Pages that link to "Item:Q3623126"
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The following pages link to A new neural network-based model for hysteretic behavior of materials (Q3623126):
Displaying 14 items.
- Accurate cyclic plastic analysis using a neural network material model (Q597632) (← links)
- A DNN-based data-driven modeling employing coarse sample data for real-time flexible multibody dynamics simulations (Q2020773) (← links)
- Material behavior modeling with multi-output support vector regression (Q2282402) (← links)
- A data-driven computational homogenization method based on neural networks for the nonlinear anisotropic electrical response of graphene/polymer nanocomposites (Q2319390) (← links)
- Self-learning simulation method for inverse nonlinear modeling of cyclic behavior of connections (Q2638009) (← links)
- (Q3403310) (← links)
- Modeling of materials with fading memory using neural networks (Q3549786) (← links)
- Multiscale aggregating discontinuities: A method for circumventing loss of material stability (Q3590323) (← links)
- Vector hysteresis model based on neural network (Q4450426) (← links)
- Neural network model of magnetic hysteresis (Q4542824) (← links)
- Physically enhanced training for modeling rate-independent plasticity with feedforward neural networks (Q6084775) (← links)
- Neural integration for constitutive equations using small data (Q6153835) (← links)
- A framework for neural network based constitutive modelling of inelastic materials (Q6194141) (← links)
- Deep convolutional neural networks for eigenvalue problems in mechanics (Q6555379) (← links)
