JACIII Vol.2 No.6 pp. 195-202
doi: 10.20965/jaciii.1998.p0195


The ECOS Framework and the ECO Learning Method for Evolving Connectionist Systems

Nikola Kasabov

Department of Information Science, University of Otago P.O Box 56, Dunedin, New Zealand

May 20, 1998
August 28, 1998
December 20, 1998
Evolving connectionist systems, On-line adaptive learning, Multi-modal information processing, Adaptive fuzzy neural networks, Person voice identification
This paper introduces a paradigm of connectionist architectures and an approach to building on-line, adaptive intelligent systems. This approach is called evolving connectionist systems (ECOS). EGOS evolve through incremental, on-line learning, both supervised and unsupervised. They can accommodate new input data, including new features, new classes, etc. The ECOS framework is presented and illustrated on a particular type of evolving neural networks - evolving fuzzy neural networks. The task of voice recognition and person identification is used as a case study.
Cite this article as:
N. Kasabov, “The ECOS Framework and the ECO Learning Method for Evolving Connectionist Systems,” J. Adv. Comput. Intell. Intell. Inform., Vol.2 No.6, pp. 195-202, 1998.
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