Detail publikace

An Approach to ANFIS Performance

DALECKÝ, Š. ZBOŘIL, F.

Originální název

An Approach to ANFIS Performance

Anglický název

An Approach to ANFIS Performance

Jazyk

en

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.

Anglický 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.

Dokumenty

BibTex


@inproceedings{BUT119798,
  author="Štěpán {Dalecký} and František {Zbořil}",
  title="An Approach to ANFIS Performance",
  annote="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.",
  address="NEUVEDEN",
  booktitle="Advances in Intelligent Systems and Computing",
  chapter="119798",
  doi="10.1007/978-3-319-19824-8_16",
  edition="Mendel 2015 Recent Advances in Soft Computing",
  howpublished="print",
  institution="NEUVEDEN",
  year="2015",
  month="june",
  pages="195--206",
  publisher="NEUVEDEN",
  type="conference paper"
}