A discrete particle swarm optimizer for graphic presentation of GMDH network

被引：0
|
作者：
Liu, TC [1 ]
Wang, JC [1 ]
机构：
[1] Chang Gang Univ, Dept Informat Management, Taoyuan, Taiwan
来源：
INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOL 1-4, PROCEEDINGS | 2005年
关键词：
Particle Swarm Optimization (PSO); Group Method of Data Handling (GMDH);
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Particle Swarm Optimization is a new population based optimization methodology. With a characteristic of high performance and easy implementation, the Particle Swarm Optimizer has many successful cases. However, it still has a problem of efficiency in solving sequential problems. In this paper, we propose a more efficient discrete particle Swarm algorithm in solving the sequential problems such as graphic presentation of GMDH network. The dataset of Fisher's Iris Plant is tested and the results are shown.
引用
收藏
页码：2329 / 2333
页数：5
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