Genetic programing and non-linear multiple regression techniques to predict backbreak in blasting operation

Author:

Shirani Faradonbeh Roohollah,Monjezi Masoud,Jahed Armaghani Danial

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,General Engineering,Modeling and Simulation,Software

Reference42 articles.

1. Bhandari S (1997) Engineering rock blasting operations. Taylor & Francis, Boca Raton

2. Hajihassani M, Jahed Armaghani D, Marto A, Tonnizam Mohamad E (2014) Ground vibration prediction in quarry blasting through an artificial neural network optimized by imperialist competitive algorithm. Bull Eng Geol Environ. doi: 10.1007/s10064-014-0657-x

3. Jahed Armaghani D, Tonnizam Mohamad E, Hajihassani M, Alavi Nezhad Khalil Abad SV, Marto A, Moghaddam MR (2015) Evaluation and prediction of flyrock resulting from blasting operations using empirical and computational methods. Eng Comput. doi: 10.1007/s00366-015-0402-5

4. Khandelwal M, Monjezi M (2013) Prediction of backbreak in open-pit blasting operations using the machine learning method. Rock Mech Rock Eng 46(2):389–396

5. Jahed Armaghani D, Hajihassani M, Mohamad ET, Marto A, Noorani SA (2014) Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization. Arab J Geosci. doi: 10.1007/s12517-013-1174-0

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