IJCNN 1990, International Joint Conference on Neural Networks, San Diego, CA, USA, June 17-21, 1990. IEEE, 1990. [doi]

Conference: ijcnn1990

Abstract is missing.

- Dynamically defined gestures in an articulatory phonology1 [doi]
- Stationarity and nonstationarity in a self-organizing information system with primitive intentions1 [doi]
- Knowing how to juggle: dynamical basis of a complex, learned skill1 [doi]
- Stock market prediction system with modular neural networks1-6 [doi]
- Toward context dependent classification of infra-red spectra by energy minimization1-6 [doi]
- On the capacity of three-layer networks1-6 [doi]
- Neural network data fusion concepts and application7-16 [doi]
- Computation of proximity effect corrections in electron beam lithography by a neural network7-14 [doi]
- Approximating and learning unknown mappings using multilayer feedforward networks with bounded weights7-16 [doi]
- Fingerprint processing using back propagation neural networks15-20 [doi]
- Convergence of Kohonen's learning vector quantization17-20 [doi]
- Multi sensor data fusion within hierarchical neural networks17-22 [doi]
- Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights21-26 [doi]
- Connectivity strategies for higher-order neural networks applied to pattern recognition21-26 [doi]
- Meteorological classification of satellite imagery using neural network data fusion23-28 [doi]
- Applying a Hopfield-style network to degraded text recognition27-32 [doi]
- Modification of backpropagation networks for complex-valued signal processing in frequency domain27-31 [doi]
- Neural network controller for adaptive routing in survivable communications networks29-36 [doi]
- Automotive diagnostics using trainable classifiers: statistical testing and paradigm selection33-38 [doi]
- Neurogammon: a neural-network backgammon program33-39 [doi]
- A neurocontroller based on model feedback and the adaptive heuristic critic37-44 [doi]
- Frequency selective surface design based on iterative inversion of neural networks39-44 [doi]
- MEKA - a fast, local algorithm for training feedforward neural networks41-46 [doi]
- Radial basis function classification of impulse radar waveforms45-50 [doi]
- Speaker-independent recognition of spoken English letters45-51 [doi]
- Analysis of transients on basis of identification of signal generative structure: Even unto chaos47-55 [doi]
- Hebbian feature discovery improves classifier efficiency51-56 [doi]
- Bone fracture healing assessment using a neural network53-58 [doi]
- Speaker-independent phoneme recognition on TIMIT database using integrated time-delay neural networks (TDNNs)57-62 [doi]
- Query learning based on boundary search and gradient computation of trained multilayer perceptrons57-62 [doi]
- A real time neural net estimator of fatigue life59-64 [doi]
- INSIDE: a neuronet based hardware fault diagnostic system63-68 [doi]
- Comparison between entropy net and decision tree classifiers63-68 [doi]
- Categorization of faces using unsupervised feature extraction65-70 [doi]
- Classifying impulse radar waveforms using principle components analysis and neural networks69-74 [doi]
- Role of activation function on hidden units for sample recording in three-layer neural networks69-74 [doi]
- A high-speed learning method for analog neural networks71-76 [doi]
- Proposal for neural-network applications to fiber-optic transmission75-80 [doi]
- Smoothing backpropagation cost function by delta constraining75-80 [doi]
- Building expert systems by a modified perceptron network with rule-transfer algorithms77-82 [doi]
- A learning rule in the Chebyshev norm for multilayer perceptrons81-86 [doi]
- Incipient fault detection and diagnosis using artificial neural networks81-86 [doi]
- Neural networks for computing invariant clustering of a large open set of DNA-PCR-primers generated by a feature-knowledge based system83-89 [doi]
- A neural sorting network with O(1) time complexity87-95 [doi]
- A generalist-specialist paradigm for multilayer neural networks87-91 [doi]
- PROCANS: a protein classification system using a neural network91-96 [doi]
- Learning with hidden targets93-98 [doi]
- Rule extraction and validity domain on a multilayer neural network97-100 [doi]
- Out-of-core backpropagation97-103 [doi]
- Learning by parallel forward propagation99-104 [doi]
- Classifying seismic signals via RCE neural network101-105 [doi]
- Neural networks in noisy environment: a simple temporal higher order learning for feed-forward networks105-112 [doi]
- The use of back propagation neural networks to identify mediator-specific cardiovascular waveforms105-110 [doi]
