| Title: |
Applying adaptive prediction to sea-water quality measurements |
| Author(s): |
E. Hatzikos, J. Hatonen, N. Bassiliades, I. Vlahavas, E. Fournou.
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| Availability: |
Click here to download the PDF (Acrobat Reader) file (20 pages).
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| Keywords: |
Projection algorithm, Least square algorithm, one-day ahead prediction.
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| Appeared in: |
Expert Systems with Applications, Elsevier, Vol. 36, Iss. 3, Part 2, pp. 6773-6779, 2009.
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| Abstract: |
This study explores the possibility of using adaptive filters to predict sea-water quality indicators such as water temperature, pH and dissolved oxygen based on measurements produced by an under-water measurement set-up. Two alternative adaptive approaches are tested, namely a projection algorithm and a least squares algorithm. These algorithms were chosen for comparison because they are widely used prediction algorithms. The results indicate that if the measurements remain reasonably stationary, it is possible to make one-day ahead predictions, which perform better than the prediction that the value of a certain quality variable tomorrow is going to be equal to the value today. |
| See also : |
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This paper has been cited by the following:
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| 2 |
Li, F., Li, D., Wei, Y., Daokun, M., Ding, Q., "Dissolved oxygen prediction in apostichopus japonicus aquaculture ponds by BP neural network and AR model", (2010) Sensor Letters, 8 (1), pp. 95-101. |
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Yang, Y., Tai, H., Li, D., “Real-time optimized prediction model for dissolved oxygen in crab aquaculture ponds using back propagation neural network”, (2014) Sensor Letters, 12 (3-5), pp. 723-729. |
| 7 |
Zhang, Y., Wang, J., Vorontsov, A.M., Hou, G., Nikanorova, M.N., Wang, H., “Using a neural network approach and time series data from an international monitoring station in the Yellow Sea for modeling marine ecosystems”, (2014) Environmental Monitoring and Assessment, 186 (1), pp. 515-524. |
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Iyan E. Mulia, Toshiyuki Asano, Pavel Tkalich, “Retrieval of missing values in water temperature series using a data-driven model”, Earth Science Informatics, February 2015, DOI: 10.1007/s12145-015-0210-x |
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