Prediction of Specific Charge in tunnel blasting using ANNs
Drilling and blasting is an old and known method of excavation, both for underground and surface applications. Over the years, many researchers have investigated on different aspects of this method while determination of specific charge has been one of the most challenging topic. Many specifications of rock and explosive material are influencing the amount of required charge for each application and the conventional methods can not easily incorporate all of them. This research focuses on using “artificial neural networks for prediction of specific charge based on certain input parameters. Results show that the method is very powerful to do so with high accuracy. However, increase of number of data can significantly improve the performance of the model.
A.Jafari M.F.Hossaini A.Alipour
School of Mining Engineering, University of Tehran
国际会议
香港
英文
1-5
2009-05-19（万方平台首次上网日期，不代表论文的发表时间）