellular neural networks1131-1134 [doi]
- Associative memory of weakly connected oscillators1135-1138 [doi]
- Input-to-state stability (ISS) analysis for dynamic neural networks1139-1143 [doi]
- An upper bound on the node complexity of depth-2 multilayer perceptrons1144-1147 [doi]
- On viewing the transform performed by a hidden layer in a feedforward ANN, as a complex Mobius mapping1148-1151 [doi]
- Beyond weights adaptation: a new neuron model with trainable activation function and its supervised learning1152-1157 [doi]
- Improved sufficient convergence condition for the discrete-time cellular neural networks1158-1161 [doi]
- Simultaneous information maximization and minimization1162-1167 [doi]
- Hybrid learning algorithm with low input-to-output mapping sensitivity for iterated time-series prediction1168-1171 [doi]
- Associative memory design via perceptron learning1172-1177 [doi]
- Two simple strategies to improve bidirectional associative memory's performance: unlearning and delta rule1178-1182 [doi]
- Effect of pruning small weights in correlation associative memories1183-1187 [doi]
- Decoupled-voting Hamming associative memory networks1188-1193 [doi]
- Temporal multidirectional associative memory: adaptable, continuous, and self-connected MAM1194-1198 [doi]
- Overlapping decompositions in the design of associative memories1199-1204 [doi]
- GBAM: a general bidirectional associative memory model1205-1209 [doi]
- Chaotic multidirectional associative memory1210-1215 [doi]
- Using hysteresis to improve performance in synchronous networks1216-1220 [doi]
- Random attractors for initial memory codes1221-1226 [doi]
- A generalized updating rule for modified Hopfield neural network1227-1230 [doi]
- Bipolar pattern association using a recurrent winner take all network1231-1234 [doi]
- Recognition of multidimensional affine patterns using a constrained GA1235-1239 [doi]
- Suspiciousness of loading problems1240-1245 [doi]
- Application of neuro-based optimization algorithm to three dimensional cylindric puzzles1246-1250 [doi]
- Primal-target neural net heuristics for the hypergraph k-coloring problem1251-1255 [doi]
- Determination of parameters in relaxation-search neural networks for optimization problems1256-1259 [doi]
- An evolutionary neural network algorithm for max cut problems1260-1265 [doi]
- A binary neural network approach for one-shot scheduling problems in multicast packet switching systems1266-1271 [doi]
- Arbitrary distance function estimation using discrete vector quantization1272-1277 [doi]
- Multiple-resolution divide and conquer neural networks for large-scale TSP-like energy minimization problems1278-1283 [doi]
- Parallel and synchronous search for combinatory quasi-optimum solutions1284-1288 [doi]
- A proposal of "neuron mask" in neural network algorithm for combinatorial optimization problems1289-1294 [doi]
- A dual neural network for shortest-path routing1295-1298 [doi]
- Associative ability of higher order neural networks1299-1304 [doi]
- A module neural network and its basic behaviors1305-1310 [doi]
- High order orthogonal tensor networks: information capacity and reliability1311-1314 [doi]
- Pulsed noise-based stochastic optimization with the Hopfield model1315-1320 [doi]
- ATM call admission control using sparse distributed memory1321-1325 [doi]
- Fault-tolerance in a Boltzmann machine1326-1331 [doi]
- Capacity expansion and concept formation in sequential associative memory1332-1337 [doi]
- Selecting the toroidal self-organizing feature maps (TSOFM) best organized to object recognition1341-1346 [doi]
- Accelerating backpropagation in human face recognition1347-1352 [doi]
- Gender classification of human faces using hybrid classifier systems1353-1358 [doi]
- Hybrid approaches to frontal view face recognition using the neural network1359-1362 [doi]
- Automatic facial feature extraction by applying genetic algorithms1363-1367 [doi]
- A principal component based BDNN for face recognition1368-1372 [doi]
- Two-stage neural network for volume segmentation of medical images1373-1378 [doi]
