Ersin Tulunay
Ersin Tulunay
Professor of Electrical and Electronical Engineering, Middle East Technical University
Verified email at - Homepage
Cited by
Cited by
Forecasting of ionospheric critical frequency using neural networks
O Altinay, E Tulunay, Y Tulunay
Geophysical research letters 24 (12), 1467-1470, 1997
Forecasting total electron content maps by neural network technique
E Tulunay, ET Senalp, SM Radicella, Y Tulunay
Radio science 41 (4), 2006
Temporal and spatial forecasting of ionospheric critical frequency using neural networks
A Kumluca, E Tulunay, I Topalli, Y Tulunay
Radio Science 34 (6), 1497-1506, 1999
The neural network technique––1: a general exposition
Y Tulunay, E Tulunay, ET Senalp
Advances in Space research 33 (6), 983-987, 2004
Temporal and spatial forecasting of the foF2 values up to twenty four hours in advance
E Tulunay, C Özkaptan, Y Tulunay
Physics and Chemistry of the Earth, Part C: Solar, Terrestrial & Planetary …, 2000
Development of algorithms and software for forecasting, nowcasting and variability of TEC
E Tulunay, ET Senalp, LR Cander, YK Tulunay, AH Bilge, E Mizrahi, ...
Annals of geophysics 47 (2-3 Sup.), 2004
Introduction to neural networks and their application to process control
E Tulunay
Neural Networks Advances and Applications, 241-273, 1991
The neural network technique––2: an ionospheric example illustrating its application
Y Tulunay, E Tulunay, ET Senalp
Advances in Space research 33 (6), 988-992, 2004
An attempt to model the influence of the trough on HF communication by using neural networks
Y Tulunay, E Tulunay, ET Senalp
Radio Science 36 (5), 1027-1041, 2001
Near-Earth space plasma modelling and forecasting
HJ Strangeways, I Kutiev, LR Cander, S Kouris, V Gherm, D Marin, ...
Annals of geophysics 52 (3-4), 255-271, 2009
Total electron content (TEC) forecasting by Cascade Modeling: A possible alternative to the IRI-2001
ET Senalp, E Tulunay, Y Tulunay
Radio Science 43 (04), 1-8, 2008
A case study on the ELF characterization of the Earth–ionosphere cavity: Forecasting the Schumann resonance intensities
Y Tulunay, E Altuntas, E Tulunay, C Price, T Ciloglu, Y Bahadırlar, ...
Journal of atmospheric and solar-terrestrial physics 70 (2-4), 669-674, 2008
Learning control of thermal systems
GM Dimirovski, A Dourado, E Ikonen, U Kortela, J Pico, B Ribeiro, ...
Control of Complex Systems, 317-337, 2001
Flight mechanics analysis of a tilt-rotor UAV
A Okan, O Tekinalp, M Kavsaoglu, O Armutcuoglu, E Tulunay
24th Atmospheric Flight Mechanics Conference, 4255, 1999
On learning control in industrial furnaces and boilers
GM Dimirovski, A Dourado, NE Gough, B Ribeiro, MJ Stankovski, IH Ting, ...
Proceedings of the 2000 IEEE International Symposium on Intelligent Control …, 2000
Aspects of HF radio propagation
EM Warrington, A Bourdillon, E Benito, C Bianchi, JP Monilié, M Muriuki, ...
Annals of Geophysics 52 (3-4), 301-321, 2009
Performance of IRI-based ionospheric critical frequency calculations with reference to forecasting
İ Ünal, ET Şenalp, A Yeşil, E Tulunay, Y Tulunay
Radio Science 46 (01), 1-10, 2011
Neural networks and cascade modeling technique in system identification
ET Senalp, E Tulunay, Y Tulunay
Turkish Symposium on Artificial Intelligence and Neural Networks, 84-91, 2005
Forecasting magnetopause crossing locations by using Neural Networks
Y Tulunay, DG Sibeck, ET Senalp, E Tulunay
Advances in Space Research 36 (12), 2378-2383, 2005
A fuzzy neural network model to forecast the percent cloud coverage and cloud top temperature maps
Y Tulunay, ET Şenalp, Ş Öz, LI Dorman, E Tulunay, SS Menteş, ME Akcan
Annales Geophysicae 26 (12), 3945-3954, 2008
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