Result 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.

Type

conference paper

Language

English

Authors

Dalecký Štěpán, Ing., DITS (FIT)
Zbořil František, doc. Ing., CSc., UAMT (FEEC), DITS (FIT)

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

Published

2015

Pages

195–206

Proceedings

Advances in Intelligent Systems and Computing

Series

Mendel 2015 Recent Advances in Soft Computing

Conference

21st International Conference on Soft Computing — MENDEL 2015

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/"
}

Files

pdf mendel.pdf 505 kB

Projects

Centrum excelence IT4Innovations, MŠMT, Operační program Výzkum a vývoj pro inovace, ED1.1.00/02.0070, start: 2011-01-01, end: 2015-12-31, completed
Spolehlivost a bezpečnost v IT, BUT, Vnitřní projekty VUT, FIT-S-14-2486, start: 2014-01-01, end: 2016-12-31, completed

Research groups

Intelligent Systems Research Group (RG INTSYS)

Departments

Department of Intelligent Systems (DITS)