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露天开采时矿体边界品位动态优化的神经网络方法
引用本文:黄光球,桂中岳.露天开采时矿体边界品位动态优化的神经网络方法[J].中国矿业,1996,5(4):65-70.
作者姓名:黄光球  桂中岳
作者单位:西安建筑科技大学
基金项目: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
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。

关 键 词:边界品位  露天开采  开采计划  神经网络

A DYNAMIC OPTIMIZATION METHOD OF OREBODY CUTOFF GRADE FOR SURFACE MINING BASED ON NEURAL NETWORK
Huang Guangqiu, Gui Zhongyue.A DYNAMIC OPTIMIZATION METHOD OF OREBODY CUTOFF GRADE FOR SURFACE MINING BASED ON NEURAL NETWORK[J].China Mining Magazine,1996,5(4):65-70.
Authors:Huang Guangqiu  Gui Zhongyue
Abstract: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.
Keywords:Cutoff grade  Surface mining  Production scheduling Neural network  
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