Tables of Contents service for NEURAL NETWORKS

Volume 10, Issue 3, April 1998

Volume 10, Issue 2, March 1998

Volume 10, Issue 1, January 1998

Volume 10, Issue 9, December 1997

Volume 10, Issue 8, November 1997

Volume 10, Issue 7, October 1997

Volume 10, Issue 6, August 1997

Volume 10, Issue 5, July 1997

Volume 10, Issue 4, June 1997

Volume 10, Issue 3, April 1997

Volume 10, Issue 2, March 1997

Volume 10, S 2, March 1997, Inns/Enns/Jnns Newsletter, Supplement to vl 10 is 2 of Neural Networks

Volume 10, Issue 1, 1997

Volume 9, 1996

Volume 8, 1995

• On the Computational Power of Recurrent Neural Networks for Structures
  Sperduti, A.
  page 395-400
• Non-parametric Data Selection for Neural Learning in Non-stationary Time Series
  Deco, G., Neuneier, R. and Schurmann, B.
  page 401-407
• An Efficient Mapping of Fuzzy ART onto a Neural Architecture
  Blume, M. and Esener, S.C.
  page 409-411
• An Integrated Model for Activity-dependent Synaptic Modifications
  Kitajima, T. and Hara, K.
  page 413-421
• A Function of Neural Networks Generating End- and Side-inhibition in the Primary Visual Cortex
  Sagawa, Y.
  page 423-429
• Topology-preserving Map Formation Achieved with a Purely Local Unsupervised Competitive Learning Rule
  Van Hulle, M.M.
  page 431-446
• A Numerical Implementation of Kolmogorov's Superpositions II
  Sprecher, D.A.
  page 447-457
• Function Emulation Using Radial Basis Function Networks
  Chakravarthy, S.V. and Ghosh, J.
  page 459-478
• Predicting Conditional Probability Densities of Stationary Stochastic Time Series
  Husmeier, D. and Taylor, J.G.
  page 479-497
• The Magnitude of the Diagonal Elements in Neural Networks
  De Wilde, P.
  page 499-504
• Two Strategies to Avoid Overfitting in Feedforward Networks
  Schittenkopf, C., Deco, G. and Brauer, W.
  page 505-516
• Efficient Backpropagation Learning Using Optimal Learning Rate and Momentum
  Yu, X. and Chen, G.
  page 517-527
• Automatic Growing of a Hopfield Style Network During Training for Classification
  Brouwer, R.K.
  page 529-537
• On Fault Tolerant Training of Feedforward Neural Networks
  Arad, B.S. and El-Amawy, A.
  page 539-553
• A Neural Algorithm for MAX-2SAT: Performance Analysis and Circuit Implementation
  Alberti, M.A., Bertoni, A., Campadelli, P., Grossi, G. and Posenato, R.
  page 555-560
• Multispectral Image Classification using Gabor Filters and Stochastic Relaxation Neural Network
  Raghu, P.P. and Yegnanarayana, B.
  page 561-572
• Closed Loop Nonlinear Process Identification Using Internally Recurrent Nets
  Yi, C., Karjala, T.W. and Himmelblau, D.M.
  page 573-586
• Neural Representation of Temporal Patterns
  Fiala, J.C.
  page 587-588

