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Toplam 9 adet sonuçtan 9 tanesi görüntülenmektedir.

Comparing the accuracy of ANN and ANFIS models for predicting the thermal data

Journal of Construction Engineering, Management & Innovation, Vol. 5, No. 2, Haziran 2022, s. 119-139, ISSN: 2630-5771

ALDİN SAMİ SHAMS, SÖZER HATİCE

Hatice Sözer Özgün Makale Building energy performance prediction modelsThe accuracy of predictionsANNANFIS

Tree-based nonlinear ensemble technique to predict energy dissipation in stepped spillways

European Journal of Environmental and Civil Engineering, Vol. 26, No. 6, Ağustos 2022, s. 3547-3565, ISSN: 1964-8189

EKMEKCİOĞLU ÖMER,BAŞAKIN EYYUP ENSAR,ÖZGER MEHMET

Ömer Ekmekcioğlu Özgün Makale Energy dissipationstepped spillwaytree-based ensemble modelsmachine learningRAINFALL-RUNOFF MODELSSKIMMING FLOWNUMERICAL-SIMULATIONNEURAL-NETWORKSCALIBRATIONREGRESSIONANN

Tree-based nonlinear ensemble technique to predict energy dissipation in stepped spillways

European Journal of Environmental and Civil Engineering, Vol. 26, No. 6, Ağustos 2022, s. 3547-3565, ISSN: 1964-8189

EKMEKCİOĞLU ÖMER,BAŞAKIN EYYUP ENSAR,ÖZGER MEHMET

Eyyup Ensar Başakın Özgün Makale Energy dissipationstepped spillwaytree-based ensemble modelsmachine learningRAINFALL-RUNOFF MODELSSKIMMING FLOWNUMERICAL-SIMULATIONNEURAL-NETWORKSCALIBRATIONREGRESSIONANN

Tree-based nonlinear ensemble technique to predict energy dissipation in stepped spillways

European Journal of Environmental and Civil Engineering, Vol. 26, No. 6, Ağustos 2022, s. 3547-3565, ISSN: 1964-8189

EKMEKCİOĞLU ÖMER,BAŞAKIN EYYUP ENSAR,ÖZGER MEHMET

Mehmet Özger Özgün Makale Energy dissipationstepped spillwaytree-based ensemble modelsmachine learningRAINFALL-RUNOFF MODELSSKIMMING FLOWNUMERICAL-SIMULATIONNEURAL-NETWORKSCALIBRATIONREGRESSIONANN

Prediction of tool wear using regression and ANN models in end-milling operation a critical review

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, Vol. 43, No. 7-8, Ağustos 2009, s. 765-766, ISSN: 0268-3768

ERDİK TARKAN,ŞEN ZEKAİ

Tarkan Erdik Vaka Takdimi

Peak discharge prediction due to embankment dam break by using sensitivity analysis based ANN

KSCE Journal of Civil Engineering, Vol. 18, No. 6, 2014, s. 1868-1876, ISSN: 1226-7988

PEKTAŞ ALİOSMAN,ERDİK TARKAN

Tarkan Erdik Özgün Makale artificial neural networksmultilayer perceptronssensitivity analysispeak dischargeembankment dam failurevariable importanceARTIFICIAL NEURAL-NETWORKSENHANCED PREDICTIONSSIMULATION-MODELSOUTFLOWVALIDATIONPARAMETERS

Comparison of ANN and CBR models for early cost prediction of structural systems

17th International Conference on the Applications of Computer Science and Mathematics in Architecture and Civil Enginnering, Weimar/ALMANYA, No. bildiri no: f12, 12 Temmuz 2006

DOĞAN SEVGİ ZEYNEP,ARDITI DAVID,GÜNAYDIN HÜSNÜ MURAT

Hüsnü Murat Günaydın Tam metin bildiri

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, ISSN: 0957-4174

DEMİRBAY BARIŞ, BAYRAM KARA DUYGU, UĞUR ŞAZİYE

Duygu Bayram Kara 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

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