Using a neural network to make operational forecasts of ionospheric variations and storms at Kokubunji, Japan
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[1] D. F. Martyn. The morphology of the ionospheric variations associated with magnetic disturbance I. Variations at moderately low latitudes , 1953, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.
[2] S. Matsushita. A study of the morphology of ionospheric storms , 1959 .
[3] T. Yonezawa. Theory of formation of the ionosphere , 1966 .
[4] H. Rishbeth,et al. The origin of storm increases of mid-latitude F-layer electron concentration , 1971 .
[5] N. Matuura. Theoretical models of ionospheric storms , 1972 .
[6] H. Rishbeth,et al. Field-aligned and field-perpendicular velocities in the ionospheric F2-layer , 1978 .
[7] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.
[8] Geoffrey E. Hinton,et al. Learning representations by back-propagation errors, nature , 1986 .
[9] Geoffrey E. Hinton,et al. Learning representations of back-propagation errors , 1986 .
[10] Ken-ichi Funahashi,et al. On the approximate realization of continuous mappings by neural networks , 1989, Neural Networks.
[11] V. Tikhomirov. On the Representation of Continuous Functions of Several Variables as Superpositions of Continuous Functions of one Variable and Addition , 1991 .
[12] D. Bilitza,et al. International Reference Ionosphere - Past, Present, Future , 1993 .
[13] L. Bossy,et al. International Reference Ionosphere: Past, present, and future. I - Electron density. II - Plasma temperatures, ion composition and ion drift , 1993 .
[14] S. Hyakin,et al. Neural Networks: A Comprehensive Foundation , 1994 .
[15] Lee-Anne Williscroft,et al. Neural networks, foF2, sunspot number and magnetic activity , 1996 .
[16] L. R. Cander,et al. Neural networks in ionospheric prediction and short-term forecasting , 1997 .
[17] Ersin Tulunay,et al. Temporal and spatial forecasting of ionospheric critical frequency using neural networks , 1999 .
[18] Lj.R. Cander,et al. Short-Term Prediction of foF2 using Time-Delay Neural Network , 1999 .
[19] Peter Wintoft,et al. Ionospheric foF2 storm forecasting using neural networks , 2000 .
[20] J. Nazuno. Haykin, Simon. Neural networks: A comprehensive foundation, Prentice Hall, Inc. Segunda Edición, 1999 , 2000 .
[21] G. D.. Chemistry of the thermosphere and ionosphere , 2002 .
[22] W. Wan,et al. Modeling investigation of ionospheric storm effects over Millstone Hill during August 4–5, 1992 , 2004 .
[23] Lee-Anne McKinnell,et al. Predicting the ionospheric F layer using neural networks , 2004 .
[24] N. Barkhatov. Forecasting of the critical frequency of the ionosphereF2 layer by the method of artificial neural networks , 2004 .
[25] L. McKinnell,et al. On the global model for foF2 using neural networks , 2005 .
[26] L. Libin,et al. Forecasting of Ionospheric Critical Frequency Using Neural Networks , 2005, Chinese Journal of Space Science.
[27] Lee-Anne McKinnell,et al. On the global short‐term forecasting of the ionospheric critical frequency foF2 up to 5 hours in advance using neural networks , 2005 .
[28] T. Maruyama,et al. Ionospheric responses to the October 2003 superstorm: Longitude/local time effects over equatorial low and middle latitudes , 2007 .