Prediction of the level of ionospheric scintillation at equatorial latitudes in Brazil using a neural network

E-ISSN： 1542-7390|1542-7390|8|446-457

ISSN： 1542-7390

Source： SPACE WEATHER (ELECTRONIC), Vol.1542-7390, Iss.8, 2015-08, pp. : 446-457

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Prediction of the level of ionospheric scintillation at equatorial latitudes in Brazil using a neural network

SPACE WEATHER (ELECTRONIC), Vol. 13, Iss. 8, 2015-08 ,pp. : 446-457

John Wiley & Sons Inc

Access to resources Recommend Favorite

Prediction of glucagon receptor antagonist activities of some substituted imidazoles using combined radial basis function neural network and density functional theory

By Shahlaei Mohsen Nazari Zohreh

Medicinal Chemistry Research, Vol. 23, Iss. 6, 2014-06 ,pp. : 2744-2756

Springer Publishing Company

Access to resources Recommend Favorite

Prediction Length of Stay with Neural Network Trained by Particle Swarm Optimization

International Journal of Big Data and Analytics in Healthcare (IJBDAH)*, Vol. 2, Iss. 2, 2017-07 ,pp. : 21-38

IGI Global_journal

Access to resources Recommend Favorite

Wavelet‐based analogous phase scintillation index for high latitudes

SPACE WEATHER (ELECTRONIC), Vol. 13, Iss. 8, 2015-08 ,pp. : 503-520

John Wiley & Sons Inc

Access to resources Recommend Favorite

Wavelet‐based analogous phase scintillation index for high latitudes

SPACE WEATHER (ELECTRONIC), Vol. 1542-7390, Iss. 8, 2015-08 ,pp. : 503-520

John Wiley & Sons Inc

Access to resources Recommend Favorite