基于BP神经网络的煤炭成本预测研究

Research on Coal Cost Prediction Based on BP Neural Network

根据煤炭企业的实际情况,分析并找出影响煤炭价格的主要因素,采用BP人工神经网络作为煤炭价格模型的非线性建模方法,对煤炭价格进行预测并通过误差对比分析其准确性。结果表明,BP神经网络能很好地反映变量之间的非线性相关性,并且能够高精度地预测煤炭价格,为煤炭企业的生产经营决策和政府部门政策体系的建立提供了重要依据。

According to the actual situation of coal enterprises,the main factors affecting coal price are analyzed and found.BP artificial neural network is used as the nonlinear modeling method of coal price model.The coal price is predicted and its accuracy is analyzed by error comparison.The results show that BP neural network can reflect the nonlinear correlation between variables well,and can predict the coal price with high precision,which provides an important basis for the coal industry’s production and operation decision-making and the establishment of government department policy system.