Investigating the effective parameters on the risk levels of rockburst phenomena by developing a hybrid heuristic algorithm
When working on underground projects, especially where ground is burst prone, it is of a high significance to accurately predict the risk of rockburst. The present paper integrates the firefly algorithm (FA) and artificial neural network (ANN) aiming at modeling the complex relationship between the...
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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Springer-Verlag London Ltd
2021
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/31075/ http://dx.doi.org/10.1007/s00366-019-00908-9 |
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