中国电机工程学报2001，Vol.21Issue(1)：63-67,72,6.
最小RBF网设计的进化优选算法及其在动力配煤过程状态预测建模中的应用
EVOLUTIONARY SELECTING ALGORITHM FOR DESIGNING MINIMAL RBF NETS AND ITS APPLICATION IN COAL BLENDING
魏海坤 1徐嗣鑫 1宋文忠 1吴福保1
作者信息
- 1. 东南大学自动化研究所,江苏 南京 210096
- 折叠
摘要
Abstract
This paper proposes an evolutionary selecting algorithm (ESA) to design RBF nets. Given an accuracy limit, ESA can design a RBF net with east hidden units, so the network will generalize well. Proposed algorithm can be used to establish models of state estimation process for steam coal blending. One of such modeling problems, softening temperature prediction of coal ash, is illustrated using ESA method. Minimal RBF net designed is compared with RBF nets obtained with OLS and clustering method, result shows that RBF net designed with ESA method has better generalization ability.关键词
RBF网/泛化能力/动力配煤/建模Key words
RBF nets/generalization ability/steam coal blending/modeling分类
化学化工引用本文复制引用
魏海坤,徐嗣鑫,宋文忠,吴福保..最小RBF网设计的进化优选算法及其在动力配煤过程状态预测建模中的应用[J].中国电机工程学报,2001,21(1):63-67,72,6.
