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Publication detail
DALECKÝ, Š. ZBOŘIL, F.
Original Title
An Approach to ANFIS Performance
Type
conference paper
Language
English
Original Abstract
The paper deals with Adaptive neuro-fuzzy inference system (ANFIS) and its performance. Firstly, ANFIS is described as a hybrid system based on fuzzy logic/sets and artificial neural networks. Subsequently, modifications of ANFIS are proposed. The aim of these modifications is to improve performance, accuracy or reduce computational time. Finally, experiments are presented and findings are assessed.
Keywords
ANFIS, artificial neural network, fuzzy sets, fuzzy logic
Authors
DALECKÝ, Š.; ZBOŘIL, F.
RIV year
2015
Released
1. 6. 2015
Location
Brno
ISBN
978-3-319-19823-1
Book
Advances in Intelligent Systems and Computing
Edition
Mendel 2015 Recent Advances in Soft Computing
Pages from
195
Pages to
206
Pages count
10
URL
https://www.fit.vut.cz/research/publication/10768/
BibTex
@inproceedings{BUT119798, author="Štěpán {Dalecký} and František {Zbořil}", title="An Approach to ANFIS Performance", booktitle="Advances in Intelligent Systems and Computing", year="2015", series="Mendel 2015 Recent Advances in Soft Computing", pages="195--206", address="Brno", doi="10.1007/978-3-319-19824-8\{_}16", isbn="978-3-319-19823-1", url="https://www.fit.vut.cz/research/publication/10768/" }