摘要
本文提出了以净现值最大为优化目标，考虑采、选、冶生产能力，品位分布以及开采计划要求的露天矿矿体边界品位动态代化模型，并应用神经网络理论提出了该模型的求解方法。
This paper represents a dynamic optimization method of orebody cutoff grade for surfacemining based on neural network. In the method, the maximum net present value is taken as the optimizingobjective and such factors as mining, concentrating and refining capacities, grade distribution and productionscheduling are taken into account.
出处
《中国矿业》
1996年第4期65-70,共6页
China Mining Magazine
基金
国家"九五"重点科技项目!<合理入选品位综合评价研究>95-526-04-01
关键词
边界品位
露天开采
开采计划
神经网络
采矿
Cutoff grade,Surface mining,Production scheduling Neural network
