Information Criterions Applied to Neuro-Fuzzy Architectures Design
作者： Robert Nowicki , Agata Pokropińska
DOI: 10.1007/978-3-540-24844-6_47
关键词:
摘要: In this paper we present results of application information cirterions to neuro-fuzzy systems (NFS) design. The criterions come from autoregression estimation theory and are employed describe the level NFS quality. Based on method preferred size is determined. Various compared discussed.
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