Enhancing Ground Vibration Prediction in Mine Blasting: A Committee Machine Intelligent System Optimized with Metaheuristic Algorithms

Ground vibrations resulting from mine blasting pose significant risks to nearby structures and the environment. This paper introduces an advanced framework employing Committee Machine Intelligent Systems (CMIS) optimized by cutting-edge metaheuristic algorithms to predict ground vibrations. Initiall...

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Veröffentlicht in:	Natural resources research (New York, N.Y.) Jg. 34; H. 6; S. 3449 - 3475
Hauptverfasser:	Hasanipanah, Mahdi, Amnieh, Hassan Bakhshandeh
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer Nature B.V 01.12.2025
Schlagworte:	Accuracy Algorithms Artificial neural networks Bayesian analysis Blasting Error analysis Explosives Genetic algorithms Ground motion Heuristic methods Mathematical models Neural networks Optimization Optimization algorithms Predictions Quantiles Regularization Sensitivity analysis Support vector machines Swarm intelligence Uncertainty analysis Variables Velocity Vibration Vibration analysis Vibrations
ISSN:	1520-7439, 1573-8981
Online-Zugang:	Volltext
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