%0 Journal Article
%T NEW PREDICTION MODEL FOR DAM DEFORMATION BASED ON DECOUPLED WAVELET AND OPTIMAL NEURAL NETWORKS<br>基于解耦子波和优化神经网络的大坝变形预测
%A CAO Mao-sen
%A REN Qing-wen
%A MAO Wei-bing
%A <br>曹茂森
%A 任青文
%A 毛伟兵
%J 岩石力学与工程学报
%D 2005
%I 
%X The three-stage strategy,proposed by Murtagh,for complicated time series prediction with wavelet and neural networks is improved. Based on the improved strategy,a new prediction model of decoupled wavelet and optimal neural network is proposed to increase the ability of neural networks for dam deformation prediction. Firstly,a new space reconstruction technique based on the main peak reconstruction of energy spectrum of original data is developed using the quasi-wavelet-packet property of redundant Haar wavelet;and then,it is used to substitute for the first stage of the three-stage strategy to built a better neural networks operating platform. Secondly,the optimal-refreshing window technique for neural network self-optimization is developed by using the optimal brain surgeon technique to prune the networks coefficients,and the inner condition of the neural network is optimized by substituting it for the second stage of the three-stage strategy. The adaptability and the analyzing ability of the newly reformed model are increased for the prediction of complicated dynamic system.It is proved by many evaluating indices such as relative mean square error,cross-relation,normal mean square error and direction symmetry in a case of predicting dam deformation that its function is significantly improved as compared with that of the three-stage strategy.
%K hydraulic engineering
%K uncoupled dynamic space
%K neural network optimization
%K prediction model
%K redun dant Haar wavelet transform
%K optimal brain surgeon technique<br>水利工程
%K 动力解耦
%K 神经网络优化
%K 预测模型
%K 冗余Haar小波变换
%K 最优脑外科医生技术
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=D3421FAA1A0A0F0C&jid=35E747D791A1346351AFB523B7FA35CB&aid=1F39562596D78737&yid=2DD7160C83D0ACED&vid=B91E8C6D6FE990DB&iid=F3090AE9B60B7ED1&sid=8CD2A779BF9E6C32&eid=43E2C08889D1FABC&journal_id=1000-6915&journal_name=岩石力学与工程学报&referenced_num=4&reference_num=16