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