- An RBF based classifier for the detection of microcalcifications in mammograms with outlier rejection capability1379-1384 [doi]
- Tissue characterisation with NMR spectroscopy: current state and future prospects for the application of neural networks analysis1385-1390 [doi]
- Recognition of handwritten digits using structural information1391-1396 [doi]
- A neuro-fuzzy approach to recognize Arabic handwritten characters1397-1400 [doi]
- An empirical evaluation of bagging and boosting for artificial neural networks1401-1405 [doi]
- Growing radial basis neural networks1406-1411 [doi]
- Determination of the number of components in Gaussian mixtures using agglomerative clustering1412-1417 [doi]
- Soft-competitive-growing classifier with unsupervised fine-tuning1418-1423 [doi]
- Parallel stochastic grammar induction1424-1428 [doi]
- Combining statistical pattern recognition approach with neural networks for recognition of large-set categories1429-1432 [doi]
- Possibilistic fuzzy classification using neural networks1433-1438 [doi]
- Unsupervised hierarchical fingerprint matching1439-1442 [doi]
- Structural adaptation in neural networks with application to land mine detection1443-1447 [doi]
- A visual multi-expert neural classifier1448-1453 [doi]
- Efficient indexing for object recognition using large networks1454-1458 [doi]
- ARTMAP-FD: familiarity discrimination applied to radar target recognition1459-1464 [doi]
- Multiscale image factorization1465-1468 [doi]
- Soft nearest neighbor classification1469-1473 [doi]
- A scalable method for classifier knowledge reuse1474-1478 [doi]
- Some further studies on detection the number of clusters1479-1483 [doi]
- Feature extraction from wavelet coefficients for pattern recognition tasks1484-1489 [doi]
- Fuzzy image enhancement and associative feature matching in radiotherapy1490-1495 [doi]
- JPEG post processing image enhancement1496-1500 [doi]
- Improved dynamic bit allocation in image coding using a self-organizing map with learning vector quantization1501-1505 [doi]
- A neural implementation of interpolation with a family of kernels1506-1511 [doi]
- Automatic extraction of drainage networks from digital terrain elevation data: a local network approach1512-1517 [doi]
- Low bit rate image compression with orthogonal projection pursuit neural networks1518-1522 [doi]
- A neural network incorporating adaptive Gabor filters for image texture classification1523-1528 [doi]
- Texture segmentation using Gaussian Markov random fields and LEGION1529-1534 [doi]
- Resolutionable cellular neural networks1535-1541 [doi]
- Adapting the 2-class recursive deterministic perceptron neural network to m-classes1542-1546 [doi]
- Fast inner-outer point evaluation in a polytopic generalization domain1547-1551 [doi]
- Non-stationary texture segmentation using an AM-FM model1552-1557 [doi]
- Evolutionary artificial neural networks for competitive learning1558-1562 [doi]
- Image retrieval system capable of learning the user's sensibility using neural networks1563-1567 [doi]
- Blind deconvolution by self-organization1568-1573 [doi]
- An experimental comparative study on several soft and hard-cut EM algorithms for mixture of experts1574-1579 [doi]
- A knowledge-based approach for fault detection and isolation in analog circuits1580-1584 [doi]
- A comparative study of layered neural networks on misclassification in pattern recognition1585-1589 [doi]
- Rough-fuzzy set theoretic approach to evaluate the importance of input features in classification1590-1595 [doi]
- A committee of networks classifier with multi-resolution feature extraction for automatic target recognition1596-1601 [doi]
- Competitive neural networks as adaptive algorithms for nonstationary clustering: experimental results on the color quantization of image sequences1602-1607 [doi]
- Evolutionary CT image reconstruction1608-1611 [doi]
- Genetic algorithms for clustering, feature selection and classification1612-1616 [doi]
- A neural network classifier for conflicting information environments1617-1622 [doi]
