样本分布

Then thedistribution of the students during the period is analyzed and thealgorithm is proposed according to the size of the total students sample.Finally based on the research above, a modified dynamic probabilitydistribution algorithm is proposed to meet the the real-time and equitydemand of the course-selection system. Compared with the knownalgorithms, this algorithm can put in practice real-time course-selection.At the same time the anticipator can select the course with the sameprobability.

本文首先对已有的选课算法进行了比较研究，随后对选课人数随时间的分布进行了分析，并进行相关算法研究，按照选课样本的大小提出了相应的算法；最后综合上述算法，提出了一种改进的基于概率动态分布的选课算法思想，使得整个选课过程中，实时性与概率动态分布有了很好的结合与体现，既实现了实时选课，又能后使得参选人尽可能的拥有相等的机会(即实现选课过程中的相对公平合理性)选中某个课堂。

They are common optical measurement and their distributions are obtained from the large sample data. Beta distribution is used as a unified distribution to simplify the research of optical measurement distribution.

通过对光学测量中常见的叉线对准以及焦距、曲率半径测量进行大样本数据采集和分析处理，利用实验方法得到常见光学测量数据的分布，并选择Beta分布统示表示多种分布，简化了光学测量中的分布研究。

Firstly, the random scene of fire was assumed. And then according to the probability distributions of the random parameters of fire in the building, a large number of samples were obtained using mixed congruence method and inverse function method of Monte-Carlo. Finally, the performance of the samples was simulated using Ozone, and the failure probability of the structure in fire was analyzed.

该模型首先确定火灾随机场景，根据建筑物内火灾随机参数的概率分布，利用蒙特卡洛的混合同余法和反函数法产生火灾随机场景的抽样样本，然后利用OZone软件进行火灾下抽样样本的性能模拟，通过大量样本的模拟实现了结构在火灾下的失效概率分析。

Choosing reliability simulation data as a sample, the parameter confidence interval as coding space and the reciprocal of errors between empirical distribution function and acquired distribution function as a fitness function, the point estimation model of age distribution is established based on the genetic algorithm, and the reliability function of complex systems is acquired.

以可靠性仿真数据为寿命样本，待估计参数的置信区间为编码空间，以经验分布与所求分布误差倒数为适应度函数，建立了基于遗传算法的寿命分布参数点估计模型，求得了复杂系统可靠度函数。

Then the best linear unbiased estimate method for interval data of normal distribution, Weibull distribution, extreme value distribution or other location-scale parameter models is presented. The presented method has higher precision, and solves the problem of reliability assessment with small sample of storage life.

在此基础上，提出一种区间数据最佳线性无偏估计方法，并对正态分布、极值分布、Weibull分布等常用的位置一尺度分布进行讨论，该方法能够对产品贮存寿命进行小样本预测和可靠性评定。

In this study, a novel artificial immune system algorithm for unsupervised classification and recognition is proposed by using a novel manifold distance based dissimilarity measure which can measure the geodesic distance along the manifold.

摘要将一种新的流形距离作为相似性度量测度，提出了一种用于无监督分类与识别的人工免疫系统方法。通过基于流形距离的相似性度量，有效利用样本集固有的全局一致性信息，充分挖掘无类属样本的空间分布信息，对样本进行类别划分。

Finally, the wind velocity data of Nantong observatory are used to verify the methods above-mentioned, and the likelihood ratio method and Kolmogorov statistic are used to test the fitness of the distribution, It is obtained that the distribution of yearly extreme wind velocity of the observatory is in keeping with Frechet distribution, and the experimental distribution form from samples basically coincides with the theoretical ones.

采用南通气象观测站的年最大风速资料进行实证研究，分别用似然比法和Kolmogorv统计量检验分布的拟合优度，得出南通气象观测站年最大风速符合Frechet分布，而由样本值构造的经验分布与理论分布曲线基本相吻合。

Second, when the error distribution of the model is the Laplace distribution, the L1 estimation of 1-D location estimation is essentially the sample median, hence the study of the Laplace distribution is also important.

第二，由于当模型的误差分布是拉普拉斯分布时，一元位置的最小一乘估计是样本中值，因此对于拉普拉斯分布的研究也是至关重要的。

Another advantage of these improved methods is the flexibility of rendering multiple volume data sets. There is detailed analysis and experimental proof of this flexibility. Besides, since the sample variance can reflect sample value distribution, an enhancement algorithm based on variance statistic is proposed.

另外，本文根据样本距统计量能够反映样本数据值分布的特点，提出基于方差统计的增强算法，绘制结果能够突出显示局部方差统计值较大，即结构分布较复杂的区域。

Firstly, the paper, combining the characteristic of synchronous pulse bursts and inhibition with the modified PCNN model, presents a way of finding the foveation points in the images adaptively and effectively, and simulates the human vision system. Secondly, PCNN is extended to PCNNs, based on the properties of information couple and transmission, an algorithm that is used to fuse images of the same target got by several sensors to an image is presented to simulate the human vision system. Thirdly, combining the properties of synchronous pulse bursts, capture, and transmission and competition of waves, the paper presents two ways of classification, one is an algorithm based on the properties of neuron to capture and inhibit to classify the data taking on any complex unlinear distribution robustly, the other is based on the restricted distance and modified of the former to remove the influence of inferior samples in classification; Finally, based on the accumulative difference pictures, and the forming and transmission of PCNN wave, selecting and controlling the direction of autowave by connecting the neighbouring neurons selectively, the paper presents a way to simulate the tracks of moving object and detect the moving direction.

首先结合PCNN的同步脉冲发放和侧抑制特性，提出了基于改进型PCNN的图像凹点检测算法，该算法是一种自适应而有效的图像凹点检测方法，并且较好地仿真了人类视觉系统；然后，结合信息传递和信息耦合特性，将PCNN扩展成PCNNs，提出了一种基于PCNNs的图像融合算法，能够将多个传感器获取的同一目标的图像信息融合到一幅图像中，有效模拟了人类视觉系统；另外，结合PCNN的同步脉冲发放特性、捕获特性和波的传播竞争特性，开拓地将PCNN用于模式分类中，提出了基于耦合神经元点火捕获／抑制特性的分类方法和改进的约束距离下的PCNN分类方法，前者可实现对样本空间中任意复杂分布训练样本的稳健非线性分类，而后者能够消除训练样本中刺点对分类的影响；最后，结合累积差分图像思想、PCNN波的形成与传播特性，通过各神经元之间连接取向来选择与控制自动波的流向，将PCNN用于运动视觉分析中的运动轨迹模拟及运动方向检测。

With the development of highway construction, the speed of cars has been gradually increased.

随着公路的发展，汽车的车速也在不断提高。

So we basically had to develop a bond with the animal in terms of socializing with it.

所以我们就主要想通过跟它沟通的方式来建立一种良好的关系。