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《Computer Science》 2005-10
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An Optimization Algorithm on the Number of Hidden Layer Nodes in Feed-forward Neural Network

XIA Ke-Wen;LI Chang-Biao;SHEN Jun-Yi School of Electronic & information Engineering, Xi'an Jiaotong University, Xi'an 710049  
There is not any theory able to design the number of hidden layer nodes in feed-forward neural network, so an optimization algorithm is presented based on the principle of golden section, first determining the interval which fre- quent appears the number of hidden layer nodes, using the total error of network as the result of experiment, then searching the perfect number of hidden layer nodes in the interval by the method of golden section. Considered the need of high precision, the more perfect number of hidden layer nodes enhancing the approximation capability of network can be searched in the extended range of interval. The algorithm analysis and the simulation experiment show the optimiza- tion algorithm not only can design the perfect number of hidden layer nodes, but also can save cost and improve search efficiency.
【Fund】: 国家自然科学基金(编号:60173058);; 中国石油天然气集团公司“九五”重点攻关项目(编号:2001-6-1)资助
【CateGory Index】: TP183
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