Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27 - December 1, 1995. IEEE, 1995. [doi]

Conference: icnn1995

Abstract is missing.

- Low level visual motion processing using local motion detectors1-6 [doi]
- Neural networks-competence and performance7-10 [doi]
- Neural basis for the design of fractional discriminant functions11-15 [doi]
- Can computer vision assist creativity?16-21 [doi]
- Automatic estimation of age at death from human bone cross-sections using neural networks22-26 [doi]
- Virtual cockpit: fuzzy neural networks in visual perception27-31 [doi]
- Unsupervised classification of Antarctic satellite imagery using Kohonen's self-organising feature map32-36 [doi]
- Colour bake inspection system using hybrid artificial neural networks37-42 [doi]
- A neural network component in a texture classification system43-48 [doi]
- Identification of sample size needed in a given classification task49-52 [doi]
- A computational network for global optimization of particle tracks in stereo image velocimetry53-58 [doi]
- Device calibration of a color image scanner digitizing system by using neural networks59-62 [doi]
- An error perturbation for learning and detection of local minima in binary 3-layered neural networks63-68 [doi]
- Closed semiring optimization circuits using a connectionist approach69-72 [doi]
- Comparison of dynamic feature map models for environmental monitoring73-78 [doi]
- Comparative analysis of some neural network architectures for data fusion79-83 [doi]
- Training ANN using linear minimax techniques84-89 [doi]
- Analog feedforward neural networks with very low precision weights90-94 [doi]
- Information measure of knowledge extracted from neurons as a tool for analyzing Boolean learning in artificial neural networks95-100 [doi]
- Estimating expected error rates of neural network classifiers in small sample size situations: a comparison of cross-validation and bootstrap101-104 [doi]
- A connectionist approach to learning discrete-valued patterns105-110 [doi]
- Self-organizing operator map for nonlinear dimension reduction111-114 [doi]
- On improved learning algorithms with adaptive parameter regulation in feedforward nets115-120 [doi]
- Vibration fault detection of large turbogenerators using neural networks121-126 [doi]
- A hierarchical fractal net for pattern classification127-131 [doi]
- Solving two-spiral problem through input data representation132-135 [doi]
- Implementing the k-nearest neighbour rule via a neural network136-140 [doi]
- Generic flaw detection within images141-145 [doi]
- The Hough transform and the UpWrite: a comparison146-151 [doi]
- Multi-chip module technology152-157 [doi]
- The impact of VLSI technologies on neural networks158-163 [doi]
- A VLSI BAM neural network chip for pattern recognition applications164-168 [doi]
- A VLSI friendly neural network with localised transfer functions169-174 [doi]
- Cascade error projection: an efficient hardware learning algorithm175-178 [doi]
- Synaptic weight generation in VLSI stochastic neural networks179-182 [doi]
- On the development of a neural network based orthogonal nonlinear principal component algorithm for process data analysis183-188 [doi]
- Automatic source identification of monophonic musical instrument sounds189-194 [doi]
- Hybrid neural network pattern recognition system for satellite measurements195-199 [doi]
- Neural network approximation: application to peak switching overvoltage determination in power systems200-204 [doi]
- Simulation of a neural net controller for motor drives205-209 [doi]
- Neuro-fuzzy modeling and control for magnetic field of deflection yoke210-215 [doi]
- Neural networks for ocean engineering216-219 [doi]
- Application of neural network to marine vehicle220-224 [doi]
- Feedback-error-learning neural network for the automatic maneuvering system of a ship225-230 [doi]
- On-line adaptable controller system for underwater robot231-236 [doi]
- An empirical study of the time complexity of various error functions with conjugate gradient backpropagation237-241 [doi]
- Learning by supervised clustering and matching242-246 [doi]
- Neural training of complex sequential associations using recurrent continuous backpropagation247-252 [doi]
- Entropic optimum synthesis of multi-layered feed-forward ANNs253-258 [doi]
- A fully Kalman-trained radial basis function network for nonlinear speech modeling259-264 [doi]
- On optimal radial basis function nets and nonlinear function estimates265-269 [doi]
- Neighbour-based MLPs270-274 [doi]
- Neural network information criterion for the optimal number of hidden units275-280 [doi]
- On the effect of the nonlinearity of the sigmoid function in artificial neural network classifiers281-284 [doi]
