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

Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization

Danial Jahed Armaghani, Mohsen Hajihassani, Edy Tonnizam Mohamad et al. · Arabian Journal of Geosciences · 2013 · 387 citations

Engineering, Computer Science, Mining Engineering +17

Prediction of compressive and tensile strength of limestone via genetic programming

Adil Baykasoğlu, Hamza Güllü · Expert Systems with Applications · 2007 · 322 citations

Engineering, Civil Engineering, Geological Engineering +14

A hierarchical analysis for rock engineering using artificial neural networks

Yingjie Yang, Qian Zhang · Rock Mechanics and Rock Engineering · 1997 · 285 citations

Engineering, Civil Engineering, Mining Engineering +16

Application of two non-linear prediction tools to the estimation of tunnel boring machine performance

Candan Gökçeoğlu, Ebru Akçapınar Sezer, Serdar İplikçi · Engineering Applications of Artificial Intelligence · 2009 · 262 citations

Engineering, Civil Engineering, Performance Measurement +8

Ground vibration prediction in quarry blasting through an artificial neural network optimized by imperialist competitive algorithm

Mohsen Hajihassani, Danial Jahed Armaghani, Aminaton Marto et al. · Bulletin of Engineering Geology and the Environment · 2014 · 256 citations

Engineering, Computer Science, Mining Engineering +15