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    Journal: Neural Networks

    Volume 8, Issue 9

    1359 -- 1365C. Lee Giles, Bill G. Horne, Tsungnan Lin. Learning a class of large finite state machines with a recurrent neural network
    1367 -- 1372Danil V. Prokhorov, Roberto A. Santiago, Donald C. Wunsch II. Adaptive critic designs: A case study for neurocontrol
    1373 -- 1378Bart Truyen, Jan Cornelis. Adiabatic layering: A new concept of hierarchical multi-scale optimization
    1379 -- 1408Shun-ichi Amari. Information geometry of the EM and em algorithms for neural networks
    1409 -- 1431Michael I. Jordan, Lei Xu. Convergence results for the EM approach to mixtures of experts architectures
    1433 -- 1438Margarita Kuzmina. The recalling process dynamics of associative memory neural networks in macrodynamical approach
    1439 -- 1453Soheil Shams. Multiple elastic modules for visual pattern recognition
    1457 -- 1473Paul D. Gader, Joseph R. Miramonti, Yonggwan Won, Patrick Coffield. Segmentation free shared weight networks for automatic vehicle detection
    1475 -- 1486Heggere S. Ranganath, Derek E. Kerstetter, S. Richard F. Sims. Self partitioning neural networks for target recognition

    Volume 8, Issue 7-8

    1003 -- 0Stephen Grossberg, Harold Hawkins, Allen M. Waxman. Introduction: 1995 special issue automatic target recognition
    1005 -- 1028Stephen Grossberg, Ennio Mingolla, James R. Williamson. Synthetic aperture radar processing by a multiple scale neural system for boundary and surface representation
    1029 -- 1051Allen M. Waxman, Michael Seibert, Alan N. Gove, David A. Fay, Ann Marie Bernardon, Carol Lazott, William R. Steele, Robert K. Cunningham. Neural processing of targets in visible, multispectral IR and SAR imagery
    1053 -- 1080Gary R. Bradski, Stephen Grossberg. Fast-learning VIEWNET architectures for recognizing three-dimensional objects from multiple two-dimensional views
    1081 -- 1102Mark W. Koch, Mary M. Moya, Larry D. Hostetler, R. Joseph Fogler. Cueing, feature discovery, and one-class learning for synthetic aperture radar automatic target recognition
    1103 -- 1108Ann Marie Bernardon, James E. Carrick. A neural system for automatic target learning and recognition applied to bare and camouflaged SAR targets
    1109 -- 1116Mark A. Rubin. Application of fuzzy ARTMAP and ART-EMAP to automatic target recognition using radar range profiles
    1117 -- 1129David Casasent, Leonard M. Neiberg. Classifier and shift-invariant automatic target recognition neural networks
    1131 -- 1141John W. Fisher III, José Carlos Príncipe. A nonlinear extension of the MACE filter
    1143 -- 1152Paul Sajda, Clay Spence, Steven C. Hsu, John C. Pearson. Integrating neural networks with image pyramids to learn target context
    1153 -- 1184Steven K. Rogers, John M. Colombi, Curtis E. Martin, James C. Gainey, Kenneth H. Fielding, Tom J. Burns, Dennis W. Ruck, Matthew Kabrisky, Mark E. Oxley. Neural networks for automatic target recognition
    1185 -- 1200Leonid I. Perlovsky, Julian A. Chernick, William H. Schoendorf. Multi-sensor ATR and identification of friend or foe using MLANS
    1201 -- 1214Shih-Chung Ben Lo, Heang-Ping Chan, Jyh-Shyan Lin, Huai Li, Matthew T. Freedman, Seong K. Mun. Artificial convolution neural network for medical image pattern recognition
    1215 -- 1226Terrance L. Huntsberger. Biologically motivated cross-modality sensory fusion system for automatic target recognition
    1227 -- 1237Sivasubramaniam Ramanan, Rasmus S. Petersen, Trevor G. Clarkson, John G. Taylor. pRAM nets for detection of small targets in sequences of infra-red images
    1239 -- 1261James A. Simmons, Prestor A. Saillant, Janine M. Wotton, Tim Haresign, Michael J. Ferragamo, Cynthia F. Moss. Composition of biosonar images for target recognition by echolocating bats
    1263 -- 1273Herbert L. Roitblat, Whitlow W. L. Au, Paul E. Nachtigall, Reid H. Shizumura, Gerald C. Moons. Sonar recognition of targets embedded in sediment
    1275 -- 1295Richard A. Altes. Signal processing for target recognition in biosonar
    1297 -- 1308Eric L. Schwartz, Douglas N. Greve, Giorgio Bonmassar. Space-variant active vision: Definition, overview and examples
    1309 -- 1321Robert Hecht-Nielsen, Yi-Tong Zhou. VARTAC: A foveal active vision ATR system
    1323 -- 1347Andreas G. Andreou, Richard C. Meitzler, Kim Strohbehn, Kwabena Boahen. Analog VLSI neuromorphic image acquisition and pre-processing systems
    1349 -- 1358David K. Andes, James C. Witham, Michael D. Miles. MAVIS: A special purpose neural computational system for ATR

