DocumentCode :
1599984
Title :
A New Approach to Enterprise Information Fusion: Choquet-Fuzzy-Integral-Based Neural Network
Author :
Wang, Zhengyou
Author_Institution :
Jiangxi Univ. of Finance & Econ., Nanchang
Volume :
5
fYear :
2007
Firstpage :
212
Lastpage :
216
Abstract :
On the basis of Enterprise Information Fusion concept, a new approach of EIF, i.e, Choquet-fuzzy-integral-based neural network is presented. In light of examining the structure characteristics of conventional neural networks, the initial size of the new neural network is determined, a learning algorithm for weight value estimation based on genetic algorithm and back propagation algorithm of neural network is given, and then using the pruning algorithm of general neural network the final size can be done. An experiment is used to verify the validation of the new neural network. And lastly, some discussions and potential trends centering around EIF methods are pointed out.
Keywords :
backpropagation; fuzzy neural nets; genetic algorithms; sensor fusion; Choquet-fuzzy-integral-based neural network; back propagation algorithm; enterprise information fusion; genetic algorithm; learning algorithm; pruning algorithm; weight value estimation; Finance; Fuzzy neural networks; Genetic algorithms; Information technology; Intelligent robots; Military satellites; Neural networks; Neurons; Optical propagation; Research and development;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2007. ICNC 2007. Third International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2875-5
Type :
conf
DOI :
10.1109/ICNC.2007.85
Filename :
4344840
Link To Document :
بازگشت