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Toplam 70 adet sonuçtan 20 tanesi görüntülenmektedir.

Comparison of ANN and ANFIS techniques on modelling of spread mooring systems

30th Asian-Pacific Technical Exchange and Advisory Meeting on Marine Structures, 10 Ekim 2016

MENTEŞ AYHAN,YETKİN MURAT,KİM YOOİL

Ayhan Menteş Tam metin bildiri

A novel artificial neural network-based interface coupling approach for partitioned fluid-structure interaction problems

ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS, Vol. 151, Ocak 2023, s. 22, ISSN: 0955-7997

MAZHAR FARRUKH, JAVED ALİ, ALTINKAYNAK ATAKAN

Atakan Altınkaynak Özgün Makale Fluid-structure interaction (FSI) Partitioned solver Interface treatment Artificial neural network (ANN) Meshfree particle methods (MPM)

Delamination Prediction in Layered Composites Using Optimized ANN Algorithms: A Comparative Analysis

Symmetry, Vol. 91, No. 1, Ocak 2025, s. 1-17, ISSN: 2073-8994

BALKAN DEMET

Demet Balkan Özgün Makale composite materialscrack propagationmode I delaminationartificial neural network

Multivariate regression (MVR) and different artificial neural network (ANN) models developed for optical transparency of conductive polymer nanocomposite films

Expert Systems with Applications, Vol. 207, Kasım 2022, s. 117937, ISSN: 0957-4174

DEMİRBAY BARIŞ, BAYRAM KARA DUYGU, UĞUR ŞAZİYE

Duygu Bayram Kara Özgün Makale

The thermal modeling for Underground cable based on ANN prediction

MedPRAI-Mediterranean Conference on Pattern REcognation and Artifical Intelligence, İstanbul/TÜRKİYE, 16 Aralık 2021

ALDULAİMİ ABDULLAH AHMED, GÜNEŞER MUHAMMET TAHİR, HAMEED ALAA ALI

Muhammet Tahir Güneşer Tam metin bildiri

Flow forecast by SWAT model and ANN in Pracana basin Portugal

Advances in Engineering Software, Vol. 40, No. 7, Temmuz 2009, s. 467-473, ISSN: 09659978

KAHYA ERCAN

Ercan Kahya Özgün Makale

Validation of an ANN Flow Prediction Model Using a Multistation Cluster Analysis

Journal of Hydrologic Engineering, Vol. 17, No. 2, Şubat 2012, s. 262-271, ISSN: 1084-0699

DEMİREL MEHMET CÜNEYD,KAHYA ERCAN,BOOİJ MARTİJN J.

Ercan Kahya Özgün Makale

A Pareto-optimal moving average multigene genetic programming model for daily streamflow prediction

JOURNAL OF HYDROLOGY, Vol. 549, No. null, 2017, s. 603-615, ISSN: 0022-1694

MEHR ALİ DANANDEH,KAHYA ERCAN

Ercan Kahya Özgün Makale Multigene genetic programmingStreamflow predictionPareto-optimalHydrological modellingARTIFICIAL NEURAL-NETWORKSANN MODELSFLOWREGRESSIONRIVERPRECIPITATIONCOEFFICIENTPERFORMANCEALGORITHMS

An artificial neural network (ANN) model to predict fresh water consumption on-board ship in maritime transportation.

12th International Silk Road Scientific Conference, 19 Mayıs 2017

ÇELİK ERKAN,AKYÜZ EMRE

Emre Akyüz Tam metin bildiri

Prediction of the power output of a power generation gas turbine using artificial neural network (ANN) approach - case study Libya

Lisansüstü Eğitim Enstitüsü, Karabük Üniversitesi, 2019

ALI SALEM MOHAMED EMDALEL

Muhammet Tahir Güneşer Tez Yüksek Lisans Tamamlandı

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