查询词典 predictor corrector method

The corrector is a modification of the Crank -Nicolson equation.

校正式是克兰克-尼科尔森方程的修改式。

The results were analyzed with the statistical software package spss10.0.results ①between two groups,there was no significant difference about the affection of age,sex and the destribution and location of aneurism on prognosis outcome(p＜0.05).however,the grading of hunt hess and fisher in group a(gos＞3) showed significantly lower than in group b(gos≤3),（p＜0.001）;② there was no significant difference in the frequency of heart rate, st elevation, st depression,t wave inversion,u wave inversion and ventricular arrhythmia(p＞0.05).the frequency of abnormal q wave, supraventricular arrhythmia and the ecg scores in group a showed significantly lower than in group b （p＜0.05,p＜0.001）;③the ecg scores was the most powerful multivariate risk stratified(ecg ≥5 vs ecg＜5; p=0.002,or=0.010,95%ci 0.001~0.173).conclusion the ecg score, a new and simple method of semi quantification, was a powerful risk predictor for patients with sah.

应用spss10.0 统计包分析结果。结果①在年龄、性别、动脉瘤生长部位影响动脉瘤性sah预后方面，两组病例无明显差异（p＞0.05）。而按sah后hunt hess分级和fisher分级，gos＞3病例的分级要明显低于gos≤3的病例的分级（p＜0.01）；②两组在心率、st段抬高、st段压低、t波倒置、u波倒置、室性心律失常出现的频率无明显差异（p＞0.05）；在异常q波和室上性心律失常出现频率及心电图评分方面，gos＞3的组别明显低于对照组（p＜0.05，p＜0.001）；③心电图评分是sah患者预后最显著影响的变量（p=0.002，or=0.010，95%的可信区间0.001~0.173）。结论心电图评分作为一种新型、简便的半定量方法，能有效的预测蛛网膜下腔出血病人的预后。关键词：心电图；预后；评分；蛛网膜下腔出血

In order to resolve the conflict between excessive data storage, time expensive computation and real-time image processing, a method is proposed based on distance transfer with chamfer to extract the position and scale features of each objects, then a five points square predictor is used to estimate the position of objects next time and compute the velocity. Finally, objects are associated using improved weighed nearest neighbor. The algorithm is implemented on the platform of Xilinx XCV300E+ADI Blackfin 532 DSP.

为了解决多目标跟踪中数据存储量、运算量大与实时处理之间的矛盾，提出了一种基于倒角算子距离变换的多目标分离方法，分别提取出各个目标的位置和大小信息，再采用五点二次预测估计出下一场目标的位置从而得到目标的运动速度，最后由改进的加权最近邻算法进行目标特征关联。

Considering the vehicular SG cruise integrating model under braking condition influenced by some factors of nonlinearity, time-delay and the disturbance, a new nonlinear SMITH predictor is designed to compensate the time delays of control variable in advance. Furthermore, with the resort of pure delay operator, extension of the Lie derivative and the Lie bracket, some issues of SISO nonlinear system with time delays in state variable are resolved, which cover the input-output linearization, invertability of coordinate transformation and the disturbance decoupling problem.the staged transformation and design technique, the vehicle deceleration tracking control and the SG cruise disturbance decoupling control under braking condition are carried out effectively using proposed control method.

在建立制动工况下车辆走-停巡航系统集成模型基础上，针对其非线性、时滞特性以及目标车减速度干扰的影响，提出一种改进的非线性SMITH预估补偿方法，以消除控制变量时滞，并结合时滞算子、扩展李导数和扩展李括号方法，研究并解决了SISO状态变量时滞非线性系统的输入输出线性化、坐标变换的可逆性以及输出干扰解耦问题，实现了SISO时滞非线性系统的综合控制。

According to the method,a input/output off-line model and time delay parameter of a unknown time delay process is identified by ULN.The ULN that can be a neural network predictor is used for a prediction model of the time delay systems.

该方法利用本文提出的通用学习网络自适应算法对模型未知的时滞系统进行离线建模，得到该过程的输入输出模型以及系统的滞后时间，进而将辨识得到的神经网络模型作为模型预测器对时滞系统进行预报。

First, we have designed an effective method independent of quantizing signal noise rate in evaluating the performance of gain filter. This provides a way to compare and evaluate different optimizing schemes before gain quantization, forms a way of independent research between gain predictor and gain quantizer.

第一，提出了一种不依赖量化信噪比评价增益滤波器性能的方法，可在增益量化之前直接比较评价增益预测器的各种优化方案，形成了增益预测器与增益量化器分别独立进行优化的方法。

By using muti-variable mean generation f uncti on of the predictand and its predictor, the mean generation function is orthogon alized by means of the Gram-Schmidt s method.

用预报量与多变量预报因子的均值生成函数，通过 Gram- Schmidt正交化使均值生成函数彼此正交，同时利用双评分准则确定入选预报模型的均生函数个数，最后建立山西省季节降水的预报模型。

Traditional sports teaching method,already could not adapt the new times sports curriculum to reform; this article means which through the literature law, the questionnaire investigation law, the cut-and-try method unifies, carries on the comparison to the traditional each sports teaching method, discovered the sports competition teaching method can adapt the new times student sports demand; the competition teaching method is unifies the traditional teaching method in the foundation one new teaching method, proved through the experiment, its teaching effect is good.

一些传统的体育教学思想、教学理念、教学方法、教学模式已经不能够适应现代教学的需要，在此过程中，为提高教学质量，就必须对教学方法进行改革。作为体育教学，如何进一步转变体育教育思想，深化体育教学改革，摆脱旧的传统的教学体系、思想体系和理论模式，逐步形成一个新型的，具有中国特色的教学过程和教材体系，使我国体育教学面向未来社会的需要，跟上21世纪学校体育发展的需要，是本文探讨和研究的问题。

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。

A mixed method of conjugate gradient method and steepest descent method ;2. The Modified Steepest Descent Method──Best Point in Steepest Descent method;3. This paper presents the mathematical model for the optimization of heterogeneous components, and the method using sensitivity analysis and steepest descent method to optimize material properties, the component is then identified.

阐述了非均质材料零件设计优化的数学模型，并采用灵敏度分析以及最速下降法对其各个材料区域的材料性能进行设计优化，得到最佳材料性能参数后，再从非均质材料数据库中找到相应的工程材料，合成满足设计要求的非均质材料零件该方法为设计者提供了切实可行的非均质材料零件的材料设计方

This was not understood at the time, and therefore went unaddressed, until ascension became so distorted that we chose to stop ascending and wait for a time when all records would be revealed.

这在当时没有被了解，因此进行着无改编，直到提升变得如此扭曲，我们选择去停止提升并等待所有记录能被揭示的那一天。

The attack＇s nuisance value is increased because mobile phone networks also send notifications of new voicemail by sms,so an attacked phone may stop advising of new voice messages too,it warned.

它警告：这种攻击的危害增长是因为移动电话网络也会通过短信发送新语音邮件的通知。所以受到攻击的手机可也以停止新的语音信息的提示。