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 is based the KERNEL system. A well-known system identification benchmark is used as illustrative example.



Titolo: KERNEL: a Matlab Toolbox for Knowledge Extraction and Refinement by NEural Learning
Autori: 
CASTELLANO, GIOVANNA
CASTIELLO, CIRO
FANELLI, Anna Maria
Data di pubblicazione: 2002
Rivista: 
LECTURE NOTES IN COMPUTER SCIENCE  
Handle: http://hdl.handle.net/11586/112663
ISBN: 978-3-540-43591-4
Appare nelle tipologie:2.1 Contributo in volume (Capitolo o Saggio)

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