The following pages link to (Q5193894):
Displaying 12 items.
- Robust parameter design optimization using Kriging, RBF and RBFNN with gradient-based and evolutionary optimization techniques (Q273312) (← links)
- A new Bayesian approach to multi-response surface optimization integrating loss function with posterior probability (Q320913) (← links)
- Concurrent treatment of parametric uncertainty and metamodeling uncertainty in robust design (Q381914) (← links)
- A new loss function for multi-response optimization with model parameter uncertainty and implementation errors (Q1751673) (← links)
- A robust desirability function method for multi-response surface optimization considering model uncertainty (Q1926843) (← links)
- Robust parameter design and optimization for quality engineering (Q2120119) (← links)
- Lexicographical dynamic goal programming approach to a robust design optimization within the pharmaceutical environment (Q2355884) (← links)
- Robust parameter design for nonlinear signal–response systems using kriging models (Q5059410) (← links)
- (Q5129631) (← links)
- Integrated parameter and tolerance design based on a multivariate Gaussian process model (Q6094371) (← links)
- Graphical evaluation of prediction capability when the number of noise variable increases in robust parameter design (Q6164728) (← links)
- Mixture design model with uncertain response and its application (Q6172588) (← links)
