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• W129092644 abstract "This chapter illustrates several methods to learn fuzzy rules from data by using approaches known as neuro-fuzzy methods. The learning procedures that are used in this area are mostly motivated by the learning algorithms known from neural networks. In learning fuzzy rules we distinguish between structure learning and parameter learning. The first term refers to finding an initial fuzzy rule base, and the second term denotes the adaptation of parameters of membership functions to enhance the performance of a fuzzy rule base.KeywordsMembership FunctionFuzzy SystemFuzzy RuleRule BaseFuzzy ClusterThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
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• W129092644 date "1999-01-01" @default.
• W129092644 modified "2023-09-23" @default.
• W129092644 title "Neuro-Fuzzy Methods in Fuzzy Rule Generation" @default.
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• W129092644 doi "https://doi.org/10.1007/978-1-4615-5243-7_6" @default.
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