- A neural network trained to select aircraft maneuvers during air combat: a comparison of network and rule based performance107-112 [doi]
- Information retrieval using hybrid multi-layer neural networks111-117 [doi]
- Learning internal representations of pattern sequences in a neural network with adaptive time-delays113-118 [doi]
- Cooperation of neural nets for robust classification113-120 [doi]
- A new robust neural network method for coherent interference rejection in adaptive array systems119-124 [doi]
- Topological analysis of infinite learning automata I: classification of neural network behavior119-124 [doi]
- A neural network architecture for the decoding of long constraint length convolutional codes121-126 [doi]
- Structured trainable networks for matrix algebra125-132 [doi]
- Strictly local backpropagation125-130 [doi]
- Neural computation for planning AND/OR precedence-constraint robot assembly sequences127-142 [doi]
- Dynamics of signal processing in feedback multilayer perceptrons131-136 [doi]
- Nonlinear dynamic system identification using artificial neural networks (ANNs)133-141 [doi]
- The influence of training sets on generalization in feed-forward neural networks137-142 [doi]
- Polar backpropagation [artificial neural networks]143-148 [doi]
- Improved evoked potential estimation using neural network143-148 [doi]
- NPS: a neural network programming system143-148 [doi]
- A method for designing the internal representation of neural networks149-154 [doi]
- Feature maps based weight vectors for spatiotemporal pattern recognition with neural nets149-155 [doi]
- A shunting inhibitory motion detector that can account for the functional characteristics of fly motion-sensitive interneurons149-153 [doi]
- Neural circuitry mediating locomotion in C. elegans : molecular correlates of inhibitory motor neurons155-160 [doi]
- Explicit representation of knowledge acquired from plant historical data using neural network155-160 [doi]
- Neural networks for bond rating improved by multiple hidden layers157-162 [doi]
- Statistical neurodynamics of the oscillatory circuit underlying central pattern generation161-168 [doi]
- Extra output biased learning161-166 [doi]
- A neural network model for bankruptcy prediction163-168 [doi]
- Descending epsilon in back-propagation: a technique for better generalization167-172 [doi]
- Systolic array implementations of neural nets on the MasPar MP-1 massively parallel processor169-173 [doi]
- Some experiments on learning stable network oscillations169-174 [doi]
- Learning algorithms for auto-associators with full storage capacity173-178 [doi]
- Operational experience with a neural network in the detection of explosives in checked airline luggage175-178 [doi]
- Oscillating networks: modeling the pyloric circuit of the stomatogastric ganglion175-180 [doi]
- The harmonium and decision problems179-183 [doi]
- Connectionist nonlinear over-relaxation179-184 [doi]
- Analogies of brain function in neural network models181-182 [doi]
- A dynamical neural network model of sensorimotor transformations in the leech183-188 [doi]
- A PC-based neural network for recognition of difficult syllables using LPC coefficient difference185-190 [doi]
- A new error criterion for posterior probability estimation with neural nets185-192 [doi]
- Hexapod gait control by a neural network189-194 [doi]
- Phoneme recognition with a time-delay neural network191-195 [doi]
- A higher order unit that performs arbitrary Boolean functions193-197 [doi]
- Effect of neural network input span on phoneme classification195-200 [doi]
- Multi-fault diagnosis of electronic circuit boards using neural networks197-202 [doi]
- Logistic regression and the Boltzmann machine199-204 [doi]
- Application of temporal supervised learning algorithm to generation of natural language201-207 [doi]
- A low cost pattern classifier based on coding techniques203-208 [doi]
- Binary backpropagation in content addressable memory205-210 [doi]
- A method for noise filtering with feed-forward neural networks: Analysis and comparison with low-pass and optimal filtering209-214 [doi]
- An approximation of nonlinear discriminant analysis by multilayer neural networks211-216 [doi]
- Stochastic competitive learning215-226 [doi]
- Stock price pattern recognition-a recurrent neural network approach215-221 [doi]
- Learning in a recognition network: a synthesis of model-based and data-driven approaches217-224 [doi]
- Combining linear equalization and self-organizing adaptation in dynamic discrete-signal detection223-228 [doi]
