Abstract
Space weather can be predicted using data from satellites. For example, the condition of high-energy electrons at geostationary orbit is vital in providing warnings for spacecraft operations. We investigate an adaptive predictor based on intelligent information processing. The predictor forecasts the condition of high-energy electrons at geostationary orbit 24 h ahead. This article focuses on adaptation and performance of the predictor. Our proposed model succeeded in forecasting the high-energy electron flux at geostationary orbit 24 h ahead. Furthermore, we also consider the relationship between the prediction performance and tuning parameters.
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This work was presented in part at the 15th International Symposium on Artificial Life and Robotics, Oita, Japan, February 4–6, 2010
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Tokumitsu, M., Ishida, Y., Watari, S. et al. Prediction of space weather by adaptive information processing. Artif Life Robotics 16, 32–35 (2011). https://doi.org/10.1007/s10015-011-0876-1
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DOI: https://doi.org/10.1007/s10015-011-0876-1