NDLI: Eutrophication Prediction Model of Bohai Bay Based on Optimized Support Vector Machine

Content Provider	IEEE Xplore Digital Library
Author	Xianquan Xiang Dekui Yuan Jianhua Tao
Copyright Year	2010
Abstract	In this research, optimized SVM models were designed to describe eutrophication processes, based on the field measured data from Bohai Bay. A new data-driven model called Support Vector Machine (SVM) based on structural risk minimization principle was presented, which minimized a bound on a generalized risk. In the eutrophication model, the Principal Component Analysis (PCA) was used to identify the model inputs. After data scaling, cross-validation via parallel grid search and genetic algorithm were respectively employed to select the optimal parameters of SVM. The model performance was evaluated by means of the squared correlation coefficient R² and the Root Mean Square Error (RMSE). The results suggest that parameters optimization is very important and necessary for SVM, and SVM-GA (Genetic Algorithm integrated with SVM) possesses slightly better searching optimization ability. It was shown that this optimized SVM techniques could be applied to predict the concentration of Chlorophyll_a in Bohai Bay and capture the non-linear information in eutrophication processes.
Starting Page	1
Ending Page	5
File Size	293265
Page Count	5
File Format	PDF
ISBN	9781424447121
ISSN	21517622
DOI	10.1109/ICBBE.2010.5517002
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Biological system modeling Algae Predictive models Water pollution Risk management Mathematical model Genetic algorithms Design optimization Principal component analysis
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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