Abstract is missing.
- Dynamically defined gestures in an articulatory phonologyC. P. Browman, L. Goldstein. 1 [doi]
- Stationarity and nonstationarity in a self-organizing information system with primitive intentionsP. N. Kugler. 1 [doi]
- Knowing how to juggle: dynamical basis of a complex, learned skillP. Beek. 1 [doi]
- Stock market prediction system with modular neural networksTakashi Kimoto, Kazuo Asakawa, Morio Yoda, Masakazu Takeoka. 1-6 [doi]
- Toward context dependent classification of infra-red spectra by energy minimizationR. Lister. 1-6 [doi]
- On the capacity of three-layer networksShotaro Akaho, Shun-ichi Amari. 1-6 [doi]
- Neural network data fusion concepts and applicationMitch Eggers, Tim Khuon. 7-16 [doi]
- Computation of proximity effect corrections in electron beam lithography by a neural networkRobert C. Frye, Edward A. Rietman, Kevin D. Cummings. 7-14 [doi]
- Approximating and learning unknown mappings using multilayer feedforward networks with bounded weightsMaxwell B. Stinchcombe, Halbert White. 7-16 [doi]
- Fingerprint processing using back propagation neural networksM. T. Leung, W. E. Engeler, P. Frank. 15-20 [doi]
- Convergence of Kohonen's learning vector quantizationJohn S. Baras, Anthony LaVigna. 17-20 [doi]
- Multi sensor data fusion within hierarchical neural networksJ. Rajapakse, R. Acharya. 17-22 [doi]
- Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weightsDerrick Nguyen, Bernard Widrow. 21-26 [doi]
- Connectivity strategies for higher-order neural networks applied to pattern recognitionLilly Spirkovska, Max B. Reid. 21-26 [doi]
- Meteorological classification of satellite imagery using neural network data fusionI. G. Smotroff, T. P. Howells, S. Lehar. 23-28 [doi]
- Applying a Hopfield-style network to degraded text recognitionArun Jagota. 27-32 [doi]
- Modification of backpropagation networks for complex-valued signal processing in frequency domainM. S. Kim, Clark C. Guest. 27-31 [doi]
- Neural network controller for adaptive routing in survivable communications networksJ. E. Jensen, M. A. Eshera, S. C. Barash. 29-36 [doi]
- Automotive diagnostics using trainable classifiers: statistical testing and paradigm selectionKenneth A. Marko, Lee A. Feldkamp, Gintaras V. Puskorius. 33-38 [doi]
- Neurogammon: a neural-network backgammon programGerald Tesauro. 33-39 [doi]
- A neurocontroller based on model feedback and the adaptive heuristic criticJ. Jameson. 37-44 [doi]
- Frequency selective surface design based on iterative inversion of neural networksJenq-Neng Hwang, C. H. Chan, Robert J. Marks II. 39-44 [doi]
- MEKA - a fast, local algorithm for training feedforward neural networksSamir A. Shah, Francesco Palmieri. 41-46 [doi]
- Radial basis function classification of impulse radar waveformsGary Vrckovnik, C. R. Carter, Simon Haykin. 45-50 [doi]
- Speaker-independent recognition of spoken English lettersRonald A. Cole, Mark A. Fanty, Yeshwant K. Muthusamy, M. Gopalakrishnan. 45-51 [doi]
- Analysis of transients on basis of identification of signal generative structure: Even unto chaosYoh-Han Pao, G. M. Zwingelstein, Dejan J. Sobajic. 47-55 [doi]
- Hebbian feature discovery improves classifier efficiencyTodd K. Leen, Mike Rudnick, Dan Hammerstrom. 51-56 [doi]
- Bone fracture healing assessment using a neural networkJonathan J. Kaufman, A. Chiabrera, N. Hakim, M. Hatem, M. Figueiredo, P. Nasser, S. Lattuga, P. Trent, A. A. Pilla, Robert S. Siffert. 53-58 [doi]
