Initial prediction of total electron content (TEC) at a low latitude station using neural network

Homam, Mariyam Jamilah (2014) Initial prediction of total electron content (TEC) at a low latitude station using neural network. In: IEEE Asia-Pacific Conference on Applied Electromagnetics (APACE 2014), 8 - 10 December 2014, Johor Bahru, Johor, Malaysia.

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Abstract

This paper presents the prediction of hourly Total Electron Content (TEC) values of the ionosphere using neural network by utilizing the TEC data from a GPS Ionospheric Scintillation and TEC Monitor (GISTM) receiver. There are two network configurations; the first one by using data from January-November 2005 in training and December 2005 in testing, and the second one involved data from January-October and December 2005 in training and November 2005 in testing. Overall, the testing resulting RMSE of 3-7 TECU, absolute error of 2-5 TECU and relative error of 9-20%. The prediction of TEC on November 2005 which is during lower solar activity provides better results in comparison on December 2005 which is during a relatively higher solar activity

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:total electron content (TEC); neural network; GPS
Subjects:T Technology > TA Engineering (General). Civil engineering (General) > TA501-625 Surveying
Divisions:Faculty of Electrical and Electronic Engineering > Department of Communication Engineering
ID Code:6689
Deposited By:Mrs. Nurhayati Ali
Deposited On:16 Mar 2015 15:49
Last Modified:16 Mar 2015 15:49

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