A Study on Forecasting Coal Demand Based on BP Neural Network

摘要：

Coal is a key of basic energy in China, and it supports the rapid development of the national economy. In the coming period, coal will also play the very important role in base energy. Therefore, the prediction of coal demand is particularly important in future. In this paper, the double hidden layers BP neural network is established and simulated based on Matlab technology. After testing actual data, the coal demand for next five years is forecasted with the methods. And also some conclusion are made in the paper.

关键词： BP neural network double hidden layers coal demand resources management

作者: Xue-mian Hu Guo-hao Zhao Jun Zhao

作者单位: School of Management Science and Engineering Shanxi University of Finance and Economics Shanxi, Chin College of Automation Northweatem Polytechnical University Shanxi, China

会议类型: 国际会议

会议名称: The 4th International Conference on Wireless Communications, Networking and Mobile Computing(第四届IEEE无线通信、网络技术及移动计算国际会议)

会议地点: 大连

会议语种:英文

页码: 1-5

在线出版日期: 2008-10-12（万方平台首次上网日期，不代表论文的发表时间）