Predicting the compressive strength of concrete containing metakaolin with different properties using ANN

Predicting the Effect of Fly Ash on Concrete’s Mechanical Properties by ANN

(2021) Mohammad Mehdi Roshani et al.   Sustainability

The prediction of fire performance of concrete-filled steel tubes (CFST) using artificial neural network

(2021) M.J. Moradi et al.   THIN-WALLED STRUCTURES

An ANN Model for Predicting the Compressive Strength of Concrete

(2021) Chia-Ju Lin et al.   Applied Sciences-Basel

Prediction of Compressive Strength of Rice Husk Ash Concrete through Different Machine Learning Processes

(2021) Ammar Iqtidar et al.   Crystals

Prediction of the Load-Bearing Behavior of SPSW with Rectangular Opening by RBF Network

(2020) Mohammad Javad Moradi et al.   Applied Sciences-Basel

Estimation of the compressive strength of concretes containing ground granulated blast furnace slag using hybridized multi-objective ANN and salp swarm algorithm

(2020) Amirreza Kandiri et al.   CONSTRUCTION AND BUILDING MATERIALS

Optimizing fresh properties and compressive strength of self-consolidating concrete

(2020) Walid E. Elemam et al.   CONSTRUCTION AND BUILDING MATERIALS

Application of GMDH neural network technique to improve measuring precision of a simplified photon attenuation based two-phase flowmeter

(2020) Mohammadmehdi Roshani et al.   FLOW MEASUREMENT AND INSTRUMENTATION

X-ray tube with artificial neural network model as a promising alternative for radioisotope source in radiation based two phase flowmeters

(2020) Mohammadmehdi Roshani et al.   APPLIED RADIATION AND ISOTOPES

Combination of X-ray tube and GMDH neural network as a nondestructive and potential technique for measuring characteristics of gas-oil–water three phase flows

(2020) Mohammadmehdi Roshani et al.   MEASUREMENT

Prediction of Mechanical Properties of Rubberised Concrete Exposed to Elevated Temperature Using ANN

(2019) Trilok Gupta et al.   MEASUREMENT

Developing a Library of Shear Walls Database and the Neural Network Based Predictive Meta-Model

(2019) Mohammad Javad Moradi et al.   Applied Sciences-Basel

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

Linear and non-linear SVM prediction for fresh properties and compressive strength of high volume fly ash self-compacting concrete

(2019) Mohammad Azimi-Pour et al.   CONSTRUCTION AND BUILDING MATERIALS

Effect of nano-silica on mechanical properties and durability of self-compacting mortar containing natural zeolite: Experimental investigations and artificial neural network modeling

(2019) Danial Nasr et al.   CONSTRUCTION AND BUILDING MATERIALS

Predicting the compressive strength of normal and High-Performance Concretes using ANN and ANFIS hybridized with Grey Wolf Optimizer

(2019) Emadaldin Mohammadi Golafshani et al.   CONSTRUCTION AND BUILDING MATERIALS

Machine learning-based compressive strength prediction for concrete: An adaptive boosting approach

(2019) De-Cheng Feng et al.   CONSTRUCTION AND BUILDING MATERIALS

A unified model for predicting the compressive strength of recycled aggregate concrete containing supplementary cementitious materials

(2019) Tianyu Xie et al.   JOURNAL OF CLEANER PRODUCTION

Artificial neural network based mechanical and electrical property prediction of engineered cementitious composites

(2018) L. Shi 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

A novel optimised self-learning method for compressive strength prediction of high performance concrete

(2018) Yang Yu et al.   CONSTRUCTION AND BUILDING MATERIALS

Artificial neural network based modelling approach for strength prediction of concrete incorporating agricultural and construction wastes

(2018) Mulusew Aderaw Getahun et al.   CONSTRUCTION AND BUILDING MATERIALS

Predicting the compressive strength of silica fume concrete using hybrid artificial neural network with multi-objective grey wolves

(2018) Ali Behnood et al.   JOURNAL OF CLEANER PRODUCTION

Prediction of Compressive Strength of Concrete Using Artificial Neural Network and Genetic Programming

(2016) Palika Chopra et al.   Advances in Materials Science and Engineering

Machine learning in concrete strength simulations: Multi-nation data analytics

(2014) Jui-Sheng Chou et al.   CONSTRUCTION AND BUILDING MATERIALS

Precise volume fraction prediction in oil–water–gas multiphase flows by means of gamma-ray attenuation and artificial neural networks using one detector

