Neural Processing Letters, Volume 10

Volume 10, Number 1, August 1999

• Aapo Hyvärinen: The Fixed-Point Algorithm and Maximum Likelihood Estimation for Independent Component Analysis. 1-5
• Patrick M. Wong, Tamás D. Gedeon: A Pattern Adaptive Technique to Handle Data Quality Variation. 7-15
• Martina Hasenjäger, Helge Ritter: Perceptron Learning Revisited: The Sonar Targets Problem. 17-24
• Panu Somervuo: Redundant Hash Addressing of Feature Sequences Using the Self-Organizing Map. 25-34
• Jzau-Sheng Lin: Fuzzy Clustering Using A Compensated Fuzzy Hopfield Network. 35-48
• Zhengquan He, Mohammed Yakoob Siyal: Improvement on Higher-Order Neural Networks for Invariant Object Recognition. 49-55
• Nazife Baykal, Aydan M. Erkmen: Extended Self Organizing Feature Map: A Tagged Potential Field Approach. 57-72

Volume 10, Number 2, October 1999

• Yoram Baram: Walking on Tiles. 81-87
• M. Jedra, A. El Ouardighi, Abderrahmane Essaid, Mohamed Limouri: A Bi-Directional Multilayer Perceptron. 89-95
• Seiichi Ozawa, Kazuyoshi Tsutsumi, Norio Baba: A Continuous-Time Model of Autoassociative Neural Memories Utilizing the Noise-Subspace Dynamics. 97-109
• Siu-Yeung Cho, Tommy W. S. Chow: A Fast Neural Learning Vision System for Crowd Estimation at Underground Stations Platform. 111-120
• José Luis Bernier, Julio Ortega, M. M. Rodríguez, Ignacio Rojas, Alberto Prieto: An Accurate Measure for Multilayer Perceptron Tolerance to Weight Deviations. 121-130
• Temujin Gautama, Marc M. Van Hulle: Self-Organized Feature Extraction Achieved with a Parameterized Filterbank. 131-137
• Jung-Hua Wang, Wei-Der Sun: On the Characteristics of Growing Cell Structures (GCS) Neural Network. 139-149
• Panu Somervuo, Teuvo Kohonen: Self-Organizing Maps and Learning Vector Quantization for Feature Sequences. 151-159

Volume 10, Number 3, December 1999

• Fatine Maghrebi: On a Hopfield Net Arising in the Modelling and Control of Over-Saturated Signalized Intersections. 161-169
• Song-Yee Yoon, Soo-Young Lee: Training Algorithm with Incomplete Data for Feed-Forward Neural Networks. 171-179
• Bernhard Sendhoff, Martin Kreutz: A Model for the Dynamic Interaction Between Evolution and Learning. 181-193
• Li-Zhi Liao: A Recurrent Neural Network for N-Stage Optimal Control Problems. 195-200
• Wlodzislaw Duch, Rafal Adamczak, Geerd H. F. Diercksen: Neural Networks in Non-Euclidean Spaces. 201-210
• Xinchuan Zeng, Tony R. Martinez: A New Relaxation Procedure in the Hopfield Network for Solving Optimization Problems. 211-222
• Andrew D. Brown, Howard C. Card: Cooperative-Competitive Algorithms for Evolutionary Networks Classifying Noisy Digital Images. 223-229
• Yaochu Jin, Bernhard Sendhoff: Knowledge Incorporation into Neural Networks From Fuzzy Rules. 231-242
• Stavros J. Perantonis, Vassilis Virvilis: Input Feature Extraction for Multilayered Perceptrons Using Supervised Principal Component Analysis. 243-252
• Andries Petrus Engelbrecht: Sensitivity Analysis for Decision Boundaries. 253-266
• Tianping Chen: Convergence of Delayed Dynamical Systems. 267-271