- Speaker-independent phoneme recognition on TIMIT database using integrated time-delay neural networks (TDNNs)Nobuo Hataoka, Alexander H. Waibel. 57-62 [doi]
- Query learning based on boundary search and gradient computation of trained multilayer perceptronsJenq-Neng Hwang, Jai J. Choi, Seho Oh, Robert J. Marks II. 57-62 [doi]
- A real time neural net estimator of fatigue lifeTerry Troudet, Walter C. Merrill. 59-64 [doi]
- INSIDE: a neuronet based hardware fault diagnostic systemA. H. Tan, Q. Pan, H. C. Lui, H. H. Teh. 63-68 [doi]
- Comparison between entropy net and decision tree classifiersIshwar K. Sethi, Mike Otten. 63-68 [doi]
- Categorization of faces using unsupervised feature extractionM. K. Fleming, Garrison W. Cottrell. 65-70 [doi]
- Classifying impulse radar waveforms using principle components analysis and neural networksGary Vrckovnik, T. Chung, C. R. Carter. 69-74 [doi]
- Role of activation function on hidden units for sample recording in three-layer neural networksX. Ying. 69-74 [doi]
- A high-speed learning method for analog neural networksT. Matsumoto, M. Koga. 71-76 [doi]
- Proposal for neural-network applications to fiber-optic transmissionT. Matsumoto, M. Koga, K. Noguchi, S. Aizawa. 75-80 [doi]
- Smoothing backpropagation cost function by delta constrainingPietro Burrascano, P. Lucci. 75-80 [doi]
- Building expert systems by a modified perceptron network with rule-transfer algorithmsQ. Yang, V. K. Bhargava. 77-82 [doi]
- A learning rule in the Chebyshev norm for multilayer perceptronsPietro Burrascano, P. Lucci. 81-86 [doi]
- Incipient fault detection and diagnosis using artificial neural networksJ. C. Hoskins, K. M. Kaliyur, David M. Himmelblau. 81-86 [doi]
- Neural networks for computing invariant clustering of a large open set of DNA-PCR-primers generated by a feature-knowledge based systemDalila Benachenhou, Masud Cader, Harold H. Szu, Larry R. Medsker, Carl T. Wittwer, David J. Garling. 83-89 [doi]
- A neural sorting network with O(1) time complexityWen-Tsuen Chen, Kuen-Rong Hsieh. 87-95 [doi]
- A generalist-specialist paradigm for multilayer neural networksLaurent Bochereau, Paul Bourgine. 87-91 [doi]
- PROCANS: a protein classification system using a neural networkCathy H. Wu, George M. Whitson, G. J. Montllor. 91-96 [doi]
- Learning with hidden targetsJ. Song, M. H. Hassoun. 93-98 [doi]
- Rule extraction and validity domain on a multilayer neural networkLaurent Bochereau, Paul Bourgine. 97-100 [doi]
- Out-of-core backpropagationCarl Diegert. 97-103 [doi]
- Learning by parallel forward propagationS. Abe. 99-104 [doi]
- Classifying seismic signals via RCE neural networkHaw-Jye Shyu, John M. Libert, S. D. Mann. 101-105 [doi]
- Neural networks in noisy environment: a simple temporal higher order learning for feed-forward networksThierry J. Guillerm, Neil E. Cotter. 105-112 [doi]
- The use of back propagation neural networks to identify mediator-specific cardiovascular waveformsDaniel B. Rayburn, Casimir C. Klimasauskas, Adolph J. Januszkiewicz, Jamie M. Lee, Gary R. Ripple, James R. Snapper. 105-110 [doi]
- A neural network trained to select aircraft maneuvers during air combat: a comparison of network and rule based performanceD. C. McMahon. 107-112 [doi]
- Information retrieval using hybrid multi-layer neural networksM. Gersho, R. Reiter. 111-117 [doi]
- Learning internal representations of pattern sequences in a neural network with adaptive time-delaysUlrich Bodenhausen. 113-118 [doi]
- Cooperation of neural nets for robust classificationMichel de Bollivier, Patrick Gallinari, Sylvie Thiria. 113-120 [doi]
