Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28 - April 1, 1993. IEEE, 1993. [doi]

Conference: icnn1993

Abstract is missing.

- Learning algorithms for adaptive processing and control1-8 [doi]
- Multiple networks for function learning9-14 [doi]
- A universal structure for artificial neural networks15-20 [doi]
- Back-propagation algorithm with controlled oscillation of weights21-26 [doi]
- Parallel consensual neural networks27-32 [doi]
- Self-clustering recurrent networks33-38 [doi]
- Hopf bifurcation and Hopf hopping in recurrent nets39-45 [doi]
- On design and evaluation of tapped-delay neural network architectures46-51 [doi]
- A hybrid technique to enhance the performance of recurrent neural networks for time series prediction52-57 [doi]
- Synaptic coding of periodically modulated spike trains58-63 [doi]
- Temporal competition as an optimal parallel processing of the cerebrohypothalamic system64-69 [doi]
- A spatio-temporal neural network model of saccade generation70-74 [doi]
- Dynamics of synaptic transfer in living and simulated neurons75-80 [doi]
- Solving search problems with subgoals using an artificial neural network81-86 [doi]
- Solving the serializability problem by a connectionist machine87-92 [doi]
- Classification of Parkinson rating-scale-data using a selforganising neural net93-98 [doi]
- Solving inverse problems in nonlinear PDEs by recurrent neural networks99-102 [doi]
- Force directed self-organizing map and its application to VLSI cell placement103-109 [doi]
- The effects of analog hardware properties on backpropagation networks with on-chip learning110-115 [doi]
- An analog VLSI model of central pattern generation in the medicinal leech116-119 [doi]
- Analog neural networks solve ambiguity problems in medium PRF radar systems120-125 [doi]
- Stereo correspondence through multiple constraint neural networks126-131 [doi]
- A neural network based edge detector132-137 [doi]
- A cortical structure for real world image processing138-143 [doi]
- A distributed adaptive control system for a quadruped mobile robot144-149 [doi]
- Sensorimotor coordination and sensor fusion by neural networks150-155 [doi]
- Motion controls using complex-valued neural networks with feedback loops156-161 [doi]
- On self-consistent sensory-motor learning algorithm162-167 [doi]
- Efficient learning and planning within the Dyna framework168-174 [doi]
- Exploration and model building in mobile robot domains175-180 [doi]
- Hierarchical learning of robot skills by reinforcement181-186 [doi]
- Monaural localization using combination of TD ( lambda ) with backpropagation187-190 [doi]
- Performance improvement of machine learning via automatic discovery of facilitating functions as applied to a problem of symbolic system identification191-198 [doi]
- Design architectures and training of neural networks with a distributed genetic algorithm199-202 [doi]
- Use of genetic algorithms with backpropagation in training of feedforward neural networks203-208 [doi]
- Coordinative behavior in evolutionary multi-agent system by genetic algorithm209-214 [doi]
- Sensitivity analysis for input vector in multilayer feedforward neural networks215-218 [doi]
- Minimum entropy methods in neural networks: competition and selective responses by entropy minimization219-225 [doi]
- A dynamic neural network architecture by sequential partitioning of the input space226-231 [doi]
- Geometric error correction using hierarchical/hybrid artificial neural systems232-237 [doi]
- A rule based prototype system for automatic classification in industrial quality control238-243 [doi]
- Learning strategies for an adaptive information retrieval system using neural networks244-249 [doi]
- Pruning and rule extraction using class entropy250-256 [doi]
- Annealing networks and fractal landscapes257-262 [doi]
- A quick algorithm of neural combinatorial optimization to data association problem of multimaneuvering target tracking263-268 [doi]
- Improved kick out learning algorithm with delta-bar-delta-bar rule269-274 [doi]
- Solving the scheduling problem in high level synthesis using a normalized mean field neural network275-280 [doi]
- Meaning-based handling of don't care attributes in artificial neural networks281-286 [doi]
- Hierarchical ensemble of neural networks287-292 [doi]
