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Isolines of Statistical Information Criteria for Relational Neuro-fuzzy System Design

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Artificial Intelligence and Soft Computing – ICAISC 2006 (ICAISC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4029))

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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.

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

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-35748-3

  • Online ISBN: 978-3-540-35750-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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