Prediction of Flyrock in Mine Blasting: A New Computational Intelligence Approach

Author:

Nikafshan Rad Hima,Bakhshayeshi Iman,Wan Jusoh Wan Amizah,Tahir M. M.,Foong Loke Kok

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science

Reference54 articles.

1. Akhtarpour, A., & Khodaii, A. (2014). A study of the seismic response of asphaltic concrete used as a core in rockfill dams. Journal of Seismology and Earthquake Engineering,16(3), 169–184.

2. Aliev, R. A., Guirimov, B. G., Fazlollahi, B., & Aliev, R. R. (2009). Evolutionary algorithm-based learning of fuzzy neural networks. Part 2: Recurrent fuzzy neural networks. Fuzzy Sets and Systems,160(17), 2553–2566.

3. Amiri, M., Amnieh, H. B., Hasanipanah, M., & Khanli, L. M. (2016). A new combination of artificial neural network and K-nearest neighbors models to predict blast-induced ground vibration and air-overpressure. Engineering with Computers,32(4), 631–644.

4. Bajpayee, T., Rehak, T., Mowrey, G., & Ingram, D. (2004). Blasting injuries in surface mining with emphasis on flyrock and blast area security. Journal of Safety Research,35(1), 47–57.

5. Duong, H. N., Nguyen, Q., Ta Bui, L., Nguyen, H., & Snášel, V. (2014). Applying recurrent fuzzy neural network to predict the runoff of Srepok River. In IFIP International conference on computer information systems and industrial management CISIM: computer information systems and industrial management (pp 55–66).

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