Evaluation and Optimization of Prediction of Toe that Arises from Mine Blasting Operation Using Various Soft Computing Techniques
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Environmental Science
Link
http://link.springer.com/content/pdf/10.1007/s11053-019-09605-2.pdf
Reference77 articles.
1. Armaghani, D. J., Amin, M. F. M., Yagiz, S., Faradonbeh, R. S., & Abdullah, R. A. (2016a). Prediction of the uniaxial compressive strength of sandstone using various modeling techniques. International Journal of Rock Mechanics and Mining Sciences,85, 174–186.
2. Armaghani, D. J., Hajihassani, M., Marto, A., Faradonbeh, R. S., & Mohamad, E. T. (2015a). Prediction of blast-induced air overpressure: A hybrid AI-based predictive model. Environmental Monitoring and Assessment,187(11), 666–678.
3. Armaghani, D. J., Hajihassani, M., Monjezi, M., Mohamad, E. T., Marto, A., & Moghaddam, M. R. (2015b). Application of two intelligent systems in predicting environmental impacts of quarry blasting. Arabian Journal of Geosciences. https://doi.org/10.1007/s12517-015-1908-2.
4. Armaghani, D. J., Hajihassani, M., Sohaei, H., Mohamad, E. T., Marto, A., Motaghedi, H., et al. (2015c). Neuro-fuzzy technique to predict air-overpressure induced by blasting. Arabian Journal of Geosciences,8, 10937–10950.
5. Armaghani, D. J., Hasanipanah, M., Amnieh, H. B., Bui, B. T., Mehrabi, P., & Khorami, M. (2019a). Development of a novel hybrid intelligent model for solving engineering problems using GS-GMDH algorithm. Engineering with Computers. https://doi.org/10.1007/s00366-019-00769-2.
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