ARAMA SONUÇLARI

Toplam 8 adet sonuçtan 8 tanesi görüntülenmektedir.

Arama









Yıllara göre arama

Özel Aralık Girişi

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
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
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
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
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

İLETİŞİM BİLGİLERİ

İstanbul Teknik Üniversitesi Rektörlüğü İTÜ Ayazağa Kampüsü Rektörlük Binası, Maslak-Sarıyer / İstanbul Tel: +90 212 285 3930