Support vector machine （SVM） was introduced to analyze the reliability of the implicit performance function, which is difficult to implement by the classical methods such as the first order reliability method （FORM...Support vector machine （SVM） was introduced to analyze the reliability of the implicit performance function, which is difficult to implement by the classical methods such as the first order reliability method （FORM） and the Monte Carlo simulation （MCS）. As a classification method where the underlying structural risk minimization inference rule is employed, SVM possesses excellent learning capacity with a small amount of information and good capability of generalization over the complete data. Hence, two approaches, i.e., SVM-based FORM and SVM-based MCS, were presented for the structural reliability analysis of the implicit limit state function. Compared to the conventional response surface method （RSM） and the artificial neural network （ANN）, which are widely used to replace the implicit state function for alleviating the computation cost, the more important advantages of SVM are that it can approximate the implicit function with higher precision and better generalization under the small amount of information and avoid the ＂curse of dimensionality＂. The SVM-based reliability approaches can approximate the actual performance function over the complete sampling data with the decreased number of the implicit performance function analysis （usually finite element analysis）, and the computational precision can satisfy the engineering requirement, which are demonstrated by illustrations.展开更多
Based on the verbal theory of personality and the implicit personality theory,in order to study the structures and features on implicit verbal theory of undergraduates,economic self-supporting,127 undergraduates were ...Based on the verbal theory of personality and the implicit personality theory,in order to study the structures and features on implicit verbal theory of undergraduates,economic self-supporting,127 undergraduates were pretested,and 414 undergraduates were tested by formal verbal questionnaires.The results show that(1)the former 10 adjectives which are of the most importance of self-supporting that undergraduates’ thought are all positive,self-belief,and full of willpower;and the former 10 adjectives,according to the conformity,are affiliated with ethic and aims;(2) undergraduates’ economic self-supporting structures consist of 5 factors,i.e.achievement-activity,sociability,independence,individualism,thrift;(3)there are not significant differences in main effect and interactive effect between sex and grades,sex and self-judged family’s economic condition,or grades and self-judged family’s economic condition.展开更多
基金Project supported by the National Natural Science Foundation of China (No.10572117)the National Astronautics Science Foundation of China (Nos.N3CH0502 and N5CH0001)Program for New Century Excellent Talent of Ministry of Education of China (No.NCET-05-0868)
文摘Support vector machine （SVM） was introduced to analyze the reliability of the implicit performance function, which is difficult to implement by the classical methods such as the first order reliability method （FORM） and the Monte Carlo simulation （MCS）. As a classification method where the underlying structural risk minimization inference rule is employed, SVM possesses excellent learning capacity with a small amount of information and good capability of generalization over the complete data. Hence, two approaches, i.e., SVM-based FORM and SVM-based MCS, were presented for the structural reliability analysis of the implicit limit state function. Compared to the conventional response surface method （RSM） and the artificial neural network （ANN）, which are widely used to replace the implicit state function for alleviating the computation cost, the more important advantages of SVM are that it can approximate the implicit function with higher precision and better generalization under the small amount of information and avoid the ＂curse of dimensionality＂. The SVM-based reliability approaches can approximate the actual performance function over the complete sampling data with the decreased number of the implicit performance function analysis （usually finite element analysis）, and the computational precision can satisfy the engineering requirement, which are demonstrated by illustrations.
文摘Based on the verbal theory of personality and the implicit personality theory,in order to study the structures and features on implicit verbal theory of undergraduates,economic self-supporting,127 undergraduates were pretested,and 414 undergraduates were tested by formal verbal questionnaires.The results show that(1)the former 10 adjectives which are of the most importance of self-supporting that undergraduates’ thought are all positive,self-belief,and full of willpower;and the former 10 adjectives,according to the conformity,are affiliated with ethic and aims;(2) undergraduates’ economic self-supporting structures consist of 5 factors,i.e.achievement-activity,sociability,independence,individualism,thrift;(3)there are not significant differences in main effect and interactive effect between sex and grades,sex and self-judged family’s economic condition,or grades and self-judged family’s economic condition.
