-
1
-
-
0031166054
-
Forecasting of ionospheric critical frequency using neural networks
-
–
-
Altinay, O., Tulunay, E., and Tulunay, Y.: Forecasting of ionospheric critical frequency using neural networks, Geophys. Res. Lett., 24, 1467–1470, 1997.
-
(1997)
Geophys. Res. Lett
, vol.24
, pp. 1467-1470
-
-
Altinay, O.1
Tulunay, E.2
Tulunay, Y.3
-
2
-
-
0000147149
-
Intercomparison of physical models and observations of the ionosphere
-
–
-
Anderson, D. N., Buonsanto, M. J., Codrescu, M. et al.: Intercomparison of physical models and observations of the ionosphere, J. Geophys. Res., 103, 2179–2192, 1998.
-
(1998)
J. Geophys. Res
, vol.103
, pp. 2179-2192
-
-
Anderson, D.N.1
Buonsanto, M.J.2
Codrescu, M.3
-
3
-
-
0035271048
-
International Reference Ionosphere 2000
-
–
-
Bilitza, D.: International Reference Ionosphere 2000, Radio Sci., 36, 261–275, 2001.
-
(2001)
Radio Sci
, vol.36
, pp. 261-275
-
-
Bilitza, D.1
-
4
-
-
0009094860
-
Towards a better representation of the IRI topside based on ISIS and Alouette data
-
–
-
Bilitza, D. and Williamson, R.: Towards a better representation of the IRI topside based on ISIS and Alouette data, Adv. Space Res., 25(1), 149–152, 2000.
-
(2000)
Adv. Space Res
, vol.25
, Issue.1
, pp. 149-152
-
-
Bilitza, D.1
Williamson, R.2
-
5
-
-
0032490764
-
Ionospheric forecasting technique by artificial neural network
-
–
-
Cander, L. R., Milosavljevic, M. M., Stankovic, S. S., and Tomasevic, S.: Ionospheric forecasting technique by artificial neural network, Electronics Lett., 34, 1573–1574, 1998.
-
(1998)
Electronics Lett
, vol.34
, pp. 1573-1574
-
-
Cander, L.R.1
Milosavljevic, M.M.2
Stankovic, S.S.3
Tomasevic, S.4
-
6
-
-
34248582265
-
-
Cueto, M., Co\sson, P., Radicella, S. M., Herraiz, M., Ciraolo, L., and Brunini, C.: Topside ionosphere and plasmasphere: Use of NeQuick in connection with Gallagher plasmasphere model, Adv. Space Res., 39, 739–743, 2007.
-
Cueto, M., Co\"sson, P., Radicella, S. M., Herraiz, M., Ciraolo, L., and Brunini, C.: Topside ionosphere and plasmasphere: Use of NeQuick in connection with Gallagher plasmasphere model, Adv. Space Res., 39, 739–743, 2007.
-
-
-
-
7
-
-
33750970534
-
Advanced specification of electron density and temperature in the IRI ionosphere-plasmasphere model
-
–
-
Gulyaeva, T. L. and Titheridge, J. E.: Advanced specification of electron density and temperature in the IRI ionosphere-plasmasphere model, Adv. Space Res., 38, 2587–2595, 2006.
-
(2006)
Adv. Space Res
, vol.38
, pp. 2587-2595
-
-
Gulyaeva, T.L.1
Titheridge, J.E.2
-
8
-
-
34249091646
-
Comparison of two IRI electron-density plasmasphere extensions with GPS-TEC observations
-
–
-
Gulyaeva, T. L. and Gallagher, D. L.: Comparison of two IRI electron-density plasmasphere extensions with GPS-TEC observations, Adv. Space Res., 39, 744–749, 2007.
-
(2007)
Adv. Space Res
, vol.39
, pp. 744-749
-
-
Gulyaeva, T.L.1
Gallagher, D.L.2
-
9
-
-
0004063090
-
-
– A comprehensive foundation, Macmillan College Publishing Company, Inc
-
Haykin, S.: Neural networks – A comprehensive foundation, Macmillan College Publishing Company, Inc., 1994.
-
(1994)
Neural networks
-
-
Haykin, S.1
-
10
-
-
0033226131
-
Temporal and spatial forecasting of ionospheric critical frequency using neural networks
-
–
-
Kumluca, A., Tulunay, E., Topalli, I., and Tulunay, Y.: Temporal and spatial forecasting of ionospheric critical frequency using neural networks, Radio Sci., 34, 1497–1506, 1999.
-
(1999)
Radio Sci
, vol.34
, pp. 1497-1506
-
-
Kumluca, A.1
Tulunay, E.2
Topalli, I.3
Tulunay, Y.4
-
11
-
-
0242574750
-
Derivation of TEC and estimation of instrumental biases from GEONET in Japan
-
–
-
Ma, G. and Maruyama, T.: Derivation of TEC and estimation of instrumental biases from GEONET in Japan, Ann. Geophys., 21, 2083–2093, 2003.
