Development of a neural network model for dissolved oxygen in seawater

Indian Journal of Marine Sciences

Volumn 38, Issue 2, 2009, Pages 151-159

  Palani, Sundarambal ^a   Liong, Shie Yui ^a   Tkalich, Pavel ^a   Palanichamy, Jegathambal ^b  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b RWTH AACHEN UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CALIBRATION; CONCENTRATION (COMPOSITION); DISSOLVED OXYGEN; FORECASTING METHOD; MODEL TEST; SEAWATER; STATISTICAL ANALYSIS;

EID: 69749119188     PISSN: 03795136     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (33)

1. McCulloch W. S. & Pitts, W., A logical calculus of the ideas imminent in nervous activity, Bulletin and Mathematical Biophysics, 5 (1943) 115-133.
2. Rumelhart D. E., Hinton, G. E. & Williams, R.J., Learning internal representations by error propagation, In: Parallel Distributed Processing. Edited by Rumelhart, D.E. & McClelland, J.L. (MIT Press, Cambridge) 1986, pp. 318-362.
3. Lek, S., Delacoste, M., Baran, P., Dimopoulos, I., Lauga, J. & Aulagnier, S., Application of neural networks to modeling nonlinear relationships in ecology, Ecological Modelling, 90(1996) 39-52.
4. Connell, D. W. & Miller, G. J., Chemistry and Ecotoxicology of Pollution, (John Wiley & Sons, N.Y) 1984, pp. 464.
5. Butcher, J. B. & Covington, S., Dissolved-oxygen analysis with temperature dependence, J. Environ. Eng., 121/10(1995) 756-759.
6. Cox, B. A., A review of dissolved oxygen modeling techniques for lowland rivers, The Science of the Total Environment, 314-316 (2003) 303-334.
7. Garcia, A., Revilla, J. A, Medina, R., Alvarez, C. & Juanes, J. A., A model for predicting the temporal evolution of dissolved oxygen concentration in shallow estuaries, Hydrobiologia. 475/476 (2002) 205-211.
8. Miranda, L. E., Hargreaves, J. A. & Raborn, S. W., Predicting and managing risk of unsuitable dissolved oxygen in a eutrophic lake, Hydrobiologia, 457 (2001) 177-185.
9. Alunkaynak, A., Ozger, M. & Cakmakci M., Fuzzy logic modeling of the dissolved oxygen fluctuations in Golden Horn, Ecological Modelling, 189 (2005) 436-44
10. Stewart A. Rounds, Development of a Neural Network Model for Dissolved Oxygen in the Tualatin River, Oregon, paper presented at the, Conference on The Second Federal Interagency Hydrologic Modeling, Las Vegas, Nevada, 2002
11. Maier, H. R., Dandy, G. C. & Burch, M. D., Use of artificial neural networks for modelling cyanobacteria Anabaena spp. in the River Murray, South Australia, Ecol. Model., 105 (1998) 257/272.
12. Lee, J. H. W., Huang, Y., Dickmen, M. & Jayawardena, A. W., Neural network modelling of coastal algal blooms, Ecological Modelling, 159 (2003) 179-201.
13. Sundarambal, P., Liong, S. Y. & Tkalich, P., Prediction of Singapore Seawater Quality Variables with Artificial Neural Networks, paper presented at the conference on Asia Oceania Geosciences Society3rd Annual Meeting, Singapore, 2006.
14. Sundarambal, P., Liong, S. Y. & Tkalich, P., Eutrophication modeling of seawater using artificial neural network technique, in: Advances in Geosciences, edited by Jianping Gan,(World Scientific Publishing Company, Singapore) 2009, pp. 240.
15. Sundarambal, P., Liong, S. Y. & Tkalich, P., ANN application for water quality forecasting, Marine Pollution Bulletin, 56/9 (2008) 1586-1597.
16. Chuah, A. L., Water quality study of the East Johor Strait, MS Thesis, National University of Singapore, Singapore, 1998.
17. Lim, L. C., Coastal fisheries oceanographic studies in Johor Strait, Singapore I. Current movement in the East Johor Strait and its adjacent waters, Singapore, J. Prim. Ind., 2/2 (1983) 83-97.
18. Pang, W.C. & Tkalich, P, Modeling Tidal and Monsoon Driven Currents in the Singapore Strait, Singapore Maritime & Port Journal 2003 (2003) 151-162.
19. Smith, V. H., Using primary productivity as an index of coastal eutrophication: the units of measurement matter, Horizons in Journal of Plankton Research, 29/1(2007) 1-6.
20. Hinton, G. E., How neural networks learn from experience, Sci. American, 267(1992) 44-151.
21. Jensen, B. A., Expert systems - neural networks, Instrument Engineers' Handbook, (Radnor, Pennsylvania, Chilton) 1994, pp. 48-54.
22. Sundarambal, P. & Tkalich, P., Eutrophication Modelling for the Singapore Waters. (International Conference on Port and Maritime R&D and Technology, Singapore) 2(2003) pp. 51-58.
23. Conrads, P. A. and Roehl, E. A., Comparing physics-based and neural network models for simulating salinity, temperature, and dissolved-oxygen in a complex, tidally affected river basin, (The 1999 South Carolina Environmental Conference, Myrtle Beach, South Carolina) 1999: http://smig.usgs.gov/features_0399/nnm1.html.
24. Neuroshell 2, Neuroshell 2 Release 4.0 -Tutorial, (Ward Systems Group, Inc., MD) 1996.
25. Faraway, J. & Chatfield, C., Time series forecasting with neural networks: a comparative study using the airline data, Applied Statistics, 47/ 2(1998) 231-250.
26. Masters, T., Practical Neural Network Recipes in C ++, (Academic Press, San Diego, CA) 1993, pp. 493.
27. Specht, D. F., A general regression neural network, IEEE trans, Neural Networks, 2/6 (1991) 568-576.
28. Solomatine, D. P., Maskey, M. & Shrestha, D. L., Instance-based learning compared to other data-driven methods in hydrological forecasting, Hydrological Processes, 22(2008) 275-287.
29. Tsoukalas, L. H. & Uhrig, R. E., Fuzzy and Neural Approaches in Engineering, (Wiley Interscience, New York) 1997, pp. 587.
30. Legates, D.R. & McCabe Jr., G.J., Evaluating the use of 'goodness-of-fit' measures in hydrologic and hydroclimatic model validation, Water Resour. Res., 35/1(1999) 233-241.
31. Nash, J. E. & Sutcliffe, J. V., River flow forecasting through conceptual models; part I - a discussion of principles, J. Hydrol., 10 (1970) 282-290.
32. Wilcox, B. P., Rawls, W. J., Brakensiek, D. L. & Wight, J. R., Predicting runoff from rangeland catchments: A comparison of two models, Water Resources Research, 26(1990) 2401-2410.
33. ASEAN Draft. ASEAN State of the Environment 1995. Unpublished. Association of South-East Asian Nations. ASEAN website, Association of Southeast Asian Nations. (1995)