Finding the near optimal learning rates of Fuzzy Neural Networks (FNNs) via its equivalent fully connected neural networks (FFNNs)

doi:10.1109/ICSSE.2012.6257164

UM > Faculty of Science and Technology > DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE

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	Finding the near optimal learning rates of Fuzzy Neural Networks (FNNs) via its equivalent fully connected neural networks (FFNNs)
	Wang J.1; Chen C.L.P.1 ; Wang C.-H.2
	2012-10-01
Conference Name	2012 International Conference on System Science and Engineering, ICSSE 2012
Source Publication	Proceedings 2012 International Conference on System Science and Engineering, ICSSE 2012
Pages	137-142
Conference Date	30 June 2012through 2 July 2012
Conference Place	Dalian, Liaoning, China
Abstract	In this paper, Fuzzy Neural Network (FNN) is transformed into an equivalent fully connected three layer neural network, or FFNN. Based on the FFNN, BP training algorithm is derived. To improve convergent rate, a new method to find near optimal learning rates for FFNN is proposed. Illustrative examples are presented to check the validity of the proposed theory and algorithms. Simulation results show satisfactory results. Finding near optimal learning rates for FNN via its equivalent FFNN has its emerging values in all engineering applications using FNN, such as intelligent adaptive control, pattern recognition, and signal processing,..., etc. © 2012 IEEE.
Keyword	Back Propagations Fuzzy Logic Fuzzy Neural Networks Gradient Descent Neural Networks Optimal Training
DOI	10.1109/ICSSE.2012.6257164
URL	View the original
Language	英語English
Scopus ID	2-s2.0-84866658670
Fulltext Access	View Full-Text via DOI View Full-Text via Scopus
Citation statistics
Document Type	Conference paper
Collection	DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation	1.Universidade de Macau 2.National Chiao Tung University Taiwan
First Author Affilication	University of Macau
Recommended Citation GB/T 7714	Wang J.,Chen C.L.P.,Wang C.-H.. Finding the near optimal learning rates of Fuzzy Neural Networks (FNNs) via its equivalent fully connected neural networks (FFNNs)[C], 2012, 137-142.
APA	Wang J.., Chen C.L.P.., & Wang C.-H. (2012). Finding the near optimal learning rates of Fuzzy Neural Networks (FNNs) via its equivalent fully connected neural networks (FFNNs). Proceedings 2012 International Conference on System Science and Engineering, ICSSE 2012, 137-142.

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