Spread-F prediction model for the equatorial Chumphon station, Thailand
P Thammavongsy, P Supnithi, W Phakphisut… - Advances in Space …, 2020 - Elsevier
This work proposes a range spread-F (RSF) prediction model using the neural network (NN)
over the equatorial Chumphon (CPN) region in Thailand. The RSF model is constructed by
using five input spaces including the diurnal variations, seasonal variations, geographic
latitude, solar flux index (F 10.7), and magnetic index (A p). The RSF NN model is trained
with three years of RSF data during 2013 to 2015 from Chumphon (CPN) station (Latitude=
10.7° N, Longitude= 99.4° E) and the performance of the proposed RSF NN model is …
over the equatorial Chumphon (CPN) region in Thailand. The RSF model is constructed by
using five input spaces including the diurnal variations, seasonal variations, geographic
latitude, solar flux index (F 10.7), and magnetic index (A p). The RSF NN model is trained
with three years of RSF data during 2013 to 2015 from Chumphon (CPN) station (Latitude=
10.7° N, Longitude= 99.4° E) and the performance of the proposed RSF NN model is …
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