Predicting electricity production in a wind farm using artificial neural networks
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2023
ESMA AKYOL
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Energy-efficient hardware design of artificial neural networks for mobile platforms
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2023
MAHMUT BURAK KARADENİZ
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Estimating compaction characteristics of engineering fill materials based on soil index parameters using artificial neural networks
Fen Bilimleri Enstitüsü, Dokuz Eylül Üniversitesi, 2012
FATİH IŞIK
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A taxonomy of artificial neural networks
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2020
ALP EREN YILMAZ
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Circuit Aware Approximate System Design with Case Studies in Image Processing and Neural Networks
IEEE ACCESS, Vol. 7, No. null, 2019, s. 4726-4734, ISSN: 2169-3536
AYHAN TUBA,ALTUN MUSTAFA
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Application of radial basis function and generalized regression neural networks in non linear utility function specification for travel mode choice modelling
Mathematical and Computer Modelling, Vol. 44, No. 78, Ekim 2006, s. 640-658, ISSN: 0895-7177
ÇELİKOĞLU HİLMİ BERK
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Importance of data preprocessing for neural networks modeling The case of estimating the compaction parameters of soils
Energy Education Science and Technology Part A: Energy Science and Research, Trabzon/TÜRKİYE, Vol. 29, No. 2, Temmuz 2012, s. 871-882, ISSN: 1308-772X
IŞIK FATİH,ÖZDEN GÜRKAN
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Transfer learning for electricity price forecasting
SUSTAINABLE ENERGY GRIDS & NETWORKS, Vol. 34, Ocak 2023, s. 13, ISSN: 2352-4677
GÜNDÜZ SALİH, UĞURLU UMUT, ÖKSÜZ İLKAY
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Predicting the Outcome of Construction Litigation Using Neural Networks
Computer-Aided Civil and Infrastructure Engineering, Vol. 13, No. 2, Mart 1998, s. 75-81, ISSN: 1093-9687
ARDİTİ DAVİD,OKSAY FATİH E,TOKDEMİR ONUR BEHZAT
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The Combination of Neural Networks and an Expert System for On-Line Nuclear Power Plant Monitoring
13t International Conference on Artificial Neural Networks 10th International Conference on Neural Information Processing-ICANN/ICONIP, İstanbul/TÜRKİYE, 26 Haziran 2003, s. 406-409
NABESHIMA KUNIHIKO, AYAZ EMİNE, ŞEKER ŞAHİN SERHAT, BARUTÇU BURAK, TÜRKCAN ERDİNÇ
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Coasting Point Optimization for Mass Rail Transit Lines using Artificial Neural Networks and Genetic Algorithms
IET Electric Power Applications, Vol. 2, No. 3, Mart 2008, s. 172-182, ISSN: 1751-8660
AÇIKBAŞ SÜLEYMAN,SÖYLEMEZ MEHMET TURAN
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Electricity Price Forecasting Using Recurrent Neural Networks
ENERGIES, Vol. 11, No. 5, Mayıs 2018, ISSN: 1996-1073
UĞURLU UMUT,ÖKSÜZ İLKAY,TAŞ OKTAY
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The Financial Effect of the Electricity Price Forecasts’ Inaccuracy on a Hydro-Based Generation Company
ENERGIES, Vol. 11, No. 8, Ağustos 2018, ISSN: 1996-1073
UĞURLU UMUT,KAYA AYCAN,TAŞ OKTAY,ÖKSÜZ İLKAY
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Forest stand parameters from SPOT XS data by use of artificial neural networks
21th Annual Symposium of the European-Association-of-Remote-Sensing-Laboratories (EARSel), 14 Mayıs 2001, s. 185-189
ÖZTOPAL AHMET,COŞKUN HİLAL GONCA
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Lıght Rail Passenger Demand Forecasting by Artificial Neural Networks
39th International Conference on Computers and Industrial Engineering-ICC&IE, 6 Haziran 2009
ÇELEBİ DİLAY,BOLAT HÜR BERSAM,BAYRAKTAR DEMET
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Ship Detection From Optical Satellite Images With Deep Learning
2019 9TH INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN SPACE TECHNOLOGIES (RAST), No. null, 11 Haziran 2019, s. 479-484
KARTAL MESUT,DUMAN OSMAN
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Forecasting of Natural Gas Consumption by Artificial Neural Networks in Konya Region
INERMA’17, II. International Energy Raw Materials and Energy Summit, İstanbul/TÜRKİYE, 27 Eylül 2017, s. 9-14
AKIN BURCU,BARUTÇU BURAK
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Sentetik Türkçe sözcük kökleri üretimi
In Proceedings of the 12th Turkish Symposium on Artificial Intelligence and Neural Networks, Çanakkale/TÜRKİYE, 2 Temmuz 2003, s. 133-136
ERYİĞİT GÜLŞEN,TANTUĞ AHMET CÜNEYD,ADALI EŞREF,ERENLER YAŞAR
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Türkçe cümlelerin kural tabanlı bağlılık analizi
In Proceedings of the 15th Turkish Symposium on Artificial Intelligence and Neural Networks, İstanbul/TÜRKİYE, 21 Haziran 2006, s. 17-24
ERYİĞİT GÜLŞEN,OFLAZER KEMAL,ADALI EŞREF
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Learning with Type-2 Fuzzy activation functions to improve the performance of Deep Neural Networks
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, Vol. 85, Ekim 2019, s. 372-384, ISSN: 0952-1976
BEKE AYKUT,KUMBASAR TUFAN
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