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Application of Least Squares Support Vector Machine for Regression to Reliability Analysis 被引量:18

最小二乘支持向量回归机在可靠性分析中的应用(英文)
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摘要 In order to deal with the issue of huge computational cost very well in direct numerical simulation, the traditional response surface method (RSM) as a classical regression algorithm is used to approximate a functional relationship between the state variable and basic variables in reliability design. The algorithm has treated successfully some problems of implicit performance function in reliability analysis. However, its theoretical basis of empirical risk minimization narrows its range of applications for... In order to deal with the issue of huge computational cost very well in direct numerical simulation, the traditional response surface method (RSM) as a classical regression algorithm is used to approximate a functional relationship between the state variable and basic variables in reliability design. The algorithm has treated successfully some problems of implicit performance function in reliability analysis. However, its theoretical basis of empirical risk minimization narrows its range of applications for...
出处 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2009年第2期160-166,共7页 中国航空学报(英文版)
基金 National High-tech Research and Development Pro-gram (2006AA04Z405)
关键词 mechanism design of spacecraft support vector machine for regression least squares support vector machine for regression Monte Carlo method RELIABILITY implicit performance function mechanism design of spacecraft support vector machine for regression least squares support vector machine for regression Monte Carlo method reliability implicit performance function
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