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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Vydané v:	Natural resources research (New York, N.Y.) Ročník 34; číslo 6; s. 3449 - 3475
Hlavní autori:	Hasanipanah, Mahdi, Amnieh, Hassan Bakhshandeh
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer Nature B.V 01.12.2025
Predmet:	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
On-line prístup:	Získať plný text
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