聊城大学学报（自然科学版）2016，Vol.29Issue(3)：8-13,37,7.
求解单输出非线性LS-SVR的两种算法的比较研究
Comparative Studies of Two Algorithmsfor Solving Single-output Nonlinear LS-SVR
摘要
Abstract
For solving single‐output nonlinear least squares support vector regression machine(NLS‐SVR) modeling ,scholars presented two methods ,classical algorithm(C‐NLS‐SVR) and fast algorithm (F‐NLS‐SVR) .In order to examine their advantages and disadvantages ,this paper provides detailed theoretical comparison and performs a series of comparative experiments on 10 datasets taken from UCI database and 4 evaluating indicators .Experiment results indicates that the running time speeded upby F‐NLS‐SVR is not much ,but the loss of the fitting accuracy is relatively large .关键词
最小二乘支持向量回归机/经典算法/快速算法/算法比较/核函数Key words
least squares support vector regression machine/classical algorithm/fast algorithm/al-gorithm comparison/kernel function分类
数理科学引用本文复制引用
侯敏,赵春晖..求解单输出非线性LS-SVR的两种算法的比较研究[J].聊城大学学报（自然科学版）,2016,29(3):8-13,37,7.基金项目
国家自然科学基金项目（11501278）；山东省自然科学基金项目（ZR2013AQ011）资助 （）
