Abstract
In this paper we present results of application of information cirterions to neuro-fuzzy systems (NFS) design. The criterions come from autoregression estimation theory and are employed to describe the level of NFS quality. Based on this method the preferred size of systems is determined. Various criterions are compared and discussed.
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Nowicki, R., Pokropińska, A. (2004). Information Criterions Applied to Neuro-Fuzzy Architectures Design. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds) Artificial Intelligence and Soft Computing - ICAISC 2004. ICAISC 2004. Lecture Notes in Computer Science(), vol 3070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24844-6_47
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DOI: https://doi.org/10.1007/978-3-540-24844-6_47
Publisher Name: Springer, Berlin, Heidelberg
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