Pages that link to "Item:Q2234140"
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The following pages link to Machine learning regression approaches for predicting the ultimate buckling load of variable-stiffness composite cylinders (Q2234140):
Displaying 5 items.
- Predicting elemental stiffness matrix of FG nanoplates using Gaussian process regression based surrogate model in framework of layerwise model (Q2085990) (← links)
- Computational deep learning algorithm (vision/frequency response)-based damage detection in engineering structure (Q6058597) (← links)
- Locally assembled stiffness matrix: a novel method to obtain global stiffness matrix (Q6098676) (← links)
- Machine learning and neural networks based approach for deflection prediction of Euler-Bernoulli beam equations (Q6116553) (← links)
- Multi-stage parameter adjustment to enhance metaheuristics for optimal design (Q6639884) (← links)
