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基于Matlab的BP神经网络煤炭需求预测模型
引用本文:胡雪棉,赵国浩. 基于Matlab的BP神经网络煤炭需求预测模型[J]. 中国管理科学, 2008, 0(Z1)
作者姓名:胡雪棉  赵国浩
作者单位:山西财经大学管理科学与工程学院;
摘    要:煤炭是中国的基础能源,支撑着国民经济的高速发展。在未来的一段时期,煤炭的基础能源地位不会改变。要合理利用煤炭资源,保证我国经济的健康发展,煤炭需求的预测必不可少。近年来煤炭需求的预测存在一定的不足,精度较低。本文基于Matlab技术的双隐层BP神经网络对煤炭需求进行模拟分析,通过实际数据检验和实证分析,预测了未来五年的煤炭需求量。

关 键 词:前馈(Back-Propagation)神经网络  煤炭需求  预测  模型  

Forecasting Model of Coal Demand Based on Matlab BP Neural Network
HU Xue-mian,ZHAO Guo-hao. Forecasting Model of Coal Demand Based on Matlab BP Neural Network[J]. Chinese Journal of Management Science, 2008, 0(Z1)
Authors:HU Xue-mian  ZHAO Guo-hao
Affiliation:HU Xue-mian,ZHAO Guo-hao (School of Management Science , Engineering,Shanxi University of Finance , Economics,Taiyuan 030006,China)
Abstract:Coal is a key of basic energy in China,and it supports the rapid development of the national economy.In the coming period,coal's basic energy position will not change.Therefore the forecast of coal demand is particularly important for the rational use of coal resources and the sound development of China's economy.In recent years,there are some limitation of the demand for coal forecast.The double hidden layers BP neural network is established based on Matlab technology and to be simulated in this paper.Afte...
Keywords:BP neural network  double hidden layers  coal demand  forecasting  model  
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