首页 | 本学科首页   官方微博 | 高级检索  
     

人工神经网络方法在优化动力配煤中的应用研究
引用本文:殷春根,周俊虎.人工神经网络方法在优化动力配煤中的应用研究[J].煤炭学报,1997,22(4):343-348.
作者姓名:殷春根  周俊虎
作者单位:浙江大学
基金项目:“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 动力配煤过程作了应用介绍。

关 键 词:神经网络  优化设计  配煤  动力煤

RESEARCH ON APPLICATION OF ARTIFICIAL NEURAL NETWORKS METHOD IN THE OPTIMUM STEAM COAL BLENDING
Yin Chungen,Zhou Junhu,Luo Zhongyang,Yao QiangCao Xinyu,Tang Longhua,Wu Xiaorong,Cen Kefa.RESEARCH ON APPLICATION OF ARTIFICIAL NEURAL NETWORKS METHOD IN THE OPTIMUM STEAM COAL BLENDING[J].Journal of China Coal Society,1997,22(4):343-348.
Authors:Yin Chungen  Zhou Junhu  Luo Zhongyang  Yao QiangCao Xinyu  Tang Longhua  Wu Xiaorong  Cen Kefa
Affiliation:Zhejiang University
Abstract: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.
Keywords:neural networks  optimum design method  steam coal blending
本文献已被 CNKI 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号