- A class of simple nonlinear 1-unit PCA neural networks285-289 [doi]
- Non-ontogenic sparse neural networks290-295 [doi]
- A new orthogonal neural network296-299 [doi]
- Maximum likelihood training of probabilistic neural networks with rotationally related covariance matrices300-303 [doi]
- Small, fast runtime modules for probabilistic neural networks304-308 [doi]
- The modified probabilistic neural network as a nonlinear correlator detector309-313 [doi]
- An adaptive tracking controller using neural networks for nonlinear systems314-319 [doi]
- A self-learning neuro fuzzy controller320-322 [doi]
- Modeling of unsteady heat conduction field by using composite recurrent neural networks323-328 [doi]
- A comparison of criterion functions for a neural network applied to binary detection329-333 [doi]
- A hierarchical anticipatory neural controller with fuzzy spectral filter diagnostics334-338 [doi]
- Reinforcement learning method for DEDS supervision339-344 [doi]
- Design of fuzzy inference systems using regression trees345-348 [doi]
- Fuzzy logic and knowledge representation in a symbolic-subsymbolic architecture349-353 [doi]
- A parametric heterogeneous fuzzy data model354-358 [doi]
- Neural multivariate prediction using even-knowledge and selective presentation learning359-364 [doi]
- Gain elimination from backpropagation neural networks365-368 [doi]
- Cross-validation without a validation set in BP-trained neural nets369-372 [doi]
- Training a neural network with conjugate gradient methods373-378 [doi]
- Ambiguous binary representation in multilayer neural networks379-384 [doi]
- Efficient estimation of dynamically optimal learning rate and momentum for backpropagation learning385-388 [doi]
- Utilization of hierarchical structure stochastic automata for the back propagation method with momentum389-393 [doi]
- Pipelined neural tree learning by error forward-propagation394-397 [doi]
- A dataflow processing element for neural network simulation398-402 [doi]
- Universal approximation using dynamic recurrent neural networks: discrete-time version403-408 [doi]
- A neural network classification tree409-413 [doi]
- Writer verification using multiple neural networks414-417 [doi]
- Artificial neural networks application for current rating of overhead lines418-422 [doi]
- Application of neural networks in circuit analysis423-426 [doi]
- Fault modeling and reliability evaluations using artificial neural networks427-432 [doi]
- Neural network application to head and tail width control in a hot strip mill433-437 [doi]
- Improved singular value decomposition by using neural networks438-442 [doi]
- Neural convolutional decoders in the satellite channel443-448 [doi]
- A novel decoder structure for convolutional codes based on a multilayer perceptron449-454 [doi]
- Application of a high speed analog neural network chip in the first level RZ-trigger of the H1-experiment at HERA455-458 [doi]
- Feature extraction of machinery diagnosis using neural network459-464 [doi]
- Image clustering using self-organizing feature map with refinement465-469 [doi]
- Artificial neural networks for force and power predictions in oblique cutting470-475 [doi]
- The application of neural networks to UNIX computer security476-481 [doi]
- A neural network for the automatic diagnosis of the telephone switching systems482-487 [doi]
- Application of recurrent neural network for active filter488-491 [doi]
- Performance improvements for a neural network detector492-495 [doi]
- Representation of first order dynamical systems using neural networks496-501 [doi]
- Unsupervised learning for channel equalization using a neural network data receiver502-506 [doi]
- Multiple neural network filtering for in-flight calibration of satellite measurements507-510 [doi]
- Using reinforcement learning to solve the labyrinth game, a nonlinear control application511-515 [doi]
- Application of artificial neural networks to the real time operation of water treatment plants516-521 [doi]
- Classification of metal transfer mode using neural networks522-525 [doi]
- Lithology classification using self-organising map526-531 [doi]
- arboART: ART based hierarchical clustering and its application to questionnaire data analysis532-537 [doi]
- Fuzzy ART neural network approach for incipient fault detection and isolation in rotating machines538-542 [doi]
- Neural networks applied to regioselectivity of radical additions543-545 [doi]
- Autonomous fault diagnosis system using learning with queries546-549 [doi]
- Application of neural networks to computer gaming550-554 [doi]
- Optimal neural network for solution of Lyapunov equation555-559 [doi]
- Perceptron neural network to evaluate soybean plant shape560-563 [doi]
- Prime numbers and output codes564-568 [doi]
