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ORCIDNeural Networks, Volume 10
Volume 10, Number 1, January 1997
- Allen M. Waxman, Alan N. Gove, David A. Fay, Joseph P. Racamato, James E. Carrick, Michael Seibert, Eugene D. Savoye:
Color Night Vision: Opponent Processing in the Fusion of Visible and IR Imagery. 1-6 - Vivek Anumolu, Norman W. Bray, Kevin D. Reilly:
Neural Network Models of Strategy Development in Children. 7-24 - Jinwen Ma:
Simplex Memory Neural Networks. 25-29 - Athanasios Kehagias, Vassilios Petridis:
Predictive Modular Neural Networks for Time Series Classification. 31-49 - Barak Cohen, David Saad, Emanuel Marom:
Efficient Training of Recurrent Neural Network with Time Delays. 51-59 - Charles W. Lee:
Training Feedforward Neural Networks: An Algorithm Giving Improved Generalization. 61-68 - George D. Magoulas
, Michael N. Vrahatis, George S. Androulakis:
Effective Backpropagation Training with Variable Stepsize. 69-82 - Masaharu Adachi, Kazuyuki Aihara:
Associative Dynamics in a Chaotic Neural Network. 83-98 - Assaf J. Zeevi, Ronny Meir:
Density Estimation Through Convex Combinations of Densities: Approximation and Estimation Bounds. 99-109 - Jong-Chen Chen, Michael Conrad:
Pattern Categorization and Generalization with a Virtual Neuromolecular Architecture. 111-123 - Renzo Perfetti, Emanuele Massarelli:
Training Spatially Homogeneous Fully Recurrent Neural Networks in Eigenvalue Space. 125-137 - Ryan G. Rosandich:
HAVNET: A New Neural Network Architecture for Pattern Recognition. 139-151 - Jun Tani, Naohiro Fukumura:
Self-organizing Internal Representation in Learning of Navigation: A Physical Experiment by the Mobile Robot YAMABICO. 153-159 - Kumar S. Ray, Jayati Ghoshal:
Neuro Fuzzy Approach to Pattern Recognition. 161-182 - Jia Wang, Zhenyuan Wang:
Using Neural Networks to Determine Sugeno Measures by Statistics. 183-195
Volume 10, Number 2, March 1997
- Valentin Dragoi:
A Dynamic Theory of Acquisition and Extinction in Operant Learning. 201-229 - Robert A. Jacobs, Fengchun Peng, Martin A. Tanner:
A Bayesian Approach to Model Selection in Hierarchical Mixtures-of-Experts Architectures. 231-241 - Sheng Ma, Chuanyi Ji, James Farmer:
An Efficient EM-based Training Algorithm for Feedforward Neural Networks. 243-256 - Colin Fyfe:
A Comparative Study of Two Neural Methods of Exploratory Projection Pursuit. 257-262 - Mattias Ohlsson, Hong Pi:
A Study of the Mean Field Approach to Knapsack Problems. 263-271 - Victor Likhovidov:
Variational Approach to Unsupervised Learning Algorithms of Neural Networks. 273-289 - Fa-Long Luo, Rolf Unbehauen, Andrzej Cichocki:
A Minor Component Analysis Algorithm. 291-297 - Elias B. Kosmatopoulos, Manolis A. Christodoulou, Petros A. Ioannou:
Dynamical Neural Networks that Ensure Exponential Identification Error Convergence. 299-314 - Neil A. Thacker, Ian Abraham, Patrick Courtney:
Supervised Learning Extensions to the CLAM Network. 315-326 - Michel Cosnard, Eric Goles Ch.:
Discrete State Neural Networks and Energies. 327-334 - Paolo Arena, Luigi Fortuna, Giovanni Muscato, Maria Gabriella Xibilia:
Multilayer Perceptrons to Approximate Quaternion Valued Functions. 335-342 - Denise Gorse, Adrian J. Shepherd, John G. Taylor:
The New ERA in Supervised Learning. 343-352 - Syozo Yasui:
Convergence Suppression and Divergence Facilitation: Minimum and Joint Use of Hidden Units by Multiple Outputs. 353-367 - Thomas Elsken:
Even on Finite Test Sets Smaller Nets may Perform Better. 369-385
Volume 10, Number 3, April 1997
- Alessandro Sperduti:
On the Computational Power of Recurrent Neural Networks for Structures. 395-400 - Gustavo Deco, Ralph Neuneier, Bernd Schürmann:
Non-parametric Data Selection for Neural Learning in Non-stationary Time Series. 401-407 - Matthias Blume, Sadik C. Esener:
An Efficient Mapping of Fuzzy ART onto a Neural Architecture. 409-411 - Tatsuo Kitajima, Ken-ichi Hara:
An Integrated Model for Activity-dependent Synaptic Modifications. 413-421 - Yasuhiro Sagawa:
A Function of Neural Networks Generating End- and Side-inhibition in the Primary Visual Cortex. 423-429 - Marc M. Van Hulle:
Topology-preserving Map Formation Achieved with a Purely Local Unsupervised Competitive Learning Rule. 431-446 - David A. Sprecher:
A Numerical Implementation of Kolmogorov's Superpositions II. 447-457 - V. Srinivasa Chakravarthy, Joydeep Ghosh:
Function Emulation Using Radial Basis Function Networks. 459-478 - Dirk Husmeier, John G. Taylor:
Predicting Conditional Probability Densities of Stationary Stochastic Time Series. 479-497 - Philippe De Wilde:
The Magnitude of the Diagonal Elements in Neural Networks. 499-504 - Christian Schittenkopf, Gustavo Deco, Wilfried Brauer:
Two Strategies to Avoid Overfitting in Feedforward Networks. 505-516 - Xiao-Hu Yu, Guo-An Chen:
Efficient Backpropagation Learning Using Optimal Learning Rate and Momentum. 517-527 - Roelof K. Brouwer:
Automatic Growing of a Hopfield Style Network During Training for Classification. 529-537 - Behnam S. Arad, Ahmed El-Amawy:
On Fault Tolerant Training of Feedforward Neural Networks. 539-553 - Maria Alberta Alberti, Alberto Bertoni, Paola Campadelli, Giuliano Grossi, Roberto Posenato:
A Neural Algorithm for MAX-2SAT: Performance Analysis and Circuit Implementation. 555-560 - P. P. Raghu, B. Yegnanarayana:
Multispectral Image Classification Using Gabor Filters and Stochastic Relaxation Neural Network. 561-572 - Yi Cheng, Thomas W. Karjala, David M. Himmelblau:
Closed Loop Nonlinear Process Identification Using Internally Recurrent Nets. 573-586
Volume 10, Number 4, June 1997
- Christian Mazza:
On the Storage Capacity of Nonlinear Neural Networks. 593-597 - Sherif Hashem:
Optimal Linear Combinations of Neural Networks. 599-614 - Johan A. K. Suykens, Bart De Moor, Joos Vandewalle:
NLq Theory: A Neural Control Framework with Global Asymptotic Stability Criteria. 615-637 - V. W. Noonburg:
Threshold-dependent Limit Cycles in a Nonlinear Network Model. 639-648 - Maartje E. J. Raijmakers, Peter C. M. Molenaar:
Exact ART: A Complete Implementation of an ART Network. 649-669 - David D. Vogel, William Boos:
Sparsely Connected, Hebbian Networks with Strikingly Large Storage Capacities. 671-682 - Gustavo Deco, Lucas C. Parra:
Non-linear Feature Extraction by Redundancy Reduction in an Unsupervised Stochastic Neural Network. 683-691 - Jean-François Leber, Andreas Jarosch:
OpenSim: A Flexible Distributed Neural Network Simulator with Automatic Interactive Graphics. 693-703 - Jianfeng Feng, Hong Pan, Vwani P. Roychowdhury:
Linsker-type Hebbian Learning: A Qualitative Analysis on the Parameter Space. 705-720 - Javier E. Vitela, Jaques Reifman:
Premature Saturation in Backpropagation Networks: Mechanism and Necessary Conditions. 721-735 - Chin-Der Wann, Stelios C. A. Thomopoulos:
A Comparative Study of Self-organizing Clustering Algorithms Dignet and ART2. 737-753 - Chee Peng Lim, Robert F. Harrison:
Modified Fuzzy ARTMAP Approaches Bayes Optimal Classification Rates: An Empirical Demonstration. 755-774
Volume 10, Number 5, July 1997
- Irwin W. Sandberg, Lilian Xu:
Uniform Approximation and Gamma Networks. 781-784 - Vladimir I. Makarenko, John P. Welsh, Eric J. Lang, Rodolfo R. Llinás:
A New Approach to the Analysis of Multidimensional Neuronal Activity: Markov Random Fields. 785-789 - Edgar Körner, Hiroshi Tsujino, Tomohiko Masutani:
A Cortical-type Modular Neural Network for Hypothetical Reasoning. 791-814 - Bruce Fischl, Michael A. Cohen, Eric L. Schwartz:
The Local Structure of Space-variant Images. 815-831 - Hideki Kakeya, Toshiki Kindo:
Eigenspace Separation of Autocorrelation Memory Matrices for Capacity Expansion. 833-843 - Alexander A. Frolov, Dusan Húsek, Igor P. Muraviev:
Informational Capacity and Recall Quality in Sparsely Encoded Hopfield-like Neural Network: Analytical Approaches and Computer Simulation. 845-855 - Jürgen Schmidhuber:
Discovering Neural Nets with Low Kolmogorov Complexity and High Generalization Capability. 857-873 - John A. Flanagan:
Analysing a Self-organising Algorithm. 875-883 - Lutz Prechelt:
Investigation of the CasCor Family of Learning Algorithms. 885-896 - Xiaodong Tian, Anthony Kuh:
Performance Bounds for Single Layer Threshold Networks when Tracking a Drifting Adversary. 897-906 - Charles L. Wilson, James L. Blue, Omid M. Omidvar:
Training Dynamics and Neural Network Performance. 907-923 - Chee Peng Lim, Robert F. Harrison:
An Incremental Adaptive Network for On-line Supervised Learning and Probability Estimation. 925-939 - Shin Ishii, Masa-aki Sato:
Chaotic Potts Spin Model for Combinatorial Optimization Problems. 941-963
Volume 10, Number 6, August 1997
- Kunihiko Fukushima, Yoshio Yamaguchi, Masato Okada:
Neural Network Model of Spatial Memory: Associative Recall of Maps. 971-979 - Piërre van de Laar, Tom Heskes, Stan C. A. M. Gielen:
Task-Dependent Learning of Attention. 981-992 - Eric O. Postma, H. Jaap van den Herik, Patrick T. W. Hudson:
SCAN: A Scalable Model of Attentional Selection. 993-1015 - Mark Moll, Risto Miikkulainen:
Convergence-Zone Episodic Memory: Analysis and Simulations. 1017-1036 - Miguel A. Andrade, Federico Morán:
Receptive Field Map Development by Anti-Hebbian Learning. 1037-1052 - Cyril Goutte, Lars Kai Hansen:
Regularization with a Pruning Prior. 1053-1059 - Vera Kurková, Paul C. Kainen, Vladik Kreinovich:
Estimates of the Number of Hidden Units and Variation with Respect to Half-Spaces. 1061-1068 - Jean-Gabriel Attali, Gilles Pagès:
Approximations of Functions by a Multilayer Perceptron: a New Approach. 1069-1081 - Roberto Odorico:
Learning Vector Quantization with Training Count (LVQTC). 1083-1088 - Hanzhong Gu, Haruhisa Takahashi:
Estimating Learning Curves of Concept Learning. 1089-1102 - Kazuo Yamanaka, Masahiro Agu, Teruyuki Miyajima:
A Continuous-Time Asynchronous Boltzmann Machine. 1103-1107 - Jinwen Ma:
The Stability of the Generalized Hopfield Networks in Randomly Asynchronous Mode. 1109-1116 - Michael Paul Gough:
Associative List Memory. 1117-1131 - Chuanyi Ji, Demetri Psaltis:
Network Synthesis through Data-Driven Growth and Decay. 1133-1141 - Michele Zamparelli:
Genetically Trained Cellular Neural Networks. 1143-1151 - Miroslaw Galicki, Herbert Witte, Jens Dörschel, Michael Eiselt, Gert Grießbach:
Common Optimization of Adaptive Preprocessing Units and a Neural Network during the Learning Period. Application in EEG Pattern Recognition. 1153-1163
Volume 10, Number 7, October 1997
- Walter J. Freeman:
Three Centuries of Category Errors in Studies of the Neural Basis of Consciousness and Intentionality. 1175-1183 - John G. Taylor, Hans-W. Müller-Gärtner:
Non-Invasive Analysis of Awareness. 1185-1194 - James Newman, Bernard J. Baars, Sung-Bae Cho:
A Neural Global Workspace Model for Conscious Attention. 1195-1206 - John G. Taylor:
Neural networks for consciousness. 1207-1225 - Edmund T. Rolls:
Consciousness in Neural Networks? 1227-1240 - Erich Harth:
From Brains to Neural Nets to Brains. 1241-1255 - Jeffrey A. Gray, Catalin V. Buhusi, Nestor A. Schmajuk:
The Transition from Automatic to Controlled Processing. 1257-1268 - Javier Ropero Peláez:
Plato's theory of ideas revisited. 1269-1288 - Mitsuyuki Nakao, Iwao Honda, Miroslav Musila, Mitsuaki Yamamoto:
Metastable associative network models of dream sleep. 1289-1302 - Chris Browne, Richard G. Evans, Nick J. Sales, Igor Aleksander:
Consciousness and neural cognizers: a review of some recent approaches. 1303-1316 - Ron Sun:
Learning, action and consciousness: a hybrid approach toward modelling consciousness. 1317-1331 - Robert Alan Brown:
Consciousness in a Self-Learning, Memory-Controlled, Compound Machine. 1333-1343
Volume 10, Number 8, November 1997
- Shun-ichi Amari, Tianping Chen, Andrzej Cichocki:
Stability Analysis of Learning Algorithms for Blind Source Separation. 1345-1351 - Masataka Watanabe, Kazuyuki Aihara:
