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...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2011
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/26211/ http://umpir.ump.edu.my/id/eprint/26211/1/Forecasting%20sunspot%20numbers%20with%20Feedforward%20Neural%20Networks%20%28FNN%29.pdf |
| _version_ | 1848822476432211968 |
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| author | Reza Ezuan, Samin Muhammad Salihin, Saealal Azme, Khamis Syahirbanun, Isa Ruhaila, Md. Kasmani |
| author_facet | Reza Ezuan, Samin Muhammad Salihin, Saealal Azme, Khamis Syahirbanun, Isa Ruhaila, Md. Kasmani |
| author_sort | Reza Ezuan, Samin |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T02:41:51Z |
| format | Conference or Workshop Item |
| id | ump-26211 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:41:51Z |
| publishDate | 2011 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-262112023-10-17T06:37:39Z http://umpir.ump.edu.my/id/eprint/26211/ Forecasting sunspot numbers with Feedforward Neural Networks (FNN) using 'sunspot neural forecaster' system Reza Ezuan, Samin Muhammad Salihin, Saealal 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 Muhammad Salihin, Saealal 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 (Published) https://doi.org/10.1109/INECCE.2011.5953839 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Reza Ezuan, Samin Muhammad Salihin, Saealal Azme, Khamis Syahirbanun, Isa Ruhaila, Md. Kasmani Forecasting sunspot numbers with Feedforward Neural Networks (FNN) using 'sunspot neural forecaster' system |
| title | 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_short | 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 |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/26211/ http://umpir.ump.edu.my/id/eprint/26211/ http://umpir.ump.edu.my/id/eprint/26211/1/Forecasting%20sunspot%20numbers%20with%20Feedforward%20Neural%20Networks%20%28FNN%29.pdf |