ARTIFICIAL NEURAL NETWORKS BASED GLOBAL IONOSPHERIC MODEL (ANNIM)
April 21, 2020
Researchers from Indian Institute of Geomagnetism (IIG), Navi Mumbai, has developed a new Artificial Neural Networks based global Ionospheric Model (ANNIM) using long-term ionospheric observations to predict the ionospheric electron density and the peak parameters.
About:
Artificial Neural Networks (ANNs) replicate the processes in the human brain (or biological neurons) to solve problems such as pattern recognition, classification, clustering, generalization, linear and nonlinear data fitting etc.
Tracking the variability of the Ionosphere is important for communication and navigation. The ionospheric variability is greatly influenced by both solar originated processes and the neutral atmosphere origin
The model developed by IIG researchers may be utilized as a reference model in the ionospheric predictions and has potential applications in calculating the Global Navigation Satellite System (GNSS) positioning errors.
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