The Environmental Quality Evaluation of Port Regional Based on BP Neural Network and Case Study

Author

Zhang, Xin ; Guo, Maicheng ; Liu, Qingchao ; Sun, Jian ; Zhu, Wenhui

Author_Institution

Coll. of Comput. Sci., Yangtze Univ., Jingzhou

fYear

2008

fDate

25-26 Sept. 2008

Firstpage

145

Lastpage

148

Abstract

The pollution of Qinhuangdao Port is the bottleneck of economic development, so how to correct the environmental assessment of the work environment has important significance. The main pollutants in Qinhuangdao port is coal dust pollution, through various observation points on the measurement indicators of pollutants by EPA experts scoring can get a group of data, and then through various BP neural network on a comprehensive evaluation of data, one can draw the actual final objective evaluation for environmental protection work provides a theoretical and practical basis.

Keywords

air pollution measurement; backpropagation; coal; dust; environmental science computing; marine pollution; neural nets; BP neural network; EPA expert scoring; Qinhuangdao Port pollution measurement; Qinhuangdao Port regional environmental quality evaluation; coal dust pollution; coal export port; economic development; environmental protection; Artificial neural networks; Cities and towns; Computer networks; Educational institutions; Environmental economics; Feedforward neural networks; Genetics; Monitoring; Neural networks; Pollution; BP neural network; Port regional; environmental quality evaluation;

fLanguage

English

Publisher

ieee

Conference_Titel

Genetic and Evolutionary Computing, 2008. WGEC '08. Second International Conference on

Conference_Location

Hubei

Print_ISBN

978-0-7695-3334-6

Type

conf

DOI

10.1109/WGEC.2008.22

Filename

4637414