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Nonlinear Autoregressive Model (NARX) of Stationary Forbush Decrease Indices Based on Levenberg-Marquardt Feedback Algorithm

Published online by Cambridge University Press:  27 November 2018

Sankar Narayan Patra Open the ORCID record for Sankar Narayan Patra [Opens in a new window] ,
Subhash Chandra Panja ,
Amrita Prasad ,
Soumya Roy  and
Koushik Ghosh
Sankar Narayan Patra*
Affiliation:
Astronomical Instruments Design Laboratory, Instrumentation Science Dept., Jadavpur University, Kolkata, India
Subhash Chandra Panja
Affiliation:
Astronomical Instruments Design Laboratory, Instrumentation Science Dept., Jadavpur University, Kolkata, India
Amrita Prasad
Affiliation:
Astronomical Instruments Design Laboratory, Instrumentation Science Dept., Jadavpur University, Kolkata, India
Soumya Roy
Affiliation:
Astronomical Instruments Design Laboratory, Instrumentation Science Dept., Jadavpur University, Kolkata, India
Koushik Ghosh
Affiliation:
Astronomical Instruments Design Laboratory, Instrumentation Science Dept., Jadavpur University, Kolkata, India
*
Corresponding email id: sankar.n.patra@gmail.com
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Abstract

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Artificial Neural Network based Nonlinear Autoregressive Model is designed to reconstruct and predict Forbush Decrease (FD) Data obtained from Izmiran, Russia. Result indicates that the model seems adequate for short term prediction of the FD data.

Keywords

ANNAutoregressiveAdaptive L-M algorithmShort Term Prediction & MSE
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 13 , Symposium S340: Long-term Datasets for the Understanding of Solar and Stellar Magnetic Cycles , February 2018 , pp. 323 - 324
Copyright
Copyright © International Astronomical Union 2018 

References

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