Application of RBF Neural Network in Atmospheric Environmental Quality Assessment under Industrial Property Right Structure

被引：0

作者：

Wang, Ziwei ^{[1
]}

Zhang, Guangtao ^{[2
]}

Liu, Huihuang ^{[1
]}

机构：

[1] Hunan Univ, Sch Econ & Trade, Changsha, Hunan, Peoples R China

[2] Beijing Normal Univ, Sch Chem, Beijing, Peoples R China

来源：

EKOLOJI | 2019年 / 28卷 / 107期

关键词：

RBF neural network; environmental quality; assessment; FACE RECOGNITION;

D O I：

暂无

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

Firstly, this paper analyses the structure system of industrial property right under the background of the environment. In the evaluation of atmospheric environmental quality, RBF neural network model is used in the article. Different from BP network, function-connected network realizes the classification of complex patterns by enhancing input patterns. The model is used to study the atmospheric environmental quality of an example. The results show that the application of function-connected network in environmental quality assessment is objective and practical.

引用

页码：1115 / 1121

页数：7

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