Generalized least squares support-vector-machine algorithm and its application
一种广义最小二乘支持向量机算法及其应用

Least Squares Support-Vector-Machines (LS-SVM) algorithm is an efficient project about pattern classification on unclassifiable sample set condition. While dealing with many factual pattern classification problems, this algorithm reflects certain limitation. A generalized LS-SVM algorithm was introduced to further improve the applicability of LS-SVM. This new method was applied to radar range profile's recognition. The experimental results show that this new method can achieve better recognition effect.