DocumentCode :
3006273
Title :
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
Link To Document :
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