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- hyperosculating hyperplane 超密切超平面
- And then testing samples are diagnosed according to the hyperplane. 然后根据最优分类平面，对测试集的样本进行故障诊断。
- Finally，a new separation hyperplane is generated by the optimization training. 最后，通过优化训练，产生一个新的分离超平面。
- The hyperplane revises the error of the standard Support Vector Machines. 该分类面校正了标准的支持向量机的分类误差。
- The invention of hyperplane kinescopes is another technical innovation. 超平显像管的发明是又一次技术革新。
- Finally, a new separation hyperplane was generated through the optimization training. 最后通过优化训练产生一个新的分离超平面。
- The separating hyperplane of traditional support vector machines is sensitive to noises and outliers. 摘要传统的支持向量机分类超平面对噪声和野值非常敏感。
- A balance method for the offset of separation hyperplane of biclassification imbalanced data is proposed. 摘要 针对两类不平衡数据的分离超平面的偏移问题提出一种平衡方法。
- The reducibility of affine hyperplane arrangements is discussed by using the matrix method. 用矩阵方法讨论仿射超平面构形的可约性。
- A linear equation in n variables represents a "hyperplane" in an n dimensional space. 应用数学与计算方法的相关知识在计算科学中佔有绝对的重要性。
- Then the method to construct the optimal separating hyperplane and some basic concept are described simply. 然后，简单介绍了SVM的构造过程及其一些基本概念。
- Taking the triangle prism as the same reference,the paper fits the four planes by the method of hyperplane fit. 鉴定受害人身份是刑事侦察的第1步,也是至关重要的一步。
- A lot of face samples and "not face" samples are used to train the SVM classifier, to get optimal separating hyperplane in the training. 训练过程是用大量人脸样本、“非人脸”样本训练SVM分类器，使之获得一个最优分类超平面。
- When traditional support vector machines separate data containing noises, the obtained hyperplane is not an optimal one. 使用传统的支持向量机对含有噪声的数据分类时，所得到的超平面往往不是最优超平面。
- The decision fuction of SVM is determined by a subset of the training patterns, support vectors, which lies closer to the classification hyperplane. SVM的决策函数由邻近分类超平面的部分训练样本-支持向量决定。
- The state variables are proved to be able to hit the switching hyperplane and its requirement is discussed based on Lyapunov stability criterion. 基于Lyapunov理论证 明了所设计的控制器是滑模可达的，并给出了滑模可达条件。
- In this paper, we develop a DEA model based on accepted cases set and propose a classification method with piece wise linear separating hyperplane as its boundary. 引入数据包络分析方法,提出了一种基于贷款可接受案例集的dea型信用评估模型和分类边界为分段线性分离超平面的分类方法。
- Based on sliding mode control technique, the proposed controller can drive the systems’ states into a pre-specified sliding hyperplane to obtain the desired dynamic performance. 基于滑模控制技术，确保了该控制器能驱赶系统状态达到事先指定的滑动超平面，从而获得想要的动态性能。
- A support hyperplane method is presented to find the response set defined for a linear time invariant vibration system under the excitations modeled by some convex sets. 对激励由凸集合建模的线性振动系统提出了响应集的概念，将数学上的微分包含问题简化为求解多自由度振动系统的响应集问题。
- Aiming at the different loss by error judge in fault diagnosis, the fuzzy membership based on the loss function is defined and optimal hyperplane is modified. 针对故障诊断等问题中误判造成的损失不同这一特点,定义了基于损失函数的模糊隶属度,并得出了修正后的最优分类面。
