Performance analysis of FFNN and Kriging model on prediction of ionospheric TEC during April 2022 – X 1.1 solar flare-Reference-Cited by-同舟云学术

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Performance analysis of FFNN and Kriging model on prediction of ionospheric TEC during April 2022 – X 1.1 solar flare

Published:2024-01-23 Issue:1 Volume:45 Page:
ISSN:0143-0750
Container-title:International Journal of Ambient Energy
language:en
Short-container-title:International Journal of Ambient Energy

Author:

Mukesh R.¹^ORCID,Dass Sarat C.²^ORCID,Vijay M.¹,Ramanan G.³^ORCID,Lewise K. Anton Savio⁴,Anand A. Vivek⁵

Affiliation:

1. Department of Aerospace Engineering, ACS College of Engineering, Bangalore, India

2. School of Mathematical & Computer Sciences, Heriot-Watt University, Putrajaya, Malaysia

3. Department of Aeronautical Engineering, ACS College of Engineering, Bangalore, India

4. Department of Aerospace Engineering, Karunya Institute of Technology & Sciences, Coimbatore, India

5. Department of Aeronautical Engineering, MLR Institute of Technology, Hyderabad, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/01430750.2024.2304726

Reference20 articles.

1. Effects of X2-class solar flare events on ionospheric GPS-TEC and radio waves over Brazilian sector

2. Singular spectrum analysis of GPS derived ionospheric TEC variations over Nepal during the low solar activity period

3. IONORING: Real-Time Monitoring of the Total Electron Content over Italy

4. Solar flares and geomagnetic storms of September 2017: Their impacts on the TEC over 75°E longitude sector

5. Total electron content prediction using singular spectrum analysis and autoregressive moving average approach

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