• A Dynamic Theory of Acquisition and Extinction in Operant Learning
  Dragoi, V.
  page 201-229
• A Bayesian Approach to Model Selection in Hierarchical Mixtures-of-Experts Architectures
  Jacobs, R.A., Peng, F. and Tanner, M.A.
  page 231-241
• An Efficient EM-based Training Algorithm for Feedforward Neural Networks
  Sheng, M., Chuanyi, J. and Farmer, J.
  page 243-256
• A Comparative Study of Two Neural Methods of Exploratory Projection Pursuit
  Fyfe, C.
  page 257-262
• A Study of the Mean Field Approach to Knapsack Problems
  Ohlsson, M. and Pi, H.
  page 263-271
• Variational Approach to Unsupervised Learning Algorithms of Neural Networks
  Likhovidov, V.
  page 273-289
• A Minor Component Analysis Algorithm
  Luo, F., Unbehauen, R. and Cichocki, A.
  page 291-297
• Dynamical Neural Networks that Ensure Exponential Identification Error Convergence
  Kosmatopoulos, E.B., Christodoulou, M.A. and Ioannou, P.A.
  page 299-314
• Supervised Learning Extensions to the CLAM Network
  Thacker, N.A., Abraham, I. and Courtney, P.
  page 315-326
• Discrete State Neural Networks and Energies
  Cosnard, M. and Goles, E.
  page 327-334
• Multilayer Perceptrons to Approximate Quaternion Valued Functions
  Arena, P., Fortuna, L., Muscato, G. and Xibilia, M.G.
  page 335-342
• The New ERA in Supervised Learning
  Gorse, D., Shepherd, A.J. and Taylor, J.G.
  page 343-352
• Convergence Suppression and Divergence Facilitation: Minimum and Joint Use of Hidden Units by Multiple Outputs
  Yasui, S.
  page 353-367
• Even on Finite Test Sets Smaller Nets may Perform Better
  Elsken, T.
  page 369-385
• A Modified Learning Rule of the Neural Network for Error Correcting Decoding
  Lifang, L. and Zhigang, C.
  page 387-388
• Using Neural Networks to Determine Sugeno Measures by Statistics
  Jia, W. and Zhenyuan, W.
  page 389

• INNS Election Results
  page 1-2
• Update of Information about the International Conference on Neural Networks (ICNN'97)
  page 2-3
• Presidential Announcement by Dr. Shun-Ichi Amari of Action Taken by INNS Board of Governors
  page 3-4
• A Line-Following Robot With Intentional Visual Selection
  page 4-5
• About the Newsletter
  page 5

• The Ninth Anniversary of Neural Networks
  Grossberg, S., Kawato, M. and Taylor, J.G.
  page xi
• Color Night Vision: Opponent Processing in the Fusion of Visible and IR Imagery
  Waxman, A.M., Gove, A.N., Fay, D.A., Racamato, J.P., Carrick, J.E., Seibert, M.C. and Savoye, E.D.
  page 1-6
• Neural Network Models of Strategy Development in Children
  Anumolu, V., Bray, N.W. and Reilly, K.D.
  page 7-24
• Simplex Memory Neural Networks
  Jinwen, M.
  page 25-29
• Predictive Modular Neural Networks for Time Series Classification
  Kehagias, Ath. and Petridis, Vas.
  page 31-49
• Efficient Training of Recurrent Neural Network with Time Delays
  Cohen, B., Saad, D. and Marom, E.
  page 51-59
• Training Feedforward Neural Networks: An Algorithm Giving Improved Generalization
  Lee, C.W.
  page 61-68
• Effective Backpropagation Training with Variable Stepsize
  Magoulas, G.D., Vrahatis, M.N. and Androulakis, G.S.
  page 69-82
• Associative Dynamics in a Chaotic Neural Network
  Adachi, M. and Aihara, K.
  page 83-98
• Density Estimation Through Convex Combinations of Densities: Approximation and Estimation Bounds
  Zeevi, A.J. and Meir, R.
  page 99-109
• Pattern Categorization and Generalization with a Virtual Neuromolecular Architecture
  Chen, J. and Conrad, M.
  page 111-123
• Training Spatially Homogeneous Fully Recurrent Neural Networks in Eigenvalue Space
  Perfetti, R. and Massarelli, E.
  page 125-137
• HAVNET: A New Neural Network Architecture for Pattern Recognition
  Rosandich, R.G.
  page 139-151
• Self-organizing Internal Representation in Learning of Navigation: A Physical Experiment by the Mobile Robot YAMABICO
  Tani, J. and Fukumura, N.
  page 153-159
• Neuro Fuzzy Approach to Pattern Recognition
  Ray, K.S. and Ghoshal, J.
  page 161-182
• Using Neural Networks to Determine Sugeno Measures by Statistics
  Jia, W. and Zhenyuan, W.
  page 183-195

