强向量

Such characteristic vector can be applied to further signal processing and fault diagnosis of high current LIA.

应用小波变换具有良好的时频局部特性，通过对强流直线感应加速器脉冲信号的去噪声、信号突变点检测以及时间间隔测量等处理，表明小波变换在LIA信号处理中有广泛的应用前景；利用小波包分析的每个节点都代表了对应频带的信号特征的特点，对"神龙一号"快脉冲波形数据进行小波包变换，以各频带信号能量为元素构造特征向量，实现了高维波形数据的特征值提取，达到了数据压缩和降维的目的，为进一步实现LIA故障智能诊断、预测维护提供了一种可行的途径。

In the first part, for competitive discrete-time dynamical systems on a strongly ordered topological vector space, we prove that any α-or ω-limit set is unordered and lies on some invariant hypersurface with codimension one, which generalizes M.

在第一部分中，对于强序拓扑向量空间上的竞争离散动力系统，我们研究了极限集的序结构和极限集的几何位置，证明了任何α-或ω-极限集是无序的且位于一个完全无序的，余维为1的不变Lipschitz流形上。

The linear structural EV model studied in the paper can be written aswhere are the observations and measurement error of Xi and yi respectively ,and ij, Xi, ij are p-vectors .The paper presents the estimators of ,.Under some suitable conditions ,strong consistency is obtained .

对于一般线性结构型EV模型，即ξ_=X_i+δ_，η_=y_i+ε_=α+X_i′β+ε_，j=1，…n_i；i=1，…，k，…(0.2)其中ξ_(ij，η_，δ_，ε_分别是自变量X_i和因变量y_i的观测值和观测误差，ξ_，X_i，δ_是p维向量本文给出了参数β，α的估计，并在适当条件下，得到了估计的强相合性。

Researches the submanifolds in nested space,for constant curvature Riemannian submanifold in quasi-constant curvature manifold and pseudo-umbilical submanifold with parallel mean curvature vector in constant curvature Riemannian submanifold,presents three sufficient conditions for this pseudo-umbilical submanifold to be total-umibilical submanifold,generalizes the result of JI Yongqiang.

对于拟常曲率流形中的常曲率黎曼子流形以及常曲率黎曼子流形中具有平行中曲率向量的紧致伪脐子流形，给出了这种伪脐子流形是全脐子流形的3个充分条件，推广了纪永强的相关结果。

A new algorithm is proposed to make the estimation of the optimal decision vector of CDMA multiuser detector robust when the stable CDMA system has strong MAI.

研究在稳态的码分多址(code-division multiple-access，CDMA)系统存在很强的抗多址干扰时，使多用户检测中的最优判决向量的估计保持较高的数值鲁棒性的算法。

A non-singleton fuzzy support vector machine-based decision feedback equalizer is proposed in this paper for severely nonlinear distorted channels with burst jamming.

摘要该文提出了一种具有较强抗突发干扰能力的非单点模糊支持向量机判决反馈均衡器。

By using the steepest descent rule, the estimated second-truncated Volterra kernel parameters can be obtained after the object function converged. Based on the above results, the geometric assignment of kernel parameter vector corresponding to particular fault or normal operation, which is lies in a fixed and fault-specified direction in the parameter space, was used to fault diagnosis and Fault Isolation.

第四章针对起动发电机系统在起动过程具有较强的非线性特性，利用非线性volterra建模后获取的核参数向量来表征起动发电机的正常工作及各种故障模型，而核参数求值过程中快速收敛，有利于实现故障的快速、准确诊断与故障类型分离。

Support vector machines, a power machine learning algorithm, were applied to the self-learning of FLC.

采用学习能力强的支持向量机来实现FLC的自学习和在线优化。

Support Vector Machine is a new learning method based on hyperplane classification, and its powerful in common use.

支持向量机是一种基于超平面分类的新的学习方法，具有很强的泛化能力。

Results The EEG characteristics energy displayed by the model between epilepsy patients and healthy people could be divided obviously. As a new machine learning methods, SVM had a strong ability to generalize. EEG signals based on the algorithm of the classification would become diagnosis of epilepsy patients misprision of a new viable avenue.

结果：癫痫患者和健康人的16导脑电信号在能量特征上表现出较高的模式可分性，支持向量机作为一种新的机器学习方法，具有较强的泛化能力，基于该算法的EEG信号的分类方法会成为诊断隐匿癫痫患者的一种新的可行途径。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。