- An experimental evaluation of neural network approach to circuit partitioning569-574 [doi]
- Neuro-aided guidance system for optimum desulphurization treatment in torpedo cars575-579 [doi]
- Median and neural networks hybrid filters580-583 [doi]
- Data-dependent filters with fuzzy-neural network584-587 [doi]
- Learning chaotic dynamics in recurrent RBF network588-593 [doi]
- Orthogonal polynomials neural network for function approximation and system modeling594-599 [doi]
- Signal classification based on frequency analysis using multilayer neural network with limited data and computation600-605 [doi]
- A rule-based channel equalizer with learning capability606-611 [doi]
- Control of the underexcitation mode of synchronous machines in power plants612-616 [doi]
- Stability and equilibrium points in neurocontrol617-621 [doi]
- Elastic fuzzy logic for self-learning control systems622-626 [doi]
- Pressure control in a plant generating chloride by neural network PID control627-630 [doi]
- A temperature control of steel strip using neural network in continuous annealing process631-635 [doi]
- Identifying and controlling deadband systems using neural networks636-639 [doi]
- Neural network-based model reference control for inverted pendulum640-644 [doi]
- Analog CMOS current-mode implementation of the feedforward neural network with on-chip learning and storage645-650 [doi]
- Hierarchical mixture of experts and Max-Min propagation neural networks651-656 [doi]
- A behaviour-oriented approach to an implicit "object-understanding" in visual attention657-662 [doi]
- Classification capabilities of architecture-specific recurrent networks663-668 [doi]
- Engram decay in artificial neural networks669-673 [doi]
- Acquiring semantic power in a "weightless" neural network674-679 [doi]
- Network expansion and network compression-further discussion on structure variation methods680-685 [doi]
- 'NEURAL-MAINE': intelligent on-line multiple sensor diagnostics for steam turbines in power generation686-691 [doi]
- Dynamic structure adaptation in feedforward neural networks-an example of plant monitoring692-697 [doi]
- Combined inverse system method and neural network for designing nonlinear excitation control law698-701 [doi]
- Transient stability assessment: an artificial neural network approach702-707 [doi]
- Genetic algorithms enhanced Kohonen's neural networks708-712 [doi]
- A neural network image classification system for automatic inspection713-717 [doi]
- Acoustic diagnosis for blower with wavelet transform and neural networks718-723 [doi]
- Failure diagnosis for pneumatic control valves by neural network724-729 [doi]
- Using neural network for parts inspection730-733 [doi]
- Fusion of integrated multisensor data for tool wear monitoring734-737 [doi]
- Invariant representation and hierarchical network for inspection of nuts from X-ray images738-743 [doi]
- Fuzzy rule extraction from a trained multilayer neural network744-748 [doi]
- Building fuzzy systems by soft competitive learning749-754 [doi]
- An autonomous, adaptive optimization control system with cooperative fuzzy reasoning and a neural network for large scale process operations755-759 [doi]
- Coactive neural fuzzy modeling760-765 [doi]
- Neuro-fuzzy projection pursuit regression766-770 [doi]
- New forms of combined matrices in fuzzy cognitive maps771-776 [doi]
- A functional analytic approach to incremental learning in optimally generalizing neural networks777-782 [doi]
- An /spl epsi/-approximation approach for global optimization with an application to neural networks783-788 [doi]
- Topology analysis of data space using self-organizing feature map789-794 [doi]
- Unit-growing learning optimizing the solvability condition for model-free regression795-800 [doi]
- Second-order training for recurrent neural networks without teacher-forcing801-806 [doi]
- Inserting background knowledge in perceptrons through modification of the learning algorithm807-812 [doi]
- A hybrid neural network approach to the pricing of options813-817 [doi]
- Utilization of neural network for constructing a user friendly decision support system to deal stocks818-823 [doi]
- Neural logic hybrid system for currency option trading824-828 [doi]
- A RPCL-CLP architecture for financial time series forecasting829-832 [doi]
- Economic forecasting using neural networks833-838 [doi]
- Artificial intelligence in financial markets839-844 [doi]
- Detection and removal of impulse noise by a neural network guided adaptive median filter845-849 [doi]
- Nonlinear adaptive digital filters using parallel neural networks850-853 [doi]
- Growing filters for finite impulse response networks854-859 [doi]
