摘要
应用人工神经网络方法预测煤的发热量, 网络的训练数据集来自动力用煤国家标准物质标准值。人工神经网络成功预测动力用煤的发热量, 说明人工神经网络能够处理煤的发热量与工业分析各组分间的非线性关系。
To forecast the calorific value of coal with method of ANN,the data set for training network was got from the national standard of coal. The artificial neural network successfully forecasted the calorific value of coal supplied for power plants,which indicates that ANN could deal with the nonlinear relationship between calorific value of coal and different components of industrial analysis.
出处
《广东电力》
1999年第5期14-16,共3页
Guangdong Electric Power