@article{f1b12f22-335e-4577-be0d-5173e53a6a2b,
author = {László Gál, Rita Lovassy, László T. Kóczy},
title = {Bacterial type algorithms used for fuzzy rule base extraction},
journal = {Czasopismo Techniczne},
volume = {2013},
number = {Automatyka Zeszyt 4-AC (12) 2013},
year = {2014},
issn = {0011-4561},
pages = {29-39},keywords = {FRBI; pseudo-bacterial genetic algorithm; bacterial evolutionary algorithm; bacterial memetic algorithm with memetic mutation; progressive bacterial algorithm},
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.},
doi = {10.4467/2353737XCT.14.045.3953},
url = {https://ejournals.eu/czasopismo/czasopismo-techniczne/artykul/bacterial-type-algorithms-used-for-fuzzy-rule-base-extraction}
}