Support Vector Regression (for short SVR) is an important branch of SVM, SVR has been applied to system identification, nonlinear system prediction and good results have been demonstrated.
支持向量函数回归(SVR)是SVM的一个重要分支，它已经成功地应用于系统识别、非线性系统的预测等方面，并取得了较好的效果。
Absrtact: SVM (support vector machine) algorithm is the newest branch of statistic learning theory.
摘要：支持向量机(SVM)算法是统计学习理论中最年轻的分支。
The admittance matrix Ytc of the branch set is defined, and it is assumed that the vector voltage of the branch set, Flc is a calculative quantity. So the equation …
定义了回路岔集导纳矩阵，假设回路岔集电压矢量作为中间计算量，导出了回路岔集方程，并提出了对电网络的回路岔集分析法。
Absrtact: Vector quantization (VQ) - based digital watermarking technique plays a newly developed branch in digital watermarking research fields recently.
摘要：基于矢量量化的数字水印是数字水印技术一个新的研究领域。
Absrtact: Vector quantization (VQ) - based digital watermarking technique plays a newly developed branch in digital watermarking research fields recently.
摘要：基于矢量量化的数字水印是数字水印技术一个新的研究领域。
应用推荐