胡光华, 徐汝争. 最小二乘双胞支持向量回归机的研究[J]. 云南大学学报(自然科学版), 2011, 33(6): 621-626.
引用本文: 胡光华, 徐汝争. 最小二乘双胞支持向量回归机的研究[J]. 云南大学学报(自然科学版), 2011, 33(6): 621-626.
HU Guang-hua, XU Ru-zheng. Least squares twin support vector machines for regression[J]. Journal of Yunnan University: Natural Sciences Edition, 2011, 33(6): 621-626.
Citation: HU Guang-hua, XU Ru-zheng. Least squares twin support vector machines for regression[J]. Journal of Yunnan University: Natural Sciences Edition, 2011, 33(6): 621-626.

最小二乘双胞支持向量回归机的研究

Least squares twin support vector machines for regression

  • 摘要: 利用最小二乘方法和临近支持向量机(PSVM)算法,并结合双胞支持向量机(TSVR),提出了最小二乘双胞支持向量回归机(LSTSVR).作为对照,TSVR需要求解2个二次规划问题,而LSTSVR仅需求解2个线性方程组.最后利用不同的实例验证了所提算法的可行性和有效性.

     

    Abstract: Using least squares methods and PSVM,combining with twin support vector machine(TSVR),the least squares twin SVR for regression(LSTSVR)is proposed.For comparison,the LSTSVR is only need to solve two linear equations instead of two quadratic programming problems in TSVR.Finally,the simulated experiments confirm the validity and the efficiency of LSTSVR.

     

/

返回文章
返回