Detail publikace

An Approach to ANFIS Performance

DALECKÝ, Š. ZBOŘIL, F.

Originální název

An Approach to ANFIS Performance

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

ANFIS, artificial neural network, fuzzy sets, fuzzy logic

Autoři

DALECKÝ, Š.; ZBOŘIL, F.

Rok RIV

2015

Vydáno

1. 6. 2015

Místo

Brno

ISBN

978-3-319-19823-1

Kniha

Advances in Intelligent Systems and Computing

Edice

Mendel 2015 Recent Advances in Soft Computing

Strany od

195

Strany do

206

Strany počet

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/"
}