- Classification of large set of handwritten characters using modified back propagation model225-232 [doi]
- A drive-reinforcement neural network model of simple instrumental conditioning227-232 [doi]
- Representation of material behavior: neural network-based models229-234 [doi]
- Fast adaptive k-means clustering: some empirical results233-238 [doi]
- Learning in asymptotically behaving neural networks233-238 [doi]
- A neural network approach to first break picking235-240 [doi]
- Scaling of back-propagation training time to large dimensions239-244 [doi]
- Dynamics of feedback neural nets with unsupervised learning239-244 [doi]
- A multi-layer neural network classifier for radar clutter241-246 [doi]
- Conditions for the convergence of one-layer networks under reinforcement learning245-252 [doi]
- The piecewise linear neural network: training and recognition245-250 [doi]
- Modeling human performance with neural networks247-252 [doi]
- The effects of distortion measures and feature sets on neural network classifiers251-256 [doi]
- An on-line algorithm for dynamic reinforcement learning and planning in reactive environments253-258 [doi]
- Maximum likelihood estimation for direction of arrival using a nonlinear optimising neural network253-258 [doi]
- A fast learning technique for the multilayer perceptron257-262 [doi]
- Combining heuristics for optimizing a neural net solution to the traveling salesman problem259-264 [doi]
- Cross-coupled Hopfield nets via generalized-delta-rule-based internetworks259-265 [doi]
- A feedback neural network with supervised learning263-268 [doi]
- Hierarchically structured neural networks for printed Hangul character recognition265-270 [doi]
- Pulse stream neural networks and reinforcement learning267-272 [doi]
- Resource constrained design of artificial neural networks269-279 [doi]
- Power system state evaluation by structured neural network271-277 [doi]
- Single layer potential function neural network for unsupervised learning273-278 [doi]
- Time-table scheduling using neural network algorithms279-284 [doi]
- Self-organizing hierarchical feature maps279-284 [doi]
- High order neural networks with reduced numbers of interconnection weights281-286 [doi]
- Competitive learning using competitive activation rules285-291 [doi]
- Condela-3: A language for neural networks285-290 [doi]
- Linear discriminants, logic functions, backpropagation, and improved convergence287-292 [doi]
- Implementation of minimum error expert system291-296 [doi]
- A general architecture for classical conditioning of perceptual-motor sequences293-298 [doi]
- Learning an archetype of a symmetry class293-298 [doi]
- A neural implementation of conceptual hierarchies with Bayesian reasoning297-303 [doi]
- Multiple descent cost competitive learning: batch and successive self-organization with excitatory and inhibitory connections299-306 [doi]
- Memorizing hierarchical temporal patterns in analog neuron networks299-304 [doi]
- A novel, geometric supervised learning scheme using linear programming approach305-308 [doi]
- An examination of the application of multi-layer neural networks to audio signal processing305-310 [doi]
- Self-organization by delta rule307-312 [doi]
- Self-adaptive neural architectures for control applications309-314 [doi]
- Velotopic maps in well-log inversion311-316 [doi]
- SONNET: a self-organizing neural network that classifies multiple patterns simultaneously313-318 [doi]
- A network with pulse processing neurons for generation of arbitrary temporal sequences315-320 [doi]
- Integrated approach using neural networks for fault detection and diagnosis317-326 [doi]
- Self-organization properties of a discriminator-based neural network319-324 [doi]
- Quasi-local solution for inverse kinematics of a redundant robot arm321-326 [doi]
- Self-organizing neural network character recognition on a massively parallel computer325-329 [doi]
- A knowledge based neural network approach for waste water treatment system327-332 [doi]
- Robot kinematic control based on bidirectional mapping neural network327-335 [doi]
- Time-delayed self-organizing maps331-336 [doi]
- Teaching neural networks to guide a vehicle through an obstacle course by emulating a human teacher333-337 [doi]
- Learning filter systems337-342 [doi]
- Application of neural networks on robot grippers337-342 [doi]
- A comparison of image compression by neural networks and principal component analysis339-344 [doi]
- Unsupervised clustering based on a competitive cost function343-348 [doi]
