Conference paper

DALECKÝ Štěpán and ZBOŘIL František V.. An Approach to ANFIS Performance. In: Advances in Intelligent Systems and Computing. Brno, 2015, pp. 195-206. ISBN 978-3-319-19823-1.
Publication language:english
Original title:An Approach to ANFIS Performance
Title (cs):Rychlost systému ANFIS
Pages:195-206
Proceedings:Advances in Intelligent Systems and Computing
Conference:21st International Mendel Conference on Soft Computing
Series:Mendel 2015 Recent Advances in Soft Computing
Place:Brno, CZ
Year:2015
ISBN:978-3-319-19823-1
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Keywords
ANFIS, artificial neural network, fuzzy sets, fuzzy logic
Annotation
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.
BibTeX:
@INPROCEEDINGS{
   author = {{\v{S}}t{\v{e}}p{\'{a}}n Daleck{\'{y}} and V.
	Franti{\v{s}}ek Zbo{\v{r}}il},
   title = {An Approach to ANFIS Performance},
   pages = {195--206},
   booktitle = {Advances in Intelligent Systems and Computing},
   series = {Mendel 2015 Recent Advances in Soft Computing},
   year = {2015},
   location = {Brno, CZ},
   ISBN = {978-3-319-19823-1},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php.en.iso-8859-2?id=10768}
}

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