Modeling and predicting sunspot activity - state space reconstruction plus artificial neural network methods

被引：8

作者：

Kulkarni, DR ^{[1
]}

Pandya, AS ^{[1
]}

Parikh, JC ^{[1
]}

机构：

[1] Phys Res Lab, Ahmedabad 380009, Gujarat, India

来源：

GEOPHYSICAL RESEARCH LETTERS | 1998年 / 25卷 / 04期

关键词：

D O I：

10.1029/98GL00136

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

Ideas of state space reconstruction of dynamics are combined with nonparametric artificial neural network approach to model sunspot activity. The structural aspects of the model are for the most part determined from the sunspot data. The model gives a very good fit to the data. Further it predicts weaker solar activity in the current (23-rd) cycle, with a maximum of 144 +/- 36.

引用

页码：457 / 460

页数：4

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