1) Cut-off Grade
截止品位
1.
Theory and Method of Intelligent Optimizing Cut-off Grade and Grade of Crude Ore
截止品位与入选品位智能优化的理论与方法研究
2.
An in-depth study on genetic algorithms such as genetic algorithm,neural networks and fuzzy logic is carried through and applied to the complex mine production system to resolve the optimization of cut-off grade and beneficiation feed grade.
对遗传算法、神经网络和模糊逻辑等智能算法进行深入研究并将其应用于复杂的矿山生产系统中,解决放矿截止品位和入选品位的优化问题。
3.
We use particle swarm optimization(PSO) and neural networks(NN) nesting technique to simulate the high complex and high non-linear relation of variables in mine system,so as to optimize the cut-off grade and grade of crude ore.
利用粒子群算法(PSO)与神经网络(ANN)嵌套的技术(PSO-ANN)模拟矿山这个高度复杂和高度非线性的系统,来优化截止品位及入选品位。
2) cut-off grade for ore drawing
放矿截止品位
1.
Study on Reasonable Cut-off Grade for Ore Drawing in Sublevel Caving Method;
无底柱分段崩落法合理放矿截止品位的研究
3) Cut-off grade drawing
截止品位放矿
4) Ore removal cut off grade
出矿截止品位
5) cutoff grade of ore drawing
截止放矿品位
1.
Based on the technical and economical index, an optimal decision for the cutoff grade of ore drawing is presented.
在获取矿石技术经济指标的基础上，对截止放矿品位进行了优选政策。
6) Current cut-off grade drawing
现行截止品位放矿
补充资料：截止
（到一定期限）停止：报名在昨天已经～。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条