Abstract is missing.
- Why neural networks don't yet fly: inquiry into the neurodynamics of biological intelligenceWalter J. Freeman. 1-7 [doi]
- Asynchronous dynamics of random Boolean networksCraig Gotsman, Eli Shamir 0001, Daniel Lehmann. 1-7 [doi]
- Race networks: a theory of competitive recognition networks based on the rate of reactivation of neurons in cortical columnsJames N. Templeman. 9-16 [doi]
- Bifurcation theory methods for programming static or periodic attractors and their bifurcations in dynamic neural networksBill Baird. 9-16 [doi]
- Neuron layer with reciprocal inhibition as a mechanism of random choiceVictor Eliashberg. 17-25 [doi]
- DETE: connectionist/symbolic model of visual and verbal associationValeriy I. Nenov, Michael G. Dyer. 17-24 [doi]
- A neural network for pattern generation in the scratch reflexReza Shadmehr, Gary D. Lindquist. 25-32 [doi]
- Stability theorem for lateral inhibition networks that is robust in the presence of circuit parasiticsDavid L. Standley, John L. Wyatt Jr.. 27-36 [doi]
- Temporal structure in neural networks with impulse train connectionsJudith E. Dayhoff. 33-45 [doi]
- Dynamical properties of threshold automata with nearest-neighbor interactions on a regular latticeK. E. Kürten. 37-43 [doi]
- An investigation on local minima of a Hopfield network for optimization circuitsBang W. Lee, Bing J. Sheu. 45-51 [doi]
- The toad optic tectum as a recurrent on-center off-surround neural net with quenching thresholdBill Betts. 47-54 [doi]
- Recurrent nets for the storage of cyclic sequencesLuzian Wolf. 53-60 [doi]
- Bit-vector optimization algorithms for control of learning in neurons with second-messenger dynamicsKevin G. Kirby, Michael Conrad. 55-62 [doi]
- Statistical pattern recognition with neural networks: benchmarking studiesTeuvo Kohonen, György Barna, Ronald L. Chrisley. 61-68 [doi]
- Neural network models and their application to handwritten digit recognitionThaddeus F. Pawlicki, Dar-Shyang Lee, Jonathan J. Hull, Sargur N. Srihari. 63-70 [doi]
- An improved elastic net method for the traveling salesman problemDavid J. Burr. 69-76 [doi]
- Computation of optical flow using a neural networkYi-Tong Zhou, Rama Chellappa. 71-78 [doi]
- A neural controller for collision-free movement of general robot manipulatorsDaryl H. Graf, Wilf R. LaLonde. 77-84 [doi]
- A model of motion computation in primatesH. Taichi Wang, Bimal Mathur, Christof Koch. 79-86 [doi]
- Solution of the traveling salesman problem with an adaptive ringGeoffrey J. Hueter. 85-92 [doi]
- Physiological engineering model of the retinal horizontal cell layerShiro Usui, Yoshimi Kamiyama, Manabu Sakakibara. 87-94 [doi]
- Self-organising multilayer topographic mappingsStephen P. Luttrell. 93-100 [doi]
- A multilayer cooperative/competitive method for creating hierarchical structures by clustering maximally-related nodesA. J. Maren, V. Minsky, M. Ali. 95-105 [doi]
- Vector quantization of images based upon the Kohonen self-organizing feature mapsNasser M. Nasrabadi, Yushu Feng. 101-108 [doi]
- An application of neural net chips: handwritten digit recognitionLawrence D. Jackel, Hans Peter Graf, Wayne E. Hubbard, John S. Denker, Don Henderson, Isabelle Guyon. 107-115 [doi]
- Kohonen's self-organizing maps: exploring their computational capabilitiesHelge J. Ritter, Klaus Schulten. 109-116 [doi]
- Feature extraction in the NeocognitronKen Johnson, Cindy Daniell, Jerry Burman. 117-126 [doi]
- Adding a conscience to competitive learningDuane DeSieno. 117-124 [doi]
- Invariant pattern recognition by means of fast synaptic plasticityJoachim Buhmann, Klaus Schulten. 125-132 [doi]
- Psychologically plausible features for shape recognition in a neural networkGanapathy Krishnan, Deborah Walters. 127-134 [doi]
- Conceptual graph knowledge systems as problem context for neural networksGeorge G. Lendaris. 133-140 [doi]