- A neural network interface to the DIGITS Grasping System343-348 [doi]
- Neural network applications in synthetic organic chemistry. I. A hybrid system which performs retrosynthetic analysis345-350 [doi]
- TRELIS: an optimal unsupervised local training rule349-354 [doi]
- Comparison of fuzzy and neural truck backer-upper control systems349-358 [doi]
- Some performance results for a connection machine implementation of the boundary contour system351-358 [doi]
- Addressing scaling and plasticity problems with a biologically motivated self-organizing network355-360 [doi]
- Synergy of artificial neural networks and knowledge-based expert systems for intelligent FMS scheduling359-366 [doi]
- A self-organizing controller for dynamic processes using neural networks359-364 [doi]
- A neural network approach to prediction of psychological performance in frequency discrimination361-366 [doi]
- Fuzzy control using neural network techniques365-370 [doi]
- Circular inhibition: a new concept in long-range interactions in the mammalian visual cortex367-372 [doi]
- Neural network classification of event related potentials for the design of a new computer interface367-372 [doi]
- A regulator design method using multi-layered neural networks371-379 [doi]
- R-P learning applied to a network model of cortical area 7a373-379 [doi]
- Signature verification with a syntactic neural net373-378 [doi]
- Synthesis of neural networks with linear programs379-383 [doi]
- Algorithm programmed by a neural network model for coordinate transformation381-386 [doi]
- Neural network adaptive controllers381-386 [doi]
- Testability of the arbitrage pricing theory by neural network385-393 [doi]
- Coherency detection and response segregation by synchronizing and desynchronizing delay connections in a neuronal oscillator model387-395 [doi]
- A neuromorphic cascaded context sensitive controller for robot manipulator387-392 [doi]
- Neural network architectures for the forward kinematics problem in robotics393-399 [doi]
- Modified neocognitron with position normalizing preprocessor for translation invariant shape recognition395-400 [doi]
- Synchronization in distributed neural systems397-402 [doi]
- Methuselah networks and optimal control401-406 [doi]
- Neurocomputation of image motion401-406 [doi]
- Chaotic dynamics of time-delay neural networks403-409 [doi]
- Neural network based controllers for a single-degree-of-freedom robotic arm407-413 [doi]
- An artificial neural network for motion detection and speed estimation407-421 [doi]
- Size and distortion invariant object recognition by hierarchical graph matching411-416 [doi]
- Delta rule-based neural networks for inverse kinematics: error gradient reconstruction replaces the teacher415-420 [doi]
- Neural mapping and space-variant image processing417-422 [doi]
- Unsupervising adaption neural-network control421-428 [doi]
- Adaptive clustering neural net for piecewise nonlinear discriminant surfaces423-428 [doi]
- A neural network model for the formation of topographic maps in the CNS: development of receptive fields423-429 [doi]
- Neural networks for process identification429-434 [doi]
- Multispectral magnetic resonance image segmentation using neural networks429-434 [doi]
- Modeling of oscillatory activity of neuron assemblies of the visual cortex431-434 [doi]
- Application of the boundary contour/feature contour system to magnetic resonance brain scan imagery435-440 [doi]
- A new adaptive control algorithm based on signal characterization435-446 [doi]
- Generalization of neural networks to the complex plane435-440 [doi]
- Towards unsupervised data-flow analysis: neural models for clustering and factor analysis of large sets of highly multidimensional objects441-446 [doi]
- Orthogonal learning network for constrained principal component problem441-449 [doi]
- Calculating the information content of a temporally modulated spike train447-452 [doi]
- Neural network application for robotic motion control-adaptation and learning447-451 [doi]
- An initial performance evaluation of unsupervised learning with ALIAS451-465 [doi]
- Analysis of real neuronal circuits in the vertebrate central nervous system453-458 [doi]
- The 'detailed balance' net: a stable asymmetric artificial neural system for unsupervised learning453-459 [doi]
- Verification of continuity, using temporal code459-464 [doi]
- Remarks on the stability of asymmetric dynamical neural networks461-467 [doi]
- A random walk in Hamming space465-470 [doi]
- A neural network based matrix inversion algorithm467-470 [doi]
- Hairy neuron convergence theorems without the precision of timing469-476 [doi]
