TY - JOUR
TI - Bacterial type algorithms used for fuzzy rule base extraction
AU - Gál, László
AU - Lovassy, Rita
AU - Kóczy, László T.
TI - Bacterial type algorithms used for fuzzy rule base extraction
AB - 
	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.
VL - 2013
IS - Automatyka Zeszyt 4-AC (12) 2013
PY - 2014
SN - 0011-4561
C1 - 2353-737X
SP - 29
EP - 39
DO - 10.4467/2353737XCT.14.045.3953
UR - https://ejournals.eu/czasopismo/czasopismo-techniczne/artykul/bacterial-type-algorithms-used-for-fuzzy-rule-base-extraction
KW - FRBI
KW - pseudo-bacterial genetic algorithm
KW - bacterial evolutionary algorithm
KW - bacterial memetic algorithm with memetic mutation
KW - progressive bacterial algorithm