A hybrid optimized learning‐based compressive performance of concrete prediction using GBMO‐ANFIS classifier and genetic algorithm reduction

Computational design optimization of concrete mixtures: A review

(2018) M.A. DeRousseau et al.   CEMENT AND CONCRETE RESEARCH

Genetic prediction of cement mortar mechanical properties with different cement strength class after freezing and thawing cycles

(2018) Mohammad Ghaemi-Fard et al.   Structural Concrete

Neural network model for predicting early strength of cementing materials

(2018) Jian Wang et al.   Structural Concrete

Numerical formulation of confined compressive strength and strain of circular reinforced concrete columns using gene expression programming approach

(2017) Ehsan Sadrossadat et al.   Structural Concrete

A minimum-of-maximum relative error support vector machine for simultaneous reverse prediction of concrete components

(2016) Jin Gou et al.   COMPUTERS & STRUCTURES

Reusing of marble and granite powders in self-compacting concrete for sustainable development

(2016) Dina M. Sadek et al.   JOURNAL OF CLEANER PRODUCTION

Principal Component Analysis combined with a Self Organization Feature Map to determine the pull-off adhesion between concrete layers

(2015) Łukasz Sadowski et al.   CONSTRUCTION AND BUILDING MATERIALS

Modeling slump of ready mix concrete using genetic algorithms assisted training of Artificial Neural Networks

(2015) Vinay Chandwani et al.   EXPERT SYSTEMS WITH APPLICATIONS

Prediction of Concrete Compressive Strength by Evolutionary Artificial Neural Networks

(2015) Mehdi Nikoo et al.   Advances in Materials Science and Engineering

Particle Swarm Optimization Based Feature Enhancement and Feature Selection for Improved Emotion Recognition in Speech and Glottal Signals

(2015) Hariharan Muthusamy et al.   PLoS One

Corrosion current density prediction in reinforced concrete by imperialist competitive algorithm

(2014) Lukasz Sadowski et al.   NEURAL COMPUTING & APPLICATIONS

Modeling slump of concrete with fly ash and superplasticizer

(2013) I-Cheng Yeh   Computers and Concrete

Gases Brownian Motion Optimization: an Algorithm for Optimization (GBMO)

(2012) Marjan Abdechiri et al.   APPLIED SOFT COMPUTING

A neural network approach for compressive strength prediction in cement-based materials through the study of pressure-stimulated electrical signals

(2011) Alex Alexandridis et al.   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

Evolutionary design of generalized GMDH-type neural network for prediction of concrete compressive strength using UPV

(2010) R. Madandoust et al.   COMPUTATIONAL MATERIALS SCIENCE

Modelling the mechanical behaviour of unsaturated soils using a genetic algorithm-based neural network

(2010) A. Johari et al.   COMPUTERS AND GEOTECHNICS

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

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 strengths of concrete-type specimens using hybrid multilayer perceptrons with center-unified particle swarm optimization

(2009) Hsing-Chih Tsai   EXPERT SYSTEMS WITH APPLICATIONS

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 concrete strength using ultrasonic pulse velocity and artificial neural networks

(2008) Gregor Trtnik et al.   ULTRASONICS

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