- Thermal comfort sensor based on probabilistic energy neural network471-476 [doi]
- Pattern classification using self-organizing feature maps471-480 [doi]
- Learning in competitively inhibited neural nets477-482 [doi]
- Mechanisms of pattern discrimination in the toad's visual system477-482 [doi]
- LVQ of image sequence source and ANS classification of finite state machine for high compression coding481-486 [doi]
- Maximally fault-tolerant neural networks and nonlinear programming483-496 [doi]
- Dynamics of lateral interaction networks483-486 [doi]
- General layered neural network for stereo disparity detection487-490 [doi]
- Dynamical self-organization and formation of cortical maps487-492 [doi]
- A texture classifier based on neural network principles491-496 [doi]
- A learning rule for CAM storage of continuous periodic sequences493-498 [doi]
- Tactile feature extraction and classification with connectionist models497-502 [doi]
- Local correlations as a translationally invariant feature space for target detection497-502 [doi]
- Solving the tag assignment problem for neural networks with simulated assemblies of minicolumns499-504 [doi]
- Low-level image processing and edge enhancement using a self-organizing neural network503-510 [doi]
- A physiologically motivated front-end for speech recognition503-508 [doi]
- A dynamic approach to invariant extraction from time-varying inputs by using chaos in neural nets505-510 [doi]
- Functional interpretations of neocortical modules509-514 [doi]
- Massively parallel image restoration511-516 [doi]
- Genetic programming: building nanobrains with genetically programmed neural network modules511-516 [doi]
- Reconstruction of Munsell color space by a five-layered neural network515-520 [doi]
- Neural network discrimination of subtle image patterns517-524 [doi]
- Improved neural networks for analog to digital conversion517-522 [doi]
- Depth interpolation from surface boundary perceived with binocular viewing521-526 [doi]
- An analysis of the flows of neural networks with linear interconnections523-528 [doi]
- Analysis of large multi-dimensional data with a backpropagation neural network525-530 [doi]
- Design, fabrication and evaluation of a 5-inch wafer scale neural network LSI composed on 576 digital neurons527-535 [doi]
- Continuous analogs to discrete dynamical systems with application to modeling biological response529-534 [doi]
- A data compression system using neural network based architecture531-536 [doi]
- On the computational power of neural networks and neural automata535-540 [doi]
- A VLSI architecture for high-performance, low-cost, on-chip learning537-544 [doi]
- A spatial summation model for image processing by artificial neural networks537-543 [doi]
- Dynamical properties of neural nets using competitive activation mechanisms541-546 [doi]
- Improved versions of learning vector quantization545-550 [doi]
- A digital neural network architecture for VLSI545-550 [doi]
- An algebraic proof for backpropagation in acyclic neural networks547-551 [doi]
- A CCD based neural network integrated circuit with 64K analog programmable synapses551-555 [doi]
- Improved generalization in ANNs via use of conceptual graphs: a character recognition task as an example case551-556 [doi]
- Fixed-weight networks can learn553-559 [doi]
- Silicon compiler for neuro-ASICs557-561 [doi]
- A modular architecture for efficient learning557-562 [doi]
- Recurrent networks for learning stochastic sequences561-566 [doi]
- Supervised and reinforced competitive learning563-567 [doi]
- The Lockheed programmable analog neural network processor563-568 [doi]
- Requirements for the synthesis of Boolean neural networks567-572 [doi]
- Information theory principles for the design of self-organizing maps in combination with hidden Markov modeling for continuous speech recognition569-574 [doi]
- Pulse-processing neural net hardware with selectable topology and adaptive weights and delays569-574 [doi]
- Brownian motion theory as a physical foundation for feedback neural networks573-576 [doi]
- VLSI image processor using analog programmable synapses and neurons575-580 [doi]
- Temporal backpropagation for FIR neural networks575-580 [doi]
- A global state driven cooling schema for simulated annealing used with Boltzman machine577-581 [doi]
- An enhanced parallel planar lattice architecture for large scale neural network simulations581-586 [doi]
- APOLONN brings us to the real world: learning nonlinear dynamics and fluctuations in nature581-587 [doi]
