查询词典 Model

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。

Based on the energy sensing, there are cooperative spectrum detection algorithms such as AND model, OR model, counting model, double threshold model, likelihood ratio model, linear cooperation model, and Distributed Wireless Communications System model.

基于能量检测，协作频谱检测的算法主要有：与算法、或算法、计数算法、分区算法、似然比算法、线性加权算法和分布式无线通信系统算法。

There are eight main hypotheses about the selective factors on evolution of endothermy in animals, including Thermal Niche Expansion Model, Homeothermy and Metabolic Efficiency Model, Decreasing Body Size Model, Postural Change Model, Increasing Brain Size Model, Aerobic Capacity Model, Parental Care Model and Assimilation Capacity Model.

内温性起源的选择因子包括8个模型：热生态位扩展模型、恒温与代谢效率模型、降低个体大小模型、姿势改变模型、增加脑大小模型、有氧呼吸能力模型、双亲行为模型和同化能力模型。

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。

Firstly, the course reviews the basic knowledge about matrix algebra and linear model, and introduce the BLUP for mixed linear model, then, learn the approaches to contruct and solve various animal models, including single trait animal model, repeatability model, maternal model, threshold model, random regression model, non-additive model and multiple traits model, finally, train application of animal model to animal genetic evaluation by means of a software on estimation of breeding values.

本课程首先回顾有关矩阵代数和线性模型的基础知识，介绍线性混合模型的BLUP求解方法，然后根据动物性状和动物育种资料的类型和特点，具体讲授不同种类动物模型，包括单性状动物模型、单性状重复率模型、单性状母体效应模型、单性状阈模型、单性状随机回归模型、单性状非加性效应模型和多性状动物模型等的建立和求解方法。最后，结合动物育种值估计软件，进行动物模型在动物生产性能的遗传评估中的应用训练。

This paper reviews the processes in glacier hydrological model in term of runoff generation model and runoff concentration model, analyzes the runoff generation mode from two most widely ablation model (the meteorological factors statistical model and the energy balance model), and enlarges on the runoff concentration model from three sub-models: the surface routing sub-model, the englacial hydrology sub-model and the sub-glacial hydrology sub-model.

从冰川产流和汇流两个水文物理过程出发，介绍了国内外冰川水文模型的研究进展，对目前应用最广的两类消融模型－基于气象因子的统计模型和基于物理机制的能量平衡模型进行了分析和讨论；从冰川表面、内部以及下部汇流3个方面阐述了冰川汇流模型所取得的成果。

In the research, the study of car impact test and numerical simulation method are both used. Based on works that have done, an impact model containing car model, dummy and restriction system model was built. According to national regulation, different types of impacts were simulated. The fuel cell auto's impact safety was analyzed, and the injury criterion for occupant can be read out directly by simulation data. The main research content of this project is to set up the fuel cell auto's frontal impact model, side-impact model, rear-impact model and the whole frontal impact model, which contains car model, dummy, restriction system model and so on, and calculating these models.

在本课题的研究过程中，博采众长，坚持创新，在综合分析总结前人研究经验的基础上，将实车碰撞试验研究与仿真计算分析方法结合起来，统一车身耐撞性有限元计算分析与乘员在约束系统作用下的运动响应的多体动力学分析，采用整车虚拟碰撞试验法进行燃料电池轿车的碰撞安全性研究，即建立一个集车辆、人体模型及乘员约束系统三者于一体的完整的车辆模型，以国家安全法规为依据，进行各种碰撞型式的整车虚拟碰撞试验，利用仿真计算结果进行燃料电池轿车的碰撞安全性分析，直接预测乘员的伤情指标。

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。

Using Basket warrants transaction data on TSEC from September 4, 1997 to June 25, 2001, the combination of five 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; Bollerslev's(1986)GARCH 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 warrants pricing model.

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，使用五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、Bollerslev(1986)的GARCH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)的组合型认购权证评价模型(CC组合型认购权证评价模型)配对成十种评价模型，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型。

What are your goals and strategies for growth?

你的成长目标和策略是什么？

And unto the angel of the church in Sardis write; These things saith he that hath the seven irits of God, and the seven star I know thy works, that thou hast a name that thou livest, and art dead.

3：1 你要写信给撒狄教会的使者，说，那有神的七灵和七星的，说，我知道你的行为，按名你是活的，其实是死的。