查询词典 model t

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。

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。

Results: For CRF rats which made by fed with feedingstuff contains 0.75% of adenine for 4 weeks, the weight of model control group rats were lighter than that of Yi Shen Granule groups rats. The water wastage of Yi Shen Granule groups rats were less than that of model control group rats. Compared urine volume, the ejectable quantity of Na, K, Cl and proteinuria in 12 hours , the data of Yi Shen Granule groups rats were less than that of model control rats. The specific gravity of Yi Shen Granule groups rats was higher than that of model control rats. The numerical value of RBC, HGB, HCT, MCV, MCH in model control group was lower than that in Yi Shen Granule groups. The content of BUN and Cre in serum of model control groups rats were higher than that of Yi Shen Granule groups. The results of excretion test of phenolsulfonphthalein showed that the RPF of Yi Shen Granule groups rats was larger than that of model control group rats.

结果： 益肾颗粒可以使0.75%腺嘌呤饲喂法致大鼠慢性肾衰模型动物体重增长加快；给药后观察，给药组动物饮水量较少，12小时尿量、12小时钠、氯、尿蛋白排泄总量均显著低于模型组动物，尿液比重值较大；模型组动物的RBC、HGB、HCT、MCV、MCH等指标的数值较给药组动物的数值小；给药组动物血清中BUN和Cre的含量较低；给药组动物酚红排泄率均高于模型组动物；给药30天，处死各组动物，尸解观察，模型对照组动物肾脏呈灰白色，各给药组动物肾脏表面均出现不同程度的红、白相兼的颗粒状纹理，各组动物肾脏均肿大，切面可见不同程度的腺嘌呤结晶沉积。

Modify the model by FreeForm software and dissecte the model of haunch bone; import the 3D visible model of haunch bone into Ansys8.0 software. Add mechanics parameter to the haunch bone model, construct 3D finite element model of acetabulum. 2、On the base of common fracture line of acetabular posterior wall fracture in clinical cases, split the acetabular 3D finite element model according to 1/3, 2/3, 3/3 areas fractures of posterior wall after simplify setting, obtain four types of acetabular posterior wall fracture model(including normal condition of acetabulum).

按髋臼骨折Letournel分类标准并根据临床髋臼后壁骨折病例常见骨折线位置，进行简化设定，依次按后壁1／3，2／3，3／3面积骨折将髋臼三维有限元模型后壁进行拆分，获得三种髋臼后壁骨折状态的有限元模型；再模拟双足直立位对髋骨约束设定，分别对后壁正常及不同面积骨折状态模型进行加载，获取各模型应力分布图并记录臼顶负重区、髋臼前壁和剩余后壁在不同后壁骨折状态下应力分布大小及改变。

In this study, the following studies have been carried out(1)Test on a typical MR damper employed in this study was carried out, Neural network model based a direct model and a inverse model were established. The performance of the models were cpmpared with the Bingham model and the hyperbolic tangent model. Results show that ANN model can describe the mechanical behavior of MR damper perfectly as a nonparmetric model.

本文主要进行了以下三个方面的工作：(1)对一种典型的磁流变阻尼器进行了性能试验，利用实验实测数据建立了阻尼器的Bingham模型、双曲正切模型两种参数模型以及基于神经网络的正向和逆向模型，对三种计算模型进行了仿真分析，并与试验结果进行对比研究，结果表明，神经网络模型比两种参数模型能更好地模拟阻尼器的动态性能。

Not considering the restriction of the depot s transporting ability in the existing achievement of emergency dispatch, consequently, this chapter establishes a sole-resource optimized dispatch model aimed at "the shortest dispatch time" which includes the constraint of transporting ability under time restriction firstly. Moreover, the chapter deduces the algorithm of the model by mathematical induction step by step. Secondl y, it simplifies the former model and gives a simpler sole-objective model and corresponding algorithm including the constraint of transporting ability. At last, on the basis of the improved model, this chapter discusses a two-phase programming model and a multi-objective programming model which are aimed at "the shortest dispatch time" and "the fewest number of mobilized depots" including the constraint of transporting ability under time restriction.

由于现有应急调运的研究成果中没有考虑到各物资供应点受运输能力的约束，因此本章首先建立限制期内以"应急调运时间最短"为目标且含有运输能力约束的单物资调运优化模型：并利用逐步递推法推导出具体的求解算法；然后，进一步地将此模型及算法进行简化，建立更加简单的含有运输能力约束的单目标优化模型：并且讨论其算法；最后，在改进的优化模型的基础上，讨论限制期内含有运输能力约束且以"调运时间最短"、"出动的供应点数目最少"为目标的双层规划及多目标规划的优化模型及解法。

The TIB triphone model tying structure adaptation strategy uses the baseline acoustic model's triphone model tying result as the transcendental model clustering center, with the adaptation data alignment by the baseline acoustic model, re-estimate the TIB triphone model clustering center and model tying structure recursively under maximum likelihood principle.

以基本声学模型训练过程中的三音子模型聚类结果作为先验知识的聚类中心，依据基本声学模型对自适应语音库的分割，按照最大似然准则迭代地重估新的聚类中心和模型聚类结构。

More direct, directer ; most direct, directest

径直的，笔直的

Do you know how to use a chain saw?

你知道如何使用链锯吗？