Forecast of Blasting Fragmentation Distribution Based on BP Neural Network

摘要：

　　The influence factors of rock blasting fragmentation distribution are analyzed,10 main influence factors are selected from these.Using the MATLAB BP neural network model system to analyze blasting fragmentation distribution of +860 level face at Yi Chun tantalum-niobium mine,successfully predicted the blasting fragmentation distribution,it is favorable to design the blasting parameters and industrial production.

关键词： blasting fragmentation BP neural network blasting parameters forecast

作者: Gao Hong Fu Zhi liang

作者单位: Anhui University of Science and Technology,china Key Laboratory of Coal Mine Safey and High-Efficiency Mining Cosponsored by Province & Ministry Doct

会议类型: 国际会议

会议名称: The First International Workshop on Hydraulic Equipment and Support Systems for Mining (第一届液压技术与矿山装备国际研讨会(IWHEM2012))

会议地点: 辽宁葫芦岛

会议语种:英文

页码: 3-8

在线出版日期: 2012-08-07（万方平台首次上网日期，不代表论文的发表时间）