5RAKOTOMAMONJY A. Analysis of SVM Regression Bounds for Variable Ranking [ J ].Neurocomputing, 2007, 70(7) :1 489-1 501.
6JIAO L, BO L, WANG L. Fast Sparse Approximation for Least Squares Support Vector Machine [J].IEEE Trans- actions on Neural Network, 2007,18 ( 3 ) : 1 - 13.
7AN S, LIU W, VENKATESH S. Fast Cross-validation Al- gorithms for Least Squares Support Vector Machine and Kernel Ridge Regression [ J ].Pattern Recognition, 2007, 40(8) :2 154-2 162.
8WEN W, HAO Z, YANG X. A Heuristic Weight-setting Strategy and Iteratively Updating Algorithm for Weighted Least-squares Support Vector Regression [ J ]. Neurocom- puting,2008,71(16) :3 096-3 103.
9ZHAO Y, SUN J. Recursive Reduced l,east Squares Support Vector Regression [ J]. Pattern Recognition, 2009,42 ( 5 ) : 837- 842.
10WU C H,TZENG G H,LIN R H.A Novel and Parameter Optimization in Hybrid Genetic Algorithm for Kernel Function Vector Regression [J]. Expert System with Applications,2009,36(3) :4 725-4 735.
