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Title: Real-time eutrophication status evaluation of coastal waters using support vector machine with grid search algorithm

Authors:
; ; ;
Publication Date:
Sponsoring Org.:
USDOE Office of Electricity Delivery and Energy Reliability (OE), Power Systems Engineering Research and Development (R&D) (OE-10)
OSTI Identifier:
1396511
Grant/Contract Number:
2016YFC1402101; 2014AA060
Resource Type:
Journal Article: Publisher's Accepted Manuscript
Journal Name:
Marine Pollution Bulletin
Additional Journal Information:
Journal Volume: 119; Journal Issue: 1; Related Information: CHORUS Timestamp: 2017-10-04 09:01:02; Journal ID: ISSN 0025-326X
Publisher:
Elsevier
Country of Publication:
United Kingdom
Language:
English

Citation Formats

Kong, Xianyu, Sun, Yuyan, Su, Rongguo, and Shi, Xiaoyong. Real-time eutrophication status evaluation of coastal waters using support vector machine with grid search algorithm. United Kingdom: N. p., 2017. Web. doi:10.1016/j.marpolbul.2017.04.022.
Kong, Xianyu, Sun, Yuyan, Su, Rongguo, & Shi, Xiaoyong. Real-time eutrophication status evaluation of coastal waters using support vector machine with grid search algorithm. United Kingdom. doi:10.1016/j.marpolbul.2017.04.022.
Kong, Xianyu, Sun, Yuyan, Su, Rongguo, and Shi, Xiaoyong. 2017. "Real-time eutrophication status evaluation of coastal waters using support vector machine with grid search algorithm". United Kingdom. doi:10.1016/j.marpolbul.2017.04.022.
@article{osti_1396511,
title = {Real-time eutrophication status evaluation of coastal waters using support vector machine with grid search algorithm},
author = {Kong, Xianyu and Sun, Yuyan and Su, Rongguo and Shi, Xiaoyong},
abstractNote = {},
doi = {10.1016/j.marpolbul.2017.04.022},
journal = {Marine Pollution Bulletin},
number = 1,
volume = 119,
place = {United Kingdom},
year = 2017,
month = 6
}

Journal Article:
Free Publicly Available Full Text
This content will become publicly available on May 31, 2018
Publisher's Accepted Manuscript

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