The Demand Prediction Model of Coal based on BP Neural Network

摘要：

BP neural network is an effective method for decision-making. This paper established BP neural network prediction models of Chinas coal demand by using BP neural network theory, which is based on the real data. The result shows that the error between the predicted value and the actual consumption is small, and the predicted result reaches a very high accuracy, which shows that the model can achieve high credibility, especially in recent prediction results.

关键词： BP neural network coal demand prediction

作者: Wang Xiaomei Wang Hongmei Zhai Juanjuan

作者单位: Henan Polytechnic University, Jiaozuo, Henan, China, 454000 Henan Polytechnic University, Jiaozuo, Henan, China, 454000 Nanyang Architecture Design and Researc

会议类型: 国际会议

会议名称: 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering(计算机与通信技术在农业工程国际会议 CCTAE 2010)

会议地点: 成都

会议语种:英文

页码: 193-196

在线出版日期: 2010-06-12（万方平台首次上网日期，不代表论文的发表时间）