摘要
针对国内多数铁矿山矿石来源复杂、选矿技术指标难于准确预测的问题 ,本文提出通过建立人工神经网络模型 ,构筑选矿指标预报专家系统 ,进而优化供矿结构的方法。通过编制相应的计算机程序 ,用实例检验证明了模型和方法的可靠性和实用性。
According to the ore source complexity of many iron mines and the difficultance for accurate forecast of ore dressing index,this paper puts forward a new method to optimize ore mixing structure through establishing artificial nerve network model and building the index forecast expert system of ore dressing.The reliability and feasibility of the model and method are testified by instances.
出处
《中国矿业》
北大核心
2004年第8期56-58,共3页
China Mining Magazine
关键词
配矿
神经网络
选矿指标
Ore mixing
Neural network
Ore Dressing Index
