New sparse least squares support vector machine algorithm
一种新的最小二乘支持向量机稀疏化算法

The recognition rate of Least Squares Support Vector Machine (LS-SVM) sparse algorithm rapidly decreases with the reduction of training samples in dealing with some pattern recognition issues, and the sparsification can not be achieved. To overcome such a shortage, a new sparse algorithm was proposed. The method was applied to radar range profile's recognition and the experimental results show its validity in recognition.