A comparative study on the application of various artificial neural networks to simultaneous prediction of rock fragmentation and backbreak
Optimization of blasting design in open pit limestone mines with the aim of reducing ground vibration using robust techniques
Performance of hybrid SCA-RF and HHO-RF models for predicting backbreak in open-pit mine blasting operations
Six novel hybrid extreme learning machine–swarm intelligence optimization (ELM–SIO) models for predicting backbreak in open-pit blasting
Hybridizing five neural-metaheuristic paradigms to predict the pillar stress in bord and pillar method
Application of various robust techniques to study and evaluate the role of effective parameters on rock fragmentation
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