particular neural network is often applied to the development of statistical models for intrinsically non-linear systems, since neural networks behave better in complex conditions. In this research, applications of neural networks in determination of optimum bitumen content, Marshall Stability and Marshall Quotient of asphaltic concrete mixtures were investigated. To determine the properties of asphaltic concrete mixtures using neural networks, samples were collected from different regions in Mecca area during construction and tested at laboratories of Umm Al-Qura University fo
The oscillation of asphalt mix composition on a daily basis significantly affects the achieved prope...
Prominence of concrete is characterized by its high mechanical properties and durability, combined w...
Selection of aggregate gradation and binder content for asphalt mix design, which comply with specif...
particular neural network is often applied to the development of statistical models for intrinsicall...
The objective of this study is to explore the applicability of artificial neural networks (ANNs) and...
Abstract. The Marshall Stability of asphalt concrete is one of the most important parameters in mix ...
The paper deals with the numerical prediction of the mechanical response of asphalt concretes for ro...
This paper presents the optimization of concrete mixtures composition related to a physical property...
5siIn general terms, an artificial neural network is a distributed processor that consists of elemen...
The current paper deals with the numerical prediction of the mechanical response of Asphalt Concrete...
The performance of the asphalt mix is significantly influenced by the optimum asphalt content (OAC)....
ABSTRACT Soft computing tools neural network and fuzzy logic can be used for the problems, where no ...
Artificial Neural Networks represent useful tools for several engineering issues. Although they were...
438-448This study intends to investigate temperature sensitivity of emulsified asphalt mixtures (co...
The testing procedure in order to determine the precise mechanical testing results in Marshall desig...
The oscillation of asphalt mix composition on a daily basis significantly affects the achieved prope...
Prominence of concrete is characterized by its high mechanical properties and durability, combined w...
Selection of aggregate gradation and binder content for asphalt mix design, which comply with specif...
particular neural network is often applied to the development of statistical models for intrinsicall...
The objective of this study is to explore the applicability of artificial neural networks (ANNs) and...
Abstract. The Marshall Stability of asphalt concrete is one of the most important parameters in mix ...
The paper deals with the numerical prediction of the mechanical response of asphalt concretes for ro...
This paper presents the optimization of concrete mixtures composition related to a physical property...
5siIn general terms, an artificial neural network is a distributed processor that consists of elemen...
The current paper deals with the numerical prediction of the mechanical response of Asphalt Concrete...
The performance of the asphalt mix is significantly influenced by the optimum asphalt content (OAC)....
ABSTRACT Soft computing tools neural network and fuzzy logic can be used for the problems, where no ...
Artificial Neural Networks represent useful tools for several engineering issues. Although they were...
438-448This study intends to investigate temperature sensitivity of emulsified asphalt mixtures (co...
The testing procedure in order to determine the precise mechanical testing results in Marshall desig...
The oscillation of asphalt mix composition on a daily basis significantly affects the achieved prope...
Prominence of concrete is characterized by its high mechanical properties and durability, combined w...
Selection of aggregate gradation and binder content for asphalt mix design, which comply with specif...