A Hybrid Regression-Neural Network (HR-NN) Method for Forecasting the Solar Activity-Reference-Cited by-同舟云学术

A Hybrid Regression-Neural Network (HR-NN) Method for Forecasting the Solar Activity

Author:

Okoh D. I.¹²^ORCID,Seemala G. K.²^ORCID,Rabiu A. B.¹^ORCID,Uwamahoro J.³,Habarulema J. B.⁴⁵^ORCID,Aggarwal M.²

Affiliation:

1. Center for Atmospheric Research; National Space Research and Development Agency; Abuja Nigeria

2. Indian Institute of Geomagnetism; Navi Mumbai India

3. College of Education, Department of Mathematics and Science; University of Rwanda; Kigali Rwanda

4. South African National Space Agency, Space Science; Hermanus South Africa

5. Department of Physics and Electronics; Rhodes University; Grahamstown South Africa

Funder

Department of Science and Technology, Ministry of Science and Technology

Indian Institute for Geomagnetism

Centre for Atmospheric Research (CAR)

CV Raman International Fellowship for African Researchers

Publisher

American Geophysical Union (AGU)

Subject

Atmospheric Science

Link

Reference62 articles.

3. Neural network prediction of solar cycle 24;Ajabshirizadeh;Research in Astronomy and Astrophysics,2011

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