查询词典 model of moving means

Discussion topics include data analysis, probability concepts, point and interval estimation, statistical inference, hypothesis testing, simple regression model, inference in the simple regression model, general linear statistical model, dummy variables, collinearity, heteroscasticity, autocorrelation, error-related model, the Probit model, the Logit model and the Tobit model, simultaneous equations, and the time-series statistical model

讨论的主题包括实证资料的分析，机率，点估计与区间估计，统计推论，假设检定，简单回归分析，一般线性统计模型与推论，虚拟变数，共线性问题，异质变异数，自我相关， Probit模型， Logit与Tobit模型，联立方程式的估计与推论，时间数列统计模型。

Through hang together the simplex data model based on dissection and conventional GIS data model, we develop a integrated and polymorphic model, object oriented unified model of tessellated simplex and conventional GIS, which convenient to inherit and congregate. The model manage the abstracted data accord to 4 level factor, that is geometry object model, topologic geometry object view model and geography object model.

论文采用面向对象的方法把基于剖分的单纯形数据模型与传统的GIS数据模型结合在一起，提出并建立了一个便于继承、组合、多态的较完整的三维数据模型与结构一面向对象的单纯形剖分与GIS一体化三维数据模型。

Using Basket warrants transaction data on TSEC from September 4, 1997 to June 25, 2001, the combination of four volatility models classical history volatility,Parkinson's(1980 high, low history volatility model,Garman and Klass's(1980) high, low, opening, closing history volatility model,Trippi's(1977) equal weights implied volatility model with two pricing models Black and Sholes's(1973 option pricing model, henceforth BS pricing model,Chen and Cheng's(2000) basket option pricing model, henceforth CC pricing model are discussed on valuation performance to obtain superior basket warrant pricing model.

摘要本文利用1997年9月4日至2001年6月26日间在台湾证券交易所发行且已到期的组合型认购权证，使用四种波动性估计模型历史波动性模型，Parkinson(1980的最高，最低价历史波动性模型，Garman and Klass(1980)的最高，最低，开盘，收盘价历史波动性模型，Trippi(1977)的等加权平均隐含波动性模型与Black and Sholes(1973)选择权评价模式，陈松男与郑翔尹(2000)的组合型权证评价模式配对成八种评价模式，并比较其评价绩效，冀期能得到一较佳的组合型认购权证评价模式。

On the basis of analysis of the cost,profit and therate between the profit and cost,the present paper seeks the basic ways to raise the efficacyof the advanced technology wars:combining military means with non-military means;combining hard killing and wounding means with soft killing and wounding means;combin-ing material means with spiritual means;making policy scientifically,using astuteness andresourcefulness ingeniously.

本文在分析高技术战争产生的耗费、效益和效费比的基础上，探寻了提高高技术战争效能的基本途径：军事手段与非军事手段相结合；硬杀伤手段与软杀伤手段相结合；物质手段与精神手段相结合；科学决策，巧用谋略。

In the purpose of system can adapt to all kinds of geography condition, mathematic model of microseismic signal generated by a target moving on the ground has been made at the end of this article. The model has been used to emulating stress signal of different target to ground, Rayleigh wave in different terrain. This is an effective means to obtain and considerate microseismic signals of moving target in various terrain.

为了系统适应不同地域环境，文中最后对目标运动引起的地震动信号进行了理论建模和仿真，建立的数学模型可以对不同目标对地面的激励函数、不同地形地质条件的地震波进行模拟仿真，这为获取不同地域环境的目标运动引起的地震动信号提供了一种有效的方法。

3D model produce enormous degree of freedom.(3) Simulating have to employ multi-step load for moving heat source. In order to solve problems mentioned above and improve solution accuracy, this paper choused suitable material property parameter, and used transition mesh, with two point and line heat sources model. The program which applyload of moving heat sources and suitable time step was edited by means of ANSYS' APDL (ANSYS Parametric Design Language).

为了解决这一问题并提高计算精度，本文对高温时材料的物理性能参数进行了适当的选取和处理；采用过渡网格划分形式划分网格以保证焊缝处网格足够细小；点热源选取高斯函数分布和线热源进行叠加，利用ANSYS软件的APDL（ANSYS Parametric Design Language）语言编写程序实现移动热源的加载；选取适当的计算时间步长。

A fine-grained genetic algorithm based algorithm which is for the parameters optimization problem of agent model is proposed. The fine-grained genetic algorithm is used to solve the parameters optimization problem of agent model. As to the parameters optimization problem of the agents colony model, the first step is to define the concept of "the parameters mode of the combat agents colony" to describe the parameters of the combat agent colony model. Then the genetic algorithm is used to solve the optimization problem with the parameters mode of the combat agent colony model as the genetic individual. Besides the algorithm, the algorithm dispatch tactic is also considered. And the two level sequence dispatch tactic and the two level nesting dispatch tactic are put forward for those complex parameters optimization problem. At last, the model parameters optimization under antagonism codition is studied. The means to solve this problem is to translate it into a kind of antagonism problem, then use the competitive co-evolutionary genetic algorithms to solve it.