- A new robust neural network method for coherent interference rejection in adaptive array systemsS. Sung, F. M. Ham, W. Shelton. 119-124 [doi]
- Topological analysis of infinite learning automata I: classification of neural network behaviorWilliam H. Clingman, Donald K. Friesen. 119-124 [doi]
- A neural network architecture for the decoding of long constraint length convolutional codesMichael D. Alston, Paul M. Chau. 121-126 [doi]
- Structured trainable networks for matrix algebraL. Wang, J. M. Mendel. 125-132 [doi]
- Strictly local backpropagationDonald W. Fausett. 125-130 [doi]
- Neural computation for planning AND/OR precedence-constraint robot assembly sequencesC. L. P. Chen. 127-142 [doi]
- Dynamics of signal processing in feedback multilayer perceptronsHans-Ulrich Bauer, Theo Geisel. 131-136 [doi]
- Nonlinear dynamic system identification using artificial neural networks (ANNs)Benito Fernandez, Alexander G. Parlos, Wei Kang Tsai. 133-141 [doi]
- The influence of training sets on generalization in feed-forward neural networksM. Wann, T. Hediger, N. N. Greenbaum. 137-142 [doi]
- Polar backpropagation [artificial neural networks]K. R. L. Godfrey, Y. Attikiouzel. 143-148 [doi]
- Improved evoked potential estimation using neural networkAurelio Uncini, Michele Marchesi, Gianni Orlandi, Francesco Piazza. 143-148 [doi]
- NPS: a neural network programming systemA. S. Bavan. 143-148 [doi]
- A method for designing the internal representation of neural networksO. Fujita. 149-154 [doi]
- Feature maps based weight vectors for spatiotemporal pattern recognition with neural netsM. M. Yen, M. R. Blackburn, H. G. Nguyen. 149-155 [doi]
- A shunting inhibitory motion detector that can account for the functional characteristics of fly motion-sensitive interneuronsAbdesselam Bouzerdoum, R. B. Pinter. 149-153 [doi]
- Neural circuitry mediating locomotion in C. elegans : molecular correlates of inhibitory motor neuronsS. S. Siddiqui. 155-160 [doi]
- Explicit representation of knowledge acquired from plant historical data using neural networkK. Baba, I. Enbutu, M. Yoda. 155-160 [doi]
- Neural networks for bond rating improved by multiple hidden layersAlvin J. Surkan, J. C. Singleton. 157-162 [doi]
- Statistical neurodynamics of the oscillatory circuit underlying central pattern generationHong Pan, Minping Qian, Aike Guo. 161-168 [doi]
- Extra output biased learningY. H. Yu, R. F. Simmons. 161-166 [doi]
- A neural network model for bankruptcy predictionM. D. Odom, R. Sharda. 163-168 [doi]
- Descending epsilon in back-propagation: a technique for better generalizationY. H. Yu, R. F. Simmond. 167-172 [doi]
- Systolic array implementations of neural nets on the MasPar MP-1 massively parallel processorG. Chinn, K. A. Grajski, C. Chen, C. Kuszmaul, S. Tomboulian. 169-173 [doi]
- Some experiments on learning stable network oscillationsFu-Sheng Tsung, Garrison W. Cottrell, Allen I. Selverston. 169-174 [doi]
- Learning algorithms for auto-associators with full storage capacityC. K. Lee, H. K. Kwan. 173-178 [doi]
- Operational experience with a neural network in the detection of explosives in checked airline luggageP. M. Shea, F. Liu. 175-178 [doi]
- Oscillating networks: modeling the pyloric circuit of the stomatogastric ganglionL. F. Abbott, Scott L. Hooper, Thomas B. Kepler, Eve Marder. 175-180 [doi]
- The harmonium and decision problemsSami Khuri, Aïda Batarekh. 179-183 [doi]
- Connectionist nonlinear over-relaxationShelly D. D. Goggin, Karl E. Gustafson, Kristina M. Johnson. 179-184 [doi]
