Knowledge-based neurocomputing
Knowledge-based neurocomputing
Neuro-fuzzy analysis of document images by the KERNEL system
WILF'05 Proceedings of the 6th international conference on Fuzzy Logic and Applications
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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 KEIRNEL 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 is based the KERNEL system. A well-known system idenliticalion benchmark is used as illustrative example.