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Forecasting sunspot numbers with Feedforward Neural Networks (FNN) using 'sunspot neural forecaster' system

This paper presents the investigations of forecasting performance of different type of Feedforward Neural Networks (FNN) in forecasting the sunspot numbers. Feedforward Neural Network will be used in this investigation by using different learning algorithms, sunspot data models and FNN transfer func...

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Main Authors: Reza Ezuan, Samin, Ahmad Salihin, Samsudin, Azme, Khamis, Syahirbanun, Isa, Ruhaila, Md. Kasmani
Format: Conference or Workshop Item
Language:English
Published: IEEE 2011
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/26211/1/Forecasting%20sunspot%20numbers%20with%20Feedforward%20Neural%20Networks%20%28FNN%29.pdf
http://umpir.ump.edu.my/id/eprint/26211/
https://doi.org/10.1109/INECCE.2011.5953839
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spelling my.ump.umpir.262112020-10-27T08:21:54Z http://umpir.ump.edu.my/id/eprint/26211/ Forecasting sunspot numbers with Feedforward Neural Networks (FNN) using 'sunspot neural forecaster' system Reza Ezuan, Samin Ahmad Salihin, Samsudin Azme, Khamis Syahirbanun, Isa Ruhaila, Md. Kasmani TK Electrical engineering. Electronics Nuclear engineering This paper presents the investigations of forecasting performance of different type of Feedforward Neural Networks (FNN) in forecasting the sunspot numbers. Feedforward Neural Network will be used in this investigation by using different learning algorithms, sunspot data models and FNN transfer functions. Simulations are done using Matlab 7 where customized Graphic User Interface (GUI) called `Sunspot Neural Forecaster' have been developed for analysis. A complete analysis for different learning algorithms, sunspot data models and FNN transfer functions are examined in terms of Mean Square Error (MSE) and correlation analysis. Finally, the best optimized FNN parameters will be used to forecast the sunspot numbers. IEEE 2011 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26211/1/Forecasting%20sunspot%20numbers%20with%20Feedforward%20Neural%20Networks%20%28FNN%29.pdf Reza Ezuan, Samin and Ahmad Salihin, Samsudin and Azme, Khamis and Syahirbanun, Isa and Ruhaila, Md. Kasmani (2011) Forecasting sunspot numbers with Feedforward Neural Networks (FNN) using 'sunspot neural forecaster' system. In: International Conference on Electrical, Control and Computer Engineering 2011 (InECCE 2011)., 21-22 June 2011 , Hyatt Regency, Kuantan, Pahang, Malaysia. pp. 1-5.. ISBN 978-1-61284-229-5 https://doi.org/10.1109/INECCE.2011.5953839
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Reza Ezuan, Samin
Ahmad Salihin, Samsudin
Azme, Khamis
Syahirbanun, Isa
Ruhaila, Md. Kasmani
Forecasting sunspot numbers with Feedforward Neural Networks (FNN) using 'sunspot neural forecaster' system
description This paper presents the investigations of forecasting performance of different type of Feedforward Neural Networks (FNN) in forecasting the sunspot numbers. Feedforward Neural Network will be used in this investigation by using different learning algorithms, sunspot data models and FNN transfer functions. Simulations are done using Matlab 7 where customized Graphic User Interface (GUI) called `Sunspot Neural Forecaster' have been developed for analysis. A complete analysis for different learning algorithms, sunspot data models and FNN transfer functions are examined in terms of Mean Square Error (MSE) and correlation analysis. Finally, the best optimized FNN parameters will be used to forecast the sunspot numbers.
format Conference or Workshop Item
author Reza Ezuan, Samin
Ahmad Salihin, Samsudin
Azme, Khamis
Syahirbanun, Isa
Ruhaila, Md. Kasmani
author_facet Reza Ezuan, Samin
Ahmad Salihin, Samsudin
Azme, Khamis
Syahirbanun, Isa
Ruhaila, Md. Kasmani
author_sort Reza Ezuan, Samin
title Forecasting sunspot numbers with Feedforward Neural Networks (FNN) using 'sunspot neural forecaster' system
title_short Forecasting sunspot numbers with Feedforward Neural Networks (FNN) using 'sunspot neural forecaster' system
title_full Forecasting sunspot numbers with Feedforward Neural Networks (FNN) using 'sunspot neural forecaster' system
title_fullStr Forecasting sunspot numbers with Feedforward Neural Networks (FNN) using 'sunspot neural forecaster' system
title_full_unstemmed Forecasting sunspot numbers with Feedforward Neural Networks (FNN) using 'sunspot neural forecaster' system
title_sort forecasting sunspot numbers with feedforward neural networks (fnn) using 'sunspot neural forecaster' system
publisher IEEE
publishDate 2011
url http://umpir.ump.edu.my/id/eprint/26211/1/Forecasting%20sunspot%20numbers%20with%20Feedforward%20Neural%20Networks%20%28FNN%29.pdf
http://umpir.ump.edu.my/id/eprint/26211/
https://doi.org/10.1109/INECCE.2011.5953839
_version_ 1683230919402455040
score 13.211869

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