- Recognizing image invariants in a neural network architectureTed Pawlicki. 135-142 [doi]
- Feedback stability and unsupervised learningBart Kosko. 141-152 [doi]
- Neural network simulation at Warp speed: how we got 17 million connections per secondDean A. Pomerleau, George L. Gusciora, David S. Touretzky, H. T. Kung. 143-150 [doi]
- A limited-interconnect synthetic neural ICLex A. Akers, Mark R. Walker. 151-158 [doi]
- High-capacity exponential associative memoriesTzi-Dar Chiueh, Rodney M. Goodman. 153-160 [doi]
- The creation of Delta: a new concept in ANS processingGeorge A. Works. 159-164 [doi]
- Multilayer feedforward potential function networkSukhan Lee 0001, Rhee Man Kil. 161-171 [doi]
- Parallel architectures for artificial neural netsSun-Yuan Kung, Jenq-Neng Hwang. 165-172 [doi]
- A formulation for the design of neural processorsFathi M. A. Salam. 173-180 [doi]
- Why VLSI implementations of associative VLCNs require connection multiplexingJim Bailey, Dan Hammerstrom. 173-180 [doi]
- A BAM with increased information storage capacityKaren Haines, Robert Hecht-Nielsen. 181-190 [doi]
- Nonstandard A/D conversion based on symmetric neural networksDimitris Anastassiou. 181-188 [doi]
- Decrementing associative networksVernon G. Dobson. 189-196 [doi]
- A content-addressing software method for the elimination of neural networksOlli Ventä, Teuvo Kohonen. 191-198 [doi]
- Exploration of learning in an associative magnetic processorJames M. Goodwin, Bruce E. Rosen, Jacques J. Vidal. 197-204 [doi]
- A decentralized tunable short term neural network memory and application to trackingRobert J. T. Morris, Larry D. Rubin, Wing Shing Wong. 199-206 [doi]
- Abilities and limitations of a neural network model for spoken work recognitionShuichi Kurogi. 205-214 [doi]
- Memory capacity of artificial neural networks with high order node connectionsChan S. Bak, Michael J. Little. 207-216 [doi]
- Learning to understand sentences in a connectionist networkStefano Nolfi, Domenico Parisi. 215-219 [doi]
- Pattern recognition and associative memory as dynamical processes in nonlinear systemsArmin Fuchs, Hermann Haken. 217-224 [doi]
- HIERtalker: a default hierarchy of high order neural networks that learns to read English aloudZ. G. An, Susan M. Mniszewski, Y. C. Lee, G. J. Papcun, Gary D. Doolen. 221-228 [doi]
- Neural network model using a normalized inner product as a measure of similarityBohdan Macukow, Henri H. Arsenault. 225-230 [doi]
- Creation by refinement: a creativity paradigm for gradient descent learning networksJ. P. Lewis. 229-233 [doi]
- A logical architecture for cognitive mapsWen-Ran Zhang, Su-Shing Chen. 231-238 [doi]
- Adaptive networks as a model for human speech developmentManoel Fernando Tenorio, M. Daniel Tom, Richard G. Schwartz. 235-242 [doi]
- Training methods for a connectionist model of consonant-vowel syllable recognitionM. L. Rossen, L. T. Niles, Gary Tajchman, Marcia A. Bush, J. A. Anderson. 239-246 [doi]
- Localizing sound source by incorporating biological auditory mechanismNoboru Sugie, Jie Huang, Noboru Ohnishi. 243-250 [doi]
- Training of a neural network for pattern classification based on an entropy measureCris Koutsougeras, Christos A. Papachristou. 247-254 [doi]
- Improvement on speech recognition and synthesis for disabled individuals using fuzzy neural net retrofitsJane Y. Murdock, Abdo A. Husseiny, Enju Liang, Sam A. Abolrous, Rodrigo J. Rodriguez. 251-258 [doi]
- Medical diagnostic expert system based on PDP modelKazumi Saito, Ryohei Nakano. 255-262 [doi]
- Fast TSP algorithm based on binary neuron output and analog neuron input using the zero-diagonal interconnect matrix and necessary and sufficient constraints of the permutation matrixHarold Szu. 259-266 [doi]
- On the use of backpropagation in associative reinforcement learningRonald J. Williams. 263-270 [doi]