- Computer networking topological and parametric representations for functional neural networks583-591 [doi]
- A digital multilayer neural network with limited binary expressions587-592 [doi]
- Nonlinear prediction with self-organizing maps589-594 [doi]
- A discrete-time neural network model for systems identification593-598 [doi]
- The VLSI implementation of STONN593-598 [doi]
- Back-propagation heuristics: a study of the extended delta-bar-delta algorithm595-600 [doi]
- Response learning599-604 [doi]
- Convergence properties of a pulsed neural network599-609 [doi]
- Evolutionary programming for training neural networks601-605 [doi]
- Function approximation with an orthogonal basis net605-619 [doi]
- A stochastic training technique for feed-forward neural networks607-612 [doi]
- A parallel neural network simulator611-616 [doi]
- Backpropagation in neural networks with fuzzy conjunction units613-618 [doi]
- A fuzzy cognitive system: examination of a referential neural architecture617-622 [doi]
- The recticular formation as a multi-valued logic neural network619-624 [doi]
- Regularity properties in pulse transmission networks621-626 [doi]
- Multi-layer perceptrons with discrete weights623-630 [doi]
- Novel backpropagation algorithm for reduction of hidden units and acceleration of convergence using artificial selection625-630 [doi]
- Decoding of firing intervals in a temporal-coded spike train using a topographically mapped neural network627-632 [doi]
- Effects of weight discretization on the back propagation learning method: algorithm design and hardware realization631-637 [doi]
- Parallel implementation of a recursive least squares neural network training method on the Intel iPSC/2631-636 [doi]
- An annealing approach to associative recall in the CBM model633-638 [doi]
- Neural units recruitment algorithm for generation of decision trees637-642 [doi]
- Fault tolerant neural networks with hybrid redundancy639-649 [doi]
- Information in a dynamic theory of behavioral patterns639-644 [doi]
- Backpropagation representation theorem using power series643-648 [doi]
- A self-organizing scale-sensitive neural network649-654 [doi]
- Function approximation and time series prediction with neural networks649-665 [doi]
- Organization of oscillatory motor pattern generation networks in the mammalian central nervous system651-656 [doi]
- Multineuron recordings and the analysis of state dependent network configurations in respiratory neuron assemblies657-661 [doi]
- A cognitive model coming up to epistemological claims: constructivist aspects to modeling cognition657-662 [doi]
- An associative memory model of language663-670 [doi]
- Reconstructing computational principles in a vertebrate adaptive reflex system663-668 [doi]
- Sigma-pi implementation of a nearest neighbor classifier667-672 [doi]
- Intrinsic capabilities of neural networks in the turtle spinal cord: selection and generation of motor patterns669-674 [doi]
- Phoneme-based word recognition by neural network-a step toward large vocabulary recognition671-676 [doi]
- Relative effectiveness of training set patterns for backpropagation673-678 [doi]
- Neural networks controlling wrist movements675-679 [doi]
- Recognition of Danish phonemes using an artificial neural network677-682 [doi]
- The learning rate in back-propagation systems: an application of Newton's method679-684 [doi]
- Motor cortical activity during sinusoidal tracing681-686 [doi]
- An attractor neural network model of semantic fact retrieval683-688 [doi]
- A neural network for optimum Neyman-Pearson classification685-690 [doi]
- Cerebral cortical neuronal mechanisms of reaching movements687-692 [doi]
- A study on artificial neural network generalization capability689-694 [doi]
- Estimating a posteriori probability with P-type nodes691-696 [doi]
- A neural network that learns to integrate oculomotor signals693-697 [doi]
- Position independent neuro pattern matching and its application to handwritten numerical character recognition695-701 [doi]
- An optimized backpropagation with minimum norm weights697-702 [doi]
- Modeling the three neuron vestibulo-ocular reflex arc: contribution to eye movement computation699-704 [doi]
- Fault tolerance in artificial neural networks703-708 [doi]
- Principles and applications of the cortical column symbolic neural model703-708 [doi]
- Cerebellar control of endpoint position-a simulation model705-710 [doi]
- Dissolving variables in connectionist combinatory logic709-714 [doi]
- A proposal for indicating quality of generalization when evaluating ANNs709-713 [doi]
