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Prediction Method of El Nino Southern Oscillation: ENSO by Means of Wavelet Based Data Compression with Appropriate Support Length of Base Function
International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 2 Issue 8, 2013.
Abstract: Method for El Nino/Southern Oscillation: ENSO by means of wavelet based data compression with appropriate support length of base function is proposed. Through the experiments with observed southern oscillation index, the proposed method is validated. Also a method for determination of appropriate support length is proposed and is validated.
Keywords: Prediction, Time series analysis, wavelet, ENSO, support length of mother wavelet function, base function
Kohei Arai , “Prediction Method of El Nino Southern Oscillation: ENSO by Means of Wavelet Based Data Compression with Appropriate Support Length of Base Function ” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 2(8), 2013. http://dx.doi.org/10.14569/IJARAI.2013.020803
@article{2013,
title = {Prediction Method of El Nino Southern Oscillation: ENSO by Means of Wavelet Based Data Compression with Appropriate Support Length of Base Function },
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2013.020803},
url = {http://dx.doi.org/10.14569/IJARAI.2013.020803},
year = {2013},
publisher = {The Science and Information Organization},
volume = {2},
number = {8},
author = {Kohei Arai }
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
