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

Reza Ezuan, Samin and A. S., 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

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Abstract

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.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Sunspot numbers; Feedforward Neural Networks (FNN); Mean Square Error (MSE)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 10 Feb 2020 02:24
Last Modified: 10 Feb 2020 02:24
URI: http://umpir.ump.edu.my/id/eprint/26211
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