Publication Details

An Approach to ANFIS Performance

DALECKÝ, Š.; ZBOŘIL, F. An Approach to ANFIS Performance. In Advances in Intelligent Systems and Computing. Mendel 2015 Recent Advances in Soft Computing. Brno: 2015. p. 195-206. ISBN: 978-3-319-19823-1.
Czech title
Rychlost systému ANFIS
Type
conference paper
Language
English
Authors
Dalecký Štěpán, Ing.
Zbořil František, doc. Ing., CSc. (DITS)
Keywords

ANFIS, artificial neural network, fuzzy sets, fuzzy logic

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.

Published
2015
Pages
195–206
Proceedings
Advances in Intelligent Systems and Computing
Series
Mendel 2015 Recent Advances in Soft Computing
Conference
21st International Mendel Conference on Soft Computing, Brno, CZ
ISBN
978-3-319-19823-1
Place
Brno
DOI
10.1007/978-3-319-19824-8_16
UT WoS
000364847700016
EID Scopus
2-s2.0-84946779828
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/"
}
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