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《Journal of Finance and Economics》 2006-03
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Research of Data Mining Method Based on Self-adaptation Wavelet Neural Network-Prediction Analysis of Petroleum Yield

LIU Lanjuan,XIE Meiping(School of Information Management & Engineering,Shanghai University of Finance & Economics,Shanghai 200433,China)  
Wavelet neural network,which is based on wavelet analysis,is sort of feed forward network developed in recent years.In this paper,combining the theories of wavelet and neural network together,a new method of the selfadaptation wavelet neural network for data mining is proposed and a machine study mechanism is then constructed in order to improve the capability of the former in tackling problems.Later on,the selfadaptation wavelet neural network is used to model and predict the petroleum yield,and the following results successfully prove that such an application is effective and feasible.
【CateGory Index】: F224
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