Abstract
Purchase PDF (1071 K)
E-mail Article
Add to my Quick Links
Cited By in Scopus (0)
Purchase PDF (789 K)
doi:10.1016/j.apor.2007.11.002 
Copyright © 2007 Elsevier Ltd All rights reserved.
Genetic programming for retrieving missing information in wave records along the west coast of India
Received 8 May 2007;
References and further reading may be available for this article. To view references and further reading you must purchase this article.
Abstract
Instruments such as floating wave rider buoys provide wave data over a long period in a continuous manner; however such information invariably contains missing values resulting from the instrument and telemetry system that is damaged, malfunctioning or otherwise non-operational. The problem of restoring missing wave heights is attempted in this paper using one of the latest soft computing tools, namely, Genetic Programming (GP). The gaps in the time series of significant wave heights collected at every 3 h for a period of four years from January 2000 to December 2003 are filled in at six selected buoy locations along the west coast of India. The performance of GP was judged in terms of the error statistics of bias, root mean square error, correlation coefficient and scatter index. The methodology demonstrated reliable results with fairly good overall agreement between the restored wave records and actual measurements.
Keywords: ANN; GP; Missing data; Soft computing; Wave heights
Article Outline
- 1. Introduction
- 2. The database
- 3. Genetic programming
- 4. Retrieval of missing information
- 5. Improving the prediction of higher waves
- 6. Conclusions
- Acknowledgements
- Appendix A. Error statistics
- Appendix B. The calibrated GP models (equations) for different experiments: E1 to E7
- Appendix C. GP-based equations improving prediction of higher values
- References
