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西北工业大学 国内
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Adaptive sparse polynomial chaos expansions for global sensitivity analysis based on support vector regression
Kai Cheng,
Zhenzhou Lu
航空学院
Northwestern Polytechnical University Xian
科研成果
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探究 'Adaptive sparse polynomial chaos expansions for global sensitivity analysis based on support vector regression' 的科研主题。它们共同构成独一无二的指纹。
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Computer Science
Adaptive Algorithm
66%
Basis Function
33%
Computational Cost
33%
Generalization Ability
33%
Kernel Function
66%
Least Squares Method
33%
Risk Minimization
33%
Selection Criterion
33%
Support Vector Regression
100%
Mathematics
Basis Function
20%
Complex Model
20%
Computational Cost
20%
Least Square
20%
Orthogonal Polynomial
20%
Polynomial
100%
Regression Model
20%
Square Regression
20%
Structural Risk Minimization
20%
Support Vector Machine
100%
Variance
20%
Wide Range
20%
Engineering
Selection Procedure
33%