- Optimal Brain Surgeon and general network pruning293-299 [doi]
- Discriminant analysis neural networks300-305 [doi]
- Neuro-fuzzy optimal control of backing up a trailer truck306-311 [doi]
- FUN: optimization of fuzzy rule based systems using neural networks312-316 [doi]
- Implementation of fuzzy systems using multilayered neural network317-322 [doi]
- Supervised fuzzy ART: training of a neural network for pattern classification via combining supervised and unsupervised learning323-328 [doi]
- A ClusNet architecture for prediction329-334 [doi]
- A chaotic neural unit335-340 [doi]
- A Bayesian interpretation for the Hopfield network341-346 [doi]
- Hybrid location-content addressable memory347-352 [doi]
- Retrieval process of an associative memory with nonmonotonic input-output function353-358 [doi]
- A temporal memory network with state-dependent thresholds359-364 [doi]
- Calculus relations in spatial summation and determination of macro connection in neuronal networks365-370 [doi]
- Some notes on perceptron learning371-376 [doi]
- Extension of approximation capability of three layered neural networks to derivatives377-381 [doi]
- Noninvertibility in neural networks382-386 [doi]
- A neural network isolated word recognition system for moderate sized databases387-391 [doi]
- Identification of human faces through texture-based feature recognition and neural network technology392-398 [doi]
- Inverse recall neural network model and feedback pattern recognition399-406 [doi]
- A neural network that embeds its own meta-levels407-412 [doi]
- A neural network model for real-time adaptive clustering413-416 [doi]
- The self-organizing reduced kernel density estimator417-421 [doi]
- Bayesian case-based reasoning with neural networks422-427 [doi]
- Construction of neural networks for piecewise approximation of continuous functions428-433 [doi]
- Identification of unknown categories with probabilistic neural networks434-437 [doi]
- Unknown parameter identification of parameterized system using multi-layered neural network438-443 [doi]
- Scalability in neural network design: an add-on scheme444-449 [doi]
- Incremental grid growing: encoding high-dimensional structure into a two-dimensional feature map450-455 [doi]
- A connectionist approach for default inference and conflict resolution456-461 [doi]
- Recursive neural networks with high capacity462-465 [doi]
- A quickly trained ANN with single hidden layer Gaussian units466-472 [doi]
- Non-monotonic firing rate of a coupled FitzHugh-Nagumo model473-478 [doi]
- Design of adaptive and incremental feed-forward neural networks479-484 [doi]
- A theory of over-learning in the presence of noise485-488 [doi]
- Sigma-delta modulation neural networks489-493 [doi]
- Training of neural network classifier by combining hyperplane with exemplar approach494-499 [doi]
- Using spectral techniques for improved performance in artificial neural networks500-505 [doi]
- Performance measures for neural nets using Johnson distributions506-510 [doi]
- Experimental analysis of input weight freezing in constructive neural networks511-516 [doi]
- Use of fractional powers to moderate neuronal contributions517-522 [doi]
- Gaussian network variants: a preliminary study523-528 [doi]
- MRAC of nonlinear systems using neural networks with recursive least squares adaptation529-533 [doi]
- A rule-based neural controller for inverted pendulum system534-539 [doi]
- Neural network-based robot trajectory generation540-545 [doi]
- Time optimal control using pi-sigma networks546-551 [doi]
- Neuromorphic self-tuning PID controller552-557 [doi]
- Dynamic neural controller with somatic adaptation558-563 [doi]
- Identification of a nonlinear multivariable dynamic process using feed-forward networks564-567 [doi]
- Identification of a PUMA-560 two-link robot using a stable neural network568-572 [doi]
- An improved learning law for backpropagation networks573-579 [doi]
- Acceleration of back propagation through initial weight pre-training with delta rule580-585 [doi]
- A direct adaptive method for faster backpropagation learning: the RPROP algorithm586-591 [doi]
- Backpropagation using generalized least squares592-597 [doi]
- Initializations, back-propagation and generalization of feed-forward classifiers598-604 [doi]
