Artificial intelligence approach to predict the dynamic modulus of asphalt concrete mixtures
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This paper develops an Artificial Neural Network (ANN) model based on 96 experimental data to forecast the dynamic modulus of asphalt concrete mixtures. The accuracy of the models was assessed using numerous performance indexes such as the Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and coefficient of determination (R2).
Nội dung trích xuất từ tài liệu:
Artificial intelligence approach to predict the dynamic modulus of asphalt concrete mixtures
Nội dung trích xuất từ tài liệu:
Artificial intelligence approach to predict the dynamic modulus of asphalt concrete mixtures
Tìm kiếm theo từ khóa liên quan:
Artificial neural network Artificial intelligence Machine learning Dynamic modulus Asphalt concrete mixturesGợi ý tài liệu liên quan:
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