Physics of auroral phenomena : proceedings of the 33rd Annual seminar, Apatity, 02 - 05 March, 2010 / [ed.: A.G. Yahnin, A. A. Mochalov]. - Апатиты : Издательство Кольского научного центра РАН, 2011. - 206 с. : ил.

N.A. Barkhatov, S.E. Revunov Fig. 3. Appearance of page with results of calculations. The current basic plot with results of calculation is published only till the moment o f reception of results new ANN experiment and as soon as possible will be rewritten. Results of last experiments are accessible under references from section «History of requests and calculations». Here references to the last a few ANN experiments are stored. Click on the reduced image it is possible to open the full-size plot. To identify results of the experiment under the user signature is possible. 5. Conclusion This tool for solving a wide range of tasks can be applied. It is the study of the general trends of nonlinear connections between the different parameters determining the causal relationships in the system «interplanetary space-magnetosphere- ionosphere» would be useful. It has already in different studies applied. Example studies: search the nonlinear connection the auroral electrojet activity between Solar wind parameters and Interplanetary Magnetic Field [Barkhatov et. al., 2008], restoration and prediction of geomagnetic activity index [Barkhatov et. al., 2001], restoration and the forecast maximum observed frequencies on the traces of oblique HF ionospheric sounding with perturbation heliogeophysical parameters [Barkhatov et. al., 2004; Barkhatov et. al., 2005a; Barkhatov et. al., 2006a; Barkhatova et. al., 2009], complex classification of global geomagnetic disturbances [Barkhatov et. al., 2005b; Barkhatov et. al., 2006b; Barkhatov et. al, 2006c] and space plasma jumps parameters [Barkhatov et. al., 2009]. Further it is planned to expand possibilities o f web service and to give to users possibility ANN classification of data packages. A c kn ow led gm en ts. Work is executed at partial support under grant of the RFBR 09-05-00495, and also program Ministry of Education and Science «Development o f higher school scientific potential (2009-2010, project N 1623)». References Barkhatov N.A., Korolev A.V., Ponomarev S.М., Sakharov S.Yu. Long-Term Forecasting of Solar Activity Indices Using Neural Networks // Radiophysics and Quantum Electronics, 2001, V.44, № 9, P. 742-749 Barkhatov N. A., Revunov S. E., Uryadov V. P. (2004), Forecasting of the critical frequency of the ionosphere F2 layer by the method of artificial neural networks. Int. J. Geomagnetism and Aeronomy, 5, GI2010, DOI: 10.1029/2004GI000065 Barkhatov N.A., Revunov S.E., Uryadov V.P. Artificial neural network technique for predicting the critical frequency of the ionospheric F2 layer // Radiophysics and Quantum Electronics, 2005, V.48. №1, P. 1-13 Barkhatov N.A., Levitin A.E., Revunov S.E. Classification of global geomagnetic disturbances based on space weather events complex // Solar-Terrestrial Physics, V. 8, SD RAS, Novosibirsk, 2005, P. 129-131 Barkhatov N.A., S.E. Revunov, G.G. Vertogradov, V.G. Vertogradov, V.A. Valov, V.P. Uryadov Prediction of the Maximum Observed Frequency of the Ionospheric HF Radio Channel Using the Method of Artificial Neural Networks // Geomagnetism and Aeronomy, 2006, V.46, N 1, P. 84-94 Barkhatov N.A., Gromova L.I., Dremukhina L.A., Levitin A.E., Revunov S.E., Ulybina R.I. Accounting energy budget of the magnetosphere in the problem of magnetospheric activity sources classification // RAS Newsletter (Physics), 2006, V. 70, N. 10, P.1535-1537 Barkhatov N.A., Levitin A.E., Revunov S.E. Complex classification of global geomagnetic disturbances // Kosmicheskie issledovaniya, 2006, V.44, N6, P. 488-499 Barkhatov N.A., A.E. Levitin, O.M. Tserkovnyuk Relation of the Indices Characterizing the Symmetric (SYM) and Asymmetric (ASY) Ring Currents to the AE (AU, AL) Indices of Auroral Electrojet Activity // Geomagnetism and Aeronomy, 2008, V.48, N 4, P. 499-504 Barkhatova O.M., Uryadov V.P., Vertogradov G.G., Vertogradov V.G. Spatio-temporal correlation of the maximum observable frequency on midlatitude radio lines // Radiophysics and Quantum Electronics, 2009, V.52, № 1,P. 24-30 Barkhatov N.A., Revunov S.E. Neural network classification of space plasma jumps parameters // Solar- Terrestrial Physics, V. 14, SD RAS, Novosibirsk, 2009. P.42-51 2 0