Data Generation for Murat River with Artificial Neural Networks
The 5th IASME / WSEAS International Conference on WATER RESOURCES, HYDRAULICS & HYDROLOGY (WHH'10), Cambridge/İNGİLTERE, 23 Şubat 2010, s. 73-77
ALBOSTAN ASLIHAN, BARUTÇU BURAK, ÖNÖZ BİHRAT
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Prediction of Short-Term Electricity Consumption by Artificial Neural Networks Using Temperature Variables
Avrupa Bilim ve Teknoloji Dergisi, Aralık 2018, s. 393-398, ISSN: 2148-2683
AYDIN DERYA,TOROS HÜSEYİN
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Artificial Neural Networks Approach to Improving Wind Speed of Weather Research Forecasting (WRF) Simulation over Turkey
ATMOS 2019 9th International Symposium on Atmospheric Sciences, İstanbul/TÜRKİYE, 23 Ekim 2019, s. 419-428
AKYIL DUYGU, MENTEŞ ŞÜKRAN SİBEL, BARUTÇU BURAK, KAYTANCI TARIK, EZBER YASEMİN
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Estimation of impedance control parameters with artificial neural networks for variable robotic resistive therapy
2015 6th International Conference on Modeling, Simulation, and Applied Optimization (ICMSAO), Istanbul, Turkey/TÜRKİYE, 27 Mayıs 2015
KORKMAZ FURKAN,YILMAZ ABDURRAHMAN,AKDOĞAN ERHAN,AKTAN MEHMET EMİN,ATLIHAN MURAT
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Anncolvar: Approximation of Complex Collective Variables by Artificial Neural Networks for Analysis and Biasing of Molecular Simulations
Frontiers in Molecular Biosciences, Vol. 6, Nisan 2019, ISSN: -
TRAPL DALİBOR,MARESKA VACLAV,HORVACANİN IZABELA,OZCELİK FURKAN,ÜNAL GÖZDE,SPİWOK VOJTECH
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Modeling Toothpaste Brand Choice An Empirical Comparison of Artificial Neural Networks and Multinomial Probit Model
International Journal of Computational Intelligence Systems, Vol. 3, No. 5, 2010, s. 674-687, ISSN: 1875-6891
KAYA TOLGA,AKTAŞ EMEL,TOPCU YUSUF İLKER,ÜLENGİN KEMAL BURÇ
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WEATHER DATA VISUALIZATION BY DESIGNING OF A SMART INTERFACE WITH GEOGRAPHICAL INFORMATION SYSTEM USING ARTIFICIAL NEURAL NETWORKS
INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN INFORMATION SYSTEMS AND ENGINEERING (IJSRISE), Vol. 3, No. 2, Ağustos 2017, s. 31-35, ISSN: 2380-8128
SIRT DOĞU,DAĞLARLI EVREN,ARIBAŞ ERKE
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Investigation of Seismic Behavior of Buried Pipelines with Artificial Neural Networks Algorithm
14th INTERNATIONAL CONGRESS ON ADVANCES IN CIVIL ENGINEERING (ACE 2020-21 ), İstanbul/TÜRKİYE, 6 Eylül 2021, s. 593-601
TOPRAK İREM, TOLON MERT, GHASEMLOUNIA REDVAN
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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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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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Accident Analysis for Construction Safety Using Latent Class Clustering and Artificial Neural Networks
Journal of Construction Engineering and Management, Vol. 146, No. 3, Mart 2020, ISSN: 0733-9364
AYHAN BİLAL UMUT,TOKDEMİR ONUR BEHZAT
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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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Prediction of Highway Bridge Performance by Artificial Neural Networks and Genetic Algorithms
ISARC 17, Taipei, Taiwan/TAYVAN, 18 Eylül 2000, s. 1091-1098
TOKDEMİR ONUR BEHZAT,AYVALIK CEMAL,MOHAMMADİ JAMSHİD
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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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Comparison of Auto-Regressive Model and Artificial Neural Networks for feedstock supply forecasting in first generation bioethanol production
International Conference on Energy and Thermal Engineering: Istanbul 2017 (ICTE 2017), İstanbul/TÜRKİYE, 25 Nisan 2017
BAYRAKDAR ATEŞ EZGİ, BARUTÇU BURAK, KARAOSMANOĞLU FİLİZ
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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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Determination of the Representative Time Horizons for Short-term Wind Power Prediction by Using Artificial Neural Networks
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, Vol. 36, No. 16, Haziran 2014, s. 1800-1809, ISSN: 1556-7036
İZGİ ERCAN,ÖZTOPAL AHMET,YERLİ BİHTER,KAYMAK MUSTAFA KEMAL,ŞAHİN AHMET DURAN
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Short mid term solar power prediction by using artificial neural networks
Solar Energy, Vol. 86, No. 2, Şubat 2012, s. 725-733, ISSN: 0038092X
İZGİ ERCAN,ÖZTOPAL AHMET,BİHTER YERLİ,MUSTAFA KEMAL KAYMAK,ŞAHİN AHMET DURAN
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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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Comparative Research on Deep Learning Approaches for Airplane Detection from VeryHigh-Resolution Satellite Images Artificial Neural Networks and Evolutionary Computation in Remote Sensing
BASEL/İSVİÇRE, 2021, s. 169-196, MDPI
ALGANCI UĞUR,SOYDAŞ MEHMET,SERTEL ELİF
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