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Ali Aytek
Ali Aytek
Gaziantep Islam Bilim ve Teknoloji Üniversitesi
Verified email at gibtu.edu.tr - Homepage
Title
Cited by
Cited by
Year
A genetic programming approach to suspended sediment modelling
A Aytek, Ö Kişi
Journal of hydrology 351 (3-4), 288-298, 2008
2772008
Stochastic generation of hourly mean wind speed data
H Aksoy, ZF Toprak, A Aytek, NE Ünal
Renewable energy 29 (14), 2111-2131, 2004
1852004
Sea water level forecasting using genetic programming and comparing the performance with artificial neural networks
MA Ghorbani, R Khatibi, A Aytek, O Makarynskyy, J Shiri
Computers & geosciences 36 (5), 620-627, 2010
1832010
New approach for stage–discharge relationship: gene-expression programming
A Guven, A Aytek
Journal of Hydrologic Engineering 14 (8), 812-820, 2009
1802009
An application of artificial intelligence for rainfall-runoff modeling
A Aytek, M Asce, M Alp
Journal of Earth System Science 117, 145-155, 2008
1742008
Genetic programming‐based empirical model for daily reference evapotranspiration estimation
A Guven, A Aytek, MI Yuce, H Aksoy
Clean–Soil, Air, Water 36 (10‐11), 905-912, 2008
1112008
Co-active neurofuzzy inference system for evapotranspiration modeling
A Aytek
Soft Computing 13, 691-700, 2009
1082009
Discussion of “Generalized regression neural networks for evapotranspiration modelling”
MIYNEU Hafzullah Aksoy , Aytac Guven , Ali Aytek
Hydrological Sciences Journal 52 (4), 825-831, 2009
58*2009
An explicit neural network formulation for evapotranspiration
A Aytek, A Guven, MI Yuce, H Aksoy
Hydrological sciences journal 53 (4), 893-904, 2008
512008
Rheological and strength performances of cold-bonded geopolymer made from limestone dust and bottom ash for grouting and deep mixing
H Güllü, MMD Al Nuaimi, A Aytek
Bulletin of Engineering Geology and the Environment 80, 1103-1123, 2021
362021
A genetic programming technique for lake level modeling
A Aytek, O Kisi, A Guven
Hydrology Research 45 (4-5), 529-539, 2014
182014
Explicit neural network in suspended sediment load estimation
Ö Kisi, A Aytek
Neural Network World 23 (6), 587, 2013
142013
A practical approach to formulate stage–discharge relationship in natural rivers
A Guven, A Aytek, HM Azamathulla
Neural Computing and Applications 23, 873-880, 2013
142013
Comment on ‘Kisi O. 2007. Evapotranspiration modelling from climatic data using a neural computing technique. Hydrological Processes 21: 1925–1934’
H Aksoy, A Guven, A Aytek, MI Yuce, NE Unal
Hydrological Processes: An International Journal 22 (14), 2715-2717, 2008
122008
SPI ve SPEI ile Samsun ili kuraklık analizi
Mİ YÜCE, H AKSOY, A Aytek, E Musa, U Fetihhan, Y İslam, A Şimşek, ...
Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi 25 (3 …, 2022
62022
REPLY to Discussion of “An explicit neural network formulation for evapotranspiration”
A Aytek, A Guven, MI Yuce, H Aksoy
Taylor & Francis Group 54 (2), 389-393, 2009
42009
TÜRKİYE’NİN ULUSLARARASI SANAL SU TRANSFERİNİN İNCELENMESİ: BUĞDAY İÇİN BİR VAKA ANALİZİ
A MURATOĞLU, Mİ YÜCE, A AYTEK
22019
DOĞU AKDENİZ BÖLGESİ YAĞIŞ ŞİDDET-SÜRE-TEKERRÜR ANALİZİ
İH Deger, Mİ Yüce, A Aytek
Education 2021, 2020
2020
Akarsu deltaları oluşumunun matematik modellenmesi
A Aytek, N AĞIRALİOĞLU
İTÜDERGİSİ/d 5 (5), 2011
2011
11. ULUSAL HİDROLOJİ KONGRESİ
Mİ YÜCE, A AYTEK, NK DSİ, G ÖZTÜRKMEN, M EŞİT, E ALKAN, ...
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Articles 1–20