- Supervised learning for feed-forward neural networks: a new minimax approach for fast convergence605-609 [doi]
- Fuzzy logic controllers: from development to deployment610-619 [doi]
- Simple addition to back-propagation learning for dynamic weight pruning, sparse network extraction and faster learning620-625 [doi]
- Adaptive k-means algorithm with error-weighted deviation measure626-631 [doi]
- A multi-template learning method based on LVQ632-637 [doi]
- Object separation in dynamic neural networks638-641 [doi]
- Neuroanatomy of neural networks of the vestibular system: vestibular maculas as prototypic neuronal networks642-647 [doi]
- Artificial cerebellum ACE: tensor network transformer enabling virtual movement in virtual environment: facilitating teleoperation in telepresence648-654 [doi]
- A sensory information processing system using neural networks655-660 [doi]
- Preserving visual perception by learning natural clustering661-666 [doi]
- Bimodal sensor integration on the example of 'speechreading'667-671 [doi]
- Sensory fusion: integrating visual and auditory information for recognizing speech672-677 [doi]
- A neural network approach to the consistent labeling problem678-683 [doi]
- Visualizing weight dynamics in the N-2-N encoder684-689 [doi]
- On-line sensing of drill wear using neural network approach690-694 [doi]
- Performance of a neural net scheduler used in packet switching interconnection networks695-700 [doi]
- Analog CMOS implementation of backward error propagation701-706 [doi]
- Modular neural network hardware implementation of analog-digital mixed operation707-710 [doi]
- Stochastic arithmetic implementations of neural networks with in situ learning711-716 [doi]
- A novel counter circuit using a multi-level neuron with a self-feedback weight717-720 [doi]
- A two-stage neural net for segmentation of range images721-726 [doi]
- Image compression using topological maps and MLP727-731 [doi]
- A neural network for perceptual grouping, based on architecture of the primary visual cortex, efficient for texture segregation in complex natural images732-736 [doi]
- Three applications of artificial neural networks for control737-742 [doi]
- Dynamic neural unit and function approximation743-748 [doi]
- A neural controller for the tracking control of flexible arms749-754 [doi]
- A neural network architectural model of visual cortical cells for texture segregation755-760 [doi]
- An algorithm of eye movement in selective fixation761-765 [doi]
- A high level Petri net model of olfactory bulb766-771 [doi]
- Low level modeling of the development of directionally selective microcircuits in cat striate cortex772-777 [doi]
- A fast supervised-learning algorithm for large, multilayered neural networks778-782 [doi]
- Robustness of feedforward neural networks783-788 [doi]
- A fast supervised learning scheme for recurrent neural networks with application to associative memory design789-793 [doi]
- Task decomposition and competing expert system-artificial neural net objects for reliable and real time inference794-800 [doi]
- Rule refinement with recurrent neural networks801-806 [doi]
- A neural production system and its application in visual-guided mobile robot navigation807-812 [doi]
- A neural network solution for the correspondence problem813-819 [doi]
- A neural network with Hebbian-like adaptation rules learning visuomotor coordination of a PUMA robot820-822 [doi]
- NNP: a neural net classifier using prototypes822 [doi]
- Synthesis of mechanical linkages using artificial neural networks and optimization822 [doi]
- An integrated approach to cellular mobile communication planning using traffic data prestructured by a self-organizing feature map822 [doi]
- A fault tolerant optimal interpolative net825-830 [doi]
- Derivation of momentum LMS algorithms by minimizing objective functions831-835 [doi]
- Global descent replaces gradient descent to avoid local minima problem in learning with artificial neural networks836-842 [doi]
- Recurrent neural networks for temporal learning of time series843-850 [doi]
- Gradient computation in time delayed recurrent neural network with memory for static input-output mapping under stability constraint851-856 [doi]
- A cascaded recurrent neural network for real-time nonlinear adaptive filtering857-862 [doi]
