@inproceedings{253a95f608c14fd0a930db562b7d9a5d,
title = "System approximation via GA-based fuzzy model",
abstract = "This paper constructs a GA-based fuzzy model to approximate an unknown system without pre-set parameters. A real-coded GA and the least-squares method are applied to search for the antecedent and consequent parameters, respectively. Furthermore, a specific performance index is proposed to determine the optimal number of rules for the fuzzy model, and the adequate number of chromosomes and generations for the real-coded GA such that the approximation accuracy is satisfied.",
keywords = "Approximation algorithms, Biological cells, Bismuth, Electronic mail, Fuzzy sets, Fuzzy systems, Genetic algorithms, Genetic mutations, Performance analysis, Training data",
author = "Teng, {You Wei} and Wang, {Wen June}",
note = "Publisher Copyright: {\textcopyright} 2002 IEEE.; Asia-Pacific Conference on Circuits and Systems, APCCAS 2002 ; Conference date: 28-10-2002 Through 31-10-2002",
year = "2002",
doi = "10.1109/APCCAS.2002.1115333",
language = "???core.languages.en_GB???",
series = "IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "547--550",
booktitle = "Proceedings - APCCAS 2002",
}