- Analogies of brain function in neural network modelsGeorge J. Mpitsos, Robert M. Burton Jr., M. O. Hatfield. 181-182 [doi]
- A dynamical neural network model of sensorimotor transformations in the leechShawn R. Lockery, Yan Fang, Terrence J. Sejnowski. 183-188 [doi]
- A PC-based neural network for recognition of difficult syllables using LPC coefficient differenceC. Shim, B. Espinoza-Varas, J. Y. Cheung. 185-190 [doi]
- A new error criterion for posterior probability estimation with neural netsAmro El-Jaroudi, John Makhoul. 185-192 [doi]
- Hexapod gait control by a neural networkN. Porcino. 189-194 [doi]
- Phoneme recognition with a time-delay neural networkA. Shaw, R. A. Mitchell. 191-195 [doi]
- A higher order unit that performs arbitrary Boolean functionsGerald Fahner. 193-197 [doi]
- Effect of neural network input span on phoneme classificationCandace A. Kamm, S. Singhal. 195-200 [doi]
- Multi-fault diagnosis of electronic circuit boards using neural networksBrenda J. Kagle, John H. Murphy, L. J. Koos, J. R. Reeder. 197-202 [doi]
- Logistic regression and the Boltzmann machineJoseph J. DeStefano. 199-204 [doi]
- Application of temporal supervised learning algorithm to generation of natural languageR. Kamimura. 201-207 [doi]
- A low cost pattern classifier based on coding techniquesN. Gaitanis, D. A. Karras. 203-208 [doi]
- Binary backpropagation in content addressable memoryStephen A. Brodsky, Clark C. Guest. 205-210 [doi]
- A method for noise filtering with feed-forward neural networks: Analysis and comparison with low-pass and optimal filteringB. Anderson, D. Montgomery. 209-214 [doi]
- An approximation of nonlinear discriminant analysis by multilayer neural networksHideki Asoh, Nobuyuki Otsu. 211-216 [doi]
- Stochastic competitive learningBart Kosko. 215-226 [doi]
- Stock price pattern recognition-a recurrent neural network approachK. Kamijo, T. Tanigawa. 215-221 [doi]
- Learning in a recognition network: a synthesis of model-based and data-driven approachesO. Farotimi, R. Raghavan. 217-224 [doi]
- Combining linear equalization and self-organizing adaptation in dynamic discrete-signal detectionTeuvo Kohonen, Kimmo Raivio, Olli Simula, Olli Ventä, Jukka Henriksson. 223-228 [doi]
- Classification of large set of handwritten characters using modified back propagation modelA. Krzyzak, W. Dai, C. Y. Suen. 225-232 [doi]
- A drive-reinforcement neural network model of simple instrumental conditioningJames S. Morgan, E. C. Patterson, A. Harry Klopf. 227-232 [doi]
- Representation of material behavior: neural network-based modelsX. Wu, James H. Garrett Jr., J. Ghaboussi. 229-234 [doi]
- Fast adaptive k-means clustering: some empirical resultsChristian J. Darken, John E. Moody. 233-238 [doi]
- Learning in asymptotically behaving neural networksNikitas J. Dimopoulos, Don Radvan, W. A. Keddy. 233-238 [doi]
- A neural network approach to first break pickingJ. Veezhinathan, D. Wagner. 235-240 [doi]
- Scaling of back-propagation training time to large dimensionsGregg D. Wilensky, Joseph A. Neuhaus. 239-244 [doi]
- Dynamics of feedback neural nets with unsupervised learningFathi M. A. Salam, Shi Bai, J. Hou. 239-244 [doi]
- A multi-layer neural network classifier for radar clutterCong Deng, Simon Haykin. 241-246 [doi]
- Conditions for the convergence of one-layer networks under reinforcement learningJ. C. C. Ip, Mabo Robert Ito, P. D. Lawrence. 245-252 [doi]
- The piecewise linear neural network: training and recognitionY.-H. Kong, A. S. Noetzel. 245-250 [doi]
