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Neural Networks, Volume 8
Volume 8, Number 1, 1995
- Martti Juhola, Antti Vauhkonen, Matti Laine:
Simulation of aphasic naming errors in finnish language with neural networks. 1-9 - Mark D. Plumbley
:
Lyapunov functions for convergence of principal component algorithms. 11-23 - Simone Santini, Alberto Del Bimbo
Recurrent neural networks can be trained to be maximum a posteriori probability classifiers. 25-29 - Jonathan Wray, Gary G. R. Green:
Neural networks, approximation theory, and finite precision computation. 31-37 - N. Alberto Borghese, Michael A. Arbib:
Generation of temporal sequences using local dynamic programming. 39-54 - Stephen L. Thaler:
"Virtual input" phenomena within the death of a simple pattern associator. 55-65 - Jean Koh, Minsoo Suk, Suchendra M. Bhandarkar:
A multilayer self-organizing feature map for range image segmentation. 67-86 - Haruo Kobayashi, Takashi Matsumoto, Tetsuya Yagi, Koji Tanaka:
Light-adaptive architectures for regularization vision chips. 87-101 - Eduardo Zalama Casanova
A real-time, unsupervised neural network for the low-level control of a mobile robot in a nonstationary environment. 103-123 - Roy Glasius, Andrzej Komoda, Stan C. A. M. Gielen:
Neural Network Dynamics for Path Planning and Obstacle Avoidance. 125-133 - Simone Santini, Alberto Del Bimbo
Block-structured recurrent neural networks. 135-147 - Itiel E. Dror, Mark Zagaeski, Cynthia F. Moss
Three-Dimensional target recognition via sonar: A neural network model. 149-160
Volume 8, Number 2, 1995
- Kouichirou Yamauchi, Megumu Fukuda, Kunihiko Fukushima:
Speed invariant speech recognition using variable velocity delay lines. 167-177 - Asim Roy, Sandeep Govil, Raymond Miranda:
An algorithm to generate radial basis function (RBF)-like nets for classification problems. 179-201 - Juxin Huang, Michael Georgiopoulos, Gregory L. Heileman:
Fuzzy ART properties. 203-213 - Yong Liu:
Unbiased estimate of generalization error and model selection in neural network. 215-219 - Bo Zhang, Ling Zhang, Huai Zhang:
The complexity of learning in PLN networks. 221-228 - Atsushi Hiroike, Takashi Omori:
Noise-induced order in the randomly asymmetric Hopfield model. 229-236 - Stavros J. Perantonis, Dimitris A. Karras
An efficient constrained learning algorithm with momentum acceleration. 237-249 - Yutaka Maeda, Hiroaki Hirano, Yakichi Kanata:
A learning rule of neural networks via simultaneous perturbation and its hardware implementation. 251-259 - Jirí Síma:
Neural expert systems. 261-271 - Stephen A. Billings, Chi F. Fling:
Recurrent radial basis function networks for adaptive noise cancellation. 273-290 - Klaus A. Gernoth, John W. Clark:
Neural networks that learn to predict probabilities: Global models of nuclear stability and decay. 291-311 - Carl-Fredrik Bassøe:
Automated diagnoses from clinical narratives: A medical system based on computerized medical records, natural language processing, and neural network technology. 313-319
Volume 8, Number 3, 1995
- Jonathan A. Marshall:
Adaptive perceptual pattern recognition by self-organizing neural networks: Context, uncertainty, multiplicity, and scale. 335-362 - Hiroshi Yamakawa, Yoichi Okabe:
A neural network-like critic for reinforcement learning. 363-373 - Lucas C. Parra, Gustavo Deco:
Continuous Boltzmann machine with rotor neurons. 375-385 - Andreas Wendemuth:
Stabilities in optimal cluster separation networks. 387-390 - Tomoki Fukai
Retrieval properties of analog neural networks and the nonmonotonicity of transfer functions. 391-404 - Alan M. N. Fu, Hong Yan
Distributive properties of main overlap and noise terms in Autoassociative Memory Networks. 405-410 - Kiyotoshi Matsuoka, Masahiro Ohoya, Mitsuru Kawamoto:
A neural net for blind separation of nonstationary signals. 411-419 - Frank Pasemann:
Characterization of periodic attractors in neural ring networks. 421-429 - Thomas Schnelle:
Local fields in optimal perceptrons with correlated patterns. 431-436 - Ah-Hwee Tan
Adaptive resonance associative map. 437-446 - Daw-Tung Lin, Judith E. Dayhoff, Panos A. Ligomenides:
Trajectory production with the adaptive time-delay neural network. 447-461 - James M. Missler, Farhad Kamangar:
A neural network for pursuit tracking inspired by the fly visual system. 463-480 - A. Ravichandran, B. Yegnanarayana:
Studies on object recognition from degraded images using neural networks. 481-488 - Kevin N. Gurney:
Letter to the editor. 489- - Trevor G. Clarkson, John G. Taylor, Denise Gorse:
Response to letter by K. Gurney. 491-
Volume 8, Number 4, 1995
- Richard S. Zemel, Christopher K. I. Williams, Michael Mozer:
Lending direction to neural networks. 503-512 - Bernd-Jürgen Falkowski:
Probabilistic perceptrons. 513-523 - Gustavo Deco, Wilfried Brauer:
Nonlinear higher-order statistical decorrelation by volume-conserving neural architectures. 525-535 - Hilbert J. Kappen:
Deterministic learning rules for boltzmann machines. 537-548 - Juha Karhunen, Jyrki Joutsensalo:
Generalizations of principal component analysis, optimization problems, and neural networks. 549-562 - Ramana Vitthal, P. Sunthar
The generalized proportional-integral-derivative (PID) gradient descent back propagation algorithm. 563-569 - Paul L. Springer, Sandeep Gulati:
Parallelizing the cascade-correlation algorithm using time warp. 571-577 - Simone Santini, Alberto Del Bimbo
Properties of block feedback neural networks. 579-596 - Roelof K. Brouwer:
A method for training recurrent neural networks for classification by building basins of attraction. 597-603 - Cheng-An Hung, Sheng-Fuu Lin:
Adaptive hamming net: A fast-learning ART 1 model without searching. 605-618 - Shaun Marriott, Robert F. Harrison
A modified fuzzy ARTMAP architecture for the approximation of noisy mappings. 619-641 - Jayanta Basak, Nikhil R. Pal, Sankar K. Pal:
A connectionist system for learning and recognition of structures: Application to handwritten characters. 643-657 - Jagesh V. Shah, Chi-Sang Poon:
Observations on characterization of training errors in supervised learning using gradient-based rules. 659- - Jun Wang, Behnam Malakooti:
Author's response. 660-
Volume 8, Number 5, 1995
- Jian Yang, Adam J. Reeves:
Bottom-up visual image processing probed with weighted hermite polynomials. 669-691 - Pierre Chauvet, Gilbert A. Chauvet:
Mathematical conditions for adaptive control in Marr's model of the sensorimotor system. 693-706 - Agus Sudjianto, Mohamad H. Hassoun:
Statistical basis of nonlinear hebbian learning and application to clustering. 707-715 - Filip Mulier, Vladimir Cherkassky:
Statistical analysis of self-organization. 717-727 - James C. Bezdek, Nikhil R. Pal:
Two soft relatives of learning vector quantization. 729-743 - Vera Kurková
Approximation of functions by perceptron networks with bounded number of hidden units. 745-750 - Gustavo Deco, Dragan Obradovic:
Linear redundancy reduction learning. 751-755 - Bertrand Giraud, Alan S. Lapedes, Lon Chang Liu, Jörg C. Lemm:
Lorentzian neural nets. 757-767 - Hojjat Adeli, Hyo Seon Park:
Optimization of space structures by neural dynamics. 769-781 - Seong-Whan Lee:
Multilayer cluster neural network for totally unconstrained handwritten numeral recognition. 783-792 - Mark W. Goudreau, C. Lee Giles
Using recurrent neural networks to learn the structure of interconnection networks. 793-804 - Jesús Manuel de la Cruz
A Neural Network model in stereovision matching. 805-813 - Lorenzo Moreno Ruiz, José D. Piñeiro, José L. Sánchez, Soledad Mañas, Juan J. Merino, Leopoldo Acosta
Using neural networks to improve classification: Application to brain maturation. 815-820 - Zheru Chi
Handwritten numeral recognition using a small number of fuzzy rules with optimized defuzzification parameters. 821-827
Volume 8, Number 6, 1995
- Masato Okada:
A hierarchy of macrodynamical equations for associative memory. 833-838 - Yoji Uno, Naohiro Fukumura, Ryoji Suzuki, Mitsuo Kawato:
A computational model for recognizing objects and planning hand shapes in grasping movements. 839-851 - H. Chris Tseng, Dragoslav D. Siljak:
A learning scheme for dynamic neural networks: Equilibrium manifold and connective stability. 853-864 - Frank E. McFadden:
Convergence of competitive activation models based on virtual lateral inhibition. 865-875 - Stephen A. Billings, Guang L. Zheng:
Radial basis function network configuration using genetic algorithms. 877-890 - Dominique Martinez, Marc M. Van Hulle:
Generalized boundary adaptation rule for minimizing rth power law distortion in high resolution quantization. 891-900 - R. J. Gaynier, Tom Downs:
Sinusoidal and monotonic transfer functions: Implications for VC dimension. 901-904 - Ralph D. Mason, William Robertson:
Mapping hierarchical neural networks to VLSI hardware. 905-913 - Luonan Chen, Kazuyuki Aihara:
Chaotic simulated annealing by a neural network model with transient chaos. 915-930 - S. D. Hunt, John R. Deller Jr.:
Selective training of feedforward artificial neural networks using matrix perturbation theory. 931-944 - Dogan Alpsan, Michael Towsey
Efficacy of modified backpropagation and optimisation methods on a real-world medical problem. 945-962 - Giuliano Cammarata
A neural network architecture for noise prediction. 963-973 - P. P. Raghu, R. Poongodi, B. Yegnanarayana:
A combined neural network approach for texture classification. 975-987 - David P. Casasent, Sanjay Natarajan:
A classifier neural net with complex-valued weights and square-law nonlinearities. 989-998
Volume 8, Number 7-8, 1995
- Stephen Grossberg, Harold Hawkins, Allen M. Waxman:
Introduction: 1995 special issue automatic target recognition. 1003- - Stephen Grossberg, Ennio Mingolla
Synthetic aperture radar processing by a multiple scale neural system for boundary and surface representation. 1005-1028 - Allen 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. 1029-1051 - Gary R. Bradski, Stephen Grossberg:
Fast-learning VIEWNET architectures for recognizing three-dimensional objects from multiple two-dimensional views. 1053-1080 - Mark 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. 1081-1102 - Ann Marie Bernardon, James E. Carrick:
A neural system for automatic target learning and recognition applied to bare and camouflaged SAR targets. 1103-1108 - Mark A. Rubin:
Application of fuzzy ARTMAP and ART-EMAP to automatic target recognition using radar range profiles. 1109-1116 - David P. Casasent, Leonard M. Neiberg:
Classifier and shift-invariant automatic target recognition neural networks. 1117-1129 - John W. Fisher III, José Carlos Príncipe:
A nonlinear extension of the MACE filter. 1131-1141 - Paul Sajda, Clay Spence, Steven C. Hsu, John C. Pearson:
Integrating neural networks with image pyramids to learn target context. 1143-1152 - Steven K. Rogers, John M. Colombi
Neural networks for automatic target recognition. 1153-1184 - Leonid I. Perlovsky, Julian A. Chernick, William H. Schoendorf:
Multi-sensor ATR and identification of friend or foe using MLANS. 1185-1200 - Shih-Chung Ben Lo, Heang-Ping Chan
Artificial convolution neural network for medical image pattern recognition. 1201-1214 - Terrance L. Huntsberger:
Biologically motivated cross-modality sensory fusion system for automatic target recognition. 1215-1226 - Sivasubramaniam Ramanan, Rasmus S. Petersen, Trevor G. Clarkson, John G. Taylor:
pRAM nets for detection of small targets in sequences of infra-red images. 1227-1237 - James 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. 1239-1261 - Herbert L. Roitblat, Whitlow W. L. Au, Paul E. Nachtigall, Reid H. Shizumura, Gerald C. Moons:
Sonar recognition of targets embedded in sediment. 1263-1273 - Richard A. Altes:
Signal processing for target recognition in biosonar. 1275-1295 - Eric L. Schwartz, Douglas N. Greve, Giorgio Bonmassar:
Space-variant active vision: Definition, overview and examples. 1297-1308 - Robert Hecht-Nielsen, Yi-Tong Zhou:
VARTAC: A foveal active vision ATR system. 1309-1321 - Andreas G. Andreou, Richard C. Meitzler, Kim Strohbehn, Kwabena A. Boahen:
Analog VLSI neuromorphic image acquisition and pre-processing systems. 1323-1347 - David K. Andes, James C. Witham, Michael D. Miles:
MAVIS: A special purpose neural computational system for ATR. 1349-1358
Volume 8, Number 9, 1995
- C. Lee Giles
Learning a class of large finite state machines with a recurrent neural network. 1359-1365 - Danil V. Prokhorov
Adaptive critic designs: A case study for neurocontrol. 1367-1372 - Bart Truyen
Adiabatic layering: A new concept of hierarchical multi-scale optimization. 1373-1378 - Shun-ichi Amari:
Information geometry of the EM and em algorithms for neural networks. 1379-1408 - Michael I. Jordan, Lei Xu:
Convergence results for the EM approach to mixtures of experts architectures. 1409-1431 - Margarita Kuzmina:
The recalling process dynamics of associative memory neural networks in macrodynamical approach. 1433-1438 - Soheil Shams:
Multiple elastic modules for visual pattern recognition. 1439-1453 - Paul D. Gader, Joseph R. Miramonti, Yonggwan Won, Patrick C. Coffield:
Segmentation free shared weight networks for automatic vehicle detection. 1457-1473 - Heggere S. Ranganath, Derek E. Kerstetter, S. Richard F. Sims:
Self partitioning neural networks for target recognition. 1475-1486
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