其中：提出了一种基于细粒度模型的作战智能体模型参数优化求解算法，用细粒度模型遗传算法求解作战智能体模型参数优化问题；提出了"作战智能体群体参数模式"的概念，对作战智能体群体模型参数进行形式化描述，再以作战智能体群体参数模式为遗传个体，应用遗传算法求解作战智能体群体模型参数的优化问题；研究了上述优化问题求解算法的调度策略，提出了分层模型参数优化算法的双层顺序调度策略和双层嵌套调度策略，解决复杂的模型参数优化问题；将对抗条件下作战模型参数的优化问题转化为一种对抗性问题，应用竞争性共同进化遗传算法，进行求解。

The model is consisted of five sub-models including process model, infrastructure model, coordination model, behavior model and information model, which provides the means for the description of enterprise entity from different perspectives and implements the enterprise synthetical integration with attributes of polymorphism, overlapping and stereoscope.

该模型包括过程模型、基础设施模型、协同模型、行为模型和信息模型等五个子模型，为从不同侧面对企业实体进行全面描述提供了模型框架和描述手段，体现了企业模型的多态性、交叉性和立体性，实现了企业的综合集成。

The main contents is: analyzing some detection method to moving target nowadays; particular studying the principle of detection moving target in SAR; analyzing SAR imaging theory and the echo model of moving target; discussing conventional SAR imaging , the movements of target cause the changes of doppler mass center and regulable frequency, and the changes cause effect the imaging result; introducing the estimation method of doppler parameter; analyzing theory of DPCA, derivating the formula needed, and validating it's validity and practicability through simulation; advancing the improved DPCA algorithm that combine the advantage of DPCA and ATI, and validating it through computer simulation; using the revision algorithm to range ambulate based on keystone transformation, and validating it through computer simulation; discussing the compensation art of SAR imaging.

主要内容有：分析了现有的一些动目标的检测方法；详细研究了SAR动目标检测的原理；分析了SAR成像理论和运动目标的回波模型；探讨常规SAR成像时，目标运动引起的多普勒质心和调频率变化，以及这些变化对成像结果的影响；介绍了多普勒参数的估计方法；分析了DPCA原理，推导所需要的基本公式，并仿真验证其有效性和实用性；提出了结合DPCA和ATI优点的改进DPCA算法，并仿真验证；探讨了SAR成像中的运动补偿技术。通过对仿真结果的分析，本文提出的方法具有一定的指导意义和参考价值。

Among used machine learning methods, the gradient descent method is widely used to train various classifiers, such as Back-propagation neural network and linear text classifier. However, the gradient descent method is easily trapped into a local minimum and slowly converges. Thus, this study presents a gradient forecasting search method based on prediction methods to enhance the performance of the gradient descent method in order to develop a more efficient and precise machine learning method for Web mining.However, a prediction method with few sample data items and precise forecasting ability is a key issue to the gradient forecasting search method. Applying statistic-based prediction methods to implement GFSM is unsuitable because they require a large number of data items to model a prediction model. In the contrast with statistic-based prediction methods, GM(1,1) grey prediction model does not need a large number of data items to build a prediction model, and it has low computational load. However, the original GM(1,1) grey prediction model uses a mathematical hypothesis and approximation to transform a continuous differential equation into a discrete difference equation in order to model a forecasting model.

其中梯度法是一个最常被使用来实现机器学习的方法之一，然而梯度法具有学习速度慢以及容易陷入局部最佳解的缺点，因此，本研究提出一个梯度预测搜寻法则(gradient forecasting search method， GFSM)来改善传统梯度法的缺点，用来提升一些以梯度学习法则为基础的分类器在资讯探勘上的效率与正确性；而一个所需资料量少、计算复杂度低且精确的预测模型是梯度预测搜寻法能否有效进行最佳解搜寻之关键因素，传统统计为基础之预测方法的缺点是需要较大量的数据进行预测，因此计算复杂度高，灰色预测模型具有建模资料少且计算复杂度低等优点，然而灰色预测理论以连续之微分方程式为基础，并且透过一些数学上的假设与近似，将连续之微分方程式转换成离散之差分方程式来对离散型资料进行建模及预测，这样的作法不尽合理，且缺乏数学理论上的完备性，因为在转换过程中已经造成建模上的误差，且建模过程仅考虑相邻的两个资料点关系，无法正确反应数列未来的变化趋势。

Salt is good, but if the salt becomes flat and tasteless, with what do you season it?

14：33 盐本是好的，盐若失了味，可用什么叫它再咸呢？

He reiterated that the PLA is an army of the people under the leadership of the Communist Party of China.

他重申，人民解放军是在中国共产党领导下的人民军队。