@inproceedings{551ce2b17c3c44b08a2998217972d284,
title = "Neural networks and genetic algorithm approaches to auto-design of fuzzy systems",
abstract = "This paper presents Neural Network and Genetic Algorithm approaches to fuzzy system design, which aims to shorten development time and increase system performance. An approach that uses neural network to represent multi-dimensional nonlinear membership functions and an approach to tune membership function parameters are given. A genetic algorithm approach that integrates and automates three fuzzy system design stages is also proposed.",
author = "Hideyuki Takagi and Michael Lee",
year = "1993",
month = jan,
day = "1",
doi = "10.1007/3-540-56920-0_9",
language = "English",
isbn = "9783540569206",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "68--79",
editor = "Klement, {Erich P.} and Wolfgang Slany",
booktitle = "Fuzzy Logic in Artificial Intelligence - 8th Austrian Artificial Intelligence Conference, FLAI 1993, Proceedings",
address = "Germany",
note = "8th Austrian Artificial Intelligence Conference on Fuzzy Logic, FLAI 1993 ; Conference date: 28-06-1993 Through 30-06-1993",
}