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BP神经网络预测模型及应用 被引量:3

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摘要 采用BP神经网络的原理,建立神经网络的预测模型,并利用建立的人工神经网络训练并预测车辆的销售量,最后得出合理的评价和预测结果。
作者 付克兰 张玲
出处 《电子技术与软件工程》 2015年第7期259-259,共1页 ELECTRONIC TECHNOLOGY & SOFTWARE ENGINEERING
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  • 1闻新 周露.MATLAB神经网络应用设计[M].北京:科学出版社,2001..
  • 2浙江省统计局.浙江统计年鉴(1987-2002年)[M].北京:中国统计出版社,2003..
  • 3ZHU Ying. Study on the model of demand forecasting based on artificial neural network[C]//The 9th International Symposium on Distributed Computing and Applications to Business, Engineering and Sci- ence. Hong Kong, 2010:382-386.
  • 4AL-BULUSHI N I,KING P R,BLUNT M J. Kraaijveld artificial neural networks workflow and its ap- plication in the petroleum industry[J]. Neural Cornput& Applic,2012,21:409-421.
  • 5CAN B, HEAVEY C. A comparison of genetic programming and artificial neural networks in metamod-eling of discrete-event simulation models[J]. Computers & Operations Research, 2012,39 : 424-436.
  • 6SATTARIA M T, YUREKLI K, PAL M. Performance evaluation of artificial neural network approaches in forecasting reservoir inflow [J]. Applied Mathematical Modelling, 2012,36: 2649-2657.
  • 7JEONGKS, KIMBDK, JUNGCJM, etal. Nonlinear autoregressive modelling by temporal recurrent neural networks for the prediction of freshwater phytoplankton dynamics [J]. Ecol. Model, 2008, 211: 292-300.
  • 8CONEJO A J, PLAZAS M A, ESPINOLA R, et al. Day-ahead eleetricity price forecasting using the wavelet transform and ARIMA modesl [J]. IEEE Trans Power System, 2005, 20(2) : 1035-1042.
  • 9VELTEN K,REINICKE R, FRIEDRICH K, Wear volume predietionwith artificialneuralnetworks [J]. Tribology International, 2000,33 : 731.
  • 10张友兰,周爱民.最优加权组合预测及其应用[J].数量经济技术经济研究,1997,13(10):66-68. 被引量:21

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