Prediction and optimization of back-break and rock fragmentation using an artificial neural network and a bee colony algorithm
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...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Springer Verlag
2016
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| Subjects: | |
| Online Access: | http://eprints.utm.my/73901/ http://eprints.utm.my/73901/ |
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