A hybrid artificial bee colony algorithm-artificial neural network for forecasting the blast-produced ground vibration

• Main Authors: Taheri, K., Hasanipanah, M., Golzar, S. B., Majid, M. Z. A.
• Format: Article
• Published: Springer London 2017
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/id/eprint/76136/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85007238758&doi=10.1007%2fs00366-016-0497-3&partnerID=40&md5=5920cec37c2403c31a51f22058f0ee8f
• Institution: Universiti Teknologi Malaysia

Drilling and blasting is an inseparable part of the rock fragmentation process in open-pit mines. Prediction of blast-produced ground vibration is considered as an important issue in blasting works. The aim of this study is to propose a hybrid model for predicting blast-produced ground vibration in...