Publication Details

An Approach to ANFIS Performance

DALECKÝ Štěpán and ZBOŘIL František V.. An Approach to ANFIS Performance. In: Advances in Intelligent Systems and Computing. Mendel 2015 Recent Advances in Soft Computing. Brno, 2015, pp. 195-206. ISBN 978-3-319-19823-1.

Czech title

Rychlost systému ANFIS

Type

conference paper

Language

english

Authors

Dalecký Štěpán, Ing. (DITS FIT BUT)
Zbořil František V., doc. Ing., CSc. (DITS FIT BUT)

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, CZ

DOI

10.1007/978-3-319-19824-8_16

UT WoS

000364847700016

EID Scopus

2-s2.0-84946779828

BibTeX

@INPROCEEDINGS{FITPUB10768,
   author = "\v{S}t\v{e}p\'{a}n Daleck\'{y} and V. Franti\v{s}ek Zbo\v{r}il",
   title = "An Approach to ANFIS Performance",
   pages = "195--206",
   booktitle = "Advances in Intelligent Systems and Computing",
   series = "Mendel 2015 Recent Advances in Soft Computing",
   year = 2015,
   location = "Brno, CZ",
   ISBN = "978-3-319-19823-1",
   doi = "10.1007/978-3-319-19824-8\_16",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/10768"
}