TEZ7274Tez (Yüksek Lisans) -- Çukurova Üniversitesi, Adana, 2009.Kaynakça (s.42-45) var.Viii, 52 s. : rnk.res. ; 29 cm.The chemical composition and the uniformity of raw materials play an important role in the process economics and on finished cement quality, in cement manufacturing. On the other hand, it is important to determine 28-day cement strength of the Portland cement which is the most common type of cement for cement quality. In recent years, it is investigated that usage of soft computing techniques which have been popular particularly in engineering works. For this purpose, the prediction of lime saturation factor distributions of Adana Cement raw material site and 28-day compressive strength of cement product taken from Adana Ce...
In this study, an artificial neural network (ANN) and fuzzy logic (FL) study were developed to predi...
In this paper, results of a project aimed at modelling the compressive strength of cement mortar und...
Using soft computing methods could be of great interest in predicting the compressive strength of Ul...
Çimento üretiminde hammaddenin kimyasal kompozisyonu üretim işlemlerini ve çimentonun kalitesini etk...
A fuzzy logic prediction model for the 28-day compressive strength of cement mortar under standard c...
Thesis (M.S., Mechanical Engineering)--California State University, Sacramento, 2013.The purpose of ...
This study aimed at developing models predicting cement strength based on shallow neural networks (A...
Thesis (Master)--Izmir Institute of Technology, Chemical Engineering, Izmir, 2006Includes bibliograp...
Thesis (Master)--Izmir Institute of Technology, Materials Science and Engineering, Izmir, 2004Includ...
This project regards the prediction of 28 day compressive strengths of cement. Using traditional mul...
The dynamic approach of two well-known techniques has been used to predict a cement’s 28-day compres...
In this study, Fuzzy Logic models have been introduced to predict flexural strength values of cement...
TEZ6546Tez (Yüksek Lisans) -- Çukurova Üniversitesi, Adana, 2007.Kaynakça (s.70-74) var.viii, 75 s. ...
Geopolymer concrete (GPC) has been used as a partial replacement of Portland cement concrete (PCC) i...
This study aimed at developing models predicting cement strength based on shallow neural networks (A...
In this study, an artificial neural network (ANN) and fuzzy logic (FL) study were developed to predi...
In this paper, results of a project aimed at modelling the compressive strength of cement mortar und...
Using soft computing methods could be of great interest in predicting the compressive strength of Ul...
Çimento üretiminde hammaddenin kimyasal kompozisyonu üretim işlemlerini ve çimentonun kalitesini etk...
A fuzzy logic prediction model for the 28-day compressive strength of cement mortar under standard c...
Thesis (M.S., Mechanical Engineering)--California State University, Sacramento, 2013.The purpose of ...
This study aimed at developing models predicting cement strength based on shallow neural networks (A...
Thesis (Master)--Izmir Institute of Technology, Chemical Engineering, Izmir, 2006Includes bibliograp...
Thesis (Master)--Izmir Institute of Technology, Materials Science and Engineering, Izmir, 2004Includ...
This project regards the prediction of 28 day compressive strengths of cement. Using traditional mul...
The dynamic approach of two well-known techniques has been used to predict a cement’s 28-day compres...
In this study, Fuzzy Logic models have been introduced to predict flexural strength values of cement...
TEZ6546Tez (Yüksek Lisans) -- Çukurova Üniversitesi, Adana, 2007.Kaynakça (s.70-74) var.viii, 75 s. ...
Geopolymer concrete (GPC) has been used as a partial replacement of Portland cement concrete (PCC) i...
This study aimed at developing models predicting cement strength based on shallow neural networks (A...
In this study, an artificial neural network (ANN) and fuzzy logic (FL) study were developed to predi...
In this paper, results of a project aimed at modelling the compressive strength of cement mortar und...
Using soft computing methods could be of great interest in predicting the compressive strength of Ul...