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Research Article | Open Access |

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
International Journal of Advanced Research in Artificial Intelligence (IJARAI) · Vol. 2, No. 8 · Published 2013

DOI: 10.14569/IJARAI.2013.020803

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

How to Cite this Article

Arai, K. (2013). 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, 2(8). https://doi.org/10.14569/IJARAI.2013.020803

Arai, Kohei. "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, vol. 2, no. 8, 2013, https://doi.org/10.14569/IJARAI.2013.020803.

@article{Arai2013,
  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},
  volume    = {2},
  number    = {8},
  year      = {2013},
  publisher = {The Science and Information Organization},
  author    = {Kohei Arai},
  doi       = {10.14569/IJARAI.2013.020803},
  url       = {https://doi.org/10.14569/IJARAI.2013.020803}
}

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