Atmospheric Quality Assessment Model Based on Immune Clonal Selection Algorithm

被引：1

作者：

Wang, Limin ^{[2
]}

Han, Xuming ^{[1
]}

Li, Ming ^{[2
]}

Zhang, Chijun ^{[2
]}

Zhang, Yanting ^{[3
]}

机构：

[1] Changchun Univ Technol, Inst Informat & Spreading Engn, Changchun 130012, Peoples R China

[2] Jilin Univ Finance & Econ, Sch Informat, Changchun 130117, Peoples R China

[3] Int Sch Beijing Univ Posts & Telecommun, Dept E Commerce Engn Law, Beijing 102209, Peoples R China

来源：

ADVANCES IN CIVIL ENGINEERING, PTS 1-6 | 2011年 / 255-260卷

关键词：

Immune Clonal Selection Algorithm; Parameter Optimization; Assessment Model; NEURAL-NETWORK MODEL;

D O I：

10.4028/www.scientific.net/AMR.255-260.3013

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

The immune clonal selection algorithm is used to optimize the parameters in the formula of S growth curve index in the paper, thus we can obtain an assessment model for atmospheric comprehensive pollution that is suitable to the cases of multi-pollutants. Moreover the proposed assessment model is applied in the field of atmosphere assessment. Experimental results show that the assessment method proposed for atmosphere quality has many advantages such as pellucid principle, physical explication and correct assessment results etc. It is a new effective approach for intelligence theory and technology applied in the field of environment. Therefore it has great potential in the field of assessment the atmospheric quality.

引用

页码：3013 / +

页数：2

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