Pages that link to "Item:Q1639595"
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The following pages link to Background information of deep learning for structural engineering (Q1639595):
Displaying 7 items.
- A novel analysis-prediction approach for geometrically nonlinear problems using group method of data handling (Q1988156) (← links)
- A robust unsupervised neural network framework for geometrically nonlinear analysis of inelastic truss structures (Q2109538) (← links)
- Müntz-Legendre neural network construction for solving delay optimal control problems of fractional order with equality and inequality constraints (Q2153697) (← links)
- Machine learning-combined topology optimization for functionary graded composite structure design (Q2246382) (← links)
- A deep learning approach for efficiently and accurately evaluating the flow field of supercritical airfoils (Q2289636) (← links)
- Deep learned one‐iteration nonlinear solver for solid mechanics (Q6092212) (← links)
- Optimization Design of Laminated Functionally Carbon Nanotube-Reinforced Composite Plates Using Deep Neural Networks and Differential Evolution (Q6173094) (← links)