- Identifying contact formations from force signals: a comparison of fuzzy and neural network classifiers1623-1628 [doi]
- Neural trees for image segmentation1629-1633 [doi]
- Theoretical and experimental analyses of restoring degraded images based on continuous Hopfield neural networks1634-1637 [doi]
- Face recognition system based on neural networks and fuzzy logic1638-1643 [doi]
- Invariant pattern recognition of 2D images using neural networks and frequency-domain representation1644-1649 [doi]
- Modified 3-D Hopfield neural network for gesture recognition1650-1655 [doi]
- Range image segmentation using an oscillatory network1656-1660 [doi]
- An improved neural network for segmenting objects' boundaries in real images1663-1668 [doi]
- Modelling active contours using neural networks isomorphic to boundaries1669-1672 [doi]
- Evolutionary computation for figure-ground separation1673-1678 [doi]
- Pixel based 3D object recognition with bidirectional associative memories1679-1684 [doi]
- Trajectory control of robotic manipulators using chaotic neural networks1685-1688 [doi]
- A partially recurrent gating network approach to learning action selection by reinforcement1689-1692 [doi]
- Adaptive learning with the growing competitive linear local mapping network for robotic hand-eye coordination1693-1698 [doi]
- Using a hyper-ellipsoid clustering Kohonen for autonomous mobile robot map building, place recognition and motion planning1699-1704 [doi]
- Fuzzy neural adaptive controller design: with application to multiple-link robot control1705-1709 [doi]
- Recurrent neural network with self-adaptive GAs for biped locomotion robot1710-1715 [doi]
- Reinforcement learning when visual sensory signals are directly given as inputs1716-1720 [doi]
- A neural network framework for low-level representation and processing in computer vision1721-1726 [doi]
- New neural networks for adaptive control of robot manipulators1727-1731 [doi]
- Neurofuzzy agents and neurofuzzy laws for autonomous machine learning and control1732-1737 [doi]
- Fuzzy-Q learning for autonomous robot systems1738-1743 [doi]
- Neural force/position control in Cartesian space for a 6DOF industrial robot: concept and first results1744-1748 [doi]
- Image estimation and compensation based on correspondence technique1749-1754 [doi]
- Robust telemanipulator control using a partitioned neural network architecture1755-1760 [doi]
- Model-based path planning and tracking control using neural networks for a robot manipulator1761-1765 [doi]
- Reinforcement control via action dependent heuristic dynamic programming1766-1770 [doi]
- Neural control of artificial six-legged terrestrial locomotion on rough terrain1771-1776 [doi]
- A neural network for the trajectory control of robotic manipulators with uncertainties1777-1780 [doi]
- Artificial neural networks and the simulation of human movements in CAD environments1781-1784 [doi]
- Global stability analysis of a nonlinear principal component analysis neural network1785-1787 [doi]
- Generalised independent component analysis through unsupervised learning with emergent Bussgang properties1788-1791 [doi]
- An incremental unsupervised learning scheme for function approximation1792-1797 [doi]
- Convergence study of principal component analysis algorithms1798-1803 [doi]
- On the importance of sorting in "neural gas" training of vector quantizers1804-1808 [doi]
- A novel algorithm to configure RBF networks1809-1814 [doi]
- Gradient descent learning of radial basis neural networks1815-1820 [doi]
- Independent component analysis by the information-theoretic approach with mixture of densities1821-1826 [doi]
- Dynamics of structural learning with an adaptive forgetting rate1827-1832 [doi]
- MDL regularizer: a new regularizer based on the MDL principle1833-1838 [doi]
- Additional learning and forgetting by potential method for pattern classification1839-1844 [doi]
- Learning performance measures for MLP networks1845-1850 [doi]
- On the structure of the Hessian matrix in feedforward networks and second derivative methods1851-1855 [doi]
