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- W970582017 abstract "The paper gives an overview of various bacterial type evolutionary algorithms used for fuzzy rule based identification. In order to find an optimal rule base from the input-output training data set, several improved algorithms have been developed in recent years. The task is to increase the models’ accuracy and convergence speeds by modifying a part of the Mamdani-type inference system." @default.
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- W970582017 date "2013-01-01" @default.
- W970582017 modified "2023-09-23" @default.
- W970582017 title "Bacterial type algorithms used for fuzzy rule base extraction" @default.
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- W970582017 doi "https://doi.org/10.4467/2353737xct.14.045.3953" @default.
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