A New Interpretability Criteria for Neuro-Fuzzy Systems for Nonlinear Classification
作者： Krystian Łapa , Krzysztof Cpałka , Alexander I. Galushkin
DOI: 10.1007/978-3-319-19324-3_41
关键词:
摘要: In this paper a new approach for construction of neuro-fuzzy systems nonlinear classification is introduced. particular, we concentrate on the flexible which allow us to extend notation rules with weights fuzzy sets. The proposed uses possibilities hybrid evolutionary algorithm and interpretability criteria expert knowledge. These include not only complexity system, but also semantics rules. presented in our was tested typical simulation problems.
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