- Modeling human performance with neural networksE. Fix, H. G. Armstrong. 247-252 [doi]
- The effects of distortion measures and feature sets on neural network classifiersTzyy-Ping Jung, Ashok K. Krishnamurthy, Stanley C. Ahalt. 251-256 [doi]
- An on-line algorithm for dynamic reinforcement learning and planning in reactive environmentsJürgen Schmidhuber. 253-258 [doi]
- Maximum likelihood estimation for direction of arrival using a nonlinear optimising neural networkT. M. Jelonek, J. P. Reilly. 253-258 [doi]
- A fast learning technique for the multilayer perceptronW. Fakhr, M. I. Elmasry. 257-262 [doi]
- Combining heuristics for optimizing a neural net solution to the traveling salesman problemW. Yen, D. McLean. 259-264 [doi]
- Cross-coupled Hopfield nets via generalized-delta-rule-based internetworksK. Tsutsumi. 259-265 [doi]
- A feedback neural network with supervised learningF. M. A. Salam, S. Bai. 263-268 [doi]
- Hierarchically structured neural networks for printed Hangul character recognitionSung-Bae Cho, J. H. Kim. 265-270 [doi]
- Pulse stream neural networks and reinforcement learningK. Valtonen, Torbjörn Kronander, Ingemar Ingemarsson. 267-272 [doi]
- Resource constrained design of artificial neural networksBenjamin W. Wah, Harish Kriplani. 269-279 [doi]
- Power system state evaluation by structured neural networkK. Nishimura, M. Arai. 271-277 [doi]
- Single layer potential function neural network for unsupervised learningA. L. Dajani, M. Kamel, M. I. Elmastry. 273-278 [doi]
- Time-table scheduling using neural network algorithmsT. L. Yu. 279-284 [doi]
- Self-organizing hierarchical feature mapsPasi Koikkalainen, E. Oja. 279-284 [doi]
- High order neural networks with reduced numbers of interconnection weightsH. Yang, Clark C. Guest. 281-286 [doi]
- Competitive learning using competitive activation rulesGranger G. Sutton III, James A. Reggia, J. M. Maisog. 285-291 [doi]
- Condela-3: A language for neural networksN. Almassy, Monika Köhle, Franz Schänbauer. 285-290 [doi]
- Linear discriminants, logic functions, backpropagation, and improved convergenceH. Yang, Clark C. Guest. 287-292 [doi]
- Implementation of minimum error expert systemHarris Drucker. 291-296 [doi]
- A general architecture for classical conditioning of perceptual-motor sequencesM. R. Blackburn. 293-298 [doi]
- Learning an archetype of a symmetry classEdgardo A. Ferrán, Roberto P. J. Perazzo. 293-298 [doi]
- A neural implementation of conceptual hierarchies with Bayesian reasoningPekka Orponen, Patrik Floréen, Petri Myllymäki, Henry Tirri. 297-303 [doi]
- Multiple descent cost competitive learning: batch and successive self-organization with excitatory and inhibitory connectionsY. Matsuyama. 299-306 [doi]
- Memorizing hierarchical temporal patterns in analog neuron networksKenji Doya, Shuji Yoshizawa. 299-304 [doi]
- A novel, geometric supervised learning scheme using linear programming approachC.-L. J. Hu. 305-308 [doi]
- An examination of the application of multi-layer neural networks to audio signal processingJohn D. Hoyt, Harry Wechsler. 305-310 [doi]
- Self-organization by delta ruleTomas Hrycej. 307-312 [doi]
- Self-adaptive neural architectures for control applicationsS.-D. Wang, H. M. S. Yeh. 309-314 [doi]
- Velotopic maps in well-log inversionPietro Burrascano, P. Lucci, Giuseppe Martinelli, Renzo Perfetti. 311-316 [doi]
- SONNET: a self-organizing neural network that classifies multiple patterns simultaneouslyA. L. Nigrin. 313-318 [doi]
