Freshwater algal bloom prediction by support vector machine in Macau storage reservoirs

Mathematical Problems in Engineering

Volumn 2012, Issue , 2012, Pages

  Xie, Zhengchao ^a   Lou, Inchio ^a   Ung, Wai Kin ^b   Mok, Kai Meng ^a  

^a UNIVERSITY OF MACAU   (Macao)

^b Laboratory and Research Center   (Macao)

Author keywords

[No Author keywords available]

Indexed keywords

ALGAL BLOOMS; COMPLEX NONLINEARITY; CORRELATION ANALYSIS; CYANOTOXINS; DYNAMIC CHANGES; FORECAST MODEL; FRESHWATER RESERVOIRS; MODELING RESULTS; NONLINEAR PROBLEMS; PHYTOPLANKTON ABUNDANCES; PREDICTION ACCURACY; STORAGE RESERVOIRS; SUSPENDED SOLIDS; TOTAL NITROGEN; TOTAL ORGANIC CARBON; TOTAL PHOSPHORUS; WATER PARAMETERS; WATER STORAGE;

ALGAE; ALKALINITY; BIOCHEMICAL OXYGEN DEMAND; DIGITAL STORAGE; FORECASTING; RESERVOIRS (WATER); TURBIDITY; WATER;

SUPPORT VECTOR MACHINES;

EID: 84872167534     PISSN: 1024123X     EISSN: 15635147     Source Type: Journal    
DOI: 10.1155/2012/397473     Document Type: Article

References (19)

1. Selman Z., Greenhalgh S., Diaz R., Eutrophication and Hypoxia in Coastal Areas: A Global Assessment of the State of Knowledge 2008 Washington, DC, USA World Resources Institute ZBL1221.53083
2. Pallant J., Chorus I., Bartram J., Toxic cyanobacteria in water. SPSS Survival Manual 2007
3. Hecht-Nielsen R., Kolmogorov's mapping neural network existence theorem. Proceedings of the 1st IEEE Internetional Jopint Conference of Neural Networks 1987 New York, NY, USA
4. Rogers L. L., Dowla F. U., Optimization of groundwater remediation using artificial neural networks with parallel solute transport modeling. Water Resources Research 1994 30 2 457 10.1029/93WR01494
5. APHA, Standard Methods for the Examination of Water and Wastewater 2002 American Public Health Association (APHA), American Water Works Association (AWWA) & Water Environment Federation (WEF)
6. Vapnik V., The Nature of Statistical Learning Theory 1995 New York, NY, USA Springer
7. Stolarski T. A., A system for wear prediction in lubricated sliding contacts. Lubrication Science 1996 8 4 315 351 2-s2.0-0030182436 10.1002/ls.3010080402
8. Li K., Automotive engine tuning using least-square support vector machines and evolutionary optimization [Ph.D. thesis] 2011 University of Macau
9. Liu Z., Wang X., Cui L., Lian X., Xu J., Research on water bloom prediction based on least squares support vector machine. Proceedings of the WRI World Congress on Computer Science and Information Engineering (CSIE '09) April 2009 764 768 2-s2.0-71049130341 10.1109/CSIE.2009.476
10. Smola A. J., Scholkopf B.,. 2003, http://alex.smola.org/papers/2003/ SmoSch03b.pdf
11. Wang H., Hu D., Comparison of SVM and LS-SVM for regression. Proceedings of the International Conference on Neural Networks and Brain Proceedings (ICNNB '05) October 2005 279 283 2-s2.0-33847122958 (Pubitemid 46288965)
12. Hsu C. W., Chang C. C., A Practical Guide to Support Vector Classification 2003
13. Çaydaş U., Ekici S., Support vector machines models for surface roughness prediction in CNC turning of AISI 304 austenitic stainless steel. Journal of Intelligent Manufacturing 2012 23 639 650 2-s2.0-77951945765 10.1007/s10845-010-0415-2
14. Avci E., A new expert system for diagnosis of lung cancer: GDA-LS-SVM. Journal of Medical Systems 2012 36 2005 2009 2-s2.0-79951571412 10.1007/s10916-011-9660-y
15. Çomak E., Arslan A., A biomedical decision support system using LS-SVM classifier with an efficient and new parameter regularization procedure for diagnosis of heart valve diseases. Journal of Medical Systems 2012 36 549 556 2-s2.0-77952833331 10.1007/s10916-010-9500-5
16. Xu Y., Chen X., Li Q., INS/WSN-integrated navigation utilizing LS-SVM and H ∞ filtering. Mathematical Problems in Engineering 2012 2012 19 707326 10.1155/2012/707326
17. Cattani C., Chen S., Aldashev G., Information and modeling in complexity. Mathematical Problems in Engineering 2012 2012 3 868413 10.1155/2012/868413
18. Chen S., Zheng Y., Cattani C., Wang W., Modeling of biological intelligence for SCM system optimization. Computational and Mathematical Methods in Medicine 2012 2012 10 769702 10.1155/2012/769702 ZBL1235.90022
19. Lu P., Chen S., Zheng Y., Artificial intelligence in civil engineering. Mathematical Problems in Engineering. In press