Modelling of Biochemical Systems Using the Particle Swarm Optimization and Chaotic Theory

被引：6

作者：

Lu, Mingshou ^{[2
]}

Shin, Dongil ^{[1
]}

Kang, Hwan Il ^{[1
]}

机构：

[1] Myongji Univ, Dept Chem Informat Engn, Yongin 449728, Gyeong Gi Do, South Korea

[2] Myongji Univ, Dept Chem Engn, Yongin 449728, Gyeong Gi Do, South Korea

来源：

2009 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INTELLIGENT SYSTEMS, PROCEEDINGS, VOL 1 | 2009年

关键词：

Particle Swamr Optimization; parameter estimation; large scale; chaos; Henon map; metabolic pathway;

D O I：

10.1109/ICICISYS.2009.5357810

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this work,the Particle Swarm Optimization (PSO) algorithm combined with chaotic theory was employed to modeling data of biochemical systems For this purpose, three case studies will be applied with PSO as parameter estimation problems and examine the performance of the new developed methodology

引用

页码：420 / +

页数：3

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