- A network with pulse processing neurons for generation of arbitrary temporal sequencesNils Goerke, M. Schone, B. Kreimeier, Rolf Eckmiller. 315-320 [doi]
- Integrated approach using neural networks for fault detection and diagnosisY. Yamamoto, V. Venkatasubramanian. 317-326 [doi]
- Self-organization properties of a discriminator-based neural networkP. Ntourntoufis. 319-324 [doi]
- Quasi-local solution for inverse kinematics of a redundant robot armJ. Hakala, R. Steiner, Rolf Eckmiller. 321-326 [doi]
- Self-organizing neural network character recognition on a massively parallel computerCharles L. Wilson, R. A. Wilkinson, Michael D. Garris. 325-329 [doi]
- A knowledge based neural network approach for waste water treatment systemSrinivas Krovvidy, William G. Wee. 327-332 [doi]
- Robot kinematic control based on bidirectional mapping neural networkS. Lee, R. M. Kil. 327-335 [doi]
- Time-delayed self-organizing mapsJari Kangas. 331-336 [doi]
- Teaching neural networks to guide a vehicle through an obstacle course by emulating a human teacherKarl-Friedrich Kraiss, Heinz Küttelwesch. 333-337 [doi]
- Learning filter systemsReiner Lenz, Mats Österberg. 337-342 [doi]
- Application of neural networks on robot grippersG. Xu, H. Scherrer, G. Schweitzer. 337-342 [doi]
- A comparison of image compression by neural networks and principal component analysisD. Anthony, E. Hines, J. Barham, D. Taylor. 339-344 [doi]
- Unsupervised clustering based on a competitive cost functionMarco Saerens. 343-348 [doi]
- A neural network interface to the DIGITS Grasping SystemMark D. Hanes, Stanley C. Ahalt, Khalid Mirza, David E. Orin. 343-348 [doi]
- Neural network applications in synthetic organic chemistry. I. A hybrid system which performs retrosynthetic analysisH. H. Luce, R. Govind. 345-350 [doi]
- TRELIS: an optimal unsupervised local training ruleS. Haghighi, Larry A. Akers. 349-354 [doi]
- Comparison of fuzzy and neural truck backer-upper control systemsS.-G. Kong, B. Kosko. 349-358 [doi]
- Some performance results for a connection machine implementation of the boundary contour systemB. W. York, M. K. Atkins. 351-358 [doi]
- Addressing scaling and plasticity problems with a biologically motivated self-organizing networkG. M. Laskoski. 355-360 [doi]
- Synergy of artificial neural networks and knowledge-based expert systems for intelligent FMS schedulingL. C. Rabelo, S. Alptekin, A. S. Kiran. 359-366 [doi]
- A self-organizing controller for dynamic processes using neural networksAjay Patrikar, John D. Provence. 359-364 [doi]
- A neural network approach to prediction of psychological performance in frequency discriminationF.-G. Zeng, M. Zhang, Kishan G. Mehrotra, Chilukuri K. Mohan, Sanjay Ranka. 361-366 [doi]
- Fuzzy control using neural network techniquesToshiaki Iwata, Kazuo Machida, Yoshitsugu Toda. 365-370 [doi]
- Circular inhibition: a new concept in long-range interactions in the mammalian visual cortexErnst Niebur, Florentin Wörgötter. 367-372 [doi]
- Neural network classification of event related potentials for the design of a new computer interfaceC. Konger, J. C. Principe, M. Taner. 367-372 [doi]
- A regulator design method using multi-layered neural networksYouji Iiguni, Hideaki Sakai, Hidekatsu Tokumaru. 371-379 [doi]
- R-P learning applied to a network model of cortical area 7aPietro Mazzoni, Richard A. Andersen, Michael I. Jordan. 373-379 [doi]
- Signature verification with a syntactic neural netSimon M. Lucas, Robert I. Damper. 373-378 [doi]
