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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| Format: | Article |
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Springer-Verlag London Ltd
2021
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