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KERNEL: A Matlab toolbox for knowledge extraction and refinement by neural learning. (English) Zbl 1048.68704

Sloot, Peter M. A. (ed.) et al., Computational science - ICCS 2002. 2nd international conference, Amsterdam, the Netherlands, April. 21–24, 2002. Proceedings. Part 1. Berlin: Springer (ISBN 3-540-43591-3). Lect. Notes Comput. Sci. 2329, 970-979 (2002).
Summary: In this paper we present KERNEL, a neuro-fuzzy system for the extraction of knowledge directly from data, and a toolbox developed in the Matlab environment for its implementation. The KERNEL system belongs to the novel approach which concerns the use and representation of explicit knowledge within the neurocomputing paradigm: the Knowledge Based Neurocomputing. A specific neural network is designed that reflects in its topology the structure of the fuzzy inference model on which the KERNEL system is based. A well-known system identification benchmark is used as an illustrative example.
For the entire collection see [Zbl 0988.68835].

MSC:

68U99 Computing methodologies and applications
68T05 Learning and adaptive systems in artificial intelligence
68T37 Reasoning under uncertainty in the context of artificial intelligence

Software:

Matlab; KERNEL
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