ARAMA SONUÇLARI

Toplam 124 adet sonuçtan 20 tanesi görüntülenmektedir.

A probabilistic dynamic security assessment of large power systems using artificial neural networks

Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2017

SEVDA JAFARZADEH

Veysel Murat İstemihan Genç Tez Yüksek Lisans Tamamlandı

Positional drift compensation of mecanum wheeled robots using artificial neural networks

Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2019

KANSU OĞUZ CANBEK

Hülya Yalçın Tez Yüksek Lisans Tamamlandı

Short term load forecasting by using artificial neural networks

Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2020

ALI GHADIRIASL NOBARI

Belgin Türkay Tez Yüksek Lisans Tamamlandı

Comparison of energy production between observed and predicted wind speed series with artificial neural networks

Enerji Enstitüsü, İstanbul Teknik Üniversitesi, 2016

COŞKUN YILDIZ

Burak Barutçu Tez Yüksek Lisans Tamamlandı

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

Burak Barutçu Tam metin bildiri

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

Mustafa Altun Özgün Makale Approximate computingartificial neural networksfield programmable gate arrayshigh-level synthesisimage processingEVOLUTIONARY DESIGNENERGY

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

Onur Behzat Tokdemir Özgün Makale Artificial IntelligenceNeural NetworksConstruction Litigation

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

Gürkan Özden Özgün Makale artificial neural networksdata clustering analysisdata transformation

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

Hilmi Berk Çelikoğlu Özgün Makale Transportation mode choiceArtificial neural networks

Yield prediction of wheat in south-east region of Turkey by using artificial neural networks

The third International Conference on Agro-Geoinformatics, 11 Ağustos 2014

ÇAKIR YÜKSEL,KIRCI MÜRVET,GÜNEŞ ECE OLCAY

Yüksel Çakır Tam metin bildiri

Gradient like Systems as Continuous Methods for Approximating Maximum Clique Problem

Proceedings of Turkish Artificial Intelligence and Neural Networks Symposium, 24 Haziran 1998

ŞENGÖR NESLİHAN SERAP,ÇAKIR YÜKSEL,KIRCI MÜRVET,GÜZELİŞ CÜNEYT,MORGÜL ÖMER

Yüksel Çakır Tam metin bildiri

Characterization of tight-gas sand reservoirs from horizontal-well performance data using an inverse neural network

JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, Vol. 59, No. null, 2018, s. 35-46, ISSN: 1875-5100

KULGA İHSAN BURAK,ARTUN FAZIL EMRE,ERTEKİN TURGAY

İhsan Burak Kulga Özgün Makale Tight-gas sand reservoirsArtificial neural networksReservoir characterizationProbabilistic assessmentGranite Wash ReservoirWilliams Fork FormationFACIES

Development of a data-driven forecasting tool for hydraulically fractured, horizontal wells in tight-gas sands

COMPUTERS GEOSCIENCES, Vol. 103, No. null, 2017, s. 99-110, ISSN: 0098-3004

KULGA İHSAN BURAK,ARTUN FAZIL EMRE,ERTEKİN TURGAY

İhsan Burak Kulga Özgün Makale Tight-gas sandsData-driven modelingArtificial neural networksPerformance forecastingUncertainty analysisWilliams Fork FormationNEURO-SIMULATIONOPTIMIZATIONFIELDSOFT

Comments on Kavzoglu and Saka (2005) “Modelling local GPS/levelling geoid undulations using artificial neural networks

Journal of Geodesy, Vol. 78, No. 9, Ocak 2008, s. 177-178, ISSN: 2332-8223

KUTOĞLU ŞENOL HAKAN, ÇELİK RAHMİ NURHAN

Rahmi Nurhan Çelik Özgün Makale

Novel Approaches on Sovereign Credit Ratings

EUROPEAN JOURNAL OF PURE AND APPLIED MATHEMATICS, Vol. 11, No. 4, Ekim 2018, s. 1014-1026, ISSN: 1307-5543

ÖNAL NİSA ÖZGE,KARAÇUHA ERTUĞRUL

Nisa Özge Önal Tuğrul Özgün Makale Artificial neural networksAdaptive filtersNormalized least mean square algorithmSovereign credit ratingsStock market prediction

A Deep Hybrid Model for Recommendation Systems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11946, 19 Kasım 2019, s. 321, ISSN: 16113349 03029743

ÇAKIR MUHAMMET,ÖĞÜDÜCÜ ŞULE,TUGAY RESUL

Şule Öğüdücü Tam metin bildiri Job RecommendationImplicit feedbackHybrid systemsDeep neural networksContent-based filteringCollaborative Filtering

Artificial neural networks for dynamic monitoring of simulated-operating parameters of high temperature gas cooled engineering test reactor (HTTR)

Annals of Nuclear Energy, Vol. 30, No. 17, Kasım 2003, s. 1777-1791, ISSN: 03064549

ŞEKER ŞAHİN SERHAT,TÜRKCAN ERDİNÇ,AYAZ EMİNE,BARUTÇU BURAK

Şahin Serhat Şeker Özgün Makale

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

Oktay Taş Özgün Makale profit losselectricity price forecastingmixed integer linear programmingself-schedulinghydro-based generation companyARTIFICIAL NEURAL-NETWORKSUNIT COMMITMENTSPOT PRICESMARKETACCURACYMODELSPREDICTIONTURKEYARIMA

The Financial Effect of the Electricity Price Forecasts’ Inaccuracy on a Hydro-Based Generation Company

ENERGIES, Vol. 11, No. 8, Ağustos 2018, s. 2093, ISSN: 1996-1073

UĞURLU UMUT,TAŞ OKTAY,KAYA AYCAN,ÖKSÜZ İLKAY

Electricity Price Forecasting Using Recurrent Neural Networks

ENERGIES, Vol. 11, No. 5, Mayıs 2018, ISSN: 1996-1073

UĞURLU UMUT,ÖKSÜZ İLKAY,TAŞ OKTAY

Oktay Taş Özgün Makale electricity price forecastingdeep learninggated recurrent unitslong short term memoryartificial intelligenceturkish day-ahead marketREGIME-SWITCHING MODELSTIME-SERIESMARKETARIMALOADS

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