- Learning rate adaptation achieved in unsupervised competitive learning: an application to noise cancelling860-864 [doi]
- On-line learning algorithms for neural networks with IIR synapses865-870 [doi]
- Data fusion and nonlinear tracking filter implementation using multilayer networks871-876 [doi]
- Adaptive neural networks for tariff forecasting and energy management877-881 [doi]
- An artificial neural network-based expert system for network topological error identification882-886 [doi]
- An application of mean field theory to optimal power flow887-892 [doi]
- Power system transient stability analysis by using modified Kohonen network893-898 [doi]
- Improving recurrent network load forecasting899-904 [doi]
- Artificial neural network model for analysis of power system harmonics905-910 [doi]
- Utilising artificial neural network and repro-modelling in turbulent combustion911-916 [doi]
- Towards self organizing cache memories using neural networks917-922 [doi]
- Harmonic detection by using neural network923-926 [doi]
- Improving learning vector quantization classifier in machine fault diagnosis by adding consistency927-931 [doi]
- Typicality in computer mediated discussions-an analysis with neural networks932-936 [doi]
- Equilibrium parameters recovery for experimental data in ASDEX Upgrade elongated plasmas937-941 [doi]
- Function evaluation and the cascade-correlation architecture942-946 [doi]
- 2D simulations of cortical networks in a neural processor array model947-952 [doi]
- A parallel recurrent cascade-correlation neural network with natural connectionist glue953-956 [doi]
- A pseudo outer-product based fuzzy neural network957-962 [doi]
- Relevant features selection with radial basis neural networks963-967 [doi]
- New classifier with reduced computational complexity968-973 [doi]
- Minimum /spl alpha/-information strategy for the interpretation of the network behaviors and the improved generalization974-978 [doi]
- Simple recurrent networks as generalized hidden Markov models with distributed representations979-984 [doi]
- Information maximization for feature detection and pattern classification by autoencoders985-989 [doi]
- A statistical neural network for high-dimensional vector classification990-994 [doi]
- Nonlinear PCA type approaches for source separation and independent component analysis995-1000 [doi]
- A novel global training algorithm and its convergence theorem for fuzzy neural networks1001-1006 [doi]
- A backpropagation neural network for sales forecasting1007-1011 [doi]
- Forecasting the KLSE index using neural networks1012-1017 [doi]
- Multivariate FOREX forecasting using artificial neural networks1018-1022 [doi]
- Enhancing technical analysis in the forex market using neural networks1023-1027 [doi]
- Short term prediction of sales in supermarkets1028-1031 [doi]
- An adaptive and modular recurrent neural network based power system load forecaster1032-1036 [doi]
- C-NNAP-a parallel processing architecture for binary neural networks1037-1041 [doi]
- Evaluation of training and mapping Sigma-pi networks to a massively parallel processor1042-1047 [doi]
- General mapping of feed-forward neural networks onto an MIMD computer1048-1053 [doi]
- Parallel self-organizing maps for actual applications1054-1059 [doi]
- Approximation with neural networks: between local and global approximation1060-1064 [doi]
- Global asymptotic stability criteria for multilayer recurrent neural networks with applications to modelling and control1065-1069 [doi]
- Theory and applications of sparsely interconnected feedback neural networks1070-1075 [doi]
- On the design and initialization of layered feed-forward neural networks1076-1079 [doi]
- Intact egg freshness quality inspection using neural networks1080-1085 [doi]
- Content-based software classification by self-organization1086-1091 [doi]
- Neural networks in multidimensional problems: a case study for questionnaire classification1092-1097 [doi]
- Artificial neural networks in marine propeller design1098-1102 [doi]
- Hurricane tracking via backpropagation neural network1103-1106 [doi]
- Theoretical considerations on the capabilities of crossbar switching by Hopfield networks1107-1110 [doi]
- A self organizing artificial neural network with problem dependent structure1111-1115 [doi]
- A growing network that optimizes between undertraining and overtraining1116-1120 [doi]
- Maximizing the target-pattern cross-correlation for training time-delay neural networks1121-1125 [doi]
- Cascade correlation: derivation of a more numerically stable update rule1126-1129 [doi]
- Learning and generalization in a coulombian network1130-1133 [doi]
- Recurrent perceptron learning algorithm for CNNs with application to edge detection1134-1139 [doi]
