On the application of information theory to the optimum state-space reconstruction of the short-term solar radio flux (10.7 cm), and its prediction via a neural network |
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Authors: | T. N. Chatterjee |
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Affiliation: | Department of Electronic Science, Dinabandhu Andrews College, 36 Bacharam Chatterjee Road, Behala, Calcutta 700 034, West Bengal, India |
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Abstract: | The prediction of a time series using a neural network involves an optimum state-space reconstruction. The state space of the daily 10.7-cm solar radio flux is reconstructed using an information theory approach. A multi-layer feed-forward neural net is used for short-term prediction of the time series. The convergence of the synaptic weights is obtained partially by simulated annealing and partially by the 'quick prop' variation of back-propagation. The result gives a reasonably accurate short-term prediction. |
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Keywords: | methods: data analysis Sun: atmosphere Sun: radio radiation |
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