A prediction model for compressive strength of CO2 concrete using regression analysis and artificial neural networks
Concrete is a very effective material for the construction of buildings and infrastructure
around the world. Unfortunately, typical concrete is a large contributor to CO 2 emissions …
around the world. Unfortunately, typical concrete is a large contributor to CO 2 emissions …
The applicability of TOPSIS-and fuzzy TOPSIS-based Taguchi optimization approaches in obtaining optimal fiber-reinforced concrete mix proportions
This research aims to illustrate and express the impact of analytical techniques such as
TOPSIS-and FTOPSIS-based Taguchi models on obtaining the optimum design of fiber …
TOPSIS-and FTOPSIS-based Taguchi models on obtaining the optimum design of fiber …
Analysis of the manufacturing flexibility parameters with effective performance metrics: a new interactive approach based on modified TOPSIS-Taguchi method
Flexibility is one of the most important strategy parameters to achieve a long-term successful
performance for a manufacturing company. Studies in the literature aim to operate a …
performance for a manufacturing company. Studies in the literature aim to operate a …
Development of a spreadsheet DSS for multi-response taguchi parameter optimization problems using the TOPSIS, VIKOR, and GRA methods
This paper presents a spreadsheet-based decision support system (DSS) for any parameter
optimization problem, in the small-and medium-sized enterprises to help the managers to …
optimization problem, in the small-and medium-sized enterprises to help the managers to …
Rough-AHP and MOORA-based Taguchi optimization for mixture proportion of building concrete
In the construction industry, materials that are used for producing construction concrete and
their mixture proportions are an important decision-making and optimization problem for …
their mixture proportions are an important decision-making and optimization problem for …
Investigation of the importance of machine sequence flexibility on a flexible manufacturing system performance
Machine sequence flexibility is defined as the combination of operation and routing
flexibilities in this study. Its importance in the performance level of a flexible manufacturing …
flexibilities in this study. Its importance in the performance level of a flexible manufacturing …
[PDF][PDF] A Prediction Model for CO 2 Concrete using Regression Analysis and Artificial Neural Networks
Concrete is a very effective material for the construction of buildings and infrastructure
around the world. Unfortunately, typical concrete is a large contributor to CO2 emissions and …
around the world. Unfortunately, typical concrete is a large contributor to CO2 emissions and …
[PDF][PDF] Journal of Science
IC Yusuf Tansel, M YURDAKUL, B DENGIZ, T SASMAZ - academia.edu
The need to meet customer demands in a competitive market without compromising quality
expectations is important for today's manufacturing companies. If this issue cannot be …
expectations is important for today's manufacturing companies. If this issue cannot be …
[PDF][PDF] A Neural Network Model for Ultrasonic Pulse Velocity and the Modulus of Elasticity of Polymer Concrete
B Şimşek, T Uygunoğlu - 2016 - iicbe.org
In this study, polymer concrete properties such as ultrasonic pulse velocity and the modulus
of elasticity were modeled by artificial neural network. Seven polymers were selected as …
of elasticity were modeled by artificial neural network. Seven polymers were selected as …
[PDF][PDF] Using Machine Learning for carbon-conditioning recycled aggregate concrete modelling
Environmental impact concerns are increasing in today's society globally. Greenhouse effect
is known as a natural process that warms the Earth's surface. However, human activities in …
is known as a natural process that warms the Earth's surface. However, human activities in …