Bài viết đã nghiên cứu và phát triển một mô hình tính toán mềm để dựbáo chấn động nổ mìn trên mỏ lộ thiên sử dụng kỹ thuật lập trình di truyền. Cụm mỏ đá Tân Đông Hiệp (Bình Dương) được chọn làm nghiên cứu điển hình và một phương trình phi tuyến tính sẽ được đề xuất để dự báo chấn động nổ mìn cho khu vực này. | Journal of Mining and Earth Sciences Vol. 61 Issue 5 2020 107 - 116 107 A novel soft computing model for predicting blast - induced ground vibration in open - pit mines using gene expression programming Hoang Nguyen 1 2 Nam Xuan Bui 1 2 Hieu Quang Tran 1 2 Giang Huong Thi Le 3 1 Department of Surface Mining Mining Faculty Hanoi University of Mining and Geology 18 Vien st. Duc Thang ward Bac Tu Liem dist. Hanoi Vietnam. 2 Center for Mining Electro - Mechanical research Hanoi University of Mining and Geology 18 Vien st. Duc Thang ward Bac Tu Liem dist. Hanoi Vietnam 3 Department of Mathematical Basic Sciences Faculty Hanoi University of Mining and Geology 18 Vien st. Duc Thang ward Bac Tu Liem dist. Hanoi Vietnam ARTICLE INFO ABSTRACT Article history The efforts of this study are to develop and propose a state - of - the - art Received 25th Aug. 2020 model for predicting blast - induced ground vibration in open - pit mines Accepted 24th Sept. 2020 with high accuracy anf ability based on the gene expression programming Available online 10th Oct. 2020 GEP technique. 25 blasts were conducted in the Tan Dong Hiep quarry Keywords mines with a total of 83 blasting events that were collected for this study. Artificial intelligence The GEP method was then applied to develop a non - linear equation for Gene expression predicting blast - induced ground vibration based on a variety of influential parameters. A traditional empirical equation namely programming Sadovski was also applied to compare with the proposed GEP model. The Ground vibration results indicated that the GEP model can predict blast - induced ground Machine learning vibration in open - pit mines better than the Sadovski model with an RMSE Open - pit mine. of and R2 of . Meanwhile the traditional empirical model Sadovski only provided an accuracy with an RMSE of và R2 of . Copyright 2020 Hanoi University of Mining and Geology. All rights reserved. ___________ Corresponding author
