sample space

a new adaptive variable neural network is developed according to the inner product feature of sample space. this method does not need to iterate learning.

根据样本空间的内积特性，提出一种无需迭代学习的自适应变结构神经网络。

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The definition and quality of conditional probability of fuzzy events were given. The total probability formula of Fuzzy events in general division of sample space was also given.

给出F事件的条件概率定义和性质，并在基本空间普通划分下给出F事件的全概率公式。

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Also it puts forward a method of studying the population distribution of fuzzy subset B by using the sample space and the score comparison table of W valuation scheme.

提出了利用样本空间和它在W赋值方案下的得分对照表来研究模糊子集B的总体分布及其得分规律的设想。

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Disturbed by random selection within a certain number of particles in the sample, calculate the sample mean and variance of the target space, which is proposed for the maximization and minimization problems of the robust model ofa single target, and extended to multiple targets. 4.

通过随机选取粒子扰动范围内一定数量的样本，计算出样本目标空间的均值和方差，由此提出了针对最大化和最小化问题的鲁棒模型，并推广到多个目标的优化命题。

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the representative negative training samples are selected according to their distribution density in the high dimensional sample space and their prediction deviations.

根据高维样本空间中的反例样本的分布密度，选取有代表性的反例训练样本。

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To solve the problem that the face samples are nonlinear embedded in the original sample space, a novel face recognition algorithm called Local Fisher Discriminant Analysis ( LFDA) is proposed in this paper.

为解决人脸样本在原始样本空间的非线性流形嵌入问题，本文提出了局部Fisher判别分析（LFDA）算法。

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compared with pca, lpp is based on the local structure of sample space. thus, lpp can effectively keep the latent manifold of data after dimensionality reduction and has better feature extraction ability.

相比PCA算法，局部保持投影（LPP）从样本空间的局部结构出发，降维后可有效地保持数据中潜在的流形结构，具有更好的特征提取能力。

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Mathematics analysis in frequency domain for sample time staggered space vector modulation technique

错时采样空间矢量调制技术的频域数学分析

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by using the new fuzzy intensification operator and implementing a sample space transition in the network learning procedure, the network convergence speed is greatly improved and the segmentation result is also improved.

通过采用新的模糊算子及在网络学习过程中变换迭代样本空间，大大加快了网络的收敛速度、改善了分割结果。

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firstly, based on the four categories of a total of six macroeconomic indicators in previous theoretical analysis, the paper puts comprehensive index and credit spreads into the model and constructs the sample space.

首先基于前文理论分析选取反映宏观经济的四大类共计6个指标，并将信用价差综合指数纳入模型构建相关性分析的样本空间。

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this article brings forward the conception of universal gravitation in sample space via the thought of the universal gravitation in astrospace, and gives its applications on the discriminate analysis.

借用宇宙空间中万有引力的思想，提出样本空间中万有引力概念，同时给出其在判别分析中的应用&引力判别法。

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the least squares support vector algorithm is one of the effective methods of nonlinear time series prediction, which has certain advantages in small sample space and forecast accuracy.

而最小二乘支持向量回归算法是非线性时间序列预测领域的有效方法之一，在小样本空间和预测精度等方面有一定优势。

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this paper presents a difference-algebraic method of solving probability problems in the discrete sample space which can be thought as an extension and a supplement of the traditional difference-equation method.

本文讨论了离散样本空间中概率问题的一个解法，可以作为通常的差分方程法的一个拓广和补充。

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both algorithms take advantage of the communication relationship with the neighbor node, build the sample space, to improve the positioning accuracy.

这两种算法均利用邻居节点间的通讯约束关系构建样本空间，从而提高算法的定位精度。

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a difference-algebraic method of solving probability problems in the discrete sample space

离散样本空间中概率问题的一个差分-代数解法

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this paper presents the method and steps of computer test for the accuracy of parameter estimation and sample space.

本文给出了参数估计精度与样本容量大小充分性的计算机检验的方法和步骤。

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The application of total probability formula and Bayes formula for sample space on which two disservements and these formulas of the sample space have proved.

讨论了样本空间有不同划分时全概公式和贝叶斯公式的应用方法，给出了样本空间有两种划分时全概公式和贝叶斯公式的证明。

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Then, to solve the problem of SVM training speed for large-scale sample set, the reduction method for SVM training samples under the original sample space is proposed.

然后，提出一种在原始样本空间下缩减训练样本规模的算法，以解决大规模样本集下SVM的训练问题。

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the teacher explained the population or sample space clearly.

老师清楚地解释了总体或样本空间。

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a note on the method for constructing the confidence limits of parameters based on order relation in the sample space

基于样本空间中序关系构造参数置信限方法的一个注记

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Cascade Multilevel Converter Based on Sample Time Staggered Space Vector Modulation and Its Application to Shunt Active Power Filter

错时采样空间矢量调制的级联型多电平变流器及其在并联有源电力滤波器中的应用

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Stability in space and time trend of the growth on the soil of each sample was analyzed, and generate management zoning plan, the field can be used to guide the exact nutrient or water management.

从空间趋势和时间稳定性上对各生育期各取样土层进行了分析，并生成管理分区图，可用于指导香蕉园养分或水分精确管理。

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the sample space with the parameters of track features is constructed, and track association is performed with isodata algorithm.

将表征航迹特征的参量构成待分类的样本空间，利用ISODATA算法对来自不同传感器的航迹进行关联。

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Mapping ordered eigenvalue points of sample covariance matrix of the observation data onto Hough parametric space, the number of eigenvalues of noises can be estimated by detecting the peak points on Hough parametric space, and thus the number of signal source is determined.

该方法通过Hough变换将观测数据的采样协方差矩阵的排序特征值点投影到Hough参数空间，通过检测Hough参数空间中积累的峰值来估计噪声特征值的数目，从而确定信源的个数。

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point in the sample space

样本空间的点

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Once chosen the sample point in the feature space, the match points are searched, which are the feature points like the sample point and the distance to the sample point is lower than a threshold.

在特征空间选定取样点后，就到此特征空间中寻找与此取样点相同或相近的特征点，此寻找过程称为匹配过程，与取样点的加权欧氏距离小于阈值的特征点为匹配点。

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According to the time resolution of sampling to determine the sample space of sequence.

根据采样的时间分辨率来确定序列的采样空间。

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on the basis of strict mathematical description about the assurance test, the optimal lower confidence limit and upper confidence limit are found out by the method of arranging order in the sample space.

在对MTBF（平均无故障时间间隔）保证试验进行严格的数学描述的基础上，利用样本空间排序法找出了MTBF在一定意义下最优的置信下限和置信上限。

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Sample time staggered space vector modulation ( STS-SVM) technique is a novel switching modulated strategy, which can acquire much high equivalent switching frequency at fairly lower device switching frequency and have excellent harmonic characteristics.

错时采样空间矢量调制是一种新型的开关调制策略，能够在较低的器件开关频率下实现较高等效开关频率的效果，具有良好的谐波特性。

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The traditional clustering algorithms such as k-means and EM algorithm are based on a spherical sample space, when the sample space is not convex, the algorithm will stop at a local optimum.

传统的聚类分析算法最常见的比如k-means算法和EM算法，这些算法都是建立在凸球形的样本空间上，当样本空间不为凸时，算法会陷入局部最优。

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