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, Paolo Gaudiano, Juan López Coronado:
  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, Ramesh Jain:
  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, Jongho Kim, Masatoshi Shiino:
  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, Ch. Durgaprasada Rao:
  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 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 Kurvoká:
  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, Gonzalo Pajares, Joaquín Aranda Almansa:
  A Neural Network model in stereovision matching. 805-813
  
• Lorenzo 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. 815-820
  
• Zheru Chi, Hong Yan:
  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, T. 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, Özcan Özdamar, Ah Chung Tsoi, Dhanjoo N. Ghista:
  Efficacy of modified backpropagation and optimisation methods on a real-world medical problem. 945-962
  
• G. Cammarata, Salvatore Cavalieri, A. Fichera:
  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 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, James R. Williamson:
  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 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, 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. 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, Jyh-Shyan Lin, Huai Li, Matthew T. Freedman, Seong K. Mun:
  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 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, Bill G. Horne, Tsungnan Lin:
  Learning a class of large finite state machines with a recurrent neural network. 1359-1365
  
• Danil V. Prokhorov, Roberto A. Santiago, Donald C. Wunsch II:
  Adaptive critic designs: A case study for neurocontrol. 1367-1372
  
• Bart Truyen, Jan Cornelis:
  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 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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