摘要
采用 BP神经网络原理 ,对精煤压滤过程数据进行处理 ,建立了基于人工神经网络的精煤滤饼水分预测模型。此预测模型的计算值与实测值相比 ,偏差小于 1 % 。
The principle of BP neural networks was used to process the data of float coal filter pressing, so as to establish a prediction model of float coal filter pressing product moisture on the basis of neural networks. The calculation value of the prediction model was compared with actual measurements resulting in a deviation less than 1%. This model can reflect the feature in the course of float coal filter pressing truly.
出处
《煤炭科技》
2002年第1期1-3,共3页
Coal Science & Technology Magazine
关键词
神经网络
精煤压滤
预测模型
neural networks
float coal filter pressing
prediction model
