样本

This ellipsometric method does not need to rotate the sample azimuthally. The physical parameters of sample are measured under various linear polarized lights through the numerical fitting to its theoretical model. In addition to the orientation of the first layer of nematic liquid crystal is considered, the total phase retardation and twist angle of twist Nematic Liquid Crystal cell are the physical parameters measured by this method.

本论文以椭圆偏极术为基础，在不需转动样本方位角的情况下，以不同偏振方向的线性偏振光入射样本，藉由出射光偏振态的变化，用数值方法拟合出样本矩阵模型参数；我们所量测的样本为扭转式液晶盒，其矩阵模型包含了三个参数：总相位延迟、扭转角及第一层液晶锚定方向。

We firstly summarize the NN system modeling methods and the popular optimization algorithms, and point out the deficiencies, the limitation of noise cancellation modeling and the need of human intelligence participation, in our former optimization work after analysis. An abstract problem is extracted. It is to find out control variant that makes system output optimized using the data comprising a sample set with N x samples and their corresponding y, and it does not explore given system and achieves full automatic computation procedure. Next we propose a multi-variant controlled system optimization method utilizing CASSANDRA-I small type neural computer and program its application software. Moreover systematic experiments are made to demonstrate the method's validity, ability of noisy samples disposal and practical application.

我们总结了神经网络系统建模方法以及得到广泛采用的优化算法，并分析指出我们前阶段的优化工作中存在的去噪声建模有局限性和计算过程需人干预的不足，在此基础上把问题抽象为：已从系统获得含N个控制量样本的样本集S以及每个样本对应的系统输出，如何依据这些数据求出一个使系统输出y得到优化的控制量x，而不研究具体系统，实现不需要人智能参与自动完成的计算过程；提出应用人工神经网络硬件系统——CASSANDRA-I小型神经计算机的多变量控制系统优化方法，设计完成了其应用软件；并进行系统的实验工作，验证算法的有效性以及此方法处理带噪声样本和实际应用能力。

Researchers who analyze this data set should be attentive to the issue of biased sample and think about the methods to correct the bias before drawing conclusions or making inferences.

综合样本流失与访问效应的检视，整体而言，TEDS固定样本的成功样本是偏差样本，在使用时必须加以注意或处理。

A sequenced method in consideration of the sample range was proposed to rationally array classifiers of a support vector machine with binary tree architecture. A sample distribution radius and a sample distribution distance were introduced to estimate sample range of all classes in high-dimension characteristic space. The classes with bigger sample range were classified earlier in the higher nodal point of the binary tree architecture, and were given wider classificatory areas in the characteristic space.

考虑到样本的分布情况对分类器推广能力具有较大影响，提出一种次序二叉树支持向量机多类算法，采用样本分布半径和样本分布距离估算各个类别的样本在高维特征空间中的分布情况，把分布半径较大的类别或者分布距离较大的类别较早地分出来，并且在特征空间中给其划分较大的分类区域。

This thesis has mainly contributed two results in theory: one is that the covariance matrix is not positive definitive if the number of sampling is least than the number of variables, the other is that the covariance matrix of discrete sample is positive definitive if and only if the sum of every random column vector of data matrix is non I-linear combination.

本论文在理论上，主要得出两个新的结果：ⅰ抽样调查中，若样本的个数少于变量的个数则样本协方差矩阵恒为非正定；ⅱ离散型样本协方差矩阵正定的充要条件是样本资料阵的各随机列向量是非I-线性组合。

To sum up, main results of this study were listed as follows:(1) After analyzing the main factors affecting generalization function of neural network, and aiming at poor representativity of hydrologic time series samples, standardization method of transforming extreme was presented to deal with input sample of time series, which could make the input samples lie in the interpolation range of training samples even if they lie in the extension of training samples, so it improved generalization function of neural network and accelerates network convergence speed.

概括起来，本文取得的主要研究成果如下：(1)对影响神经网络泛化能力的主要原因进行了阐述，针对水文时间序列样本的代表性不好这一问题，提出了采用变最值的规范化方法处理时间序列输入样本，使神经网络的输入样本即使为训练样本的外延，规范化后也处于训练样本的内插范围，从而改善神经网络的泛化能力，并加快网络收敛速度。

The results showed that in evaluation of the method by detecting 50 RHD 1227A positive and 50 RHD 1227A negative individuals, the genotyping method displayed a sensitivity of 100% and a specificity of 100%; in evaluation of the method by detecting 33 DEL positive and 89 DEL negative individuals, the sensitivity was 100%, however, there were two serologically negative samples which were confirmed as positive using genotyping method.

结果表明：在50例RHD 1227A阳性和50例RHD 1227A阴性的Rh阴性样本中基因分型方法的灵敏度和特异性都是100％；在33例DEL阳性样本和89例DEL阴性的样本中，基因分型方法的灵敏度为100％，有2例样本血清学结果为阴性而基因分型结果为阳性，重新用血清学方法和序列分析方法复核这2例样本，发现2例都是血清学漏检，因而基因分型方法的特异性是100％。

The results showed that in evaluation of the method by detecting 50 RHD 1227A positive and 50 RHD 1227A negative individuals, the genotyping method displayed a sensitivity of 100% and a specificity of 100%; in evaluation of the method by detecting 33 DEL positive and 89 DEL negative individuals, the sensitivity was 100%, however, there were two serologically negative samples which were confirmed as positive using genotyping method. After re-testing these two samples with serological method and sequence analysis, it was found that original serological method gave false negative results and genotyping method still showed 100% specificity. The minimal target DNA concentration of this genotyping method is 8.13 ng/μl.

结果表明：在50例RHD 1227A阳性和50例RHD 1227A阴性的Rh阴性样本中基因分型方法的灵敏度和特异性都是100％；在33例DEL阳性样本和89例DEL阴性的样本中，基因分型方法的灵敏度为100％，有2例样本血清学结果为阴性而基因分型结果为阳性，重新用血清学方法和序列分析方法复核这2例样本，发现2例都是血清学漏检，因而基因分型方法的特异性是100％。

As a result, it is convenient for the recognition system to use the simple linear classifier to segment the sample space, so that the accuracy and distortion invariant ability can be easily achieved. The classification structure of a bifurcating tree is utilized to decompose the classification problem of multi-classes to the multi-stage classification of two classes, which simplifies the design of the classifier, and improves the searching efficiency as well. A gray-scale analysis based method for extracting features from optical correlation result is proposed.

提出了二叉树鉴别分类方法，在使用同类图象的多个典型畸变样本训练识别系统的基础上，利用鉴别分析方法优化各类图象的特征向量在样本空间中的分布，不仅有利于同时提高系统的准确性和抗畸变能力，而且便于采用简单的线性分类器来划分样本空间；利用二叉树分类结构，将多类样本的分类问题分解为多级二类样本的分类问题，不仅简化了分类器的设计，而且提高了搜索效率。

Commercial wheat had the same thousand-kernel weight with wheat taken from farmer's fields, however, the protein content was lower.

粮库商品粮样本与田间小麦样本的千粒重相同，粮库商品粮样本的蛋白质含量低于田间小麦样本，农户田间小麦品质明显好于粮库小麦样本。

The concept of equivalent rotationally rigidity is offered and the formula of rotationally rigidity is obtained.

主要做了如下几个方面的工作：对伸臂位于顶部的单层框架—筒体模型进行分析，提出了等效转动约束的概念和转动约束刚度的表达式。

Male cats normally do not need aftercare with the exception of the night after the anesthetic.

男猫通常不需要善后除了晚上的麻醉。