Tables of Contents

ISSN 08936080

Volume/issue listing

Volume 10, Issue 4, June 1997

• On the Storage Capacity of Nonlinear Neural Networks
  Mazza, C.
  page 593-597
• Optimal Linear Combinations of Neural Networks
  Hashem, S.
  page 599-614
• NL_q Theory: A Neural Control Framework with Global Asymptotic Stability Criteria
  Suykens, J.A.K., De Moor, B.L.R. and Vandewalle, J.
  page 615-637
• Threshold-dependent Limit Cycles in a Nonlinear Network Model
  Noonburg, V.W.
  page 639-648
• Exact ART: A Complete Implementation of an ART Network
  Raijmakers, M.E.J. and Molenaar, P.C.M.
  page 649-669
• Sparsely Connected, Hebbian Networks with Strikingly Large Storage Capacities
  Vogel, D.D. and Boos, W.
  page 671-682
• Non-linear Feature Extraction by Redundancy Reduction in an Unsupervised Stochastic Neural Network
  Deco, G. and Parra, L.
  page 683-691
• OpenSim: A Flexible Distributed Neural Network Simulator with Automatic Interactive Graphics
  Leber, J. and Jarosch, A.
  page 693-703
• Linsker-type Hebbian Learning: A Qualitative Analysis on the Parameter Space
  Jianfeng, F., Hong, P. and Roychowdhury, V.P.
  page 705-720
• Premature Saturation in Backpropagation Networks: Mechanism and Necessary Conditions
  Vitela, J.E. and Reifman, J.
  page 721-735
• A Comparative Study of Self-organizing Clustering Algorithms Dignet and ART2
  Wann, C. and Thomopoulos, S.C.A.
  page 737-753
• Modified Fuzzy ARTMAP Approaches Bayes Optimal Classification Rates: An Empirical Demonstration
  Chee, P.L. and Harrison, R.F.
  page 755-774

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Volume 10, Issue 5, July 1997

• Uniform Approximation and Gamma Networks
  Sandberg, I.W. and Xu, L.
  page 781-784
• A New Approach to the Analysis of Multidimensional Neuronal Activity: Markov Random Fields
  Makarenko, V.I., Welsh, J.P., Lang, E.J. and Llinas, R.
  page 785-789
• A Cortical-type Modular Neural Network for Hypothetical Reasoning
  Koerner, E., Tsujino, H. and Masutani, T.
  page 791-814
• The Local Structure of Space-variant Images
  Fischl, B., Cohen, M.A. and Schwartz, E.L.
  page 815-831
• Eigenspace Separation of Autocorrelation Memory Matrices for Capacity Expansion
  Kakeya, H. and Kindo, T.
  page 833-843
• Informational Capacity and Recall Quality in Sparsely Encoded Hopfield-like Neural Network: Analytical Approaches and Computer Simulation
  Frolov, A.A., Husek, D. and Muraviev, I.P.
  page 845-855
• Discovering Neural Nets with Low Kolmogorov Complexity and High Generalization Capability
  Schmidhuber, J.
  page 857-873
• Analysing a Self-organising Algorithm
  Flanagan, J.A.
  page 875-883
• Investigation of the CasCor Family of Learning Algorithms
  Prechelt, L.
  page 885-896
• Performance Bounds for Single Layer Threshold Networks when Tracking a Drifting Adversary
  Xiaodong, T. and Kuh, A.
  page 897-906
• Training Dynamics and Neural Network Performance
  Wilson, C.L., Blue, J.L. and Omidvar, O.M.
  page 907-923
• An Incremental Adaptive Network for On-line Supervised Learning and Probability Estimation
  Chee, P.L. and Harrison, R.F.
  page 925-939
• Chaotic Potts Spin Model for Combinatorial Optimization Problems
  Ishii, S. and Sato, M.
  page 941-963

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Volume 10, Issue 6, August 1997

