Based on Improved Particle Swarm Optimization Algorithm Investment Combination Analysis

被引：0
|
作者：
Shen Jia-jie [1 ]
机构：
[1] E China Normal Univ, Ctr Comp, Sch Informat Sci & Technol, Shanghai 18817519704, Peoples R China
来源：
PROCEEDINGS OF 2012 2ND INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT 2012) | 2012年
关键词：
investment combination; PSO algorithm; GA algorithm; SUPPORT VECTOR REGRESSION; STOCK;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Aiming to the problem about how to make optimization investment combination. The improved particle swarm optimization (PSO) algorithm is presented to handle this question. Though theoretical deviation, the improved PSO algorithm is proofed to be more adaptability than standard particle swarm optimization algorithm under this question. The correctness of theoretical deviation is verified by the experiment.
引用
收藏
页码：1827 / 1830
页数：4
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