- Generalization of the cross-entropy error function to improve the error backpropagation algorithm1856-1861 [doi]
- Effects of structural adjustments on the estimate of a spectral radius of error matrices1862-1867 [doi]
- Radial basis function networks for autonomous agent control1868-1872 [doi]
- A new local linearized least squares algorithm for training feedforward neural networks1873-1878 [doi]
- Extensions and enhancements of decoupled extended Kalman filter training1879-1883 [doi]
- Signal-flow-graph derivation of on-line gradient learning algorithms1884-1889 [doi]
- A hybrid global learning algorithm based on global search and least squares techniques for backpropagation networks1890-1895 [doi]
- The effects of quantization on the backpropagation learning1896-1900 [doi]
- A construction method of feedforward neural network for selecting effective hidden nodes1901-1906 [doi]
- Robust training algorithm for a perceptron neuron1907-1912 [doi]
- A geometric learning algorithm for elementary perceptron and its convergence analysis1913-1918 [doi]
- Superior training of artificial neural networks using weight-space partitioning1919-1923 [doi]
- MUpstart-a constructive neural network learning algorithm for multi-category pattern classification1924-1929 [doi]
- Gauss-Newton approximation to Bayesian learning1930-1935 [doi]
- The weighted EM algorithm and block monitoring1936-1941 [doi]
- New advances on Bayesian Ying-Yang learning system with Kullback and non-Kullback separation functionals1942-1947 [doi]
- D-entropy controller for interpretation and generalization1948-1953 [doi]
- Avoiding weight-illgrowth: cascade correlation algorithm with local regularization1954-1959 [doi]
- Pruning strategies for the MTiling constructive learning algorithm1960-1965 [doi]
- Self-regulation of model order in feedforward neural networks1966-1971 [doi]
- A position paper on statistical inference techniques which integrate neural network and Bayesian network models1972-1977 [doi]
- Selection of convergence coefficient with automata learning rule1978-1982 [doi]
- Multiple categorization using fuzzy ART1983-1988 [doi]
- Development of a neural network algorithm for unsupervised competitive learning1989-1993 [doi]
- Blind separation of binary sources with less sensors than sources1994-1997 [doi]
- Backpropagation of accuracy1998-2001 [doi]
- Experiments with learning rules for a single neuron2002-2006 [doi]
- A novel fuzzy based algorithm for radial basis function neural network2007-2011 [doi]
- Properties of learning of a fuzzy ART variant2012-2016 [doi]
- Training of supervised neural networks via a nonlinear primal-dual interior-point method2017-2021 [doi]
- Difficulty in learning vs. network size2022-2027 [doi]
- A hierarchical Bayes approach to nonlinear time series prediction with neural nets2028-2033 [doi]
- Sequential network construction for time series prediction2034-2038 [doi]
- Markov gated experts for time series analysis: beyond regression2039-2044 [doi]
- Improving the accuracy of financial time series prediction using ensemble networks and high order statistics2045-2050 [doi]
- Neural networks based traffic prediction for cell discarding policy2051-2056 [doi]
- A neural network solver for basis pursuit and its applications to time-frequency analysis of biomedical signals2057-2060 [doi]
- Broadband noise cancellation using a functional link ANN based nonlinear filter2061-2066 [doi]
- Estimation of unmeasured inputs using recurrent neural networks and the extended Kalman filter2067-2071 [doi]
- Adaptive target detection in UWB images using Laguerre network2072-2075 [doi]
- Multiple target tracking using recurrent neural networks2076-2079 [doi]
- Performance of two neural receiver structures in the presence of co-channel interference2080-2084 [doi]
- Speaker verification and identification using gamma neural networks2085-2088 [doi]
- Context modeling in a hybrid HMM-neural net speech recognition system2089-2092 [doi]
- Parallel neural networks for speech recognition2093-2097 [doi]
- Text-independent speaker identification using a hybrid neural network and conformity approach2098-2102 [doi]