• Neural Network Model of Spatial Memory: Associative Recall of Maps
  Fukushima, K., Yamaguchi, Y. and Okada, M.
  page 971-979
• Task-Dependent Learning of Attention
  van de Laar, P., Heskes, T. and Gielen, S.
  page 981-992
• SCAN: A Scalable Model of Attentional Selection
  Postma, E.O., van den Herik, H.J. and Hudson, P.T.W.
  page 993-1015
• Convergence-Zone Episodic Memory: Analysis and Simulations
  Moll, M. and Miikkulainen, R.
  page 1017-1036
• Receptive Field Map Development by Anti-Hebbian Learning
  Andrade, M.A. and Moran, F.
  page 1037-1052
• Regularization with a Pruning Prior
  Goutte, C. and Hansen, L.K.
  page 1053-1059
• Estimates of the Number of Hidden Units and Variation with Respect to Half-Spaces
  Kurkova, V., Kainen, P.C. and Kreinovich, V.
  page 1061-1068
• Approximations of Functions by a Multilayer Perceptron: a New Approach
  Attali, J. and Pages, G.
  page 1069-1081
• Learning Vector Quantization with Training Count (LVQTC)
  Odorico, R.
  page 1083-1088
• Estimating Learning Curves of Concept Learning
  Hanzhong, G. and Takahashi, H.
  page 1089-1102
• A Continuous-Time Asynchronous Boltzmann Machine
  Yamanaka, K., Agu, M. and Miyajima, T.
  page 1103-1107
• The Stability of the Generalized Hopfield Networks in Randomly Asynchronous Mode
  Ma, J.
  page 1109-1116
• Associative List Memory
  Gough, M.P.
  page 1117-1131
• Network Synthesis through Data-Driven Growth and Decay
  Chuanyi, J. and Psaltis, D.
  page 1133-1141
• Genetically Trained Cellular Neural Networks
  Zamparelli, M.
  page 1143-1151
• Common Optimization of Adaptive Preprocessing Units and a Neural Network during the Learning Period. Application in EEG Pattern Recognition
  Galicki, M., Witte, H., Dorschel, J., Eiselt, M. and Griessbach, G.
  page 1153-1163
• Erratum
  Van Hulle, M.M.
  page 1165-1166

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ISSN 08936080

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Volume 10, Issue 7, October 1997

• Introduction: 1997 Special Issue Neural Networks for Consciousness
  Taylor, J.G. and Freeman, W.
  page 1173
• Three Centuries of Category Errors in Studies of the Neural Basis of Consciousness and Intentionality
  Freeman, W.J.
  page 1175-1183
• Non-Invasive Analysis of Awareness
  Taylor, J.G. and Mueller-Gaertner, H.-W.
  page 1185-1194
• A Neural Global Workspace Model for Conscious Attention
  Newman, J., Baars, B.J. and Cho, S.
  page 1195-1206
• Neural Networks for Consciousness
  Taylor, J.G.
  page 1207-1225
• Consciousness in Neural Networks?
  Rolls, E.T.
  page 1227-1240
• From Brains to Neural Nets to Brains
  Harth, E.
  page 1241-1255
• The Transition from Automatic to Controlled Processing
  Gray, J.A., Buhusi, C.V. and Schmajuk, N.
  page 1257-1268
• Plato's Theory of Ideas Revisited
  Pelaez, J.R.
  page 1269-1288
• Metastable Associative Network Models of Dream Sleep
  Nakao, M., Honda, I., Musila, M. and Yamamoto, M.
  page 1289-1302
• Consciousness and Neural Cognizers: A Review of Some Recent Approaches
  Browne, C., Evans, R., Sales, N. and Aleksander, I.
  page 1303-1316
• Learning, Action and Consciousness: A Hybrid Approach Toward Modelling Consciousness
  Sun, R.
  page 1317-1331
• Consciousness in a Self-Learning, Memory-Controlled, Compound Machine
  Brown, R.A.
  page 1333-1343

Tables of Contents

ISSN 08936080

Volume/issue listing

Volume 10, Issue 8, November 1997

• Stability Analysis of Learning Algorithms for Blind Source Separation
  Amari, S., Chen, T. and Cichocki, A.
  page 1345-1351
• Chaos in Neural Networks Composed of Coincidence Detector Neurons
  Watanabe, M. and Aihara, K.
  page 1353-1359
• Efficient Partition of Learning Data Sets for Neural Network Training
  Tetko, I.V. and Villa, A.E.P.
  page 1361-1374
• Role of Itinerancy Among Attractors as Dynamical Map in Distributed Coding Scheme
  Hoshino, O., Usuba, N., Kashimori, Y. and Kambara, T.
  page 1375-1390
• An Extension of the Back-Propagation Algorithm to Complex Numbers
  Nitta, T.
  page 1391-1415
• Estimates of Storage Capacity of Multilayer Perceptron with Threshold Logic Hidden Units
  Kowalczyk, A.
  page 1417-1433
• Three Methods to Speed up the Training of Feedforward and Feedback {erceptrons
  Stager, F. and Agarwal, M.
  page 1435-1443
• Neural Network Smoothing in Correlated Time Series Context
  Badran, F. and Thiria, S.
  page 1445-1453
• Some Numerical Aspects of the Training Problem for Feed-Forward Neural Nets
  McKeown, J.J., Stella, F. and Hall, G.
  page 1455-1463
• Characteristic Functions and Process Identification by Neural Networks
  Dente, J.A. and Mendes, R.V.
  page 1465-1471
• Distributed Learning, Recognition, and Prediction by ART and ARTMAP Neural Networks
  Carpenter, G.A.
  page 1473-1494
• An Efficient Method to Construct a Radial Basis Function Neural Network Classifier
  Hwang, Y. and Bang, S.
  page 1495-1503
• Effects of Learning Parameters on Learning Procedure and Performance of a BPNN
  Dai, H. and MacBeth, C.
  page 1505-1521
• A Neural Approach to the Underdetermined-Order Recursive Least-Squares Adaptive Filtering
  Baykal, B. and Constantinides, A.G.
  page 1523-1531
• Proving Hardness of Neural Network Training Problems
  Schmitt, M.
  page 1533-1534
• Author's Response
  Sima, J.
  page 1534

