Estimation and Forecasting of Ionospheric Total Electron Content Based on Neural Network and Hybrid Seasonal Autoregressive Integrated Moving Average-Neural Network

Unpredictable variability to total electron content (TEC) in the equatorial region and gaps in the TEC database due to Earth infrastructure failures creates a need to develop a TEC estimation model. NN-based approaches are found promising in modelling the ionospheric parameters because they have fle...

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Bibliographic Details

Main Author:	Vikneswary Jayapal
Format:	thesis::doctoral thesis
Language:	en_US
Published:	Universiti Sains Islam Malaysia 2024
Subjects:	Ionospheric forecasting > Malaysia Meteorological instruments Electronic instruments Radio meteorology
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