- Parallel processing within motor areas of cerebral cortex and basal ganglia in the monkey711-716 [doi]
- Adaptive behavior in sub-neural microtubule automata715-720 [doi]
- A fast algorithm for finding global minima of error functions in layered neural networks715-720 [doi]
- Toward a model of the hippocampus717-722 [doi]
- Supervised learning techniques for backpropagation networks721-728 [doi]
- Effect of long-term potentiation on the behavior of neural networks721-726 [doi]
- A neural system for behavioral conditioning of mobile robots723-728 [doi]
- A simulation of somatosensory cortical map plasticity727-732 [doi]
- An active vision system for navigation in a natural environment729-734 [doi]
- Recurrent neural networks, hidden Markov models and stochastic grammars729-734 [doi]
- Adaptive input field neural network-that can recognize rotated and/or shifted character733-738 [doi]
- Quadratic Hadamard memories735-740 [doi]
- Experiments with a neural controller735-740 [doi]
- Interactions among embedded extensive networks under uncertainty739-745 [doi]
- The reactive touch model: determining which way to move to avoid touching741-746 [doi]
- Bidirectional associative memory with several patterns741-750 [doi]
- Hierarchical neural net for learning control of a robot's arm and gripper747-752 [doi]
- Using genetic algorithms to select and create features for pattern classification747-752 [doi]
- Ho-Kashyap content-addressable associative processors751-756 [doi]
- Trajectory analysis in human epileptiform discharges of temporal lobe origin753-758 [doi]
- Percognitron: Neocognitron coupled with perceptron753-758 [doi]
- Systematic design of associative memory networks: equilibrium confinement, exponential stability and gradient descent learning757-762 [doi]
- Stability of linear programming neural network for problems with hypercube feasible region759-764 [doi]
- Networks modeling the involvement of the frontal lobes in learning and performance of flexible movement sequences759-764 [doi]
- Autoassociative neural memory capacity and dynamics763-769 [doi]
- On the neural network of a synthetic cerebellum to control fast movements of an arm765-770 [doi]
- Creative dynamics approach to optimization problems765-773 [doi]
- Adaptive control of prosthetic limbs using neural networks771-776 [doi]
- ASDM-a novel neural network model based on sparse distributed memory771-776 [doi]
- The definition of necessary hidden units in neural networks for combinatorial optimization775-780 [doi]
- Learning the motion map of a robot arm with neural networks777-782 [doi]
- Fully distributed diagnosis by PDP learning algorithm: towards immune network PDP model777-782 [doi]
- Multiscale optimization in neural nets: preliminary report781-786 [doi]
- A pseudo-inverse neural net with storage capacity exceeding N783-788 [doi]
- Command of visually guided 3D arm movements by the cerebral cortex783-788 [doi]
- Ineffectiveness in solving combinatorial optimization problems using a Hopfield network: a new perspective from aliasing effect787-792 [doi]
- Character recognition using a dynamic opto-electronic neural network with unipolar binary weights789-794 [doi]
- Error propagation in fractal neural networks789-793 [doi]
- A two step sorting algorithm793-798 [doi]
- Inner-product implementations of optical associative memories795-801 [doi]
- GaAs/AlGaAs based multiquantum well device for learning and decision making in optical neuro-computers795-802 [doi]
- An elastic net solution to obstacle avoidance tour planning799-804 [doi]
- Optical implementation of neural networks with wavelength-encoded bipolar weight using bacteriorhodopsin803-807 [doi]
- Analysis of classification performance for Hopfield network with predefined correlated exemplar patterns803-808 [doi]
- A neural network least-square estimator805-810 [doi]
- A connectionist model of associative storage and recall of 3D objects809-814 [doi]
- Molecular electronics and neural network functions809-812 [doi]
- Locally interconnected layered neural network for path optimization811-817 [doi]
- A biologically motivated algorithm for image interpretation based on multi-pass multi-resolution techniques813-818 [doi]
- A bi-directional associative memory used in a pattern recognition system815-820 [doi]
- Competitive self-organization and combinatorial optimization: applications to traveling salesman problem819-824 [doi]
- A self-organizing system for object analysis and identification819-824 [doi]
- On the state transition graph of Hopfield net model821-826 [doi]
- Sigma-pi implementation of a Gaussian classifier825-830 [doi]
