Predicting Blast-Induced Ground Vibration in Open-Pit Mines Using Different Nature-Inspired Optimization Algorithms and Deep Neural Network
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Environmental Science
Link
https://link.springer.com/content/pdf/10.1007/s11053-021-09896-4.pdf
Reference83 articles.
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3. Amiri, M., Hasanipanah, M., & Bakhshandeh Amnieh, H. (2020). Predicting ground vibration induced by rock blasting using a novel hybrid of neural network and itemset mining. Neural Computing and Applications, 32, 14681–14699 (2020). https://doi.org/10.1007/s00521-020-04822-w
4. Armaghani, D. J., Hasanipanah, M., Amnieh, H. B., & Mohamad, E. T. (2018). Feasibility of ICA in approximating ground vibration resulting from mine blasting. Neural Computing and Applications, 29(9), 457–465.
5. Jahed Armaghani, D., Kumar, D., Samui, P., Hasanipanah, M., & Roy, B. (2020). A novel approach for forecasting of ground vibrations resulting from blasting: Modified particle swarm optimization coupled extreme learning machine. Engineering with Computers. https://doi.org/10.1007/s00366-020-00997-x
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