    Volume 8, Issue 6

    833 -- 838Masato Okada. A hierarchy of macrodynamical equations for associative memory
    839 -- 851Yoji Uno, Naohiro Fukumura, Ryoji Suzuki, Mitsuo Kawato. A computational model for recognizing objects and planning hand shapes in grasping movements
    853 -- 864H. Chris Tseng, Dragoslav D. Siljak. A learning scheme for dynamic neural networks: Equilibrium manifold and connective stability
    865 -- 875Frank E. McFadden. Convergence of competitive activation models based on virtual lateral inhibition
    877 -- 890Stephen A. Billings, Guang L. Zheng. Radial basis function network configuration using genetic algorithms
    891 -- 900Dominique Martinez, Marc M. Van Hulle. Generalized boundary adaptation rule for minimizing rth power law distortion in high resolution quantization
    901 -- 904R. J. Gaynier, T. Downs. Sinusoidal and monotonic transfer functions: Implications for VC dimension
    905 -- 913Ralph D. Mason, William Robertson. Mapping hierarchical neural networks to VLSI hardware
    915 -- 930Luonan Chen, Kazuyuki Aihara. Chaotic simulated annealing by a neural network model with transient chaos
    931 -- 944S. D. Hunt, John R. Deller Jr.. Selective training of feedforward artificial neural networks using matrix perturbation theory
    945 -- 962Dogan Alpsan, Michael Towsey, Ozcan Ozdamar, Ah Chung Tsoi, Dhanjoo N. Ghista. Efficacy of modified backpropagation and optimisation methods on a real-world medical problem
    963 -- 973G. Cammarata, Salvatore Cavalieri, A. Fichera. A neural network architecture for noise prediction
    975 -- 987P. P. Raghu, R. Poongodi, B. Yegnanarayana. A combined neural network approach for texture classification
    989 -- 998David Casasent, Sanjay Natarajan. A classifier neural net with complex-valued weights and square-law nonlinearities

