5Gonzalez G D. Soft sensors for processing plants[J]. Pro ceeding of the Second International Conference on Intelli gent Processing and Manufacturing of Materials. 1999, 1 : 59-69. 被引量：1
6Miiller K R, Mika S, R-itseh G,et al. An introduction to kernel based learning algorithms [J]. IEEE Transactions on Neural Networks,2001,12(2) :181 202. 被引量：1
7Word S, SjSstr3m M, Eriksson L. PLregression: a basic tool of chemometrics[J]. Chemometrics and InteLligent Laboratory Systems,2001,58(2) : 109-130. 被引量：1
8Rosipal R,Trejo L J. Kernel partial least squares regres- sion in reproducing kernel hilbert space[J]. Journal of Ma- chine Learning Research,2001,2(6) 97 123. 被引量：1
9Kim K,I.ee J M,Lee I B. A novel multivariate regres sion approach based on kernel partial least squares with or thogonal signal eorreetion[J]. Chemometrics and In- telligent I.aboratory Systems, 2005,79 ( J -2 ) : 22-30. 被引量：1
10Jia R D,Mao Z Z,Chang Y Q,et at. Kernel partial robust mregression as a flexible robust nonlinear modeling tech nique[J]. Chemometrics and Intelligent Laboratory Sys- tems,2010,100(2) =91-98. 被引量：1
