【摘要】 提出了基于最小二乘支撑向量机 (LS SVMs)的药品成分浓度分析方法。分析讨论了LS SVMs中参数的选择对其性能所起的重要作用。通过算例验证了LS SVMs回归分析比多元线性回归(MLR)有着更好的泛化能力 ,回归精度得到了明显的提高。本文的结果说明使用LS -SVMs进行药品浓度分析是一种有效的方法更多还原

【Abstract】 a method of medicine composition concentration analysis is presented.Based on least square support vector machines (LS-SVMs).The importance of the choice of the hyperparameters to the performance is also examined.The results show that the proposed method can obtain high quality precision compared with multiple linear regression in the generalization and is an efficient approach to regression estimates.更多还原