人工神经BP网络预测露天采场爆堆矿石质量的方法
QUALITY PREDICTION OF BLASTING MUCKPILE ORE IN OPEN PIT BY ARTIFICIAL NEURAL BP NETWORK
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摘要: 露天矿采场的矿石质量数据预测控制的准确程度直接影响着矿石质量的利用,它是矿石质量管理的原始数据,是输出矿石质量能否稳定和均匀的前提和保证。人工神经BP网络控制预测露天矿采场爆堆的矿石质量,既可减轻目前人工爆堆取样的劳动强度,又可减少大量的化验费用Abstract: The precision of ore quality prediction in open pit imposes a direct impact on the comprehensive usage of ore.It is the original data for ore quality management,and perquisite & guarantee of the stability and evenness of output ore.Quality prediction of blasting muckpile ore in open pit by artificial neural BP network can not only lighten the labor intensity of manual blasting muckpile sampling,but also reduce substantially the lab cost.
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