Seismic parameters' combinations for the optimum prediction of the damage state of R/C buildings using neural networks.
Konstantinos MorfidisKonstantinos KostinakisPublished in: Adv. Eng. Softw. (2017)
Keyphrases
- neural network
- radial basis function network
- prediction model
- prediction accuracy
- pattern recognition
- state variables
- urban environments
- linear regression model
- control parameters
- neural network ensemble
- state space
- artificial neural networks
- neural networks and support vector machines
- root mean square error
- data sets
- optimal parameters
- artificial neural networks to predict
- training process
- aerial images
- parameter settings
- parameter values
- multilayer perceptron
- sensitivity analysis
- parameter estimation
- signal processing