- Synthesis of neural networks with linear programsS. Ursic. 379-383 [doi]
- Algorithm programmed by a neural network model for coordinate transformationS. J. Goodman, Richard A. Andersen. 381-386 [doi]
- Neural network adaptive controllersR. W. Scott, D. J. Collins. 381-386 [doi]
- Testability of the arbitrage pricing theory by neural networkH. Ahmadi. 385-393 [doi]
- Coherency detection and response segregation by synchronizing and desynchronizing delay connections in a neuronal oscillator modelThomas B. Schillen, Peter König. 387-395 [doi]
- A neuromorphic cascaded context sensitive controller for robot manipulatorRoman W. Swiniarski. 387-392 [doi]
- Neural network architectures for the forward kinematics problem in roboticsL. Nguyen, R. V. Patel, K. Khorasani. 393-399 [doi]
- Modified neocognitron with position normalizing preprocessor for translation invariant shape recognitionJay I. Minnix, Eugene S. McVey, Rafael M. Inigo. 395-400 [doi]
- Synchronization in distributed neural systemsVinod Menon, D. S. Tang. 397-402 [doi]
- Methuselah networks and optimal controlNeil E. Cotter, Peter R. Conwell. 401-406 [doi]
- Neurocomputation of image motionD. S. Tang. 401-406 [doi]
- Chaotic dynamics of time-delay neural networksJosé Carlos Principe, P.-C. Lo. 403-409 [doi]
- Neural network based controllers for a single-degree-of-freedom robotic armK. Wilhelmsen, Neil E. Cotter. 407-413 [doi]
- An artificial neural network for motion detection and speed estimationSpiros H. Courellis, Vasilis Z. Marmarelis. 407-421 [doi]
- Size and distortion invariant object recognition by hierarchical graph matchingJoachim M. Buhmann, Martin Lades, Christoph von der Malsburg. 411-416 [doi]
- Delta rule-based neural networks for inverse kinematics: error gradient reconstruction replaces the teacherHeinz Walter Werntges. 415-420 [doi]
- Neural mapping and space-variant image processingWerner von Seelen, Hanspeter A. Mallot. 417-422 [doi]
- Unsupervising adaption neural-network controlG. J. Wang, D. K. Miu. 421-428 [doi]
- Adaptive clustering neural net for piecewise nonlinear discriminant surfacesDavid Casasent, Etienne Barnard. 423-428 [doi]
- A neural network model for the formation of topographic maps in the CNS: development of receptive fieldsKlaus Obermayer, Helge J. Ritter, Klaus Schulten. 423-429 [doi]
- Neural networks for process identificationD. Haesloop, B. R. Holt. 429-434 [doi]
- Multispectral magnetic resonance image segmentation using neural networksMehmed Özkan, H. G. Sprenkels, Benoit M. Dawant. 429-434 [doi]
- Modeling of oscillatory activity of neuron assemblies of the visual cortexGalina N. Borisyuk, Roman M. Borisyuk, Alexandr B. Kirillov, V. I. Kryukov, W. Singer. 431-434 [doi]
- Application of the boundary contour/feature contour system to magnetic resonance brain scan imagerySteve Lehar, Andrew J. Worth, David N. Kennedy. 435-440 [doi]
- A new adaptive control algorithm based on signal characterizationC. Aissi, M. F. Chouikha. 435-446 [doi]
- Generalization of neural networks to the complex planeThomas L. Clarke. 435-440 [doi]
- Towards unsupervised data-flow analysis: neural models for clustering and factor analysis of large sets of highly multidimensional objectsA. Leluk, A. Georgel. 441-446 [doi]
- Orthogonal learning network for constrained principal component problemS. Y. Kung. 441-449 [doi]
- Calculating the information content of a temporally modulated spike trainJames P. Coughlin, Robert H. Baran. 447-452 [doi]