- Evolving neural network connectivity863-868 [doi]
- A method for the design of evolutionary multilayer neural networks869-874 [doi]
- Using evolutionary programing to create neural networks that are capable of playing tic-tac-toe875-880 [doi]
- Evolving a sort: lessons in genetic programming881-888 [doi]
- Associative storage and retrieval of highly correlated natural pattern sets in diluted Hopfield networks889-894 [doi]
- The hybrid Hopfield-clique memory with perfect storage895-900 [doi]
- Multi-layer associative neural networks (MANN): storage capacity vs. noise-free recall901-907 [doi]
- Large scale simulations of a spin glass image associative memory908-913 [doi]
- Partitions of unity improve neural function approximators914-918 [doi]
- On the speed of training networks with correlated features919-922 [doi]
- A neural network model based on differential-algebraic equations for nonlinear programming923-928 [doi]
- On the convergence of feedforward neural networks incoporating terminal attractors929-935 [doi]
- An efficient algorithm for the binary classification of patterns using MLP-networks936-943 [doi]
- On-line handwritten symbol recognition, using an ART based neural network hierarchy944-949 [doi]
- Power curves for pattern classification networks950-955 [doi]
- Towards an event-space self-configurable neural network956-961 [doi]
- A serial complexity measure of neural networks962-966 [doi]
- Use of Kohonen's self-organizing network as a pre-quantizer967-971 [doi]
- An asynchronous neural network model for shortest path problem972-976 [doi]
- Single minimum method for combinatorial optimization problems and an efficient algorithm of TSP problem977-982 [doi]
- On the learning and convergence of the radial basis networks983-988 [doi]
- Polynomial and standard higher order neural network989-994 [doi]
- Improved convergence for output scaling of a feedforward network with linear output nodes995-997 [doi]
- Implementation of O(n) complexity max/min circuits for fuzzy and connectionist computing998-1003 [doi]
- Robotic modeling and control using a fuzzy neural network1004-1009 [doi]
- A neuro-fuzzy approach with pairwise comparisons1010-1015 [doi]
- Fuzzified RBF network-based learning control: structure and self-construction1016-1021 [doi]
- A fuzzy neural network learning fuzzy control rules and membership functions by fuzzy error backpropagation1022-1027 [doi]
- Comparing learning performance of neural networks and fuzzy systems1028-1033 [doi]
- Inherent fault tolerance analysis for a class of multi-layer neural networks with weight deviations1034-1039 [doi]
- Networks based on Kanerva's sparse distributed memory: results showing their strengths and limitations and a new algorithm to design the location matching layer1040-1045 [doi]
- Noise corrupted pattern retrieval capability for sparsely encoded associative memory1046-1050 [doi]
- Sparse distributed memory for multivalued patterns1051-1056 [doi]
- A new associative memory which inhibits a meaningless output1057-1062 [doi]
- On the equivalence of two Hopfield-type networks1063-1068 [doi]
- Design of Hopfield content-addressable memories1069-1074 [doi]
- Training a Hopfield memory with noisy examples1075-1080 [doi]
- Analog implementations of a binary relation inference network for minimum cost path problems1081-1085 [doi]
- Strictly digital neurocomputer based on a paradigm of constraint set programming for solving combinatorial optimization problems1086-1091 [doi]
- Neural networks for solving the quadratic 0-1 programming problem under linear constraints1092-1095 [doi]
- A real-time solution for the traveling salesman problem using a Boolean neural network1096-1103 [doi]
- Genetic algorithms and simulated annealing: a marriage proposal1104-1109 [doi]
- Retaining diversity of genetic algorithms for multivariable optimization and neural network learning1110-1114 [doi]
- Genetic algorithm based input selection for a neural network function approximator with applications to SSME health monitoring1115-1122 [doi]
- A dynamic routing control based on a genetic algorithm1123-1128 [doi]
- A comparison of recurrent neural network learning algorithms1129-1134 [doi]
- Dynamics and stability of multilayered recurrent neural networks1135-1140 [doi]
