A Neural Network Model of Blasting Parameter Design for Controlling Blasting Flying Rock

摘要：

The relationship between blast results and its influence factors is multi-factor with multiobjective and such a relationship cannot be established accurately. However, the modern engineering blasting must have subtle objective especially controlling blasting flying rock and so on. A neural network model can be used to relate the multiple factors with multipile objective questions by establishing a neural network model between blast flying rock with blast parameters and by training the model using existing data. The model can offer reasonable blast design parameter according to different blast flying rock control demands. Simulation result indicated that the model can be applied to practical problems.

作者: YAO Jinjie WANG Guizhu DONG Chuanpin JIN Zhihui

作者单位: Department of engineering mechanics, College of Hydraulic & Environmental Engineering, China Three G Yichang Daxing Blasting Co.,Ltd , Yichang, Hubei, 443002, China

会议类型: 国际会议

会议名称: The 3rd Asian-Pacific Symposium on Engineering Blasting and the International Conference on Physical Problems of Rock Destruction(第三届亚太地区爆破技术研讨会暨第七届岩石破碎物理问题国际会议)

会议地点: 厦门

会议语种:英文

页码: 59-61

在线出版日期: 2011-08-10（万方平台首次上网日期，不代表论文的发表时间）