Pages that link to "Item:Q2495896"

The following pages link to Prediction of nonlinear viscoelastic behavior of polymeric composites using an artificial neural network (Q2495896):

Displaying 11 items.

• Nanocharacterization of creep behavior of multiwall carbon nanotubes/epoxy nanocomposite (Q414325) (← links)
• Evaluation of thermo-viscoelastic property of CFRP laminate based on a homogenization theory (Q610476) (← links)
• Explicit and implicit viscoplastic models for polymeric composite (Q1827637) (← links)
• Automated constitutive modeling of isotropic hyperelasticity based on artificial neural networks (Q2115570) (← links)
• A multiscale, data-driven approach to identifying thermo-mechanically coupled laws -- bottom-up with artificial neural networks (Q2150265) (← links)
• Modeling of the viscoelastic properties of thermoset vinyl ester nanocomposite using artificial neural network (Q2183782) (← links)
• Derivation of heterogeneous material laws via data-driven principal component expansions (Q2319393) (← links)
• Artificial neural network modeling of creep behavior in a rotating composite disc (Q3055828) (← links)
• A comparative study on different neural network architectures to model inelasticity (Q6082629) (← links)
• Transfer learning of recurrent neural network‐based plasticity models (Q6148497) (← links)
• Recurrent neural network plasticity models: unveiling their common core through multi-task learning (Q6550155) (← links)