Prediction of the Nighttime VLF Subionospheric Signal Amplitude by Using Nonlinear Autoregressive with Exogenous Input Neural Network Model

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ADS bibcode
2015AGUFMSA51A2390S
year
2015
Listed Authors
Santosa, H.
Hobara, Y.
Balikhin, M. A.
Listed Institutions
Electrical Engineering, Bengkulu University, Bengkulu, Indonesia; University of Electro-Communications, Tokyo, Japan
The University of Electro-Communications, Earth Environment Research Station, Chofu, Tokyo, Japan; The Univ. of Electro-Comms, Chofu-City, Tokyo, Japan
The University of Sheffield, Department of Automatic Control and Systems Engineering, Sheffield, United Kingdom

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