Publication result detail

An Approach to ANFIS Performance

DALECKÝ, Š.; ZBOŘIL, F.

Original Title

An Approach to ANFIS Performance

English Title

An Approach to ANFIS Performance

Type

Paper in proceedings (conference paper)

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.

English 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

Key words in English

ANFIS, artificial neural network, fuzzy sets, fuzzy logic

Authors

DALECKÝ, Š.; ZBOŘIL, F.

RIV year

2016

Released

01.06.2015

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/"
}

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