Pages that link to "Item:Q2236161"
From MaRDI portal
The following pages link to Data-driven inverse modelling through neural network (deep learning) and computational heat transfer (Q2236161):
Displaying 12 items.
- Applying neural networks to the solution of forward and inverse heat conduction problems (Q865761) (← links)
- Solution of inverse heat conduction problems using Kalman filter-enhanced Bayesian back propagation neural network data fusion (Q882365) (← links)
- Self-learning finite elements for inverse estimation of thermal constitutive models (Q981413) (← links)
- Determining the defect locations and sizes in elastic plates by using the artificial neural network and boundary element method (Q2128041) (← links)
- Data-driven discovery of governing equations for transient heat transfer analysis (Q2147572) (← links)
- A multiscale, data-driven approach to identifying thermo-mechanically coupled laws -- bottom-up with artificial neural networks (Q2150265) (← links)
- Finite element coupled positive definite deep neural networks mechanics system for constitutive modeling of composites (Q2670357) (← links)
- Prediction of turbulent heat transfer using convolutional neural networks (Q4972211) (← links)
- Estimation of Boundary Conditions in Conduction Heat Transfer by Neural Networks (Q5390704) (← links)
- Neural network based models in the inversion of temperature vertical profiles from radiation data (Q5481769) (← links)
- Predicting subdifferential switching surface in a steady-state complex heat transfer problem using deep learning (Q5883655) (← links)
- Deep learning for thermal plasma simulation: solving 1-D arc model as an example (Q6097959) (← links)