- Putting the simple recurrent network to the test1141-1146 [doi]
- Things you haven't heard about the self-organizing map1147-1156 [doi]
- A new acceleration technique for the backpropagation algorithm1157-1161 [doi]
- Fuzzy function learning with covariance ellipsoids1162-1167 [doi]
- Learning in the hypercube1168-1171 [doi]
- Learning trajectories with a hierarchy of oscillatory modules1172-1176 [doi]
- Neural network construction using multi-threshold quadratic sigmoidal neurons1177-1182 [doi]
- The problem of learning long-term dependencies in recurrent networks1183-1188 [doi]
- Practical considerations for Kalman filter training of recurrent neural networks1189-1195 [doi]
- Constructive learning of recurrent neural networks1196-1201 [doi]
- An unsupervised learning rule for vector normalization and gain control1202-1206 [doi]
- Is LVQ really good for classification?-an interesting alternative1207-1212 [doi]
- Fast nonlinear dimension reduction1213-1218 [doi]
- Error potentials for self-organization1219-1223 [doi]
- Intelligent FMS scheduling using modular neural networks1224-1229 [doi]
- Application of neural networks to fluorescent diagnostics of organic pollution in natural waters1230-1235 [doi]
- Classification of chromosomes using a combination of neural networks1236-1241 [doi]
- Two-bit weights are enough to solve vehicle license number recognition problem1242-1246 [doi]
- An analog wavelet transform chip1247-1251 [doi]
- Hardware implementation of an artificial neural network1252-1257 [doi]
- A neural network systems component1258-1264 [doi]
- Process models and network complexity1265-1269 [doi]
- A multi-layer Kohonen's self-organizing feature map for range image segmentation1270-1275 [doi]
- Segmentation of medical images through competitive learning1277-1282 [doi]
- Neural network based object recognition in images1283-1288 [doi]
- Hopfield-based adaptive state estimators1289-1294 [doi]
- Design of fault tolerant neurocontrollers using immunization technique1295-1300 [doi]
- An adaptive-topology neural architecture and algorithm for nonlinear system identification1301-1306 [doi]
- Self-tuning adaptive control of multi-input, multi-output nonlinear systems using multilayer recurrent neural networks with application to synchronous power generators1307-1312 [doi]
- Neural nets, random design and reverse engineering1313-1320 [doi]
- The role of neural networks in the study of the posterior parietal cortex1321-1326 [doi]
- Color opponency as the internal representation acquired by a three-layered neural network model1327-1332 [doi]
- A relationship between neural networks and programmable logic arrays1333-1337 [doi]
- Minimum description length pruning and maximum mutual information training of adaptive probabilistic neural networks1338-1342 [doi]
- Receptive field estimation for Gaussian-based neural networks1343-1347 [doi]
- Invariance constraints for improving generalization in probabilistic neural networks1348-1353 [doi]
- BAYESNET: Bayesian classification network based on biased random competition using Gaussian kernels1354-1359 [doi]
- How lateral interaction develops in a self-organizing feature map1360-1365 [doi]
- Quantization effects of Hebbian-type associative memories1366-1370 [doi]
- Further cross talk reduction of associative memory and exact data retrieval1371-1378 [doi]
- Convergence of higher-order neural networks with modified updating1379-1384 [doi]
- A theory on a neural net with nonmonotone neurons1385-1390 [doi]
- Adaptive mixtures of local experts are source coding solutions1391-1396 [doi]
- Extraction of semantic rules from trained multilayer neural networks1397-1401 [doi]
- Analysis, modeling and estimation through a similarity based approach: an economic signal case study1402-1407 [doi]
- Combined mutually connected neural network model for higher order association1408-1413 [doi]
- On decomposing MLPs1414-1418 [doi]
- Stock ranking: neural networks vs multiple linear regression1419-1426 [doi]
- Vectorized backpropagation and automatic pruning for MLP network optimization1427-1432 [doi]
- A neural network to solve discrete dynamic programming problems1433-1438 [doi]
- CMAC learning is governed by a single parameter1439-1443 [doi]
- A competitive and selective learning method for designing optimal vector quantizers1444-1450 [doi]
