强向量

To solve these problems, a new AHP method is presented by combining the weight vector rang estimation analytic theory with traditional evaluation index rejecting method.

针对用层次分析法进行评价指标筛选过程中经常出现比较矩阵不一致、相对权重值差别较大等问题，将权重向量区间估计分析理论与传统的评价指标剔除方法相结合，提出了一种新的AHP评价指标筛选方法，并以海底管道工程方案评价指标体系的确定为例进行了实际应用，结果表明该方法具有较强的实用性和可操作性。

Research show that wavelet varied-grid feature vector is characterized by high-stable and high-distinguish. Based on this vector the apery cognitron has solved the harmony of single-classifier and multi-classifier and the harmony of multi-feature. The data shows that the recognition rate and reliability has been effective improve.

实验数据表明，小波变网格特征向量具有稳定性高、区分性强的特点，基于此的智能字符识别机解决了单、多分类器协调和特征协调问题，在应用快速二值化方法加强处理实时性的同时有效地提高了车牌字符的识别率和识别可靠性。

The common method, that all strong-correlation terms of the model are eliminated, can bring the loss in the engineering application, so the new method is proposed that the identified model reserves some correlation. The augmented matrix A is constructed by the outputΔW and the matrix S. The"determinating order based on ratio of determinant"is brought out to screen the strong-correlation terms in the structure identification. The latent root estimation is improved in screening the eigenvalues and eigenvectors. Thus the estimation precision is improved greatly.The consistence check of guidance instrument error coefficients of flight test and ground test is the purpose of flight experiment. The causes of inconsistency of the two models are analyzed. The hypothesis test of linear regression model based on F statistics is proposed to check the consistence.Finally, the instability of error coefficients is probably caused by the change of the flight environments, therefore, the relation between the error coefficients and flight environment is analyzed. The approach is presented to identify SINS guidance instrument error models and compensate the error in the segmented sections corresponding to the change of vertical acceleration of aircraft.

在结构辨识中，常用的方法由于将模型中的强相关项全部剔除而给工程应用带来损失，因此，本文提出了新的有益思想，即在保留一定相关性的基础上进行辨识：将输出向量ΔW与环境函数矩阵S构成增广矩阵A，然后采用"比定阶行列式"来剔除相关向量的方法，这样既可以尽可能多地保留了对落点影响大的强相关参数，又可以对落点影响小的强相关参数给予剔除；在参数估计中，改进了特征根估计中特征根和特征向量的筛选方法，提出"近零"准则，从而大大提高了参数估计的精度；再者，鉴于天地模型"一致性"检验是飞行试验和SINS制导工具误差系数分离的主要目的，因此，本文又深入分析了造成天地模型不一致的原因，提出了采用基于F统计的线性回归模型假设检验方法来进行捷联制导工具误差模型的天地"一致性"检验；最后，鉴于飞行环境剧烈变化可能会对惯性仪表误差系数稳定性带来一定的影响，因此本文深入地分析了SINS制导工具误差系数与外界环境的关系，提出了基于过载变化大小的分段辨识和分段实时补偿的算法。

Aimed at the strong non-linearity and time-varying properties in a pH neutralization process, its identification model was proposed on the basis of support vector machine.

针对pH中和过程具有强非线性、时变性的特点，提出一种基于支持向量机的pH中和过程模型辨识方法。

Defines a d imensionless initial height of a heat source to reflect the effect of a heat source on heat distribution regularity of an air conditioned room with upward displacement, using variance analysis method obtains the dimensionless relationship between the heat distribution resularlty and other factors as Arn, Zr,ZJ and DIHHS, and reveals their importance in desoendins ceder as Arn, Zr, DIHHS and Zj.

提出了用热射流起始无因次高度来反映热源起始高度对下送风空调房间热分布系数α的影响，利用回归原理得出了α随阿基米德数Ar_n、热射流自由度Zr、机械射流自由度Zj及热射流起始无固次高度变化的准则关系式。用连结向量图法和对实验数据回归公式的F检验，对影响室内热分布规律的各个因素进行了分析，发现这些因素均为主要影响因素，其影响的相对主次依次为Ar_n，Zr，和Zj，回归结果具有很强的显著性。

Generalized strong vector variational-like inequalities; Minty's lemma; KKM mapping; pseudomonotone; Ky Fan lemma; open mapping theorem; complete; the second category; conjugate; proper convex lower semicontinuous function; linear mapping; closedness

基础科学，数学，数学分析广义强向量似变分不等式； Minty引理； KKM映象；伪单调； Ky Fan引理；开映射定理；完备；第二纲；共轭；真凸下半连续函数；线性映射；闭性

In chapter 3,we study some enumerative problems for 2-tournaments,find theformual for the number of valid score vector and the number for 2-tournaments in npoints,obtain the number of 2-tournaments with specified scores.

第三章讨论2-竞赛矩阵的若干计数问题，得到了n阶有效得分向量和n阶2-竞赛的计数公式；得到了具有特殊得分向量s的2-竞赛的数目〓，给出了{〓是强的}的最小值及〓最小时s的刻划；证明几乎所有的2-竞赛矩阵是不可约的。

The estimation errors, including the finite difference approximation error, the instrumentation channel mismatch error, and the error caused by ambient noise, are studied systematically.

文中基于声信号的空间互谱分析，给出了声强向量阵的定向原理，并系统分析了其定向误差，包括有限差分误差、通道失配误差和环境噪声引起的误差。

In the research, 28 characters including energy, informationization measure, fractal dimension, hue, cb, color moment, disease spot area, rotundity, figure factor, and others were extracted, and four approximate features were selected from 28 primordial features. The results indicated that the precision of the three kinds of maize disease recognition was higher than 90%.

研究中提取了墒、相关信息测度、分形维数、H值、Cb值、颜色矩、病斑面积、圆度、形状因子等28个特征向量，利用遗传算法优选出H值、颜色矩、病斑面积、形状因子等4个独立、稳定性好、分类能力强的特征向量，应用费歇尔判别分析法识别病害，准确率达到90%以上。

ABSTRACT: As a vector, the measurement of the sound intensity involves it's amplitude and direction.

声强是一个向量，声强测量同时涉及声强的大小和方向。

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。