- Three-dimensional pose from two-dimensional images: a novel approach using synergetic networks1140-1144 [doi]
- Industrial computer vision using undefined feature extraction1145-1149 [doi]
- A multi-computer neural network applied to machine-vision1150-1153 [doi]
- Low contrast object detection using a MLP network designed by node creation1155-1159 [doi]
- Compressing higher-order co-occurrences for texture analysis using the self-organizing map1160-1164 [doi]
- Transient discrimination in nonlinear time series using linear-phase time-delay neural networks1165-1169 [doi]
- A method of selecting similar learning data in the prediction of time series using neural networks1170-1175 [doi]
- A method of selecting learning data in the prediction of time series with explanatory variables using neural networks1176-1181 [doi]
- Snowfall and rainfall forecasting from weather radar images with artificial neural networks1182-1187 [doi]
- Lagrange programming neural networks for blind Volterra system modelling1188-1193 [doi]
- Training and evaluation of neural networks for multi-variate time series processing1194-1199 [doi]
- Learning with ease: smart neural nets1200-1205 [doi]
- Pruning within cascade-correlation1206-1210 [doi]
- PCN: the probabilistic convergent network1211-1214 [doi]
- Adaptive integration of multiple experts1215-1220 [doi]
- Proposal of coherent optical neural networks whose behavior is controlled by optical frequency1221-1224 [doi]
- Connectionist-network auction algorithm for the assignment problem1225-1228 [doi]
- The estimation theory and optimization algorithm for the number of hidden units in the higher-order feedforward neural network1229-1233 [doi]
- Parallel neural network architectures1234-1239 [doi]
- Voting schemes for cooperative neural network classifiers1240-1243 [doi]
- A partially recurrent architecture applied to classification problems1244-1248 [doi]
- Computational neural networks1249-1253 [doi]
- Local-sparse connection multilayer networks1254-1257 [doi]
- A new unsupervised learning algorithm for the placement of centers in a radial basis function neural network (RBFNN)1258-1262 [doi]
- Building precise classifiers with automatic rule extraction1263-1268 [doi]
- Design of radial basis function networks using decision trees1269-1272 [doi]
- Universal learning network and computation of its higher order derivatives1273-1277 [doi]
- A three-hierarchy neural network structure and its application to the speaker-independent speech recognition of Chinese words1278-1281 [doi]
- Design of a partially activated neural network1282-1286 [doi]
- Chaos control using second order derivatives of universal learning network1287-1292 [doi]
- A maximum likelihood neural network based on a log-linearized Gaussian mixture model1293-1298 [doi]
- Fault-tolerant MLP networks for improved reliability and safety1299-1303 [doi]
- Knowledge processing system using multidirectional associative memory1304-1309 [doi]
- On an efficient design algorithm for modular neural networks1310-1315 [doi]
- Unsupervised learning of concept for action planning1316-1321 [doi]
- Bidirectional neural networks and class prototypes1322-1327 [doi]
- Connectionist realization of semantic networks using an adaptive associative memory, AAM1328-1333 [doi]
- Incorporating additional hint neurons in recurrent neural networks to improve convergence1334-1337 [doi]
- Minimisation of data collection by active learning1338-1341 [doi]
- A new approach for the automatic generation of membership functions and rules of multi-variable fuzzy system1342-1346 [doi]
- Event representation in fuzzy neural networks with qualitative inputs1347-1352 [doi]
- Dynamic fuzzy reasoning model with fuzzy cognitive map in Chinese chess1353-1357 [doi]
- A self-tuning fuzzy controller design1358-1362 [doi]
- A modular design of fuzzy neural network with application to telecommunication network management control1363-1368 [doi]
- Implementing a neural network for a progressive fuzzy clustering algorithm1369-1372 [doi]
- Adaptive classification of hand movement1373-1378 [doi]
- Hybrid knowledge acquisition by integrating decision trees and neural networks1379-1383 [doi]
- Optimising neural network weights using genetic algorithms: a case study1384-1388 [doi]
- Handwritten digits recognition with neural networks and fuzzy logic1389-1392 [doi]
- A new learning method to improve the category proliferation problem in fuzzy ART1393-1396 [doi]
- A review of a hybrid neural network: Kohonen learning vector quantization and counterpropagation1397-1402 [doi]
- Hierarchical control system based on unsupervised fuzzy-neuro system1403-1408 [doi]
- An integration of neural networks and nonmonotonic reasoning for power system diagnosis1409-1413 [doi]
