重介质选煤悬浮液密度智能给定系统设计
Design of intelligent given density system for dense medium suspension
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摘要: 针对传统人工凭经验给定悬浮液密度值方法存在的准确度低的问题,提出了利用BP神经网络控制方法进行悬浮液密度智能给定的方法,并利用此方法对从郭屯选煤厂生产现场采集到的数据进行了训练和预测。结果表明:利用BP神经网络对重介悬浮液密度值进行智能给定是完全可行的,从而为重介质选煤悬浮液密度的智能给定提供了技术途径。Abstract: Because the given density value of dense medium suspension is lower in accuracy,which is caused by traditional method by experience,BP neural network control method is raised for intelligent given density. It has been used to predict and test production data from Guotun coal preparation plant.The results show that this method is entirely feasible and also can be a reference for setting density of dense medium suspension.
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