改进的BP神经网络煤炭需求预测模型

Coal requirement forecasting model of improved BP neural network

针对煤炭需求预测模型的预测结果精确度较低的问题,应用通过附加动量法改进的BP神经网络模型,综合考虑工业用煤(电力、冶金、建材、化工等)的趋势、国内生产总值的年增长率,价格指数、煤在能源消费中的比重等因素的影响,可使此模型对煤炭需求的预测特别是近期预测结果达到较高的可信度。

Problem lower in accuracy that fruit to the prediction of the coal requirement forecasting model, Use and pass the additional momentum improved the model of BP neural network, Consider the Influence in factors,such as,consider the trend of the industrial coal (electricity, metallurgy, building materials, chemical industry and etc.),the rate of increased GDP, rice index, the proportion in the energy-consuming of coal, etc.It can make the model of coal demand prediction especially in the near future reach higher credibility.