- A two-dimensional shift invariant image classification neural network which overcomes the stability/plasticity dilemma825-833 [doi]
- Maximum capacity topologies for fully connected layered neural networks with bidirectional connections827-831 [doi]
- LSI module placement methods using neural computation networks831-836 [doi]
- Figures of merit for the performance of Hebbian-type associative memories833-838 [doi]
- A connectionist approach to multiple-view based 3-D object recognition835-844 [doi]
- Competitive learning's global search property837-842 [doi]
- Use of true-complement optical images for efficient associative memory implementation839-846 [doi]
- A neural algorithm to solve the Hamiltonian cycle problem843-849 [doi]
- Invariant object recognition based on a neural network of cascaded RCE nets845-854 [doi]
- Reliability measures for Hebbian-type associative memories with faulty interconnections847-852 [doi]
- Discrete Hopfield model with graded response (analysis and applications)851-856 [doi]
- Basins of attraction revisited853-858 [doi]
- Hardware requirements for neural-net optical character recognition855-861 [doi]
- Automatic translation of constraints for solving optimization problems by neural networks857-861 [doi]
- Integers neural network systems (INNS) using resonance properties of a Fibonacci's chaotic 'golden neuron'859-865 [doi]
- Encoding logical constraints into neural network cost functions863-868 [doi]
- Multisensor fusion classification with a multilayer perceptron863-868 [doi]
- An analysis of the convergence time of Hamming memory networks867-872 [doi]
- Motion estimation based on point correspondence using neural network869-874 [doi]
- Convergence of the Hopfield neural networks with inequality constraints869-874 [doi]
- Handwritten pattern recognition with a binary associative memory873-878 [doi]
- A network for motion perception875-884 [doi]
- The case for abandoning the biological resemblance restriction: an example of neural network solution of simultaneous equations875-882 [doi]
- A method for generating digital signals in response to novel inputs879-884 [doi]
- Linear programming and associative memory matrices883-888 [doi]
- Multiresolution stereo by simulated annealing885-890 [doi]
- A novel generalized flip-flop for memory association and maximization in artificial neural network885-892 [doi]
- Scaling neural network for job-shop scheduling889-894 [doi]
- Rotational invariant formulation for line process891-896 [doi]
- A neural network based multi-associative memory model893-898 [doi]
- A self-adaptive connectionist shortest-path algorithm utilizing relaxation methods895-901 [doi]
- A modular hierarchical neural network for machine vision897-902 [doi]
- A self-organizing neural network for locus-addressable associative memory899-904 [doi]
- Neural network number systems903-907 [doi]
- Discriminant operators: emulation of visual receptive fields for the extraction of transitions in signals and images903-909 [doi]
- An optimal matching-score net for pattern classification909-916 [doi]
- A selective attention neural network for object recognition911-916 [doi]
- A discrete stochastic neural network algorithm for constraint satisfaction problems917-924 [doi]
- A neural network approach for Chinese character recognition917-923 [doi]
- Genetic design of processing elements for path planning networks925-932 [doi]
- Direction-selective mechanisms for vision: analytical models925-930 [doi]
- ART-1 neural network for reducing search space in 3-D object recognition using multiple views931-936 [doi]
- Optimization techniques applied to neural networks: Line search implementation for back propagation933-939 [doi]
- Vision, analog networks, and the minimum norm constraint937-939 [doi]
- A neural architecture for visual recognition of general stationary objects by machines937-942 [doi]
- Feasible directions linear programming by neural networks941-946 [doi]
- A study of a divided learning method943-947 [doi]
- Fast parallel simulated annealing for traveling salesman problem947-953 [doi]
- A retinomorphic VLSI smart sensor for invariant geometric object recognition949-954 [doi]
- Solving inversion problems with neural networks955-960 [doi]
- A constraint neural network for Huffman-Clowes scene labeling955-963 [doi]
- A neural network for solving the travelling salesman problem on the basis of city adjacency in the tour961-964 [doi]
- Optimisation of network structure using genetic techniques965-970 [doi]
- Medical image segmentation with MARA965-972 [doi]