- A hybrid neural network for spatio-temporal pattern recognition1414-1417 [doi]
- A high-dimensional SOFM vector quantizer with weightless neural predictor1418-1421 [doi]
- The neural network modelled POCS method for removing blocking effect1422-1425 [doi]
- Boundary detection of color images using neural networks1426-1431 [doi]
- The coordinates of the four corners of image date files and their applications [for date read data]1432-1437 [doi]
- Image restoration by the adaptive fuzzy backpropagation hybrid network1438-1443 [doi]
- Recognition of traffic signs by artificial neural network1444-1449 [doi]
- An auto-invertible neural network for image halftoning and restoration1450-1455 [doi]
- Neural network-based regions detection1456-1459 [doi]
- A connectionist model for graytone thinning1460-1465 [doi]
- Neuron-type operation using stimulated Raman scattering1466-1469 [doi]
- Processing cell array neural network multiprocessors1470-1473 [doi]
- Digital neural processor for parallel structure and cost performance comparison of the architectures1474-1477 [doi]
- A reconfigurable low-voltage low-power building block for artificial neural networks1478-1481 [doi]
- Analysis and implementation of a VLSI neural network1482-1486 [doi]
- The efficient design of fault-tolerant artificial neural networks1487-1491 [doi]
- Ratio pulse arithmetic for radial basis function network1492-1495 [doi]
- Neural network for optimization of existing control systems1496-1501 [doi]
- Realization of bidirectional associative memory using a pseudo-parallel searching approach1502-1507 [doi]
- A hippocampal model implementation using VLSI table-look-up and model-based approaches1508-1512 [doi]
- Ability of the complex backpropagation algorithm to learn similar transformation1513-1516 [doi]
- A study on the mechanism of the minimum searching by the chaotic neural network1517-1520 [doi]
- A learning method to control the frequency of the oscillatory neural network1521-1524 [doi]
- An analysis of coincidence detector networks1525-1529 [doi]
- Nonequilibrium dynamics in neural networks consisting of excitatory and inhibitory populations1530-1534 [doi]
- Twofold type of backpropagation neural network1535-1540 [doi]
- Investigation of periodic time series using neural networks and adaptive error thresholds1541-1545 [doi]
- Neural networks in real time control of telecommunication networks1546-1551 [doi]
- Analysis of fast fading in multipath propagation by forward-only counterpropagation network1552-1556 [doi]
- Neural channel assignment-the fast way1557-1560 [doi]
- Neural adaptation for optimal traffic shaping in telephone systems1561-1565 [doi]
- Neural detection of QAM modulation in the presence of interference1566-1569 [doi]
- On the identification of a chaotic system by means of recurrent neural state space models1570-1573 [doi]
- Spatiotemporal pattern generation by control and synchronization of chaos1574-1577 [doi]
- Chaotic Potts spin1578-1583 [doi]
- A study of Hopfield neural networks with external noises1584-1589 [doi]
- Pulse coded cellular neural network and it's hardware implementation1590-1594 [doi]
- The classification of motion in image sequences using 3D recursive adaptive filters to obtain neural network input vectors1595-1599 [doi]
- Efficient image retrieval using a network with complex neurons1600-1605 [doi]
- Improved recognition of E. coli 0157: H7 bacteria from pulsed-field gel electrophoresis images through the fusion of neural networks with fuzzy training data1606-1610 [doi]
- Relaxation labeling and associative memory1611-1616 [doi]
- Shell-prototype clustering models1617-1621 [doi]
- Fuzzy gated neuronal architecture for pattern recognition1622-1627 [doi]
- Self-learning neural network LSI with high-resolution non-volatile analog memory1628-1632 [doi]
- Implementation of simplified multilayer neural networks with on-chip learning1633-1637 [doi]
- General memory neural network-extending the properties of basis networks to RAM-based architectures1638-1643 [doi]
- Behavior-driven minimal implementation of digital ANNs1644-1649 [doi]
- A compact VLSI design for recursive neural networks with hardware annealing capability1650-1655 [doi]
- Hardware realization of higher-order CMAC model for color calibration1656-1661 [doi]
- Locally C/sup 1/ interpolation of functions on an arbitrary simplex mesh using a simple feed-forward perceptron1662-1667 [doi]
- Learning critical temperature for homomorphic ARG matching by self-organising Hopfield network1668-1673 [doi]
- Theoretical comparison of mappings of combinatorial optimization problems to Hopfield networks1674-1677 [doi]
- Optimization by pulsed recursive neural networks1678-1683 [doi]
