Prediction Method of El Nino Southern Oscillation: ENSO by Means of Wavelet Based Data Compression with Appropriate Support Length of Base Function

Kohei Arai

doi:10.14569/IJARAI.2013.020803

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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

Author 1: Kohei Arai

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Digital Object Identifier (DOI) : 10.14569/IJARAI.2013.020803

Article Published in International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 2 Issue 8, 2013.

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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