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《Journal of Anhui University of Technology and Science》 2004-04
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Research on corn production prediction based on RBF neural network

WU Chang-Rong, HU Xue-Gang(Inst. of Comp. & Info. , Hefei Univeisity of Technology, Hefei 230009, China; Dept. of Comp. ,Wuhu Teachers' College, Wuhu 241001, China)  
It is an important problem to improve the prediction precision and efficiency of the corn production prediction in China. The structure, the training methods and characteristics of RBF neural network are introduced briefly. A RBF neural network model is established based on the relationship between corn production and its influential factors to predict the multi-relative factors and non-linear time series. A simulation experimental investigation has been done, with satisfying results.
【CateGory Index】: F224
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