- A comparison study of optimization methods for the bipartite matching problem (BMP)M. Goldstein, N. Toomarian, J. Barhen. 267-273 [doi]
- Learning internal representations in the Coulomb energy networkChristopher L. Scofield. 271-276 [doi]
- Stochastic neural networks for solving job-shop scheduling. I. Problem representationYoon-Pin Simon Foo, Yoshiyasu Takefuji. 275-282 [doi]
- The subspace learning algorithm as a formalism for pattern recognition and neural networksErkki Oja, Teuvo Kohonen. 277-284 [doi]
- Stochastic neural networks for solving job-shop scheduling. II. architecture and simulationsYoon-Pin Simon Foo, Yoshiyasu Takefuji. 283-290 [doi]
- Forming global representations with extended backpropagationRisto Miikkulainen, Michael G. Dyer. 285-292 [doi]
- Determination of parameters in a Hopfield/Tank computational networkShailesh U. Hegde, Jeffrey L. Swee, William B. Levy. 291-298 [doi]
- FuzzyProp: a symbolic superstrate for connectionist modelsGregg C. Oden. 293-300 [doi]
- A traveling salesman objective function that worksDavid E. van den Bout, Thomas K. Miller III. 299-303 [doi]
- Backpropagation topologies for sequence generationKaren Kukich. 301-308 [doi]
- An extension of the Hopfield-Tank model for solution of the multiple traveling salesmen problemE. Wacholder, J. Han, R. C. Mann. 305-324 [doi]
- When is the generalized delta rule a learning rule? a physical analogyJoseph C. Pemberton, Jacques J. Vidal. 309-315 [doi]
- A local interaction heuristic for adaptive networksPeter A. Sandon, Leonard Uhr. 317-324 [doi]
- Neural net pruning-why and howJocelyn Sietsma, Robert J. F. Dow. 325-333 [doi]
- Optimization by neural networksJ. Ramanujam, P. Sadayappan. 325-332 [doi]
- Alternative networks for solving the traveling salesman problem and the list-matching problemRobert D. Brandt, Yao Wang, Alan J. Laub, Sanjit K. Mitra. 333-340 [doi]
- Factors influencing learning by backpropagationA. Von Lehmen, Eung Gi Paek, P. F. Liao, A. Marrakchi, Jay S. Patel. 335-341 [doi]
- Integer linear programming neural networks for job-shop schedulingYoon-Pin Simon Foo, Yoshiyasu Takefuji. 341-348 [doi]
- Backpropagation: past and futurePaul J. Werbos. 343-353 [doi]
- A neural network for Euclidean distance minimizationAlexander Moopenn, A. P. Thakoor, Tuan Duong. 349-356 [doi]
- Learning of word stress in a sub-optimal second order back-propagation neural networkLucio Prina Ricotti, Susanna Ragazzini, Giuseppe Martinelli. 355-361 [doi]
- An optically programmed neural networkC. D. Kornfield, Robert C. Frye, Chee C. Wong, Edward A. Rietman. 357-364 [doi]
- An algebraic projection analysis for optimal hidden units size and learning rates in back-propagation learningSun-Yuan Kung, Jenq-Neng Hwang. 363-370 [doi]
- Bimodal stochastic optical learning machineN. H. Farhat, Z. Y. Shae. 365-372 [doi]
- The emergence of generalization in networks with constrained representationsDemetri Psaltis, Mark A. Neifeld. 371-381 [doi]
- A continuous-time optical neural networkH. M. Stoll, L. S. Lee. 373-384 [doi]
- Adaptive training of multilayer neural networks using a least squares estimation techniqueStefanos D. Kollias, Dimitris Anastassiou. 383-390 [doi]
- Programmable multilayer optical neural networks with asymmetric interconnection weightsYuri Owechko, Bernard H. Soffer. 385-393 [doi]
- Multilayer perceptrons and data analysisPatrick Gallinari, Sylvie Thiria, Françoise Fogelman. 391-399 [doi]
- Invariance and discrimination properties of the optical associative loopKen Hsu, Demetri Psaltis. 395-402 [doi]
- MADALINE RULE II: a training algorithm for neural networksRodney Winter, Bernard Widrow. 401-408 [doi]
- Implementation considerations of a subtracting incoherent optical neuronC. H. Wang, B. K. Jenkins. 403-410 [doi]
