Global sensitivity analysis for computationally expensive models based on radial basis function interpolationand optimization.
Christine A. ShoemakerYilun WangPublished in: IEEM (2015)
Keyphrases
- sensitivity analysis
- computationally expensive
- radial basis function
- rbf neural network
- influence diagrams
- managerial insights
- rbf network
- computationally efficient
- rbfnn
- artificial neural networks
- neural network
- basis functions
- support vector
- decision variables
- variational inequalities
- model selection
- small number
- optimization problems
- expert systems
- multilayer perceptron
- learning algorithm
- machine learning