-
(2003)
Ann. Geophys
, vol.21
, pp. 2083-2093
-
-
Ma, G.1
Maruyama, T.2
-
12
-
-
34547121733
-
A neural network-based ionospheric model for the auroral zone
-
–
-
McKinnell, L. A. and Friedrich, M.: A neural network-based ionospheric model for the auroral zone, J. Atmos. Sol.-Terr. Phy., 69, 1459–1470, 2007.
-
(2007)
J. Atmos. Sol.-Terr. Phy
, vol.69
, pp. 1459-1470
-
-
McKinnell, L.A.1
Friedrich, M.2
-
13
-
-
18244375923
-
Predicting the ionospheric F layer using neural networks
-
doi:10.1029/2004JA010445
-
McKinnell, L. A. and Poole, A. W. V.: Predicting the ionospheric F layer using neural networks, J. Geophys. Res., 109, A08308, doi:10.1029/2004JA010445, 2004.
-
(2004)
J. Geophys. Res
, vol.109
-
-
McKinnell, L.A.1
Poole, A.W.V.2
-
14
-
-
32844467061
-
On the global model for foF2 using neural networks
-
doi:10.1029/2004RS003223
-
Oyeyemi, E. O., Poole, A. W. V., and McKinnell, L. A.: On the global model for foF2 using neural networks, Radio Sci., 40, RS6011, doi:10.1029/2004RS003223, 2005.
-
(2005)
Radio Sci
, vol.40
-
-
Oyeyemi, E.O.1
Poole, A.W.V.2
McKinnell, L.A.3
-
15
-
-
33750371835
-
Near-real time foF2 predictions using neural networks
-
–
-
Oyeyemi, E. O., McKinnell, L. A., and Poole, A. W. V.: Near-real time foF2 predictions using neural networks, J. Atmos. Sol.-Terr. Phy., 68, 1807–1818, 2006.
-
(2006)
J. Atmos. Sol.-Terr. Phy
, vol.68
, pp. 1807-1818
-
-
Oyeyemi, E.O.1
McKinnell, L.A.2
Poole, A.W.V.3
-
16
-
-
0033892795
-
On the predictability of foF2 using neural networks
-
–
-
Poole, A. W. V. and McKinnell, L. A.: On the predictability of foF2 using neural networks, Radio Sci., 35, 225–234, 2000.
-
(2000)
Radio Sci
, vol.35
, pp. 225-234
-
-
Poole, A.W.V.1
McKinnell, L.A.2
-
17
-
-
0036054602
-
Long-term trends in foF2 over Grahamstown using neural networks
-
–
-
Poole, A. W. V. and Poole, M.: Long-term trends in foF2 over Grahamstown using neural networks, Ann. Geophys., 45, 155–161, 2002.
-
(2002)
Ann. Geophys
, vol.45
, pp. 155-161
-
-
Poole, A.W.V.1
Poole, M.2
-
18
-
-
34248525931
-
Modeling the F2 topside and plasmasphere for IRI using IMAGE/RPI and ISIS data
-
–
-
Reinisch, B. W., Nsumei, P., Huang, X., and Bilitza, D. K.: Modeling the F2 topside and plasmasphere for IRI using IMAGE/RPI and ISIS data, Adv. Space Res., 39, 731–738, 2007.
-
(2007)
Adv. Space Res
, vol.39
, pp. 731-738
-
-
Reinisch, B.W.1
Nsumei, P.2
Huang, X.3
Bilitza, D.K.4
-
19
-
-
0022471098
-
Learning representations by back-propagating errors
-
–
-
Rumelhart, D. E., Hinton, G. E., and Williams, R. J.: Learning representations by back-propagating errors, Nature, 323, 533–536, 1986.
-
(1986)
Nature
, vol.323
, pp. 533-536
-
-
Rumelhart, D.E.1
Hinton, G.E.2
Williams, R.J.3
-
20
-
-
0030386647
-
Neural networks, foF2, sunspot number and magnetic activity
-
–
-
Williscroft, L. A. and Poole, A. W. V.: Neural networks, foF2, sunspot number and magnetic activity, Geophys. Res. Lett., 23, 3659–3662, 1996.
-
(1996)
Geophys. Res. Lett
, vol.23
, pp. 3659-3662
-
-
Williscroft, L.A.1
Poole, A.W.V.2
-
21
-
-
0033745077
-
Twenty-four hour predictions of foF2 using time delay neural networks
-
–
-
Wintoft, P. and Cander, L. R.: Twenty-four hour predictions of foF2 using time delay neural networks, Radio Sci., 35, 395–408, 2000.
-
(2000)
Radio Sci
, vol.35
, pp. 395-408
-
-
Wintoft, P.1
Cander, L.R.2
-
22
-
-
33947494589
-
Applying artificial neural network to derive long-term foF2 trends in the Asia/Pacific sector from ionosonde observations
-
doi:10.1029/2005JA011577
-
Yue, X., Wan, W., Liu, L., Ning, B., and Zhao, B.: Applying artificial neural network to derive long-term foF2 trends in the Asia/Pacific sector from ionosonde observations, J. Geophys. Res., 111, A10303, doi:10.1029/2005JA011577, 2006.
-
(2006)
J. Geophys. Res
, vol.111
-
-
Yue, X.1
Wan, W.2
Liu, L.3
Ning, B.4
Zhao, B.5
|