Short-term prediction of foF2 using time-delay neural network

To test the ability and efficacy of neural networks in short-term predictio n of ionospheric parameters, this study used the time series of the ionosph eric foF2 data from Slough station during solar cycles 21 and 22. It descri bes different neural network architectures that led to similar conclusions on one-hour- ahead foF2 prediction. This prediction is compared with observ ations and results from linear and persistence models considered here as tw o special cases of the neural networks. (C) 1999 Elsevier Science Ltd. All rights reserved.