4th International Conference on Sustainable Construction Materials and Technologies, SCMT 2016 -- 7 August 2016 through 11 August 2016 -- -- 137590The gene expression programming that is one of the artificial intelligence techniques, have been commonly used to model some of civil engineering applications. In this study, two models in the gene expression programming for predicting the elastic modulus of concrete containing fly Ash have been developed. First model is proposed for the elastic modulus prediction from compressive strength of concrete containing fly Ash, and second model is proposed for the elastic modulus prediction from amount of fly Ash and compressive strength of concrete containing fly ash. For the aim of building these mode...
Climate change has become trending news due to its serious impacts on Earth. Initiatives are being t...
To minimize the environmental risks and for sustainable development, the utilization of recycled agg...
AbstractThis paper presents applying gene expression programming (GEP) approach for predicting the p...
In the modelling study, two models are presented by gene expression programming (GEP) for estimation...
The experimental design of high-strength concrete (HSC) requires deep analysis to get the target str...
WOS: 000279650900014Soft computing techniques have recently been widely used to model some of human ...
WOS: 000295754200048In this study, gene expression programming (GEP) formulations for splitting tens...
There has been increasing growth in incorporating fly ash as a supplementary cementitious material i...
Annually, the thermal coal industries produce billion tons of fly-ash (FA) as a waste by-product. Wh...
The depletion of natural resources of river sand and its availability issues as a construction mater...
Foundry sand (FS) is produced as a waste material by metal casting foundries. It is being utilized a...
One of the problems of optimization of concrete is to formulate a mathematical equation that shows t...
This paper presents new empirical models for prediction of the mechanical properties of recycled agg...
The application of multiphysics models and soft computing techniques is gaining enormous attention i...
In this paper, the gene expression-programming model was applied to present a novel model for the bo...
Climate change has become trending news due to its serious impacts on Earth. Initiatives are being t...
To minimize the environmental risks and for sustainable development, the utilization of recycled agg...
AbstractThis paper presents applying gene expression programming (GEP) approach for predicting the p...
In the modelling study, two models are presented by gene expression programming (GEP) for estimation...
The experimental design of high-strength concrete (HSC) requires deep analysis to get the target str...
WOS: 000279650900014Soft computing techniques have recently been widely used to model some of human ...
WOS: 000295754200048In this study, gene expression programming (GEP) formulations for splitting tens...
There has been increasing growth in incorporating fly ash as a supplementary cementitious material i...
Annually, the thermal coal industries produce billion tons of fly-ash (FA) as a waste by-product. Wh...
The depletion of natural resources of river sand and its availability issues as a construction mater...
Foundry sand (FS) is produced as a waste material by metal casting foundries. It is being utilized a...
One of the problems of optimization of concrete is to formulate a mathematical equation that shows t...
This paper presents new empirical models for prediction of the mechanical properties of recycled agg...
The application of multiphysics models and soft computing techniques is gaining enormous attention i...
In this paper, the gene expression-programming model was applied to present a novel model for the bo...
Climate change has become trending news due to its serious impacts on Earth. Initiatives are being t...
To minimize the environmental risks and for sustainable development, the utilization of recycled agg...
AbstractThis paper presents applying gene expression programming (GEP) approach for predicting the p...