Influence of input parameters on the performance of an artificial neural network used to detect structural damage

Engineering

• Structural Damage 100%
• Input Parameter 100%
• Artificial Neural Network 100%
• Damage Scenario 50%
• Strain Energy 33%
• Mode Shape 16%
• Damage Detection 16%
• Multiple Random 16%
• Regularization 16%
• Resonant Frequency 16%

INIS

• performance 100%
• neural networks 100%
• damage 100%
• tools 28%
• energy 28%
• strains 28%
• detection 14%
• randomness 14%
• shape 14%
• flexibility 14%

Keyphrases

• Energy Damage 33%
• Damage Extension 33%
• Back-propagation ANN 33%
• Specific Tools 33%
• Bayesian Regularization 33%
• Artificial Neural Network (ANN) Model 33%