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
- 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
- Yong Liu: Unbiased estimate of generalization error and model selection in neural network. 215-219
- 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
- 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-
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
- 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-
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
- Vera Kurvoká: Approximation of functions by perceptron networks with bounded number of hidden units. 745-750
- 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
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
- 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
- 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
- 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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