We analyze the classifying results based on the fuzzy text classifying , think the wrong classifying results can be divided into two styles , and we propose a subordinative degree update algorithm aim at the two instances . combined the nizzy semantic relationship classifying algorithm , we propose the gradual classifier construction algorithm through checkouting and correcting the wrong results constantly with the update formula . 在模糊文本分类的基础上，对分类结果进行了分析，将分类错误归结为两种类型，并针对这两种情况提出了隶属度更新算法，结合模糊语义关联度的分类算法提出了运用更新公式不断对分类结果进行校验纠错进而逐渐地构造分类器的算法。
The two - stage modeling method for software project risk ’ s static bayesian networks is studied . the object - oriented modeling method for risk bayesian network is presented , structure refinement method based on network measurement is discussed , and probability parameters refinement method based on maximum likelihood estimates is put forward 为提高风险模型的准确性,提出了基于网络度量的风险贝叶斯网络结构改进算法,给出了基于极大似然估计的风险贝叶斯网络概率参数更新算法。
This paper analysis three kinds of deformations and propose resolving method respectively . a bottom - up updating method is propose especially which can compute the bounding volume of parent node through bounding volumes of the two children by k comparison . furthermore , a traverse tracing strategy that can speed up collision detection is proposed in this paper based on developing and utilizing temporal - spatial coherence in virtual environment 本文在对几种变形情况进行分析的基础上，分别提出了相应的解决方法，并着重提出了一种自底向上的包围盒树快速更新算法，通过k次比较运算由子结点的包围盒得到父结点的包围盒，以解决拉压变形和拓扑变化后包围盒树的更新问题。
The extended discernibility matrices and extended decision matrices have been introduced , new attribute reduction algorithm and incremental updating algorithm ( namely , attribute reduction algorithm based on extended discernibility matrix and incremental rule acquisition algorithm based on extended decision matrix ) have been presented , and incremental updating algorithm of mica has been discussed and researched 摘要引入扩展差别矩阵和扩展决策矩阵，提出了新的属性约简算法和增量更新算法，即基于扩展差别矩阵的属性约简算法和基于扩展决策矩阵的增量式规则提取算法，讨论了规则的增量更新算法。
The thesis has implemented adaptive background model to detect moving objects . we propose to operate in the hue - saturation - value ( hsv ) color space , instead of the traditional rgb space , and show that it provides a better use of the color information , and naturally incorporates gray - level only processing . at each instant , the system constructs three gauss distribution for a pixel and maintains an updated background model , and a list of occluding regions that can then be tracked 此外，自适应的背景模板，采用图像上的每个象素点的h 、 s 、 v的分布为高斯分布建立的三维模型，该模型与实际情况比较接近；在背景、前景的判断上，充分利用了颜色信息；而且在更新算法上也考虑了学习率的问题。
The main contents can be listed as follows : 1 . after analyzing the properties of the natural illuminating system , a region - based background and natural illumination model is set up using the histogram of image difference and rls filter . on the basis of that model , we propose an adaptive algorithm of judging and updating background image 基于户外自然光照系统的特点，建立了基于图像差分直方图和递推最小二乘滤波（ recursiveleastsquarefilter ,简称rls滤波器）的局域化背景和光照变化模型，提出了自适应的背景判断和更新算法。
In this paper , rough set theory has been discussed , by the analysis and synthesis of data mining algorithm based on rough set theory , incremental updating algorithms based on attributes reduction and data reduction have been presented , and incremental updating algorithms for mining association rules have been discussed 文中在对粗集理论进行研究，并分析和综合基于粗集理论的数据挖掘算法基础上，提出了增量算法，即基于属性约简与值约简的增量更新算法，并讨论了关联规则的增量更新算法。
The algorithms " accuracy is compared with the traditional quaternion algorithm via digital simulations . the simulation results are accord to the theory conclusion . and in this paper , it is discussed that how to select the optimal sample algorithm and how to make full use of the gyro data per update 在纯锥运动条件下进行了数字仿真，对各算法的精度进行了比较，仿真结果与理论结果一致，另外对如何选取旋转矢量几阶子样算法作为姿态更新算法，以及如何合理利用陀螺仪输出信息的问题进行了说明； 5
An updating algorithm based on linear programming is proposed in this paper based on the definition and property of fixed direction hulls . this method need not add any additional computation and memory during building bounding volume hierarchies . it can update a bounding volume through 3k multiplication 根据固定方向凸包的定义和性质，文中提出了一种基于线性规划的更新算法，不需要在构造包围盒层次时增加任何额外的计算量和存储量，在对象运动后可以仅通过3k次乘法得到更新后的包围盒。
The background subtraction method is used to retrieve the foreground , and the mixture gaussian model is used to model the background , during the modeling , the improved k - means algorithms is applied to improve the speed of background modeling ; 2 . in the process of the background updating , the updating algorithms based on statistical average is used to update the background , compared to the traditional background updating methods , it improves the speed of the background updating ; 3 . to solve the problem that the detection method based on gaussian shadow model detects the shadow inaccurately under some situations , a novel algorithm based on the body color vector matching is presented to detect and eliminate the shadow 本文在总结和分析了国内外相关研究工作的基础上,针对运动物体检测与提取中如何检测与提取前景区域以及如何检测与去除阴影的问题开展研究,其主要研究内容和成果如下: 1 .采用背景减除法提取前景区域,利用混合高斯模型进行背景建模,建模过程中,引入了改进的k -均值算法,加快了背景建模的速度,提高了背景建模的质量; 2 .在背景更新的过程中,采用了基于统计平均的更新算法,相对于传统的背景更新方法,提高了背景更新的速度; 3 .针对运动物体阴影检测与去除中,基于高斯阴影模型的阴影检测方法在某些情况下对阴影检测不准确的问题,提出了一种基于体色向量匹配的阴影检测与去除算法。
