An improved least square-support vector machine(LS-SVM)regression method is proposed to overcome the drawback that all the original learning samples are in the LS-SVM model.

• 摘要针对所有样本点均出现在最小二乘支持向量机模型中的缺陷，提出一种改进的最小二乘支持向量机回归方法。