An Approach to ANFIS Performance

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F15%3APU116941" target="_blank" >RIV/00216305:26230/15:PU116941 - isvavai.cz</a>

Result on the web

<a href="http://www.fit.vutbr.cz/research/pubs/all.php?id=10768" target="_blank" >http://www.fit.vutbr.cz/research/pubs/all.php?id=10768</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-19824-8_16" target="_blank" >10.1007/978-3-319-19824-8_16</a>

Result language

angličtina

Original language name

An Approach to ANFIS Performance

Original language description

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.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2015

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Advances in Intelligent Systems and Computing

ISBN

978-3-319-19823-1

ISSN

—

e-ISSN

—

Number of pages

10

Pages from-to

195-206

Publisher name

NEUVEDEN

Place of publication

Brno

Event location

Brno

Event date

Jun 23, 2015

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000364847700016