Constructing Intelligent Forecasting System of Coke Quality

摘要：

The coke quality prediction b an important conundrum in the coking plant due to the complicated parameters and complex mathematical model in the process of coking. By using the method of a non-linear characteristics and self-learning ability of BP neural network prediction of coke qualitydhe results show that artificial neural network prediction is consistent with the experimental results with higher accuracy which show the feasibility of forecasting methods. Further more, Coke quality prediction system will be completed by using the method mixed with MATLAB software and VB programming.

关键词： coke neural nctwork simulation VB

作者: Zhao Shu-guo Song Huan-hu Shi Tao

作者单位: Academic Affairs Department Hebei Ploytechnic University Kailuan Group Tangshan, China Affiliation Academic Affairs Department Hebei Ploytechnic University Tangshan, China

会议类型: 国际会议

会议名称: 2010 International Conference on Information Security and Artificial Intelligence(2010年信息安全与人工智能国际会议 ISAI 2010)

会议地点: 成都

会议语种:英文

页码: 19-21

在线出版日期: 2010-12-17（万方平台首次上网日期，不代表论文的发表时间）