%0 Journal Article
%T Bacterial type algorithms used for fuzzy rule base extraction
%A Gál, László
%A Lovassy, Rita
%A Kóczy, László T.
%J Czasopismo Techniczne
%V 2013
%R 10.4467/2353737XCT.14.045.3953
%N Automatyka Zeszyt 4-AC (12) 2013
%P 29-39
%K FRBI, pseudo-bacterial genetic algorithm, bacterial evolutionary algorithm, bacterial memetic algorithm with memetic mutation, progressive bacterial algorithm
%@ 0011-4561
%D 2014
%U https://ejournals.eu/czasopismo/czasopismo-techniczne/artykul/bacterial-type-algorithms-used-for-fuzzy-rule-base-extraction
%X 
	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.