Chaos in Neural Networks Composed of Coincidence Detector Neurons. 1353-1359 - Igor V. Tetko, Alessandro E. P. Villa:
Efficient Partition of Learning Data Sets for Neural Network Training. 1361-1374 - Osamu Hoshino, Noriaki Usuba, Yoshiki Kashimori, Takeshi Kambara:
Role of Itinerancy Among Attractors as Dynamical Map in Distributed Coding Scheme. 1375-1390 - Tohru Nitta:
An Extension of the Back-Propagation Algorithm to Complex Numbers. 1391-1415 - Adam Kowalczyk:
Estimates of Storage Capacity of Multilayer Perceptron with Threshold Logic Hidden Units. 1417-1433 - Fritz Stäger, Mukul Agarwal:
Three Methods to Speed up the Training of Feedforward and Feedback Perceptrons. 1435-1443 - Fouad Badran, Sylvie Thiria:
Neural Network Smoothing in Correlated Time Series Context. 1445-1453 - John J. McKeown, Fabio Stella, Gary Hall:
Some numerical aspects of the training problem for feed-forward neural nets. 1455-1463 - J. A. Dente, Rui Vilela Mendes:
Characteristic Functions and Process Identification by Neural Networks. 1465-1471 - Gail A. Carpenter:
Distributed Learning, Recognition, and Prediction by ART and ARTMAP Neural Networks. 1473-1494 - Young-Sup Hwang, Sung Yang Bang:
An Efficient Method to Construct a Radial Basis Function Neural Network Classifier. 1495-1503 - Hengchang Dai, Colin MacBeth:
Effects of Learning Parameters on Learning Procedure and Performance of a BPNN. 1505-1521 - Buyurman Baykal, Anthony G. Constantinides:
A Neural Approach to the Underdetermined-Order Recursive Least-Squares Adaptive Filtering. 1523-1531 - Michael Schmitt:
Proving Hardness of Neural Network Training Problems. 1533-1534
Volume 10, Number 9, December 1997
- Leonid I. Perlovsky, Charles P. Plum, Peter R. Franchi, Elihu J. Tichovolsky, David Choi, Bertus Weijers:
Einsteinian neural network for spectrum estimation. 1541-1546 - Guy J. Brown, DeLiang L. Wang:
Modelling the perceptual segregation of double vowels with a network of neural oscillators. 1547-1558 - Edmund T. Rolls, Alessandro Treves, David Foster, Conrado J. Pérez Vicente:
Simulation studies of the CA3 hippocampal subfield modelled as an attractor neural network. 1559-1569 - Roy Glasius, Andrzej Komoda, Stan C. A. M. Gielen:
The Population Vector, an unbiased estimator for non-uniformly distributed neural maps. 1571-1582 - Stephen Grossberg, Niall McLoughlin:
Cortical dynamics of three-dimensional surface perception: Binocular and half-occluded scenic images. 1583-1605 - Mark A. Girolami, Colin Fyfe:
An extended exploratory projection pursuit network with linear and nonlinear anti-hebbian lateral connections applied to the cocktail party problem. 1607-1618 - Peter Whittle:
Artificial memories: Capacity, basis rate and inference. 1619-1626 - Makoto Hirahara, Natsuki Oka, Toshiki Kindo:
Associative memory with a sparse encoding mechanism for storing correlated patterns. 1627-1636 - Mick Turner, Jim Austin:
Matching performance of binary correlation matrix memories. 1637-1648 - Koichi Niijima:
Learning of associative memory networks based upon cone-like domains of attraction. 1649-1658 - Wolfgang Maass:
Networks of spiking neurons: The third generation of neural network models. 1659-1671 - Isao T. Tokuda, Tomomasa Nagashima, Kazuyuki Aihara:
Global bifurcation structure of chaotic neural networks and its application to traveling salesman problems. 1673-1690 - Csaba Szepesvári, Szabolcs Cimmer, András Lörincz:
Neurocontroller using dynamic state feedback for compensatory control. 1691-1708 - Bruno Apolloni, Diego de Falco, John G. Taylor:
pRAM layout optimisation. 1709-1716 - Hee-Yeal Yu, Sung Yang Bang:
An improved time series prediction by applying the layer-by-layer learning method to FIR neural networks. 1717-1729 - Maria Marinaro, Salvatore Rampone, Roberto Tagliaferri:
Response to the letter by Li and Cao. 1731-1732
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