Pages that link to "Item:Q2686894"
From MaRDI portal
The following pages link to A strategy to train machine learning material models for finite element simulations on data acquirable from physical experiments (Q2686894):
Displaying 3 items.
- Taguchi-based design of experiments in training POD-RBF surrogate model for inverse material modelling using nanoindentation (Q2974015) (← links)
- A general framework of high-performance machine learning algorithms: application in structural mechanics (Q6540749) (← links)
- A novel global prediction framework for multi-response models in reliability engineering using adaptive sampling and active subspace methods (Q6663323) (← links)
