Authors: Fessant F Bengio S Collobert D
Publish Date: 1996/01/31
Volume: 14, Issue: 1, Pages: 20-26
Abstract
Abstract Accurate prediction of ionospheric parameters is crucial for telecommunication companies These parameters rely strongly on solar activity In this paper we analyze the use of neural networks for sunspot time series prediction Three types of models are tested and experimental results are reported for a particular sunspot time series the IR5 index
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