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《Environmental Science & Technology》 2010-05
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Application of Combinatorial Prediction Based on BP Neural Network in Prediction of MSW Output

LU Yu-long,HAN Jing,YU Si-jing,ZHANG Hong-yan (School of Mathematical Science and Computing Technology,Central South University,Changsha 410083,China)  
By analysis of combinatorial prediction theory,a combinatorial prediction model of BP neural network was established according to the model base consisting of double exponential smoothing model,gray prediction model and BP neural network prediction model. Both separate model and the combinatorial model were used to predict the output of municipal solid waste of Hunan Province,the results of each model were compared,which showed that the combinatorial prediction method works more effectively than the other methods.
【Fund】: 国家大学生创新性实验计划项目(LA08037)
【CateGory Index】: TP183;X11
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