(The Gist of PIB) Artificial Neural Networks based global Ionospheric Model  [MAY-2020]

(The Gist of PIB) Artificial Neural Networks based global Ionospheric Model

Artificial Neural Networks based global Ionospheric Model

• Researchers from the Indian Institute of Geomagnetism (IIG), Navi Mumbai, have 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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Courtesy: PIB