- Speaker identification based on a modified Kohonen network2103-2106 [doi]
- Continuous speech recognition with neural networks and stationary-transitional acoustic units2107-2111 [doi]
- An efficient stock market forecasting model using neural networks2112-2115 [doi]
- Prediction of system marginal price in the UK Power Pool using neural networks2116-2120 [doi]
- Application of artificial neural networks in sales forecasting2121-2124 [doi]
- Sales forecasting using neural networks2125-2128 [doi]
- Blind source separation of real world signals2129-2134 [doi]
- Dual cascade networks for blind signal extraction2135-2140 [doi]
- Information backpropagation for blind separation of sources in nonlinear mixture2141-2146 [doi]
- Blind source separation and tracking using nonlinear PCA criterion: a least-squares approach2147-2152 [doi]
- Single-sensor active noise cancellation using recurrent neural network predictors2153-2156 [doi]
- Elimination of multiple reflections in marine seismograms using neural networks2157-2161 [doi]
- Adaptive fuzzy filtering for audio applications using a neuro-fuzzy modelization2162-2166 [doi]
- A novel algorithm for wideband DOA estimates based on neural network2167-2170 [doi]
- Neural speech enhancement using dual extended Kalman filtering2171-2175 [doi]
- Combining fossil and sunspot data: committee predictions2176-2180 [doi]
- Overcoming recurrent neural networks' compactness limitation for neurofiltering2181-2186 [doi]
- RBF neural network, basis functions and genetic algorithm2187-2192 [doi]
- Improved option pricing using bootstrap methods2193-2197 [doi]
- A learning algorithm for improved recurrent neural networks2198-2202 [doi]
- Prediction of onset of respiratory disorder in neonates2203-2207 [doi]
- Neural prediction of missile dynamics during hardware-in-the-loop captive-carry experiments2208-2213 [doi]
- Neural network autoregressive modeling of vibrations for condition monitoring of rotating shafts2214-2218 [doi]
- A perceptron-like online algorithm for tracking the median2219-2224 [doi]
- Signal representation using adaptive Wave-Net2225-2230 [doi]
- Financial prediction using higher order trigonometric polynomial neural network group model2231-2234 [doi]
- Minor component analysis with implementation to blind 2-channel equalization2235-2238 [doi]
- Separation of two independent sources by the information-theoretic approach with cubic nonlinearity2239-2244 [doi]
- Robust adaptive neurofilters with or without online weight adjustment2245-2250 [doi]
- Prediction of chaos and bifurcation: an asymmetric basis function approach2251-2256 [doi]
- Neural networks for periodicity analysis of unevenly spaced data2257-2262 [doi]
- Primitive adaptive critics2263-2267 [doi]
- Unified formulation for training recurrent networks with derivative adaptive critics2268-2272 [doi]
- Asymptotic dynamic programming: preliminary concepts and results2273-2278 [doi]
- The need for improved reinforcement learning techniques in intelligent agents2279-2282 [doi]
- Immunized adaptive critics2283-2287 [doi]
- Adaptive critic based neurocontroller for autolanding of aircraft with varying glideslopes2288-2293 [doi]
- Top-down and bottom-up image processing2294-2299 [doi]
- Introducing visual latencies into spin-lattice models for image segmentation: a neuromorphic approach to a computer vision problem2300-2303 [doi]
- Artificial retina chips2304-2308 [doi]
- Physiological engineering model of the outer retina2309-2314 [doi]
- Dialog concepts for learning retina encoders2315-2320 [doi]
- The physiological connection: stimulating the human and amphibian retina2321-2326 [doi]
- The cellular neural network as a retinal camera for visual prosthesis2327-2332 [doi]
- Color and intensity information representations by a network of turtle retinal ganglion cells2333-2336 [doi]
- A fuzzy neural hybrid system modeling2337-2341 [doi]
- Fuzzy inference networks: an introduction2342-2346 [doi]
- Neural nets can be universal approximators for fuzzy functions2347-2350 [doi]
