A new design of evolutionary hybrid optimization of SVR model in predicting the blast-induced ground vibration
This study aims to identify the suitability of hybridizing the firefly algorithm (FA), genetic algorithm (GA), and particle swarm optimization (PSO) with two well-known data-driven models of support vector regression (SVR) and artificial neural network (ANN) to predict blast-induced ground vibration...
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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Springer Science and Business Media Deutschland GmbH
2021
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/95452/ http://dx.doi.org/10.1007/s00366-019-00895-x |
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