Prediction of space weather by adaptive information processing

被引：2

作者：

Tokumitsu M. ^{[1
]}

Ishida Y. ^{[1
]}

Watari S. ^{[2
]}

Kitamura K. ^{[3
]}

机构：

[1] Department of Electrical and Information Engineering, Toyohashi University of Technology, Tempaku, Toyohashi

[2] Applied Electromagnetic Research Center, National Institute of Information and Communications Technology, Tokyo

[3] Department of Mechanical and Electrical Engineering, Tokuyama College of Technology, Gakuendai, Shunan, Yamaguchi

来源：

Artificial Life and Robotics | 2011年 / 16卷 / 1期

基金：

日本学术振兴会;

关键词：

Adaptive information processing; Dynamic relational network; Sensor network; Space weather;

D O I：

10.1007/s10015-011-0876-1

中图分类号：

学科分类号：

摘要：

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. © ISAROB 2011.

引用

页码：32 / 35

页数：3

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