Ionospheric Modeling and Forecasting Based on Tomographic and Neural Network Method

The electron density values of one day in Hong Kong obtained by ionospheric tomographic are divided into 6 groups.Then,the 6 groups data are fitted modeling and forecasting by neural network method.The results show that the accuracy of electron density value forecasted by the tomographic and neural network model is significantly higher than the electron density value provided by IRI2007 model.The precision of the electron density forecast value within 30 minutes and 60 minutes can respectively arrive at 0.45 TECU and 1.34 TECU.