Volume 9,
Number 1,
February 1999
- Valeriu Beiu, Sorin Draghici, Thierry de Pauw:
A Constructive Approach to Calculating Lower Entropy Bounds.
1-12 BibTeX
- S. C. Ng, Shu Hung Leung, Andrew Luk:
Fast Convergent Generalized Back-Propagation Algorithm with Constant Learning Rate.
13-23 BibTeX
- Roelof K. Brouwer:
A Fuzzy Neuron with Binary Input and its Training Algorithm.
25-33 BibTeX
- Nikolaos Vassilas, Eleni Charou:
A New Methodology for Efficient Classification of Multispectral Satellite Images Using Neural Network Techniques.
35-43 BibTeX
- Francesco Camastra, Anna Maria Colla:
Neural Short-Term Prediction Based on Dynamics Reconstruction.
45-52 BibTeX
- P. Costa, Pascal Larzabal:
Initialization of Supervised Training for Parametric Estimation.
53-61 BibTeX
- Nikos A. Vlassis, George K. Papakonstantinou, Panayotis Tsanakas:
Mixture Density Estimation Based on Maximum Likelihood and Sequential Test Statistics.
63-76 BibTeX
- Seán F. McLoone, George W. Irwin:
A Variable Memory Quasi-Newton Training Algorithm.
77-89 BibTeX
Volume 9,
Number 2,
1999
- Witali L. Dunin-Barkowski, Serge L. Shishkin, Donald C. Wunsch:
Stability Properties of Cerebellar Neural Networks: The {P}urkinje Cell Climbing Fiber Dynamic Module.
97-106 BibTeX
- Granino A. Korn:
New, Faster Algorithms for Supervised Competitive Learning: Counterpropagation and Adaptive-resonance Functionality.
107-117 BibTeX
- Aristidis Likas, Isaac E. Lagaris:
Training Reinforcement Neurocontrollers Using the Polytope Algorithm.
119-127 BibTeX
- Amnon Shashua:
On the Relationship Between the Support Vector Machine for Classification and Sparsified Fisher's Linear Discriminant.
129-139 BibTeX
- Péter András:
Orthogonal RBF Neural Network Approximation.
141-151 BibTeX
- Teuvo Kohonen:
Fast Evolutionary Learning with Batch-Type Self-Organizing Maps.
153-162 BibTeX
- Zhenya He, Yifeng Zhang, Luxi Yang:
The Study of Chaotic Neural Network and its Applications in Associative Memory.
163-175 BibTeX
- Siu-Yeung Cho, Tommy W. S. Chow:
A Fast Heuristic Global Learning Algorithm for Multilayer Neural Networks.
177-187 BibTeX
- Paul Andrew Watters, Malti Patel:
A Neural Network Model of Semantic Processing Errors in Parkinson's Disease.
189-199 BibTeX
- Denis Bonnet, Alain Grumbach, Veronique Labouisse:
Erratum On the Parsimony of the Multi-Layer Perceptrons when Processing Encoded Symbolic Variables.
201 BibTeX
Volume 9,
Number 3,
1999
- Otávio Augusto S. Carpinteiro:
A Hierarchical Self-Organizing Map Model for Sequence Recognition.
209-220 BibTeX
- Daya Bassam:
A Multilayer Perceptrons Model for the Stability of a Bipedal Robot.
221-227 BibTeX
- Leopoldo Acosta, Juan A. Méndez, S. Torres, Lorenzo Moreno, G. N. Marichal:
On the Design and Implementation of a Neuromorphic Self-Tuning Controller.
229-242 BibTeX
- Baoyun Wang, Heng Dong, Zhenya He:
A Chaotic Annealing Neural Network with Gain Sharpening and Its Application to the 0/1 Knapsack Problem.
243-247 BibTeX
- Fa-Long Luo, Rolf Unbehauen, Tertulien Ndjountche:
Unsupervised Learning of Higher-Order Statistics.
249-255 BibTeX
- José L. Sanz-González, Diego Andina:
Performance Analysis of Neural Network Detectors by Importance Sampling Techniques.
257-269 BibTeX
- Mikko Lehtokangas:
Constructive Backpropagation for Recurrent Networks.
271-278 BibTeX
- Mu-Chun Su, I-Chen Liu:
A Neural-Network-Based Approach to Detecting Hyperellipsoidal Shells.
279-292 BibTeX
- Johan A. K. Suykens, Joos Vandewalle:
Least Squares Support Vector Machine Classifiers.
293-300 BibTeX
Copyright © Tue Nov 18 20:44:23 2008
by Michael Ley (ley@uni-trier.de)
