[1]WANG Pan,LI You-feng,FENG Shan.Novel integrated algorithm of modular neural network’s?? sub-nets based on Bayesian learning[J].CAAI Transactions on Intelligent Systems,2006,1(2):79-83.
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Novel integrated algorithm of modular neural network’s?? sub-nets based on Bayesian learning

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 1 Number of periods: 2006 2 Page number: 79-83 Column: 学术论文—机器学习 Public date: 2006-10-25
Title:
Novel integrated algorithm of modular neural network’s?? sub-nets based on Bayesian learning
Author(s):
WANG Pan1;  LI You-feng3; ? FENG Shan2
1. School of Automation, Wuhan University of Technology, Wuhan430070, China;
2. Department of Control, Huazhong University of Science and Technology，Wuha n430070, China;
3. School of Information, Zhejiang University, Hangzhou32002 7, China
Keywords:
modular neural network;  Bayesian learning;  subnets ’ integration
CLC:
TP183
DOI:
-
Abstract:
Aiming at the important issue of modular neural network (MNN) — the dynamic integration of the subnets, a novel integrated algorithm based on the improved Bayesian learning is presented. Firstly, the drawbacks of the old algorithm are analyzed from four aspectsthe processing ability for complex problems, compu ting cost, the rationality of trained error limit and the approximated accuracy. Then the corresponding strategy is presented whose key points are adopting a co ncise and lowly correlative subnets generating method, and then a new approxim a ted accuracy index based on the error measure is presented to determine subnet s ’ dynamic integration weights. The effectiveness of the above algorithms was de m onstrated by simulation through the comparative research to two improved algorit hms’ test accuracy.
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