煤炭消费量预测的人工神经网络方法  

Study on Prediction of the Coal Consumption Based on the Method of Artificial Neural Network

作　　者：彭建良[1] 

机构地区：[1]中国矿业大学工商管理学院

出　　处：《中国矿业大学学报》1997年第3期63-67,共5页Journal of China University of Mining & Technology

基　　金：煤炭科学基金

摘　　要：基于我国１９７８～１９９４年间煤炭消费量的实际数据，采用人工神经网络的方法对影响煤炭消费量的主要因素进行了模拟分析．并应用训练好的神经网络模型预测煤炭消费量，经实际样本检验表明，这种预测方法的预测精度较高．以此预测了我国１９９５～２０００年的煤炭消费量．Based on the coal consumption data of 1978￣1994, the simulation analysis for the main factors of influencing the coal consumption is made by using the artificial neural network method. Because of the satisfactory degree of accuracy, the trained network can be used in forecasting the coal consumption, and that has been evidenced by the sample of actual data. So the prediction of coal consumption for the year 1995￣2000 is made by the neural network.

关 键 词：煤炭 消费量 神经网络 共轭梯度 人工神经网络 

分 类 号：F426.21[经济管理—产业经济]