Otomatik üretim teknolojisine uygun betonların basınç dayanımlarının makine öğrenmesi ve derin öğrenme yöntemleri ile tahmin edilmesi/ Hüseyin Kayhan ; Hüseyin Kayhan; danışman Nihan Kazak Çerçevik.

By:

Kayhan, Hüseyin

Language: Turkish Series: Ref | No: 10481708 | Ref | No: 10481708Publisher: Bilecik : Bilecik Şeyh Edebali Üniversitesi 2022Description: IX, 57 sayfa: resimli; 30 cm. + 1CD-ROMContent type:

metin

Media type:

aracısız

Carrier type:

cilt

Subject(s):

LOC classification:

Tez 814

Online resources:

Click here to access online

Dissertation note: Tez (Yüksek Lisans) -- Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Enstitüsü Bilgisayar Mühendisliği Anabilim Dalı, Bilecik, .

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Holdings
Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	Thesis	Prof. Dr. Azmi Özcan Kütüphanesi			Depo	Tez/814 (Browse shelf(Opens below))					Available			T0000814

Kaynakça var.

İngilizce Eser Adı: Estimation of compressive strength of concretes suitable for automatic production technology with learning machine and deep learning methods.

Tez (Yüksek Lisans) -- Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Enstitüsü Bilgisayar Mühendisliği Anabilim Dalı, Bilecik, .

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