The Seawater Quality Evaluating of the Yangtze Estuary Wetland Based on BP Neural Networks

Bian Bian Zhang; Yun Long Wang

doi:10.4028/www.scientific.net/AMR.842.662

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 842The Seawater Quality Evaluating of the Yangtze...

The Seawater Quality Evaluating of the Yangtze Estuary Wetland Based on BP Neural Networks

Abstract:

As the fast development of social economics, pollution accidents become more and more frequent. Yangtze estuary wetland is an important nature reserve. Evaluation of water quality becomes important in this area. However, evaluating water quality needs to concern many criteria such as chemical oxygen demand and content of harmful elements. Simply implement of criteria can cause bad results. This paper use Back propagation (BP) neural network to evaluate seawater quality of Chinese sturgeon reserve of the Yangtze estuary wetland in Spawning season successfully and calculate the quantities of floating animals and plants. The analysis also set up good mechanism of seawater quality evaluation.

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Periodical:

Advanced Materials Research (Volume 842)

Pages:

662-666

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.842.662

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Online since:

November 2013

Authors:

Bian Bian Zhang*, Yun Long Wang

Keywords:

BP Neural Network (BPNN), Seawater Quality Evaluation

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* - Corresponding Author

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