- Bee-havior in a mobile robot: the construction of a self-organized cognitive map and its use in robot navigation within a complex, natural environment1451-1456 [doi]
- Self-architecture-theory and experiment of biological neural network1457-1462 [doi]
- Adaptive predictive control of nonlinear time-varying systems using neural networks1464-1468 [doi]
- Self-generating vs. self-organizing, what's different?1469-1473 [doi]
- An extended self-organizing map with gated neurons1474-1479 [doi]
- Recursive least-squares approach to self-organizing maps1480-1485 [doi]
- Unsupervised learning for multivariate probability density estimation: radial basis and projection pursuit1486-1491 [doi]
- A neural network to diagnose liver cancer1492-1497 [doi]
- Fully parallel summation in a new stochastic neural network architecture1498-1503 [doi]
- Distributed syntactic representations with an application to part-of-speech tagging1504-1509 [doi]
- Neural and associative modules in a hybrid dynamic system for visual industrial quality control1510-1515 [doi]
- Analysis of Linsker-type Hebbian learning: rigorous results1516-1521 [doi]
- Continuous time modeling of nonlinear systems: a neural network-based approach1522-1525 [doi]
- Optimization by reduction to maximum clique1526-1531 [doi]
- Feature extraction of event-related potential waveforms by neural networks1532-1537 [doi]
- Neural network techniques for multi-user demodulation1538-1543 [doi]
- Wavelet neural networks and receptive field partitioning1544-1549 [doi]
- Generation of traveling wave mode in a chained neural oscillator network model1550-1557 [doi]
- Image compression using stochastic neural networks1558-1563 [doi]
- Employing shape to aid magnetic resonance brain segmentation1564-1569 [doi]
- A new analytical method for AM neural networks and its application to pattern recognition1570-1575 [doi]
- Design of an elliptical neural network with application to degraded character classification1576-1582 [doi]
- Parallel implementation of time delay neural networks for phoneme recognition1583-1587 [doi]
- Multiresolution neural networks for omnifont character recognition1588-1593 [doi]
- A pattern recognition ANN that acts as its own in-band and/or bandpass filter1594-1599 [doi]
- An ARTMAP based hybrid neural network for shift invariant Chinese character recognition1600-1605 [doi]
- Connectionist network for feature extraction and classification of English alphabetic characters1606-1611 [doi]
- Representing visual schemas in neural networks for scene analysis1612-1617 [doi]
- A comparison of neural network and nearest-neighbor classifiers of handwritten lower-case letters1618-1621 [doi]
- Self-organized color image quantization for color image data compression1622-1626 [doi]
- Application oriented automatic structuring of time-delay neural networks for high performance character and speech recognition1627-1632 [doi]
- A display oriented technique for interactive pattern recognition by multilayer neural network1633-1637 [doi]
- Parallel computation of neural networks in a processor pipeline with partially shared memory1638-1643 [doi]
- A scaly artificial neural network architecture for isolated word recognition using the British Telecommunications English alphabet database1644-1649 [doi]
- Fuzzy neural networks with fuzzy weights and fuzzy biases1650-1655 [doi]
- Blind bilevel image restoration using Hopfield neural networks1656-1661 [doi]
- Detection of tonals in lofargrams using connectionist methods1662-1666 [doi]
- An application of neural networks in adaptive information retrieval1667-1671 [doi]
- SCRIPT-a prototype for the recognition of continuous, cursive, handwritten input by means of a neural network simulator1672-1677 [doi]
- A local neural implementation of histogram equalization1678-1683 [doi]
- Performance of multilayer neural networks in binary-to-binary mappings under weight errors1684-1689 [doi]
- Maximum likelihood sequence estimation of minimum shift keying modulated signals using a Hopfield neural network1690-1695 [doi]
- 3D motion estimation using single perspective sparse range data via surface reconstruction neural networks1696-1701 [doi]
- Textured image segmentation via neural network probabilistic modeling1702-1707 [doi]