- A bigradient optimization approach for robust PCA, MCA, and source separation1684-1689 [doi]
- Penalty formulation for 0-1 linear programming problem: a neural network approach1690-1693 [doi]
- The use of multilayered perceptrons for remote sensing classification with temporal data1694-1698 [doi]
- Detection of sodium oxalate needles in optical images using neural network classifiers1699-1702 [doi]
- Image restoration by Hopfield networks considering the line process1703-1707 [doi]
- Low bit rate coding of image sequences using neural networks1708-1712 [doi]
- Increasing colour image segmentation accuracy by means of fuzzy post-processing1713-1718 [doi]
- Modular neural net architecture for one-step thinning algorithm1719-1723 [doi]
- Application of wave-nets to modelling and optimisation of a multidimensional chemical process1724-1728 [doi]
- Prediction of bifurcation from chaotic circuit with RBF1729-1732 [doi]
- Approximating elliptic PDE by perturbation of neural dynamics1733-1738 [doi]
- On the mapping of linear classification trees onto one-hidden-layer neural nets1739-1743 [doi]
- Combining neural networks for protein secondary structure prediction1744-1748 [doi]
- Application of 3-layer perceptrons to cost estimation1749-1754 [doi]
- Multimodule associative memory for many-to-many associations1755-1760 [doi]
- Gaussian correlation associative memory1761-1766 [doi]
- Mean-field theory of the three-level associative memory and its synthesis1767-1771 [doi]
- A study of extended learning strategies for bidirectional associative memories1772-1776 [doi]
- Relaxing backpropagation networks as associative memories1777-1782 [doi]
- Neural networks trained for associative memory1783-1787 [doi]
- Reduction of symbolic rules from artificial neural networks using sensitivity analysis1788-1793 [doi]
- Integrating rules and neural computation1794-1799 [doi]
- HILDA: knowledge extraction from neural networks in legal rule based and case based reasoning1800-1805 [doi]
- Production rule extraction1806-1811 [doi]
- Comparison of extracted rules from multiple networks1812-1815 [doi]
- Significance measures and data dependency in classification methods1816-1822 [doi]
- Emulating human decision making process using hybrid system1823-1827 [doi]
- Integration of neural networks with knowledge-based systems1828-1833 [doi]
- Designing a neural network by a genetic algorithm with partial fitness1834-1838 [doi]
- Hierarchical intelligent prediction system using RBF based AFS1839-1844 [doi]
- A robust growing-pruning algorithm using fuzzy logic1845-1850 [doi]
- Evolving wavelet neural networks1851-1854 [doi]
- Higher order neural networks for combinatorial optimisation improving the scaling properties of the Hopfield network1855-1860 [doi]
- Neural network approach for general assignment problem1861-1866 [doi]
- Neural networks for solving constrained Steiner tree problem1867-1870 [doi]
- A simple steepest descent method for minimizing Hopfield energy to obtain optimal solution of the TSP with reasonable certainty1871-1875 [doi]
- Solving the generalised quadratic assignment problem using a self-organising process1876-1879 [doi]
- Dual-mode dynamics neural network (D2NN) for the traveling salesman problem1880-1885 [doi]
- Estimation of texture element size and regularity in feature space1886-1891 [doi]
- Using neural networks for undithering1892-1897 [doi]
- Multi-reference neighborhood search for vector quantization by neural network prediction and self-organized feature map1898-1902 [doi]
- A realization of edge-preserving smoothing filters using layered neural networks1903-1906 [doi]
- Hybrid neural network system for cloud classification from satellite images1907-1912 [doi]
- Lyapunov function based design of dynamical neural networks for restoration of blurred and noisy images1913-1918 [doi]
- A means of VLSI current controlled weight setting in ANNs1919-1922 [doi]
- Estimation of size of hidden layer on basis of bound of generalization error1923-1927 [doi]
- Using genetic algorithms with grammar encoding to generate neural networks1928-1931 [doi]
- A model for mixed category perception based on absolute feature values1932-1937 [doi]
- Evolution and computational intelligence1938-1941 [doi]
- Particle swarm optimization1942-1948 [doi]
- Quick learning for multidirectional associative memories1949-1954 [doi]
- A recurrent neural network with serial delay elements for memorizing limit cycles1955-1960 [doi]
- Neural network approach to relevance1961-1965 [doi]
- Optimizing the hard address distribution for sparse distributed memories1966-1970 [doi]
- Associative storage of complex sequences in recurrent neural networks1971-1976 [doi]
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