Prediction and optimization of back-break and rock fragmentation using an artificial neural network and a bee colony algorithm

• Main Authors: Ebrahimi, Ebrahim, Monjezi, Masoud, Khalesi, Mohammad Reza, Armaghani, Danial Jahed
• Format: Article
• Published: Springer Verlag 2016
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/id/eprint/73901/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-84957426354&doi=10.1007%2fs10064-015-0720-2&partnerID=40&md5=412a14e7f7866d79ec72c6ef455676bc

In blasting works, the aim is to provide proper rock fragmentation and to avoid undesirable environmental impacts such as back-break. Therefore, predicting fragmentation and back-break is a significant step in achieving a technically and economically successful outcome. In this paper, considering th...