首页|Investigators at University of Guilan Report Findings in Artificial Neural Networks (Investigating the Effect of Fundamental Properties of Materials On the Mechanisms of Thermal Cracking of Asphalt Mixtures)
Investigators at University of Guilan Report Findings in Artificial Neural Networks (Investigating the Effect of Fundamental Properties of Materials On the Mechanisms of Thermal Cracking of Asphalt Mixtures)
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By a News Reporter-Staff News Editor at Network Daily News - Data detailedon Artificial Neural Networks have been presented. According to news reporting out of Rasht, Iran, byNewsRx editors, research stated, “In most of tests and models to evaluate the thermal cracking of asphaltmixture, the consideration of different elements within the asphalt mixture has been neglected to providea corrective solution. Accordingly, in this research, the evaluation of the mechanisms of thermal crackinginvolved assessing the impact of surface free energy (SFE) parameters and other fundamental propertiesof bitumen and aggregate.”
RashtIranArtificial Neural NetworksEmerging TechnologiesMachine LearningNetworksNeural NetworksUniversity of Guilan
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