- A decentralized algorithm for learning in adaptable networksKiumi Akingbehin. 409-416 [doi]
- Implementation of neural networks using quantum well based excitonic devices-device requirement studiesJasprit Singh, Songcheol Hong, Pallab K. Bhattacharya, Rajeshwar Sahai. 411-419 [doi]
- Neural 'selective' processing and learningPatrice Gelband, Edison Tse. 417-424 [doi]
- Color analysis by learning subspaces and optical processingJussi Parkkinen, Erkki Oja, Timo Jääskeläinen. 421-427 [doi]
- A self-learning threshold-controlled neural networkAllan Hartstein, R. H. Koch. 425-430 [doi]
- Effects of clock skew in iterative neural network and optical feedback processorsSeho Oh, Les E. Atlas, Robert J. Marks II, Dong-Chul Park 0001. 429-435 [doi]
- An adaptive attentive learning algorithm for single-layer neural networksM. H. Hassoun, D. W. Clark. 431-440 [doi]
- The effect of stochastic interconnects in artificial neural network classificationRobert J. Marks II, Les E. Atlas, Dong C. Park 0001, Seho Oh. 437-442 [doi]
- Improving the learning rate of back-propagation with the gradient reuse algorithmDon R. Hush, John M. Salas. 441-447 [doi]
- Bond rating: a nonconservative application of neural networksSoumitra Dutta, Shashi Shekhar. 443-450 [doi]
- Faster learning through a probabilistic approximation algorithmJohn F. Kolen. 449-454 [doi]
- Economic prediction using neural networks: the case of IBM daily stock returnsHalbert White. 451-458 [doi]
- A new LMS-based algorithm for rapid adaptive classification in dynamic environments: theory and preliminary resultsDziem D. Nguyen, James S. J. Lee. 455-463 [doi]
- An application of a multiple neural network learning system to emulation of mortgage underwriting judgementsEdward Collins, Sushmito Ghosh, Christopher Scofield. 459-466 [doi]
- Fast learning in artificial neural systems: multilayer perceptron training using optimal estimationJ. F. Shepanski. 465-472 [doi]
- Application of neural networks to classification of binary profiles derived from individual interviewsAlvin J. Surkan. 467-472 [doi]
- Back and counter propagation aberrationsDonald Woods. 473-479 [doi]
- Neural networks in defense applicationsPatrick F. Castelaz. 473-480 [doi]
- A stochastic architecture for neural netsDavid E. van den Bout, Thomas K. Miller III. 481-488 [doi]
- A multilayer perceptron network for the diagnosis of low back painDavid G. Bounds, Paul J. Lloyd, Bruce G. Mathew, Gordon Waddell. 481-489 [doi]
- Parallel sequential induction networks: a new paradigm of neural network architectureG. Z. Sun, H. H. Chen, Y. C. Lee. 489-496 [doi]
- Inverse Viterbi algorithm as learning procedure and application to optimization in the string instrument fingering problemSamir I. Sayegh, Manoel Fernando Tenorio. 491-497 [doi]
- A feature projection based adaptive pattern recognition networkJames S. J. Lee, James C. Bezdek. 497-505 [doi]
- An artificial neural minimum-variance estimatorXiaofeng Zhao, Jerry M. Mendel. 499-506 [doi]
- HNETTER-a heuristically driven neural reasoning systemDmitry Kaplan, David L. Johnson 0003. 507-514 [doi]
- Characteristics of the functional link net: a higher order delta rule netMyungsook Klassen, Yoh-Han Pao, Victor Chen. 507-513 [doi]
- Connectionist plan reminding in a hybrid planning modelJayaraman Veezhinathan, Bruce H. McCormick. 515-523 [doi]
- A symbolic-neural method for solving control problemsSteven C. Suddarth, Stewart A. Sutton, Alistair D. C. Holden. 516-523 [doi]
- Probabilistic neural networks for classification, mapping, or associative memoryDonald F. Specht. 525-532 [doi]
- Towards connectionist rule-based systemsTariq Samad. 525-532 [doi]
- MOSAIC: a macroconnectionist organization system for artificial intelligence computationK. M. Pham, Patrice Degoulet. 533-540 [doi]
- Specification and implementation environment for neural networks using communicating sequential processesPasi Koikkalainen, Erkki Oja. 533 [doi]
