ARAMA SONUÇLARI

Toplam 70 adet sonuçtan 20 tanesi görüntülenmektedir.

Arama








Yıllara göre arama

Özel Aralık Girişi
Application of ANN for Short Term Forecasting of Wind Power Density
XV International Scientific Conference, Renewable Energy & Innovative Technologies, 10 Haziran 2016
AKINCI TAHİR ÇETİN,NOĞAY HIDIR SELÇUK,GUSEİNOVİENE ELEONORA,JELENA DİKUN,ŞEKER ŞAHİN SERHAT
Şahin Serhat Şeker Tam metin bildiri
Application of Intelligent Models for Flyrock Prediction Considering Design Parameters and Bench Face Characteristics
Mining, Metallurgy & Exploration, Vol. 40, No. 6, Aralık 2023, s. 2331-2347, ISSN: 2524-3462
HÜDAVERDİ TÜRKER, AĞAN YAŞAR
Türker Hüdaverdi Özgün Makale Adaptive-network-based fuzzy inference system (ANFIS) · Artificial neural network (ANN) · Blasting · Flyrock · Gaussian process regression (GPR) · Rock block size
The Application of ANN Technique to Load-frequenct Control for Three-area Power System
2001 IEEE Porto Power Tech Conference, Porto/PORTEKİZ, 10 Eylül 2001
DEMİRÖREN AYŞEN, ZEYNELGİL HATİCE LALE, ŞENGÖR NESLİHAN SERAP
Hatice Lale Zeynelgil Tam metin bildiri
The prediction of nonlinear polar motions PMS based on artificial neural network ANN and fuzzy inference system ANFIS
Aegean Conferences: 30 years of Nonlinear Dynamics in Geosciences, 3 Temmuz 2016
KUÇAK RAMAZAN ALPER,ULUĞ RAŞİT,AKYILMAZ ORHAN
Orhan Akyılmaz Özet Bildiri
Validation of an ANN Flow Prediction Model Using a Multistation Cluster Analysis
Journal of Hydrologic Engineering, RESTON/AMERİKA BİRLEŞİK DEVLETLERİ, Vol. 17, No. 2, Şubat 2012, s. 262-271, ISSN: 1084-0699
DEMİREL MEHMET CÜNEYD,BOOIJ MARTIJN J,KAHYA ERCAN
Mehmet Cüneyd Demirel Özgün Makale
Design of a decision support system to achieve condition-based maintenance in ship machinery systems
OCEAN ENGINEERING, Vol. 281, Ocak 2023, s. 9, ISSN: 0029-8018
KARATUĞ ÇAĞLAR, ARSLANOĞLU YASİN, GUEDES SOARES CARLOS
Çağlar Karatuğ Özgün Makale Ship machinery system Maintenance Condition -based maintenance Anomaly detection ANFIS ANN
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
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
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

İLETİŞİM BİLGİLERİ

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

İTÜ Bilgi İşlem Daire Başkanlığı ürünüdür © 2021