A new technique for rapid assessment of eutrophication status of coastal waters using a support vector machine-Reference-Cited by-同舟云学术

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A new technique for rapid assessment of eutrophication status of coastal waters using a support vector machine

Published:2017-05-06 Issue:2 Volume:36 Page:249-262
ISSN:2096-5508
Container-title:Journal of Oceanology and Limnology
language:en
Short-container-title:J. Ocean. Limnol.

Author:

Kong Xianyu,Che Xiaowei,Su Rongguo,Zhang Chuansong,Yao Qingzhen,Shi Xiaoyong

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology,Oceanography

Link

http://link.springer.com/article/10.1007/s00343-017-6224-0/fulltext.html

Reference113 articles.

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2. Badran M I. 2001. Dissolved oxygen, chlorophyll a and nutrients: seasonal cycles in waters of the Gulf of Aquaba, Red Sea. Aquat. Ecosyst. Health Manage., 4 (2): 139–150.

3. Bashir M B, LatiffM S B A, Coulibaly Y, Yousif A. 2016. A survey of grid-based searching techniques for large scale distributed data. Journal of Network and Computer Applications, 60: 170–179.

4. Behzad M, Asghari K, Eazi M, Palhang M. 2009. Generalization performance of support vector machines and neural networks in runoffmodeling. Expert Systems with Applications, 36 (4): 7624–7629.

5. Bilotta G S, Brazier R E. 2008. Understanding the influence of suspended solids on water quality and aquatic biota. Water Res., 42 (12): 2849–2861.

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