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.
This work was supported in part by the Foundation for Polish Science (Professorial Grant 2005-2008) and the Polish State Committee for Scientific Research (Grant Nr T11C 04827).
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Pokropińska, A., Nowicki, R., Scherer, R. (2006). Isolines of Statistical Information Criteria for Relational Neuro-fuzzy System Design. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Żurada, J.M. (eds) Artificial Intelligence and Soft Computing – ICAISC 2006. ICAISC 2006. Lecture Notes in Computer Science(), vol 4029. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11785231_31
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DOI: https://doi.org/10.1007/11785231_31
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