To improve the performance of support vector machines(SVM),a hybrid kernel is constructed from the existing common kernels,and the hyper-parameters are optimized by using a quasi-Newton method.
为了提高支持向量机(SVM)的识别性能,提出了在常用内核的基础上构造一个组合内核函数,然后用拟牛顿算法对其超参数进行优化的方法。
参考来源 - 组合内核与优化算法在羽绒识别系统中的应用·2,447,543篇论文数据，部分数据来源于NoteExpress
拟牛顿算法的缺点是所需存储量较大，对于大型问题，可能遇到存储方面的困难。
The disadvantages of quasi-Newton algorithm is the great memory, so for large problems, memory difficulties may be encountered.
应用拟牛顿算法求解非线性规划问题的增广拉格朗日函数，并给出了相应的拟牛顿公式。
The quasi-Newton method was applied to solving the augmented Lagrangian function of nonlinear programming problems. Further, the quasi-Newton formula was given.
为了提高支持向量机(SVM)的识别性能，提出了在常用内核的基础上构造一个组合内核函数，然后用拟牛顿算法对其超参数进行优化的方法。
To improve the performance of support vector machines (SVM), a hybrid kernel is constructed from the existing common kernels, and the hyper-parameters are optimized by using a quasi-Newton method.
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