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LIRR "R&D and Industrialization of High PerformanceFunctional Refractories for Metallurgy New Technology" Project Gained Fund Support
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《China's Refractories》 CAS 2012年第1期35-35,共1页
Checked by Henan Province Development and Relbrm Commission and Henan Province MunicipalFinance ()ffice, the “R & I) and Industrialization of High Performance Functional Refractories for Metallurgy New Technology... Checked by Henan Province Development and Relbrm Commission and Henan Province MunicipalFinance ()ffice, the “R & I) and Industrialization of High Performance Functional Refractories for Metallurgy New Technology” project declared by 1,1RR gained a special fund support on self-renovation and products structure adjustment. The project will realize the technology integration and industriali-zation of key refractories including purging component, metering nozzle and toil and belt continuous casting nozzle, etc. through building high performance functional refractories production lines for metallurgy new technology. 展开更多
关键词 Project Gained Fund Support LIRR R&D and Industrialization of High performancefunctional Refractories for Metallurgy New Technology
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Classification using least squares support vector machine for reliability analysis
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作者 郭秩维 白广忱 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI 2009年第7期853-864,共12页
In order to improve the efficiency of the support vector machine (SVM) for classification to deal with a large amount of samples, the least squares support vector machine (LSSVM) for classification methods is intr... In order to improve the efficiency of the support vector machine (SVM) for classification to deal with a large amount of samples, the least squares support vector machine (LSSVM) for classification methods is introduced into the reliability analysis. To reduce the coraputational cost, the solution of the SVM is transformed from a quadratic programming to a group of linear equations. The numerical results indicate that the reliability method based on the LSSVM for classification has higher accuracy and requires less computational cost than the SVM method. 展开更多
关键词 least squares support vector machine CLASSIFICATION RELIABILITY performancefunction
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