Pages that link to "Item:Q1904919"
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The following pages link to A neural network approach for damage detection and identification of structures (Q1904919):
Displaying 14 items.
- A hybrid data-fusion system using modal data and probabilistic neural network for damage detection (Q634267) (← links)
- Genetic fuzzy system for damage detection in beams and helicopter rotor blades. (Q1415761) (← links)
- Detection of cracks using neural networks and computational mechanics (Q1600794) (← links)
- Neural crack identification in steady state elastodynamics (Q1818455) (← links)
- A 2D Hopfield neural network approach to mechanical beam damage detection (Q2014065) (← links)
- A novel machine-learning based on the global search techniques using vectorized data for damage detection in structures (Q2212992) (← links)
- Inverse damage prediction in structures using nonlinear dynamic perturbation theory (Q2502004) (← links)
- Multilayer perceptron in damage detection of bridge structures (Q3129553) (← links)
- L’application des réseaux neuronaux artificiels pour l’identification et la détection de l’endommagement dans les ponts (Q4213162) (← links)
- FEA-AI and AI-AI: Two-Way Deepnets for Real-Time Computations for Both Forward and Inverse Mechanics Problems (Q5193350) (← links)
- Structural damage detection by integrating independent component analysis and support vector machine (Q5426633) (← links)
- Advances in Neural Networks – ISNN 2005 (Q5707622) (← links)
- Total solution for structural mechanics problems. (Q5958071) (← links)
- Prediction of global damage index of reinforced concrete building using artificial neural network (Q6572515) (← links)
