Input uncertainty in stochastic simulations in the presence of dependent discrete input variables.
Alp AkcayBahar BillerPublished in: J. Simulation (2018)
Keyphrases
- input variables
- variable selection
- artificial neural networks
- stochastic nature
- neural network model
- fuzzy rules
- membership functions
- ls svm
- input vector
- multiple linear regression
- robust optimization
- hidden neurons
- fuzzy sets
- computer vision
- ann models
- back propagation
- cross validation
- fuzzy logic
- real world
- support vector
- feature selection
- learning algorithm