    Volume 8, Issue 5

    669 -- 691Jian Yang, Adam Reeves. Bottom-up visual image processing probed with weighted hermite polynomials
    693 -- 706Pierre Chauvet, Gilbert A. Chauvet. Mathematical conditions for adaptive control in Marr s model of the sensorimotor system
    707 -- 715Agus Sudjianto, Mohamad H. Hassoun. Statistical basis of nonlinear hebbian learning and application to clustering
    717 -- 727Filip Mulier, Vladimir Cherkassky. Statistical analysis of self-organization
    729 -- 743James C. Bezdek, Nikhil R. Pal. Two soft relatives of learning vector quantization
    745 -- 750Vera Kurvoká. Approximation of functions by perceptron networks with bounded number of hidden units
    751 -- 755Gustavo Deco, Dragan Obradovic. Linear redundancy reduction learning
    757 -- 767Bertrand G. Giraud, Alan S. Lapedes, Lon Chang Liu, Jörg C. Lemm. Lorentzian neural nets
    769 -- 781Hojjat Adeli, Hyo Seon Park. Optimization of space structures by neural dynamics
    783 -- 792Seong-Whan Lee. Multilayer cluster neural network for totally unconstrained handwritten numeral recognition
    793 -- 804Mark W. Goudreau, C. Lee Giles. Using recurrent neural networks to learn the structure of interconnection networks
    805 -- 813Jesús Manuel de la Cruz, Gonzalo Pajares, Joaquín Aranda Almansa. A Neural Network model in stereovision matching
    815 -- 820Lorenzo Moreno, José D. Piñeiro, José L. Sánchez, Soledad Mañas, Juan J. Merino, Leopoldo Acosta, Alberto F. Hamilton. Using neural networks to improve classification: Application to brain maturation
    821 -- 827Zheru Chi, Hong Yan. Handwritten numeral recognition using a small number of fuzzy rules with optimized defuzzification parameters

    Volume 8, Issue 4

    503 -- 512Richard S. Zemel, Christopher K. I. Williams, Michael Mozer. Lending direction to neural networks
    513 -- 523Bernd-Jürgen Falkowski. Probabilistic perceptrons
    525 -- 535Gustavo Deco, Wilfried Brauer. Nonlinear higher-order statistical decorrelation by volume-conserving neural architectures
    537 -- 548Hilbert J. Kappen. Deterministic learning rules for boltzmann machines
    549 -- 562Juha Karhunen, Jyrki Joutsensalo. Generalizations of principal component analysis, optimization problems, and neural networks
    563 -- 569Ramana Vitthal, P. Sunthar, Ch. Durgaprasada Rao. The generalized proportional-integral-derivative (PID) gradient descent back propagation algorithm
    571 -- 577Paul L. Springer, Sandeep Gulati. Parallelizing the cascade-correlation algorithm using time warp
    579 -- 596Simone Santini, Alberto Del Bimbo. Properties of block feedback neural networks
    597 -- 603Roelof K. Brouwer. A method for training recurrent neural networks for classification by building basins of attraction
    605 -- 618Cheng-An Hung, Sheng-Fuu Lin. Adaptive hamming net: A fast-learning ART 1 model without searching
    619 -- 641Shaun Marriott, Robert F. Harrison. A modified fuzzy ARTMAP architecture for the approximation of noisy mappings
    643 -- 657Jayanta Basak, Nikhil R. Pal, Sankar K. Pal. A connectionist system for learning and recognition of structures: Application to handwritten characters
    659 -- 0Jagesh V. Shah, Chi-Sang Poon. Observations on characterization of training errors in supervised learning using gradient-based rules
    660 -- 0Jun Wang, Behnam Malakooti. Author s response

    Volume 8, Issue 3

    335 -- 362Jonathan A. Marshall. Adaptive perceptual pattern recognition by self-organizing neural networks: Context, uncertainty, multiplicity, and scale
    363 -- 373Hiroshi Yamakawa, Yoichi Okabe. A neural network-like critic for reinforcement learning
    375 -- 385Lucas C. Parra, Gustavo Deco. Continuous Boltzmann machine with rotor neurons
    387 -- 390Andreas Wendemuth. Stabilities in optimal cluster separation networks
    391 -- 404Tomoki Fukai, Jongho Kim, Masatoshi Shiino. Retrieval properties of analog neural networks and the nonmonotonicity of transfer functions
    405 -- 410Alan M. N. Fu, Hong Yan. Distributive properties of main overlap and noise terms in Autoassociative Memory Networks
    411 -- 419Kiyotoshi Matsuoka, Masahiro Ohoya, Mitsuru Kawamoto. A neural net for blind separation of nonstationary signals
    421 -- 429Frank Pasemann. Characterization of periodic attractors in neural ring networks
    431 -- 436Thomas Schnelle. Local fields in optimal perceptrons with correlated patterns
    437 -- 446. Adaptive resonance associative map
    447 -- 461Daw-Tung Lin, Judith E. Dayhoff, Panos A. Ligomenides. Trajectory production with the adaptive time-delay neural network
    463 -- 480James M. Missler, Farhad Kamangar. A neural network for pursuit tracking inspired by the fly visual system
    481 -- 488A. Ravichandran, B. Yegnanarayana. Studies on object recognition from degraded images using neural networks
    489 -- 0Kevin N. Gurney. Letter to the editor
    491 -- 0Trevor G. Clarkson, John G. Taylor, Denise Gorse. Response to letter by K. Gurney