- Speaker recognition with a self-configuring neural network2351-2354 [doi]
- Neural net approximations to solutions of systems of fuzzy linear equations2355-2358 [doi]
- On tool wear estimation through neural networks2359-2363 [doi]
- A study in experimental evaluation of neural network and genetic algorithm techniques for knowledge acquisition in fuzzy classification systems2364-2368 [doi]
- Acquisition of fuzzy rules using fuzzy neural networks with forgetting2369-2373 [doi]
- Knowledge extraction from hierarchical fuzzy model obtained by fuzzy neural networks and genetic algorithm2374-2379 [doi]
- Fuzzy rules extraction, reasoning and rules adaptation in fuzzy neural networks2380-2383 [doi]
- Extraction of crisp logical rules using constructive constrained backpropagation networks2384-2389 [doi]
- Linguistic rule extraction from neural networks and genetic-algorithm-based rule selection2390-2395 [doi]
- Robust NL/sub q/ neural control theory2396-2401 [doi]
- Feedback-error-learning control with considering smoothness of unknown nonlinearities2402-2407 [doi]
- Fuzzy logic controllers generated by pseudo-bacterial genetic algorithm with adaptive operator2408-2413 [doi]
- A sliding mode controller with neural network and fuzzy logic2414-2417 [doi]
- Neuro-approach for intelligent systems development2418-2423 [doi]
- Adaptive control and stability analysis of nonlinear systems using neural networks2424-2429 [doi]
- Temperature control in a batch process by neural networks2430-2433 [doi]
- An ANS based helicopter transmission diagnostic system2434-2438 [doi]
- A neural architecture for fuzzy classification with application to complex system tracking2439-2444 [doi]
- Learning the correlation of beam position monitors for Pohang synchrotron light source using neural networks2445-2448 [doi]
- Intelligent hybrid multi-agent architecture for engineering complex systems2449-2454 [doi]
- Neural network based segmentation using a priori image models2455-2459 [doi]
- Feature selection and classifiers for the computerized detection of mass lesions in digital mammography2460-2463 [doi]
- An artificial neural network to predict mortality in patients who undergo percutaneous coronary interventions2464-2467 [doi]
- Neural network design for optimization of the partial area under the receiver operating characteristic curve2468-2471 [doi]
- Self-organizing maps for analyzing mammographic findings2472-2474 [doi]
- Neurometric assessment of adequacy of intraoperative anesthetic2475-2479 [doi]
- A three dimensional neural architecture2480-2484 [doi]
- "Visual ophthalmologist" an automated system for classification of retinal damage2485-2489 [doi]
- Genetic function approximation in the molecular pharmacology of cancer2490-2493 [doi]
- Evaluating artificial neural networks for medical applications2494-2495 [doi]
- Neural network assisted drug detection in X-ray images2497-2502 [doi]
- Detection and discrimination using x-radiation2503-2506 [doi]
- Pulse coupled neural networks (PCNN) and wavelets: biosensor applications2507-2512 [doi]
- Blind de-mixing with unknown sources2513-2518 [doi]
- On the conscious and subconscious components of knowledge representation in neural networks2519-2523 [doi]
- Some issues in system identification using clustering2524-2529 [doi]
- The truth is in there: current issues in extracting rules from trained feedforward artificial neural networks2530-2534 [doi]
- Asynchronous translations with recurrent neural nets2535-2540 [doi]
- Possibilistic reasoning in a computational neural network2541-2545 [doi]
- Genetic algorithms for structural optimisation, dynamic adaptation and automated design of fuzzy neural networks2546-2549 [doi]
- An overview on supervised neural networks for structures2550-2554 [doi]
- BEXA: set covering vs. neural network knowledge acquisition-a comparative review2555-2559 [doi]
- A fault tolerant Chinese bank check recognition system based on SOM neural networks2560-2565 [doi]
- Synaptic delay based artificial neural networks and discrete time backpropagation applied to QRS complex detection2566-2570 [doi]