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 is based the KERNEL system. A well-known system identification benchmark is used as illustrative example.
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Titolo: | KERNEL: a Matlab Toolbox for Knowledge Extraction and Refinement by NEural Learning |
Autori: | |
Data di pubblicazione: | 2002 |
Rivista: | |
Handle: | http://hdl.handle.net/11586/112663 |
ISBN: | 978-3-540-43591-4 |
Appare nelle tipologie: | 2.1 Contributo in volume (Capitolo o Saggio) |