A hybrid variable-fidelity global approximation modelling method combining tuned radial basis function base and kriging correction

By Zheng Jun   Shao Xinyu   Gao Liang   Jiang Ping   Li Zilong  

Journal of Engineering Design, Vol. 24, Iss. 8, 2013-08 ,pp. : 604-622

Taylor & Francis Ltd

Access to resources Recommend Favorite

Study on Prediction of Chaotic Time Series Using Least Squares Support Vector Machines

By  

Advanced Materials Research, Vol. 2014, Iss. 1061, 2015-01 ,pp. : 935-938

Trans Tech Publications

Access to resources Recommend Favorite

Estimate of error bounds in the improved support vector regression*

By Sun Yanfeng   Liang Yanchun   Wu Chunguo   Yang Xiaowei   Lee Heow Pueh   Lin Wu Zhong  

Progress in Natural Science, Vol. 14, Iss. 4, 2004-04 ,pp. : 362-364

Taylor & Francis Ltd

Access to resources Recommend Favorite

Improving variable-fidelity modelling by exploring global design space and radial basis function networks for aerofoil design

By Tyan Maxim   Nguyen Nhu Van   Lee Jae-Woo  

Engineering Optimization, Vol. 47, Iss. 7, 2015-07 ,pp. : 885-908

Taylor & Francis Ltd

Access to resources Recommend Favorite

Comment on “A new probability index for estimating Weibull modulus for ceramics with the least-square method”

By Wu D.  

Journal of Materials Science Letters, Vol. 22, Iss. 24, 2003-12 ,pp. : 1745-1746

Springer Publishing Company

Access to resources Recommend Favorite