基于神经网络的选煤厂日用水量预测研究

Researches on Daily Water Demand Prediction of Coal Preparation Plant Based on Neural Network

选煤厂用水量是选煤过程的一个重要参量,文章采用单一神经网络训练方法和神经网络集成同时训练方法,通过典型数据训练和现场应用,表明预测精度完全能够满足企业需要,可实现选煤厂日用水量的智能预测,为选煤过程的水量控制提供了依据。

Water demand is one of the major economic parameters in coal preparing procedure. Traditional neural network model and integrated neural network model were raised to predicate the daily water consumption intelligently by typical data training and on-site application. The precision of prediction meets entirely the demand of coal preparation plant and contributes an important basis for policy making to senior administrators.