Sustainable Rock Fragmentation Improvement Using Artificial Intelligence: Minimizing Blast Toe Volume for Safer and Cleaner Operations

OF MINING AND ENVIRONMENT
اطلاعات دوره:
سال:
2026
دوره:
17
شماره:
1
صفحات:
143-169
کلیدواژه:
Blasting Q4
Adaptive Boosting
Artificial Neural Networks
Imperialist Competitive Algorithm
چکیده:
This study developed and assessed several artificial intelligence (AI) models for predicting blast-induced toe volume in small-scale dolomite mines located in the Akoko Edo Local Government Area, Edo State, Nigeria. Seven predictive models were constructed: Adaptive Boosting (AdaBoost), Random Forest (RF), Gaussian Process Regression (GPR), Support Vector Regressio

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