基于人工智能方法的铁矿开采过程最优解自动选择系统

S. Popov, M. Ishchenko, Anton Mohil, Inga Kovnitska, L. Ishchenko
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引用次数: 1

摘要

本文研究了基于遗传算法和经济数学建模的铁矿石反射选择自动化系统在铁矿开采行业中的解决方案。如果没有人工智能的引入,这些作品的组合是不可能的,因为选择最优的模型组合是基于百万分之一的选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Automated System for Selection of Optimal Solutions for the Process of Iron Ore Mining Based on Artificial Intelligence Methodology
This paper about solution in iron ore mining industry which based on automated system for selection of reflection of iron ores by genetic algorithm and economic-mathematical modeling BDW (Blasting and drilling work). The combination of these works is not possible without the introduction of artificial intelligence because the choice of the optimal combination of models is based on the selection of one in a million.
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