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9 September 2019 Evaluation of Seawater Quality in Hangzhou Bay based on T-S Fuzzy Neural Network
Qun Tu, Qianqian Zhang
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Abstract

Tu, Q. and Zhang, Q., 2019. Evaluation of seawater quality in Hangzhou Bay based on T-S fuzzy neural network. In: Gong, D.; Zhu, H., and Liu, R. (eds.), Selected Topics in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 94, pp. 50–54. Coconut Creek (Florida), ISSN 0749-0208.

With the development of marine resources and human activities along the coast, seawater pollution has become a crucial topic. Monitoring and evaluation of seawater quality is an important reference for human to understand the marine ecological environment. This paper uses the T-S fuzzy neural network to evaluate the quality of seawater in Hangzhou Bay. The result shows that the water quality in Hangzhou Bay is at a poor level. This conclusion is consistent with the result of the Official Report of China Offshore Quality.

©Coastal Education and Research Foundation, Inc. 2019
Qun Tu and Qianqian Zhang "Evaluation of Seawater Quality in Hangzhou Bay based on T-S Fuzzy Neural Network," Journal of Coastal Research 94(sp1), 50-54, (9 September 2019). https://doi.org/10.2112/SI94-009.1
Received: 16 March 2019; Accepted: 20 April 2019; Published: 9 September 2019
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KEYWORDS
BP neural network
seawater quality
T-S fuzzy neural network
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