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Erschienen in:
2012 | OriginalPaper | Buchkapitel
The Modeling and Forecasting of Variable Geomagnetic Field Based on Artificial Neural Network
verfasst von : Yihong Li, Wenliang Guan, Chao Niu, Daizhi Liu
Erschienen in: Advances in Future Computer and Control Systems
Verlag: Springer Berlin Heidelberg
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The time series of variable geomagnetic field can be considered as nonlinear and nonstationary signal. The view and methods of intelligent signal processing can be used in modeling and forecasting for variable geomagnetic field. This paper proposed a new point of view that Artificial neural network (ANN) with good self-organizing and self-learning could be used for modeling and forecasting variable geomagnetic field and tested this view with four ANN which are RBF, BP, GRNN and ELMAN. Lastly, the results of forecasting were compared and analyzed.