Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.,No. , 1998

Journal of Advanced Computational Intelligence and Intelligent Informatics Vol.2, No.6, 1998

Editorial:: Self-Organization and Adaptation in Intelligent Systems; Nikola Kasabov and Robert Kozma, pp. 177-177; This special issue is devoted to one of the important topics of current intelligent information systems-their ability to adapt to the environment they operate in, as adaptation is one of the most important features of intelligence.
Several milestones in the literature on adaptive systems mark the development in this area. The Hebbian learning rule,¹⁾ self-organizing maps,^2,3) and adaptive resonance theory⁴⁾ have influenced the research in this area a great deal. Some current development suggests methods for building adaptive neurofuzzy systems,⁵⁾ and adaptive self-organizing systems based on principles from biological brains.⁶⁾
The papers in this issue are organized as follows:
The first two papers present material on organization and adaptation in the human brain.
The third paper, by Kasabov, presents a novel approach to building open structured adaptive systems for on-line adaptation called evolving connectionist systems. The fourth paper by Kawahara and Saito suggests a method for building virtually connected adaptive cell structures.
Papers 5 and 6 discuss the use of genetic algorithms and evolutionary computation for optimizing and adapting the structure of an intelligent system.
The last two papers suggest methods for adaptive learning of a sequence of data in a feed-forward neural network that has a fixed structure.
References:
1) D.O. Hebb, "The Organization of Behavior," Jwiley, New York, (1949).
2) T. Kohonen, "Self-organisation and associative memory," Springer-Verlag, Berlin, (1988).
3) T. Kohonen, "Self-Organizing Maps, second edition," Springer Verlag, (1997).
4) G. Carpenter and S. Grossberg, "Pattern recognition by self-organizing neural networks," The MIT Press, Cambridge, Massachusetts, (1991).
5) N. Kasabov, "Foundations of Neural Networks, Fuzzy Systems and Knowledge Engineering," The MIT Press, CA, MA, (1996).
6) S. Amari and N. Kasabov "Brain-like Computing and Intelligent Information Systems," Springer Verlag, Singapore, (1997).

Paper:: Self-organization in Cortical Maps & EM-learning; Francesco Frisone, Pietro G. Morasso, and Luca Perico, pp. 178-184; Abstract
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Paper:: Neuronal and Hemodynamic Events from fMRI Time-Series; Jagath C. Rajapakse, Frithjof Kruggel, Stefan Zysset and D. Yves von Cramon, pp. 185-194; Abstract
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Paper:: The ECOS Framework and the ECO Learning Method for Evolving Connectionist Systems; Nikola Kasabov, pp. 195-202; Abstract
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Paper:: An Adaptive Self-Organizing Algorithm with Virtual Connection; Shingo Kawahara and Toshimichi Saito, pp. 203-207; Abstract
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Paper:: A Novel Penalty Function Approach to Constrained Optimization Problems with Genetic Algorithms; Xinghuo Yu, Weixing Zheng, Baolin Wu and Xin Yao, pp. 208-213; Abstract
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Paper:: Evolutionary and Heuristic Approaches for the Selection of Neural Network Architectures and Parameters¹; Tim Whitfort, Chris Matthews, Belinda Choi and John McCullagh, pp. 214-220; Abstract
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Paper:: Local Learning Algorithms for Sequential Tasks in Neural Networks; Anthony Robins and Marcus Frean, pp. 221-227; Abstract
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Paper:: Extending Learning Feasibility Through Feedforward Sequential Learning; Michael K. Weir and Li Hui Chen, pp. 228-233; Abstract
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