DNA immune algorithm and its application

被引：0

作者：

Xu Guang-ning ^{[1
]}

Yu Jin-shou ^{[1
]}

机构：

[1] E China Univ Sci & Technol, Coll Informat Sci & Engn, Shanghai 200237, Peoples R China

来源：

2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11 | 2008年

关键词：

RBF neural network; DNA coding; DNA immune algorithm; T-S fuzzy model; Acrylonitrile yield;

D O I：

10.1109/CCDC.2008.4597889

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An approach was proposed to combine T-S fuzzy model with RBF neural network for constructing T-S fuzzy RBF neural network And the method based on the DNA biology mechanism and structure was studied for optimizing the coefficient of the consequence of T-S fuzzy RBF neural network via the DNA immune algorithm in this method, the adjusting mechanism based on antibody concentration updating strategy kept the antibody diversity and avoided the premature convergence. At last it was used in Soft-sensing modeling of acrylonitrile yield, the experimental simulation results showed that DNA immune algorithm is effective in the optimizing design of T-S fuzzy neural network system, and high accuracy model could be obtained

引用

页码：3063 / 3066

页数：4