A Hybrid TS-SVM Model for Evaluation of Lake Eutrophication

Lei Xu; Jia Yang Wang; Bi Zhang; Zuo Yong Li

doi:10.4028/www.scientific.net/AMR.463-464.917

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 463-464A Hybrid TS-SVM Model for Evaluation of Lake...

A Hybrid TS-SVM Model for Evaluation of Lake Eutrophication

Abstract:

A hybrid TS-SVM model is provided for evaluation of lake eutrophication, expecting offering warranties for the lake management. In the hybrid TS-SVM model, taboo search (TS) was used to optimize the key parameters of support vector machines (SVM) to make enhancement on the forecasting effect of SVM. Then applies the hybrid TS-SVM model to evaluate 30 representative nourishment lakes in China and analyses the assessment result. By evaluating the nutrition level of 30 representative nourishment lakes in China and in comparison with other analytical methods, the results show that this method provides a simple and practical method for evaluating eutrophication.

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Periodical:

Advanced Materials Research (Volumes 463-464)

Pages:

917-921

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.463-464.917

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Online since:

February 2012

Authors:

Lei Xu, Jia Yang Wang, Bi Zhang, Zuo Yong Li

Keywords:

Evaluation, Lake Eutrophication, Parameter Optimization, Support Vector Machine (SVM), Taboo Search

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