A combination of the ICA-ANN model to predict air-overpressure resulting from blasting

Author:

Jahed Armaghani Danial,Hasanipanah Mahdi,Tonnizam Mohamad Edy

Publisher

Springer Science and Business Media LLC

Subject

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

Reference83 articles.

1. Shirani Faradonbeh R, Monjezi M, Jahed Armaghani D (2015) Genetic programing and non-linear multiple regression techniques to predict backbreak in blasting operation. Eng Comput. doi: 10.1007/s00366-015-0404-3

2. Khandelwal M, Kankar PK (2011) Prediction of blast-induced air overpressure using support vector machine. Arabian J Geosci 4:427–433

3. Khandelwal M, Kumar DL, Yellishetty M (2011) Application of soft computing to predict blast-induced ground vibration. Eng Comput 27(2):117–125

4. 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 7:5383–5396

5. 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. Eng. Geol. Environ, Bull. doi: 10.1007/s10064-014-0657-x

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