Detail výsledku

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.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Dalecký Štěpán, Ing., UITS (FIT)
Zbořil František, doc. Ing., CSc., UAMT (FEKT), UITS (FIT)
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

Rok
2015
Strany
195–206
Sborník
Advances in Intelligent Systems and Computing
Řada
Mendel 2015 Recent Advances in Soft Computing
Konference
21st International Conference on Soft Computing — MENDEL 2015
ISBN
978-3-319-19823-1
Místo
Brno
DOI
UT WoS
000364847700016
EID Scopus
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/"
}
Soubory
Projekty
Centrum excelence IT4Innovations, MŠMT, Operační program Výzkum a vývoj pro inovace, ED1.1.00/02.0070, zahájení: 2011-01-01, ukončení: 2015-12-31, ukončen
Spolehlivost a bezpečnost v IT, VUT, Vnitřní projekty VUT, FIT-S-14-2486, zahájení: 2014-01-01, ukončení: 2016-12-31, ukončen
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