    Volume 8, Issue 2

    167 -- 177Kouichirou Yamauchi, Megumu Fukuda, Kunihiko Fukushima. Speed invariant speech recognition using variable velocity delay lines
    179 -- 201Asim Roy, Sandeep Govil, Raymond Miranda. An algorithm to generate radial basis function (RBF)-like nets for classification problems
    203 -- 213Juxin Huang, Michael Georgiopoulos, Gregory L. Heileman. Fuzzy ART properties
    215 -- 219Yong Liu. Unbiased estimate of generalization error and model selection in neural network
    221 -- 228Bo Zhang, Ling Zhang, Huai Zhang. The complexity of learning in PLN networks
    229 -- 236Atsushi Hiroike, Takashi Omori. Noise-induced order in the randomly asymmetric Hopfield model
    237 -- 249Stavros J. Perantonis, Dimitris A. Karras. An efficient constrained learning algorithm with momentum acceleration
    251 -- 259Yutaka Maeda, Hiroaki Hirano, Yakichi Kanata. A learning rule of neural networks via simultaneous perturbation and its hardware implementation
    261 -- 271Jirí Síma. Neural expert systems
    273 -- 290Stephen A. Billings, Chi F. Fling. Recurrent radial basis function networks for adaptive noise cancellation
    291 -- 311Klaus A. Gernoth, John W. Clark. Neural networks that learn to predict probabilities: Global models of nuclear stability and decay
    313 -- 319Carl-Fredrik Bassøe. Automated diagnoses from clinical narratives: A medical system based on computerized medical records, natural language processing, and neural network technology

    Volume 8, Issue 1

    1 -- 9Martti Juhola, Antti Vauhkonen, Matti Laine. Simulation of aphasic naming errors in finnish language with neural networks
    11 -- 23Mark D. Plumbley. Lyapunov functions for convergence of principal component algorithms
    25 -- 29Simone Santini, Alberto Del Bimbo. Recurrent neural networks can be trained to be maximum a posteriori probability classifiers
    31 -- 37Jonathan Wray, Gary G. R. Green. Neural networks, approximation theory, and finite precision computation
    39 -- 54N. Alberto Borghese, Michael A. Arbib. Generation of temporal sequences using local dynamic programming
    55 -- 65Stephen L. Thaler. Virtual input phenomena within the death of a simple pattern associator
    67 -- 86Jean Koh, Minsoo Suk, Suchendra M. Bhandarkar. A multilayer self-organizing feature map for range image segmentation
    87 -- 101Haruo Kobayashi, Takashi Matsumoto, Tetsuya Yagi, Koji Tanaka. Light-adaptive architectures for regularization vision chips
    103 -- 123Eduardo Zalama Casanova, Paolo Gaudiano, Juan López Coronado. A real-time, unsupervised neural network for the low-level control of a mobile robot in a nonstationary environment
    125 -- 133Roy Glasius, Andrzej Komoda, Stan C. A. M. Gielen. Neural Network Dynamics for Path Planning and Obstacle Avoidance
    135 -- 147Simone Santini, Alberto Del Bimbo, Ramesh Jain. Block-structured recurrent neural networks
    149 -- 160Itiel E. Dror, Mark Zagaeski, Cynthia F. Moss. Three-Dimensional target recognition via sonar: A neural network model
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