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Sequential radial basis function using support vector machine for expensive design optimization
Renhe Shi
,
Li Liu
,
Teng Long
*
, Jian Liu
*
此作品的通讯作者
宇航学院
Ministry of Education in China
Beijing Institute of Technology
科研成果
:
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同行评审
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引用 (Scopus)
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探究 'Sequential radial basis function using support vector machine for expensive design optimization' 的科研主题。它们共同构成独一无二的指纹。
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Engineering
Benchmark Problem
16%
Demonstrates
16%
Design Method
16%
Design Optimization
100%
Design Space
16%
Earth Observation
16%
Engineering
50%
Feature Space
33%
Function Evaluation
16%
Genetic Algorithm
16%
Illustrates
16%
Multidisciplinary Design Optimization
16%
Obtains
16%
Optimisation Problem
66%
Optimization Method
50%
Radial Basis Function
100%
Support Vector Machine
100%
Computer Science
Benchmark Problem
16%
Clustering Method
33%
Comparison Result
16%
Constrained Optimization
16%
Design Optimization
100%
Feature Space
33%
Function Evaluation
16%
fuzzy c mean
33%
Genetic Algorithm
16%
Global Optimization
33%
Multidisciplinary Design Optimization
16%
Optimization Problem
66%
Radial Basis Function
100%
Sequential Quadratic Programming
16%
Support Vector Machine
100%
Chemical Engineering
Constrained Optimization
20%
Support Vector Machine
100%