DocumentCode
1988818
Title
A new algorithm of fuzzy neural networks with multiple form fuzzy weights
Author
Lei, Hongli ; Zhang, Jianbang ; Zhang, Dianzhi
Author_Institution
Airforce Univ. of Eng., Xi´´an, China
Volume
4
fYear
2002
fDate
2002
Firstpage
3252
Abstract
A fuzzy neural network (FNN) architecture with fuzzy weight is proposed. The cost function depending on the fuzzy input and level sets of the fuzzy targets are defined, which can educe a learning algorithm that will be used to adjust the parameters which denote the fuzzy weight. The principles of the algorithm so that it can be applicable to the fuzzy weight with multiple forms are generalized. Then the algorithm is proved to be available by simulation studies.
Keywords
fuzzy neural nets; fuzzy set theory; learning (artificial intelligence); neural net architecture; cost function; fuzzy input; fuzzy neural network architecture; learning algorithm; level sets; multiple form fuzzy weights; Automation; Cost function; Fuzzy neural networks; Fuzzy sets; Intelligent control; Level set;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN
0-7803-7268-9
Type
conf
DOI
10.1109/WCICA.2002.1020135
Filename
1020135
Link To Document