Design on Filter Parameters with Hybrid PSO Algorithm

被引：0

作者：

Zhang, Yi ^{[1
]}

Xia, Kewen ^{[1
]}

Gu, Gen ^{[1
]}

机构：

[1] Hebei Univ Technol, Sch Informat Engn, Tianjin 300401, Peoples R China

来源：

SENSORS, MEASUREMENT AND INTELLIGENT MATERIALS, PTS 1-4 | 2013年 / 303-306卷

关键词：

Filter Parameter; Parameter Design; Hybrid Particle Swarm Optimization(HPSO); PARTICLE SWARM OPTIMIZATION;

D O I：

10.4028/www.scientific.net/AMM.303-306.1888

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In order to solve the problems in the optimization of filter parameters, such as large amounts of calculation and the complicated mathematical hypotheses, an approach to optimize filter parameters is presented based on the Hybrid Particle swarm optimization (HPSO) algorithm, which includes the establishing of filter model, setting up the fitness-function and optimizing filter parameters by HPSO algorithm. The application example shows that the optimization method improves the design accuracy and saves calculation, and HPSO algorithm is superior to PSO algorithm in optimization of filter parameters.

引用

页码：1888 / 1891

页数：4

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