- Stone impact damage to automotive paint finishes-a neural net analysis of electrochemical impedance data1708-1712 [doi]
- An approximation network for measurement systems1713-1718 [doi]
- Evaluation of the performance of various artificial neural networks to the signal fault diagnosis in nuclear reactor systems1719-1723 [doi]
- Neural networks as massively parallel automatic test pattern generators1724-1730 [doi]
- Detection of type-specific herpes virus antibodies by neural network classification of Western blot densitometer scans1731-1736 [doi]
- Neural net simulation with MUSIC1737-1741 [doi]
- Neural network approach to identify batch cell growth1742-1747 [doi]
- Optimal parallel back-propagation schemes for mesh-connected and bus-connected multiprocessors1748-1753 [doi]
- Using neural networks for underwater target ranging1754-1758 [doi]
- An application of neural networks in the control of chemical reactors1759-1763 [doi]
- Speech synthesis with artificial neural networks1764-1769 [doi]
- Automatic speech recognition using hidden Markov models and artificial neural networks1770-1775 [doi]
- On the comparison results of the neural networks trained using well-logs from one service company and tested on another service company's data1776-1779 [doi]
- Identification of high noise time series signals using hybrid ARMA modeling and neural network approach1780-1785 [doi]
- Results of the time series prediction competition at the Santa Fe Institute1786-1793 [doi]
- Simultaneous discovery of detectors and a way of using the detectors via genetic programming1794-1801 [doi]
- An analytical learning algorithm for the dendro-dendritic artificial neural network via linear programming1802-1807 [doi]
- Lambda learning rule for feedforward neural networks1808-1811 [doi]
- A method of training multi-layer networks with heaviside characteristics using internal representations1812-1817 [doi]
- Backpropagation for linearly-separable patterns: A detailed analysis1818-1822 [doi]
- The use of fuzzy membership in network training for isolated word recognition1823-1828 [doi]
- Evolving fuzzy clusters1829-1834 [doi]
- Neurofuzzy interpolation. II. Reducing complexity of description1835-1840 [doi]
- Combination of radial basis function neural networks with optimized learning vector quantization1841-1846 [doi]
- Comparative fault tolerance of generalized radial basis function and multilayer perceptron networks1847-1852 [doi]
- Radial basis functions and multilayer feedforward neural networks for optimal control of nonlinear stochastic systems1853-1858 [doi]
- Robust construction of radial basis function networks for classification1859-1864 [doi]
- Improved CNC machining using NARMA neural systems1865-1870 [doi]
- Neural and cognitive modeling of analogical reasoning1871-1875 [doi]
- Failure diagnosis system on pneumatic control valves by neural network1876-1881 [doi]
- Implementation of a multilayer perceptron network using an optically addressed photoconductive array1882-1889 [doi]
- Problems of massive parallelism in neural network simulation1890-1895 [doi]
- Neural network controller for rearrangeable switching networks1896-1901 [doi]
- A sound localization system based on biological analogy1902-1907 [doi]
- Using elastic nets for correspondence in range data1908-1913 [doi]
- Auditory model representation and comparison for speaker recognition1914-1919 [doi]
- Prediction-based networks with ECG application1920-1925 [doi]
- Time-optimal terminal control using neural networks1926-1931 [doi]
- Classifying fingerprint images using neural network: deriving the classification state1932-1937 [doi]
- Perspective reversal caused by chaotic switching in PDP schema model1938-1943 [doi]
- Kohonen feature maps as a supervised learning machine1944-1948 [doi]
- Classification with missing and uncertain inputs1949-1954 [doi]
- Adaptive retina-like preprocessing for imaging detector arrays1955-1960 [doi]
- Autonomous trajectory generation of a biped locomotive robot using neuro oscillator1961-1966 [doi]
- Fuzzy min-max neural networks for function approximation1967-1972 [doi]
- Networks that approximate vector-valued mappings1973-1978 [doi]
- Neural plant inverse control approach to color error reduction for scanner and printer1979-1983 [doi]