- Neural network application for robotic motion control-adaptation and learningToshio Fukuda, Takanori Shibata, Masatoshi Tokita, Toyokazu Mitsuoka. 447-451 [doi]
- An initial performance evaluation of unsupervised learning with ALIASPeter Bock, H. Holz, Richard M. Rovner, C. J. Kocinski. 451-465 [doi]
- Analysis of real neuronal circuits in the vertebrate central nervous systemS. Reinis, D. S. Weiss, S. McGaraughty. 453-458 [doi]
- The 'detailed balance' net: a stable asymmetric artificial neural system for unsupervised learningJürgen Hollatz, Bernd Schürmann. 453-459 [doi]
- Verification of continuity, using temporal codeGeorg Hartmann, Siegbert Drüe. 459-464 [doi]
- Remarks on the stability of asymmetric dynamical neural networksShaohua Tan, Lieven Vandenberghe, Joos Vandewalle. 461-467 [doi]
- A random walk in Hamming spaceD. Smith, P. Stanford. 465-470 [doi]
- A neural network based matrix inversion algorithmRonald J. Steriti, J. Coleman, Michael A. Fiddy. 467-470 [doi]
- Hairy neuron convergence theorems without the precision of timingHarold H. Szu. 469-476 [doi]
- Thermal comfort sensor based on probabilistic energy neural networkT. Takemori, N. Miyasaka, S. Hirose. 471-476 [doi]
- Pattern classification using self-organizing feature mapsS. Lu. 471-480 [doi]
- Learning in competitively inhibited neural netsMichael L. Lemmon, B. V. K. Vijaya Kumar. 477-482 [doi]
- Mechanisms of pattern discrimination in the toad's visual systemDeLiang Wang, Michael A. Arbib. 477-482 [doi]
- LVQ of image sequence source and ANS classification of finite state machine for high compression codingConstantine N. Manikopoulos, George E. Antoniou, S. Metzelopoulou. 481-486 [doi]
- Maximally fault-tolerant neural networks and nonlinear programmingChalapathy Neti, Michael H. Schneider, Eric D. Young. 483-496 [doi]
- Dynamics of lateral interaction networksJ. Moody. 483-486 [doi]
- General layered neural network for stereo disparity detectionE. Maeda. 487-490 [doi]
- Dynamical self-organization and formation of cortical mapsJ. Zhang. 487-492 [doi]
- A texture classifier based on neural network principlesAri Visa. 491-496 [doi]
- A learning rule for CAM storage of continuous periodic sequencesB. Baird. 493-498 [doi]
- Tactile feature extraction and classification with connectionist modelsMarcus Thint, Paul P. Wang. 497-502 [doi]
- Local correlations as a translationally invariant feature space for target detectionJon P. Davis, William A. C. Schmidt. 497-502 [doi]
- Solving the tag assignment problem for neural networks with simulated assemblies of minicolumnsG. W. Strong. 499-504 [doi]
- Low-level image processing and edge enhancement using a self-organizing neural networkAtam P. Dhawan, Thomas E. Dufresne. 503-510 [doi]
- A physiologically motivated front-end for speech recognitionT. K. P. Nguyen, R. P. Lippmann, B. Gold, D. B. Paul. 503-508 [doi]
- A dynamic approach to invariant extraction from time-varying inputs by using chaos in neural netsGianfranco Basti, Antonio L. Perrone, V. Cimagalli, M. Giona, E. Pasero, G. Morgavi. 505-510 [doi]
- Functional interpretations of neocortical modulesPeter Z. Revesz. 509-514 [doi]
- Massively parallel image restorationMurali M. Menon, William M. Wells III. 511-516 [doi]
- Genetic programming: building nanobrains with genetically programmed neural network modulesHugo de Garis. 511-516 [doi]
- Reconstruction of Munsell color space by a five-layered neural networkShiro Usui, Shigeki Nakauchi, M. Nakano. 515-520 [doi]
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