Kriging-based Surrogate Data-enriching Artificial Neural Network Prediction Of Strength And Permeability Of Permeable Cement-stabilized Base

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A kriging-based surrogate data-enriching artificial neural network (KS-ANN) model is developed to predict the properties of PCBMs with a small amount of data. This approach has the potential to decrease testing expenses and provide useful theoretical insights for engineering applications.

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Kriging-based Surrogate Data-enriching Artificial Neural Network Prediction Of Strength And Permeability Of Permeable Cement-stabilized Base

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Kriging-based Surrogate Data-enriching Artificial Neural Network Prediction Of Strength And Permeability Of Permeable Cement-stabilized Base

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