Classifying High Strength Concrete Mix Design Methods Using Decision Trees

Assessment of Soft Computing Techniques for the Prediction of Compressive Strength of Bacterial Concrete

(2022) Fadi Almohammed et al.   Materials

Predicting the Mechanical Properties of RCA-Based Concrete Using Supervised Machine Learning Algorithms

(2022) Meijun Shang et al.   Materials

Investigating Trends and Costs Associated with Designing Concrete Mixes Using Different Methods by Computer Programs

(2022) Mohammed Abdul Qader et al.   Advances in Civil Engineering

Prediction of Compressive Strength of Fly Ash Based Concrete Using Individual and Ensemble Algorithm

(2021) Ayaz Ahmad et al.   Materials

Analyzing the Compressive Strength of Ceramic Waste-Based Concrete Using Experiment and Artificial Neural Network (ANN) Approach

(2021) Hongwei Song et al.   Materials

Prediction of Healing Performance of Autogenous Healing Concrete Using Machine Learning

(2021) Xu Huang et al.   Materials

Predictive Modeling of Mechanical Properties of Silica Fume-Based Green Concrete Using Artificial Intelligence Approaches: MLPNN, ANFIS, and GEP

(2021) Afnan Nafees et al.   Materials

Machine Learning Techniques in Concrete Mix Design

(2019) Patryk Ziolkowski et al.   Materials

A generalized method to predict the compressive strength of high-performance concrete by improved random forest algorithm

(2019) Qinghua Han et al.   CONSTRUCTION AND BUILDING MATERIALS

Compressive strength prediction of recycled concrete based on deep learning

(2018) Fangming Deng et al.   CONSTRUCTION AND BUILDING MATERIALS

A modified firefly algorithm-artificial neural network expert system for predicting compressive and tensile strength of high-performance concrete

(2018) Dac-Khuong Bui et al.   CONSTRUCTION AND BUILDING MATERIALS

Predicting behavior of FRP-confined concrete using neuro fuzzy, neural network, multivariate adaptive regression splines and M5 model tree techniques

(2016) Iman Mansouri et al.   MATERIALS AND STRUCTURES

Prediction of Fresh and Hardened State Properties of UHPC: Comparative Study of Statistical Mixture Design and an Artificial Neural Network Model

(2015) Ehsan Ghafari et al.   JOURNAL OF MATERIALS IN CIVIL ENGINEERING

Two-level and hybrid ensembles of decision trees for high performance concrete compressive strength prediction

(2013) Halil Ibrahim Erdal   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Prediction of compressive strength of self-compacting concrete containing bottom ash using artificial neural networks

(2011) Rafat Siddique et al.   ADVANCES IN ENGINEERING SOFTWARE

Optimizing the Prediction Accuracy of Concrete Compressive Strength Based on a Comparison of Data-Mining Techniques

(2010) Jui-Sheng Chou et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Neural networks for predicting compressive strength of structural light weight concrete

(2009) Marai M. Alshihri et al.   CONSTRUCTION AND BUILDING MATERIALS