摘要
在 MATL AB环境下应用神经网络工具箱对动力煤的特性如低位发热量、着火稳燃指数、燃烬指数、综合结渣指数等进行预测 ,取得了较好的效果。与常规的研究方法相比 ,采用神经网络方法可以获得较高的精度 ,证明这是一种很好的研究方法。
The characteristics of coals for power generation,such as the net heating value( Q ar net ),the igneous and steady combustion numeric( R W),the burn\|out numeric( R J),and the total slag bonding numeric( R Z) are predicted based on the Neural Networks Toolbox of MATLAB.Better accuracy can be abtained by the method in the paper in comparison with the conventional methods.This method can be considered as a good way for studying the coal charecteristics.
出处
《现代电力》
2001年第3期1-6,共6页
Modern Electric Power
