查询词典 polynomial model

The pitch model of disyllable in Mandarin has been systemically studied on the basis of real materials of disyllable words through the techniques of polynomial curve fitting and VQ. The results show:(1)It is a practical and effective method in establishing the pitch model of disyllable through the techifiques of polynomial curve fitting and VQ.

本项研究从实际语音材料出发，运用曲线拟合和矢量量化的方法，对汉浯双音节调位的模型进行了系统地研究，研究结果表明；(1)利用曲线拟合和矢量量化技术对汉浯双字词声调组合进行模式归类是一种可行和有效的方法。

Simulation results demonstrate that memory polynomial model is more robust to delay estimation error than the general nonlinear polynomial model.

仿真结果表明，采用记忆多项式模型比一般多项式模型对延时估计偏差有更强的鲁棒性。

Based on in comparison of all statistical criteria and behavior of estimated parameter the RRM with a fifth-order Legendre polynomial for both fixed effects and additive genetic effects, a seventh-order Legendre polynomial for permanent environment effects is equally well equipped to model all effects, which is the best model among different RRMs.

通过各种统计指标和估计参数行为的比较，确定固定效应和加性遗传效应镶嵌5阶Legendre多项式，永久环境效应镶嵌7阶Legendre多项式的随机回归模型为最优模型。

Because of its easily calculating and its accurately description parametric method has became mainstream in study field, polynomial hazard function distribution model was a large class of parametric models, when the dates are not readily handled by one of the common models such as exponential distribution or Weibull distribution, polynomial hazard function model always be used to provide adequate fits of the dates.

随着该学科的发展，大量参数、非参数方法相继提出，特别是生存分析的参数方法，以其处理简便、描述准确成为生存分析研究的主流方向。多项式危险函数模型是参数模型中的一大类，当一批数据不能用熟知的一些分布，诸如Weibull分布、对数正态分布进行很好的描述时，常常使用多项式危险函数模型。

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。

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。

Different polynomial coefficient combination of amplitude changes is selected as the input signal to minimize the compensation error. A dynamic coefficient polynomial model is given with simplified coefficient estimation algorithm based on direct learning architecture.

动态系数多项式具有多组系数，随着输入信号幅度的变化，多项式选取不同的系数组合，从而降低非线性补偿的误差；文中讨论了动态系数多项式模型的构造方法，并且给出了基于直接学习结构的简化递归系数估计算法。

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。

I was just taking her hand, to help her out of a car, and I knew it.

我只是握着她的手，扶她下车，但我知道这一切。

China and South Korea have excoriated Japan over its approval of new school books which they say whitewash the atrocities committed during Japanese occupation, and anti-Japanese protests have been held in Chinese cities. The lingering bitterness over Japan's past imperialism still threatens to mar relations between the big East Asian powers

中国和韩国强烈谴责日本通过新的中学历史教科书，他们认为这一教科书掩盖了日本在其占领期间所犯下的残酷暴行，反日抗议活动在中国数座城市发生，历史上日本帝国主义制造的痛楚无法被忘却，这有可能破坏东亚强国间的关系。