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Evolving connectionist systems for adaptive learning and knowledge discovery: Methods, tools, applications

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1 Author(s)
Kasabov, N. ; Knowledge Eng. & Discovery Res. Inst., Atickland Univ. of Technol., Auckland, New Zealand

The paper describes what evolving processes are and presents a computational model called evolving connectionist systems (ECOS). The model is based on principles from both brain organization and genetics. The applicability of the model for dynamic modeling and knowledge discovery in the areas of brain study, bioinformatics, speech and language learning, adaptive control and adaptive decision support is discussed.

Published in:

Intelligent Systems, 2002. Proceedings. 2002 First International IEEE Symposium  (Volume:1 )

Date of Conference:

2002