KERNEL: A Matlab toolbox for knowledge extraction and refinement by neural learning. 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.
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References in zbMATH (referenced in 2 articles , 1 standard article )
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- Song, Hyeongjin; Choi, K. K.; Lee, Ikjin; Zhao, Liang; Lamb, David: Adaptive virtual support vector machine for reliability analysis of high-dimensional problems (2013)
- Castellano, G.; Castiello, C.; Fanelli, A. M.: KERNEL: A Matlab toolbox for knowledge extraction and refinement by neural learning (2002)