An Improved Method of Wavelet Neural Network Optimization Based on Filled Function Method

被引:0
|
作者
Huang Feng-wen [1 ]
Jiang Ai-ping [2 ]
机构
[1] Shanghai Urban Management Coll, Res Ctr Finance, Shanghai, Peoples R China
[2] Shanghai Univ, Sydney Inst Language & Commerce, Shanghai 200041, Peoples R China
来源
2009 IEEE 16TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT, VOLS 1 AND 2, PROCEEDINGS | 2009年
关键词
BP algorithm; Filled function; Optimization; Wavelet neural network; UNCONSTRAINED GLOBAL OPTIMIZATION;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
BP algorithm of neural network don't obtain global minimum sometimes[2-5], furthermore, it is possible to create many local minimum so that the optimum solution can't be found. In order to solve this question, one parameter filled function method[1] is presented which can calculate value fast. We combine it with modified BFGS (Broyden-Davidon-Fletcher- Powell) to get a new algorithm for global optimization of wavelet neural network. The algorithm obtain the first local minimum by BFGS, then filled function method is used to obtain another smaller local minimum, this process is repeated for some times so that the network structure and weight value are optimized till global minimum is found. This method is used to train Shanghai stock index, then better network performance is obtained.
引用
收藏
页码:1694 / +
页数:3
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