Prediction and Analysis Method of Mine Blasting Quality Based on GA-BP Neural Network

Selecting reasonable blasting parameters of ore and rock is an important measure to achieve good blasting effect. In the mining process, rock fragmentation is an important index to evaluate the blasting effect, which directly affects the technical scheme, equipment selection, economic effect, and ot...

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Veröffentlicht in:	Mobile information systems 2022-09, Vol.2022, p.1-8
Hauptverfasser:	Yu, Jianyang, Ren, Shijie
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Back propagation networks Blasting Computer simulation Decision making Design parameters Economic impact Efficiency Genetic algorithms Information systems Innovations Machine learning Mathematical models Mines Neural networks Object recognition Optimization Pattern recognition Tensile strength
Online-Zugang:	Volltext
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