(2014) G.H. Roshani et al.   MEASUREMENT

Prediction model for compressive strength of basic concrete mixture using artificial neural networks

(2014) Srđan Kostić et al.   NEURAL COMPUTING & APPLICATIONS

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

(2013) Halil Ibrahim Erdal   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

High-performance Concrete Compressive Strength Prediction using Time-Weighted Evolutionary Fuzzy Support Vector Machines Inference Model

(2012) Min-Yuan Cheng et al.   AUTOMATION IN CONSTRUCTION

Hybrid support vector regression – Particle swarm optimization for prediction of compressive strength and RCPT of concretes containing metakaolin

(2012) Siamak Safarzadegan Gilan et al.   CONSTRUCTION AND BUILDING MATERIALS

Influence of metakaolin as supplementary cementing material on strength and durability of concretes

(2012) A.A. Ramezanianpour et al.   CONSTRUCTION AND BUILDING MATERIALS

An optimized instance based learning algorithm for estimation of compressive strength of concrete

(2012) Behrouz Ahmadi-Nedushan   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

High performance concrete compressive strength forecasting using ensemble models based on discrete wavelet transform

(2012) Halil Ibrahim Erdal et al.   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

A new predictive model for compressive strength of HPC using gene expression programming

(2011) Seyyed Mohammad Mousavi et al.   ADVANCES IN ENGINEERING SOFTWARE

Predicting properties of High Performance Concrete containing composite cementitious materials using Artificial Neural Networks

(2011) Mohammad Iqbal Khan   AUTOMATION IN CONSTRUCTION

Predicting the core compressive strength of self-compacting concrete (SCC) mixtures with mineral additives using artificial neural network

(2011) Mucteba Uysal et al.   CONSTRUCTION AND BUILDING MATERIALS

Mix proportions for HPC incorporating multi-cementitious composites using artificial neural networks

(2011) Mohammad Iqbal Khan   CONSTRUCTION AND BUILDING MATERIALS

Prediction of the strength of mineral admixture concrete using multivariable regression analysis and an artificial neural network

(2011) U. Atici   EXPERT SYSTEMS WITH APPLICATIONS

High performance concrete with Czech metakaolin: Experimental analysis of strength, toughness and durability characteristics

(2010) Eva Vejmelková et al.   CONSTRUCTION AND BUILDING MATERIALS

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

Predicting the compressive strength of mortars containing metakaolin by artificial neural networks and fuzzy logic

(2009) Mustafa Sarıdemir   ADVANCES IN ENGINEERING SOFTWARE

Comparison of artificial neural network and fuzzy logic models for prediction of long-term compressive strength of silica fume concrete

(2009) Fatih Özcan et al.   ADVANCES IN ENGINEERING SOFTWARE

Prediction of the compressive strength of no-slump concrete: A comparative study of regression, neural network and ANFIS models

(2009) Jafar Sobhani et al.   CONSTRUCTION AND BUILDING MATERIALS

Predicting the compressive strength of ground granulated blast furnace slag concrete using artificial neural network

(2008) Cahit Bilim et al.   ADVANCES IN ENGINEERING SOFTWARE

Influence of metakaolin on the properties of mortar and concrete: A review

(2008) Rafat Siddique et al.   APPLIED CLAY SCIENCE

Prediction of long-term effects of GGBFS on compressive strength of concrete by artificial neural networks and fuzzy logic

(2008) Mustafa Sarıdemir et al.   CONSTRUCTION AND BUILDING MATERIALS

Prediction of compressive strength of SCC and HPC with high volume fly ash using ANN

(2008) B.K. Raghu Prasad et al.   CONSTRUCTION AND BUILDING MATERIALS

Prediction and multi-objective optimization of high-strength concrete parameters via soft computing approaches

(2008) Adil Baykasoğlu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Knowledge discovery of concrete material using Genetic Operation Trees

(2008) I-Cheng Yeh et al.   EXPERT SYSTEMS WITH APPLICATIONS

Prediction of compressive strength of concrete containing fly ash using artificial neural networks and fuzzy logic

(2007) İlker Bekir Topçu et al.   COMPUTATIONAL MATERIALS SCIENCE

Metakaolin concrete at a low water to binder ratio

(2007) J.M. Khatib   CONSTRUCTION AND BUILDING MATERIALS

Study on strength and corrosion performance for steel embedded in metakaolin blended concrete/mortar

(2006) Anand Kuber Parande et al.   CONSTRUCTION AND BUILDING MATERIALS