查询词典 hypersphere

According to the above characteristics of shallow buried target discrimination, the hyperplane SVM, which has achieved the best classification results for many classification problems in different fields by now, has been modified to yield the FHS-SVM, which uses the hypersphere in the kernel space to separate shallow buried target and clutter.

根据浅埋目标鉴别的特点，对在许多领域的分类问题中取得迄今为止最好分类结果的超平面SVM进行了改进，得到利用核特征空间的超球面区分浅埋目标和杂波的FHS-SVM。

This a obtains method maximum separation ratio to separate two classes instances via a single hypersphere and also provides the facility to control the upper bounds of two classes error rates respectively with two parameters. As such, the performance of classification and prediction of imbalanced data sets can be improved, and the range of selection of parameters can be greatly narrowed.

该方法通过一个超球面将两类数据以最大分离比率分离，并且引入两个参数来分别控制两类错分率的上界，不仅提高了不平衡数据集的分类和预测的性能，而且大大缩小了参数的选择范围。

Using the simplified COG model of FNN and fuzzy rules expressed by vectors this paper gives a new FNN based on hypersphere clustering where fuzzy sets and their membership functions have been generalized from one-dimensional to n-dimensional.

采用简化的重心模型和向量形式的模糊规则，将隶属函数由一维推广到高维，并定义了高维隶属函数，提出了基于超球聚类的模糊神经网络。

Mainly in a method of the lattice vector quantifying coding and decoding, a new basic code book is selected out and directly or indirectly comprises all points whose value is less than or equal to 3 of any dimension in a RE point set, and points on a fourth grade hypersphere in the basic code book are all odd points so that part of nearest adjoint point values can be comprised in the basic code book only via corresponding odd number processing.

一种格矢量量化编解码的实现方法及装置，其主要是在格矢量量化编码方案中，选定新的基础码本，在该基础码本中直接或间接地包含了RE 8 点集中任意维的数值小于等于3的所有点，且该基础码本中的第4级超球面上的点全部为奇数点，以使得部分的最近邻点数值仅经过相应的奇数化处理便可以包含于基础码本中。

By considering the color randomicity of foreigns and the color difference between the regular materials and the foreigns in fast foreign real-time recognition,the specialities of an One-class Support Vertor Machine for foreign recognition are studied,and an approach to real-time recognition based on hypersphere OC-SVM is presented.

针对高速异物在线识别中正常物料与异物颜色差异及异物颜色随机性的特点，研究了一类支持向量机在异物识别中的特性，提出了一种基于一类超球面支持向量机的在线识别算法。

Modeling method of multidimensional hyper-ellipsoid has been perfected in bionic pattern recognition, equation and discriminant function of multidimensional hyper-ellipsoid is educed. Considering the complexity of realization, small chain of hypersphere instead of hyper-ellipsoid can greatly simplify algorithm.

完善了仿生模式识别过程中高维超椭球建模的方法，推导出了高维超椭球的方程和判别函数，考虑到其实现的复杂性，用小超球链来代替超椭球，大大简化了算法。

At first, with the low-frequency data measured, three of the LRE fault detection systems for the real-time condition are proposed using the nonlinear identification technology of the BP neural network, the state estimation technology of the dynamic neural network, and the pattern recognition technology of the fuzzy hypersphere neural network. The learning algorithms of the BP and dynamic neural network are researched at the same time. Furthermore, while the engine operation is divided into the start and steady-state processes, the real time ability, the response time, the accuracy, the robustness, the sensitivity and the monitoring parameter optimization are studied. In the test data analyses of the YF-75 engine, the detection system correctly carried out for all normal tests, and in the three abnormal tests the engine faults were accurately forecasted.

首先，基于低频测量数据，采用BP神经网络的非线性辨识技术、动态神经网络的状态估计技术及模糊超球神经网络的模式识别技术，提出了三种发动机故障实时检测系统；同时研究了BP神经网络和动态神经网络的学习算法；另外还把发动机工作分为启动过程和稳态过程，分别讨论了神经网络故障检测系统的实时性、及时性、准确性、鲁棒性、敏感性及参数优化问题；在YF-75发动机试车数据分析中，不仅全部正确地监测了正常试车过程，而且准确地预报了三次异常试车中的发动机故障。

Our work includes: 1 Different from general target recognition problems, L2 normalized samples are applied to HRRP-based RATR to deal with the amplitude-scale sensitivity problem, therefore, geometrically speaking, HRRP samples spread on a unit hypersphere.

考虑到用于识别的HRRP样本在2-范数强度归一化后都位于单位超球面上，针对于幂次变换后趋于Joint-Gaussian分布的HRRP数据，提出了一种改进的基于子空间近似的统计识别方法。

Progressive Transductive Support Vector Machines has some drawbacks such as slower training speed,and unstable learning performance,a Progressive Transductive Support Vector Machines learning algorithm based on hypersphere structure is proposed.

针对渐进直推式支持向量机（Progressive Transductive Support Vector Machines，PTSVM）算法训练速度慢，学习性能不稳定的问题，提出一种基于超球结构的渐进直推式支持向量机算法。

Experimental results indicate that the new method yields higher precision and speed than classical SVM multi-class classification methods. support vector machine ; multi-class classification ; semi-fuzzy kernel clustering ; hypersphere

处理该类问题时，由于分类数目多、训练样本规模大，在已经出现的SVM分类方法中，一次性求解方法因计算复杂度过高、精度较低而不实用。one-against-one(1v1)方法、Directed Acy

Breath, muscle contraction of the buttocks; arch body, as far as possible to hold his head, right leg straight towards the ceiling (peg-leg knee in order to avoid muscle tension).

呼气，收缩臀部肌肉；拱起身体，尽量抬起头来，右腿伸直朝向天花板（膝微屈，以避免肌肉紧张）。

The cost of moving grain food products was unchanged from May, but year over year are up 8%.

粮食产品的运输费用与5月份相比没有变化，但却比去年同期高8％。