Tables of Contents

ISSN 08936080

Volume/issue listing

Volume 10, Issue 9, December 1997

• Einsteinian Neural Network for Spectrum Estimation
  Perlovsky, L.I., Plum, C.P., Franchi, P.R., Tichovolsky, E.J., Choi, D. and Weijers, B.
  page 1541-1546
• Modelling the Perceptual Segregation of Double Vowels with a Network of Neural Oscillators
  Brown, G.J. and DeLiang, W.
  page 1547-1558
• Simulation Studies of the CA3 Hippocampal Subfield Modelled as an Attractor Neural Network
  Rolls, E.T., Treves, A., Foster, D. and Perez-Vicente, C.
  page 1559-1569
• The Population Vector, an Unbiased Estimator for Non-Uniformly Distributed Neural Maps
  Glasius, R., Komoda, A. and Gielen, S.C.A.M.
  page 1571-1582
• Cortical Dynamics of Three-Dimensional Surface Perception: Binocular and Half-Occluded Scenic Images
  Grossberg, S. and McLoughlin, N.P.
  page 1583-1605
• An Extended Exploratory Projection Pursuit Network with Linear and Nonlinear Anti-Hebbian Lateral Connections Applied to the Cocktail Party Problem
  Girolami, M. and Fyfe, C.
  page 1607-1618
• Artificial Memories: Capacity, Basis Rate and Inference
  Whittle, P.
  page 1619-1626
• Associative Memory with a Sparse Encoding Mechanism for Storing Correlated Patterns
  Hirahara, M., Oka, N. and Kindo, T.
  page 1627-1636
• Matching Performance of Binary Correlation Matrix Memories
  Turner, M. and Austin, J.
  page 1637-1648
• Learning of Associative Memory Networks Based upon Cone-Like Domains of Attraction
  Niijima, K.
  page 1649-1658
• Networks of Spiking Neurons: The Third Generation of Neural Network Models
  Maass, W.
  page 1659-1671
• Global Bifurcation Structure of Chaotic Neural Networks and its Application to Traveling Salesman Problems
  Tokuda, I., Nagashima, T. and Aihara, K.
  page 1673-1690
• Neurocontroller Using Dynamic State Feedback for Compensatory Control
  Szepesvari, C., Cimmer, S. and Lorincz, A.
  page 1691-1708
• pRAM Layout Optimisation
  Apolloni, B., de Falco, D. and Taylor, J.G.
  page 1709-1716
• An Improved Time Series Prediction by Applying the Layer-by-Layer Learning Method to FIR Neural Networks
  Yu, H. and Bang, S.
  page 1717-1729
• Response to the Letter by Li and Cao
  Marinaro, M., Rampone, S. and Tagliaferri, R.
  page 1731-1732
• Image and Brain: The Resolution of the Imagery Debate
  Beach, J. and Brown, V.
  page 1733-1735
• The Human Semantic Potential: Spatial Language and Constrained Connectionism
  Harris, C.L.
  page 1736-1737
• Semiotic Modeling and Situational Analysis: An Introduction
  Perlovsky, L.I.
  page 1737-1739
• Fuzzy and Neural Approaches in Engineering
  Milenova, B.
  page 1740-1741
• Contents Volume 10, 1997
  page III-XIII
• Author Index Volume 10, 1997
  page XIV-XVI