Volume 10, Number 1, January 1997
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Jinwen Ma :
Simplex Memory Neural Networks.
25-29
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Charles W. Lee :
Training Feedforward Neural Networks: An Algorithm Giving Improved Generalization.
61-68
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Assaf J. Zeevi ,
Ronny Meir :
Density Estimation Through Convex Combinations of Densities: Approximation and Estimation Bounds.
99-109
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Ryan G. Rosandich :
HAVNET: A New Neural Network Architecture for Pattern Recognition.
139-151
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Jun Tani ,
Naohiro Fukumura :
Self-organizing Internal Representation in Learning of Navigation: A Physical Experiment by the Mobile Robot YAMABICO.
153-159
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Volume 10, Number 2, March 1997
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Valentin Dragoi :
A Dynamic Theory of Acquisition and Extinction in Operant Learning.
201-229
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Colin Fyfe :
A Comparative Study of Two Neural Methods of Exploratory Projection Pursuit.
257-262
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Victor Likhovidov :
Variational Approach to Unsupervised Learning Algorithms of Neural Networks.
273-289
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journals/nn/KosmatopoulosCI97 export record as
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Syozo Yasui :
Convergence Suppression and Divergence Facilitation: Minimum and Joint Use of Hidden Units by Multiple Outputs.
353-367
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Thomas Elsken :
Even on Finite Test Sets Smaller Nets may Perform Better.
369-385
Volume 10, Number 3, April 1997
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Alessandro Sperduti :
On the Computational Power of Recurrent Neural Networks for Structures.
395-400
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Yasuhiro Sagawa :
A Function of Neural Networks Generating End- and Side-inhibition in the Primary Visual Cortex.
423-429
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Marc M. Van Hulle :
Topology-preserving Map Formation Achieved with a Purely Local Unsupervised Competitive Learning Rule.
431-446
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David A. Sprecher :
A Numerical Implementation of Kolmogorov's Superpositions II.
447-457
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journals/nn/ChakravarthyG97 export record as
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Philippe De Wilde :
The Magnitude of the Diagonal Elements in Neural Networks.
499-504
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journals/nn/SchittenkopfDB97 export record as
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Xiao-Hu Yu ,
Guo-An Chen :
Efficient Backpropagation Learning Using Optimal Learning Rate and Momentum.
517-527
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Roelof K. Brouwer :
Automatic Growing of a Hopfield Style Network During Training for Classification.
529-537
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journals/nn/AlbertiBCGP97 export record as
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P. P. Raghu ,
B. Yegnanarayana :
Multispectral Image Classification Using Gabor Filters and Stochastic Relaxation Neural Network.
561-572
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Volume 10, Number 4, June 1997
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Christian Mazza :
On the Storage Capacity of Nonlinear Neural Networks.
593-597
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Sherif Hashem :
Optimal Linear Combinations of Neural Networks.
599-614
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V. W. Noonburg :
Threshold-dependent Limit Cycles in a Nonlinear Network Model.
639-648
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journals/nn/RaijmakersM97 export record as
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Gustavo Deco ,
Lucas C. Parra :
Non-linear Feature Extraction by Redundancy Reduction in an Unsupervised Stochastic Neural Network.
683-691
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Volume 10, Number 5, July 1997
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journals/nn/MakarenkoWLL97 export record as
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journals/nn/Schmidhuber97 Jürgen Schmidhuber :
Discovering Neural Nets with Low Kolmogorov Complexity and High Generalization Capability.
857-873
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Lutz Prechelt :
Investigation of the CasCor Family of Learning Algorithms.
885-896
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Xiaodong Tian ,
Anthony Kuh :
Performance Bounds for Single Layer Threshold Networks when Tracking a Drifting Adversary.
897-906
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Volume 10, Number 6, August 1997
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Roberto Odorico :
Learning Vector Quantization with Training Count (LVQTC).
1083-1088
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Jinwen Ma :
The Stability of the Generalized Hopfield Networks in Randomly Asynchronous Mode.
1109-1116
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journals/nn/GalickiWDEG97
Volume 10, Number 7, October 1997
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Walter J. Freeman :
Three Centuries of Category Errors in Studies of the Neural Basis of Consciousness and Intentionality.
1175-1183
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Erich Harth :
From Brains to Neural Nets to Brains.
1241-1255
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Ron Sun :
Learning, action and consciousness: a hybrid approach toward modelling consciousness.
1317-1331
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Robert Alan Brown :
Consciousness in a Self-Learning, Memory-Controlled, Compound Machine.
1333-1343
Volume 10, Number 8, November 1997
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Tohru Nitta :
An Extension of the Back-Propagation Algorithm to Complex Numbers.
1391-1415
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Adam Kowalczyk :
Estimates of Storage Capacity of Multilayer Perceptron with Threshold Logic Hidden Units.
1417-1433
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Gail A. Carpenter :
Distributed Learning, Recognition, and Prediction by ART and ARTMAP Neural Networks.
1473-1494
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Michael Schmitt :
Proving Hardness of Neural Network Training Problems.
1533-1534
Volume 10, Number 9, December 1997
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journals/nn/PerlovskyPFTCW97 export record as
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Mark 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
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Peter Whittle :
Artificial memories: Capacity, basis rate and inference.
1619-1626
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Koichi Niijima :
Learning of associative memory networks based upon cone-like domains of attraction.
1649-1658
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Wolfgang Maass :
Networks of spiking neurons: The third generation of neural network models.
1659-1671
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journals/nn/SzepesvariCL97 export record as
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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
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