人工神经网络方法在优化动力配煤中的应用研究  

RESEARCH ON APPLICATION OF ARTIFICIAL NEURAL NETWORKS METHOD IN THE OPTIMUM STEAM COAL BLENDING

作　　者：殷春根[1] 周俊虎[1] 骆仲泱 姚强[1] 曹欣玉[1] 汤龙华[1] 吴晓蓉[1] 岑可法[1] 

机构地区：[1]浙江大学

出　　处：《煤炭学报》1997年第4期343-348,共6页Journal of China Coal Society

基　　金："八五"国家重点科技攻关项目

摘　　要：对神经网络ＢＰ算法的一些改进作了大量的数值试验研究，并组合了部分改进方法用于动力配煤问题中状态预测过程的建模．最后把神经网络方法纳入到非线性混合离散变量优化设计方法（ＭＤＯＤ法）中，对杭州配煤场的动力配煤过程作了应用介绍．A large quantity of numerical experiments were conducted for some improvement of BP algorithm of neural networks,some improved methods were combined for setting up model of state estimation process for steam coal blending,at last,the neural networks method is brought into non linear mixed discrete variables optimum design method and its application for steam coal blending process in Hangzhou blending yard is described.

关 键 词：神经网络 优化设计 配煤 动力煤 

分 类 号：TQ520.62[化学工程—煤化学工程]