提出了一个新的支持向量机模型——基于边界调节的支持向量机，并利用拉格朗日定理得到了这种支持向量机的对偶目标函数。
In order for an SVM to be more robust to noise, a new SVM model i. e., the support vector machine based on adjustive boundary SVMAB is proposed.
运用求解线性规划对偶单纯形算法原理，进一步研究迭代过程中目标函数的变化。
Based on the principle of the dual simplex method about linear programming, the changes of the value of the objective function in iterations have been studied.
研究半局部凸函数在多目标半无限规划下的对偶性。
The duality conditions for multiobjective semi-infinite programming with semilocally convex functions are given.
应用推荐