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What is Asphalt Mixture Strength Prediction Models about?

This study presents a strength prediction model for asphalt mixtures using back-propagation neural networks (BPNN) and support vector machines (SVM) to address the complexities of asphalt strength under varying conditions. The findings indicate that SVM outperforms BPNN in prediction accuracy, with a coefficient of determination of 0.9983 compared to 0.9979 for BPNN. The research contributes to the digitalization of pavement structures by providing a method to accurately predict asphalt mixture strength inf

Author

Arslan Khan

Language

EN