Isolines of statistical information criteria for relational neuro-fuzzy system design

Authors:
Agata Pokropińska;Robert Nowicki;Rafał Scherer
Affiliations:
Institute of Mathematics and Computer Science, Jan Długosz University, Częstochowa, Poland;Department of Computer Engineering, Częstochowa University of Technology, Częstochowa, Poland;Department of Computer Engineering, Częstochowa University of Technology, Częstochowa, Poland
Venue:
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Year:
2006

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Abstract

The paper concerns designing relational neuro-fuzzy systems as a multicriteria optimization problem. Relational neuro-fuzzy systems have additional relation making rules to have more flexible form. A method for designing neuro-fuzzy systems by using information criteria and criteria isolines is used to find the optimal relational system for a given problem.