- Unconstrained minimum mean-square error parameter estimation with Hopfield networksRichard A. Altes. 541-548 [doi]
- Optical neural networks for image analysis: imaging spectroscopy and production systemsElizabeth C. Botha, Etienne Barnard, David Casasent. 541-546 [doi]
- Relaxation neural network for nonorthogonal image transformsJohn G. Daugman. 547-560 [doi]
- Fuzzy cognitive maps, signal flow graphs, and qualitative circuit analysisM. A. Styblinski, B. D. Meyer. 549-556 [doi]
- What the robot's hand should tell the robot's brain: feature detection in a biological neural networkEsther P. Gardner. 557-565 [doi]
- Preprocessing of biomedical images for neurocomputer analysisDwight D. Egbert, Edward E. Rhodes, Philip H. Goodman. 561-568 [doi]
- Building a generic architecture for robot hand controlHuan Liu, Thea Iberall, George A. Bekey. 567-574 [doi]
- An optical Fourier/electronic neurocomputer automated inspection systemDavid E. Glover. 569-576 [doi]
- Neural computation for controlling the configuration of 2-dimensional truss structureKazuyoshi Tsutsumi, Koichi Katayama, Haruya Matsumoto. 575-586 [doi]
- Integration of stereo vision and optical flow using Markov random fieldsSandra P. Clifford, Nasser M. Nasrabadi. 577-584 [doi]
- An adaptive neural net approach to the segmentation of mixed gray-level and binary picturesThierry Troudet, Ali Tabatabai. 585-592 [doi]
- A learning architecture for control based on back-propagation neural networksRichard K. Elsley. 587-594 [doi]
- The use of neural networks in PSRI target recognitionS. E. Troxel, Steven K. Rogers, Matthew Kabrisky. 593-600 [doi]
- A neuromorphic controller with a human teacherAllon Guez, John Selinsky. 595-602 [doi]
- A hierarchical system for character recognition with stochastic knowledge representationJohn A. Vlontzos, Sun-Yuan Kung. 601-608 [doi]
- Intelligent decisions and dynamic coordination: properties of geometrical representation by generalized frames intrinsic to neural and robotic systemsA. J. Pellionisz. 603-610 [doi]
- Superresolution for ultrasonic imaging in air using neural networksJack H. Winters. 609-616 [doi]
- Neural networks mediating linearizable dynamic redundant sensori-motor reflexes characterized by minimum of Hermitian normWolfgang J. Daunicht. 611-616 [doi]
- Solution to the inverse kinematics problem in robotics by neural networksAllon Guez, Ziauddin Ahmad. 617-624 [doi]
- Ultradiffusion, scale space transformation, and the morphology of neural networksSheldon Gardner. 617-623 [doi]
- Robot control using neural networksG. Josin, D. Charney, D. White. 625-631 [doi]
- Distortion invariant character recognition by a multi-layer perceptron and back-propagation learningAlireza Khotanzad, Jiin-Her Lu. 625-632 [doi]
- Statistical neurodynamics of various versions of correlation associative memoryShun-ichi Amari. 633-640 [doi]
- Intelligent control of the Intelledex 605T robot manipulatorDejan J. Sobajic, Jun-Jie Lu, Yoh-Han Pao. 633-640 [doi]
- Capabilities of three-layered perceptronsBunpei Irie, Sei Miyake. 641-648 [doi]
- An adaptive 'broom balancer' with visual inputsViral V. Tolat, Bernard Widrow. 641-647 [doi]
- Gradient descent fails to separateMartin L. Brady, Raghu Raghavan, Joseph Slawny. 649-656 [doi]
- There exists a neural network that does not make avoidable mistakesA. Ronald Gallant, Halbert White. 657-664 [doi]
- Back-propagation networks for event-driven temporal sequence processingKatsunori Shimohara, Tadasu Uchiyama, Yukio Tokunaga. 665-672 [doi]
- The resonance correlation networkThomas W. Ryan. 673-680 [doi]
- Towards a 'neural' architecture for abductive reasoningAshok K. Goel 0001, J. Ramanujam, P. Sadayappan. 681-688 [doi]
- Temporal pattern recognitionChen-Han Sung, Carey E. Priebe. 689-696 [doi]