样本点

The mean shift algorithm is a nonparametric statistical method for seeking the nearest mode of a point sample distribution.

均值移位算法是一种搜索与样本点分布最相近模式的非参数统计方法。

An improved artificial neural network model of lowpass filter with combinatorial nonperiodic defected ground structures is developed in this paper.

采用一种改进的人工神经网络反向传播算法，将动量方法和可变学习速度的BP算法结合，并且在每个样本点更新权值和偏置值，这种算法称为动量VLBP算法。

The normal transformation polynomial is used by some researcher in practical probabilistic analysis in structural or civil engineering; especially when multivariate random variables with the probabilistic characteristics expressed using only statistical moments are involved.

本论文提出了两种样本点选取策略，即方向余弦策略和有限步长策略，对响应面法进行改良；本方法一次性拟合响应面方程，避免了常规响应面法的复杂迭代运算，且对高非线性问题有较好的适用性。

A novel image recognition method based on fractal dimension estimation of point set in high dimension space is proposed.

提出了基于高维空间中样本点集分形维数估计的图像识别方法。

According to the computer program, the preterit memory of the two pattern we designd exhibit explicitly, at the same time, the posterior distributing chart of those pattern dots have very important reference value.

通过计算机程序实验，我们设定的两种模式下的历史记忆情况清晰明了，并且该模式样本点的后续走势分布图有很大的参考价值。

A distance is defined between two sample points in high-dimension space by means of kernel-function technique.

通过核函数技巧，定义了高维空间中两样本点之间的距离。

A Schmidt orthogonalization transfer is performed to feature vectors of S W. This process eliminates the correlation between vectors and improves the classification ability for unclassified samples that located in the small angle between vectors.

对Sw矩阵的特征向量使用Schmidt正交变换化，这一过程消除了向量间的相关性从而提高了位于特征向量坐标轴小夹角内样本点的分类性能。

In this method, all stable sub-intervals in the training sequence were located for each pixel as possible background. Then a classify data set was constructed by the median values of each subinterval. A background subset was obtained from the data set by unsupervised clustering. Accordingly the initialized background was obtained from the background subset.

首先利用滑动可变窗口检测每个像素的所有不重叠平滑子序列，获取可能背景；然后选择每个平滑子序列的中值样本点构建分类序列集，根据未知类别的无监督聚类识别思想获取背景子集，实现背景初始化。

Secondly, in the research of fuzzy clustering methods, we gave out several useful formulae and an improved fuzzy transitive closure method according to the degrees of influence of various pyrolysis parameters. We also brought up a modified FCM algorithm according to the different functions of the samples.

其次，在对基于模糊聚类的识别方法研究中，根据各种热解参数在油气层预测中的影响程度，给出了构造模糊相似矩阵的几个有用的公式，以及改进的模糊聚类传递闭包法；根据每个样本点对分类的不同作用，提出了一种改进的模糊C均值算法；试验结果表明，这两种方法都可以有效地提高分类精度。

In the method of regression function, we show twomodels with selectedχare discrete and continuous and discuss these reasonedly .

本文第3章中，针对离散样本点情形下两非参数回归模型(2.6)和(2.7)我们做了算例模拟。

This one mode pays close attention to network credence foundation of the businessman very much.

这一模式非常关注商人的网络信用基础。

Cell morphology of bacterial ghost of Pasteurella multocida was observed by scanning electron microscopy and inactivation ratio was estimated by CFU analysi.

扫描电镜观察多杀性巴氏杆菌细菌幽灵和菌落形成单位评价遗传灭活率。