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ORCIDNeural 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 J. 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 Lopera, 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 P. Engelbrecht:
Sensitivity Analysis for Decision Boundaries. 253-266 - Tianping Chen:
Convergence of Delayed Dynamical Systems. 267-271
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