A Monte Carlo simulation approach for effective assessment of flyrock based on intelligent system of neural network

• Published in: Engineering with computers Vol. 36; no. 2; pp. 713 - 723
• Main Authors: Zhou, Jian, Aghili, Nasim, Ghaleini, Ebrahim Noroozi, Bui, Dieu Tien, Tahir, M. M., Koopialipoor, Mohammadreza
• Format: Journal Article
• Language: English
• Published: London Springer London 01.04.2020; Springer Nature B.V
• Subjects: Artificial neural networks; CAE) and Design; Calculus of Variations and Optimal Control; Optimization; Classical Mechanics; Computer Science; Computer simulation; Computer-Aided Engineering (CAD; Control; Environmental effects; Hazards; Math. Applications in Chemistry; Mathematical and Computational Engineering; Mathematical models; Monte Carlo simulation; Multiple regression analysis; Neural networks; Original Article; Parameters; Risk assessment; Surface mines; Systems Theory; ANN; Flyrock phenomenon; Sensitivity analysis; Risk assessment; Monte Carlo simulation

One of the undesirable phenomena in the surface mines, which results in various hazards for human and facilities, is flyrock. It seems that the careful study of the subject and its effects on the environment can affect the control of flyrock hazards in the studied area. Therefore, the use of intelli...