DocumentCode
2737212
Title
A New NN Fuzzy BP Learning Approach
Author
Weng, Pin-Hsuan ; Chen, Yu-Ju ; Chang, Chuo-Yean ; Hwang, Rey-Chue
Author_Institution
I-Shou Univ., Kaohsiung
fYear
2007
fDate
5-7 Sept. 2007
Firstpage
271
Lastpage
271
Abstract
In this paper, a new approach of fuzzy back-propagation learning method of neural network is proposed. The proposed algorithm not only improves the speed of learning capability, but also increases the accuracy of signal prediction. Several experiments were conducted by this new learning rule. For comparison, parallel simulations were conducted with the same data using a standard back-propagation (BP) algorithm, with constant learning rates (alpha=0.1~0.9) and momentums (xi=0.1~0.9).
Keywords
backpropagation; fuzzy neural nets; fuzzy back-propagation learning method; neural network; signal prediction; Acceleration; Accuracy; Artificial neural networks; Convergence; Electronic mail; Fuzzy neural networks; Fuzzy systems; Information management; Learning systems; Neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location
Kumamoto
Print_ISBN
0-7695-2882-1
Type
conf
DOI
10.1109/ICICIC.2007.55
Filename
4427916
Link To Document