Sai Gowtam, V., Tulasi Ram, S. (2017) An Artificial Neural Network-Based Ionospheric Model to Predict N m F 2 and h m F 2 Using Long-Term Data Set of FORMOSAT-3/COSMIC Radio Occultation Observations: Preliminary Results. Journal of Geophysical Research: Space Physics, 122 (11). 11 doi:10.1002/2017ja024795
| Reference Type | Journal (article/letter/editorial) | ||
|---|---|---|---|
| Title | An Artificial Neural Network-Based Ionospheric Model to Predict N m F 2 and h m F 2 Using Long-Term Data Set of FORMOSAT-3/COSMIC Radio Occultation Observations: Preliminary Results | ||
| Journal | Journal of Geophysical Research: Space Physics | ||
| Authors | Sai Gowtam, V. | Author | |
| Tulasi Ram, S. | Author | ||
| Year | 2017 (November) | Volume | 122 |
| Issue | 11 | ||
| Publisher | American Geophysical Union (AGU) | ||
| DOI | doi:10.1002/2017ja024795Search in ResearchGate | ||
| Generate Citation Formats | |||
| Mindat Ref. ID | 4596882 | Long-form Identifier | mindat:1:5:4596882:4 |
| GUID | 0 | ||
| Full Reference | Sai Gowtam, V., Tulasi Ram, S. (2017) An Artificial Neural Network-Based Ionospheric Model to Predict N m F 2 and h m F 2 Using Long-Term Data Set of FORMOSAT-3/COSMIC Radio Occultation Observations: Preliminary Results. Journal of Geophysical Research: Space Physics, 122 (11). 11 doi:10.1002/2017ja024795 | ||
| Plain Text | Sai Gowtam, V., Tulasi Ram, S. (2017) An Artificial Neural Network-Based Ionospheric Model to Predict N m F 2 and h m F 2 Using Long-Term Data Set of FORMOSAT-3/COSMIC Radio Occultation Observations: Preliminary Results. Journal of Geophysical Research: Space Physics, 122 (11). 11 doi:10.1002/2017ja024795 | ||
| In | (2017, November) Journal of Geophysical Research: Space Physics Vol. 122 (11) American Geophysical Union (AGU) | ||
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