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cs.CE2024
Test-time data augmentation: improving predictions of recurrent neural network models of composites
Petter Uvdal, Mohsen Mirkhalaf
Recurrent Neural Networks (RNNs) have emerged as an interesting alternative to conventional material modeling approaches, particularly for nonlinear path dependent materials. Remar…
cs.CE2024
A novel Taguchi-based approach for optimizing neural network architectures: application to elastic short fiber composites
Mohammad Hossein Nikzad, Mohammad Heidari-Rarani, Mohsen Mirkhalaf
This study presents an innovative application of the Taguchi design of experiment method to optimize the structure of an Artificial Neural Network (ANN) model for the prediction of…