But there is still redundant data in data table after attribute reduction . for each object , not all attribute value are necessary for last decision rule , so the reduction must be done in further step to get rid of redundant information continuously . that is called 经过属性约简后的决策表仍然有冗余信息，因此需要值约简，论文对二进制可分辨矩阵加以改进，提出多值可分辨矩阵，并在多值可分辨矩阵的基础上提出值约简算法，最后获取决策规则。
Multi - sensor data fusion can synthesize the spatio - temporal redundancy and complementary information according to some algorithms and criterions based on exploiting sufficiently multi - sensor measuring information , in the course of this synthesizing process , the accuracy and reliability and survivability of state estimation for maneuvering target are enhanced greatly 多传感器数据融合可以充分利用多传感器的量测资源,将多个传感器在时间和空间上的互补和冗余信息按照某种算法或准则进行综合,进而增强了对于机动目标状态估计的精确性、可靠性及对抗环境下的生存性。
Firstly , influence factors of generalization of neural network are presented in this thesis , in order to improve neural network ’ s generalization ability and dynamic knowledge acquirement adaptive ability , a structure auto - adaptive neural network new model based on genetic algorithm is proposed to optimize structure parameter of nn including hidden layer nodes , training epochs , initial weights , and so on ; secondly , through establishing integrating neural network and introducing data fusion technique , the integrality and precision of acquired knowledge is greatly improved . then aiming at the incompleteness and uncertainty problem consisting in the process of knowledge acquirement , knowledge acquirement method based on rough sets is explored to fulfill the rule extraction for intelligent diagnosis expert system , by completing missing value data and eliminating unnecessary attributes , discretization of continuous attribute , reducing redundancy , extracting rules in this thesis . finally , rough sets theory and neural network are combined to form rnn ( rough neural network ) model for acquiring knowledge , in which rough sets theory is employed to carry out some preprocessing and neural network is acted as one role of dynamic knowledge acquirement , and rnn can improve the speed and quality of knowledge acquirement greatly 本文首先讨论了影响神经网络的泛化能力的因素,提出了一种新的结构自适应神经网络学习算法,在新方法中,采用了遗传算法对神经网络的结构参数(隐层节点数、训练精度、初始权值)进行优化,大大提高了神经网络的泛化能力和知识动态获取自适应能力;其次,构造集成神经网络,引入数据融合算法,实现了基于集成神经网络的融合诊断,有效地提高了知识获取的全面性、完善性及精度;然后,针对知识获取过程中所存在的不确定性、不完备性等问题,探讨了运用粗糙集理论的知识获取方法,通过缺损数据补齐、连续数据的离散、冲突消除、冗余信息约简、知识规则抽取等一系列的算法实现了智能诊断的知识规则获取;最后,将粗糙集理论与神经网络相结合,研究了粗糙集-神经网络的知识获取方法。
We raised a new model that we disassemble the character into several parts , which could be recognized by computer topologically based on the high - frequency wavelet coefficients vector , disregarding the traditional extraction method that used the statistical or structural feature based on the individual pixel in the 2 - dim plane of character . moreover , the concept of multi - dim cognizing feature model was put forward by encoding the character , according to its " location and run - length information . the information confusion and redundancy could be largely eliminated , as leaded to the improving of the preciseness when recognizing the character 克服以往结构、统计方法在字符特征提取中无法剔除噪声、偏移等冗余信息的不足，以认知的新思路分析图像，给出基于小波子图的笔划定义，给出一种注重反映字符部分最为重要的笔划的类型、数量、游程、位置特征，改进了基于字符二维图像的统计与结构特征提取方法因变形，畸变造成信息混淆和冗余；给出了提取多属性字符认知特征的方法和识别机制，实验表明，该方法能有效的识别字符； 3
In the ip core ’ s data management , we construct ip data - base tree structure , take the ip function as main search factor , warpping the ip cores having same function in the same xml file , and set up the accessing popedom , avoid the redundancy information , advance the search 在事务级ip核数据管理中,为了高效的搜索ip核,构建了事务级ip库的树型结构,以ip的功能为主要搜索要素,功能相同的ip核被封装在同一个xml文件中,并设立访问权限,避免冗余信息,提高搜索效率,并且实现知识产权保护。
The analysis on the method shows that an advantage of wavelet - based video compression coding is that it offers more graceful image degradation at high compression ratios , and it also eliminates the block artifacts seen in dc compression . and it can solve the contradiction between limited bandwidth and infinitude requirements of increasing customers in present communication system 该系统充分利用人眼的视觉特性来减少帧内和帧间的冗余信息，能够消除传统图像编码的方块效应、蚊子效应等现象实现高压缩比，高质量的图像编码，可较好地解决现行通信系统中有限带宽与日趋增加的无限用户需求之间的矛盾。
For power control of listening users , forward power control method are introduced based on full , multichannel , filtered report , and collision method etc . the full report method has redundancy report information , and its real - time performance is bad , multichannel report is introduced to improve the real - time performance , and filtered report is introduced to eliminate the redundancy information , finally the collision method introduced can not only get higher real - time performance but also diminish the redundancy information ; 2 . in order to meet the requirements of making the dynamic simulation of trunking group system , the ms ’ s random move equation is brought forward , the simulation of ms ’ s distribution is done and the integrated channel model are presented ; 3 . the smart predicative model of power control is introduced to overcome the delay and track the change of the complicated network , with this model , the power control ‘ s performance is greatly improved 全汇报方法存在冗余的汇报信息,而且实时性较差,为了改善实时性提出了多信道的汇报方式,为了改善冗余汇报而提出了筛选法,最后介绍的碰撞法在减少冗余信息的同时又提高了实时性;二、为了集群功率控制动态仿真的需要,提出了移动台的随机运动方程,进行了有关移动台的分布仿真,建立了综合的信道模型;三、希望克服延时和跟踪复杂网络环境变化,提出了功率控制的智能预测模型,通过智能预测模型可以改善功率控制的性能,着重介绍了采用神经网络的方法实现智能预测的通用模型,从而跟踪复杂多变的无线环境,诸如慢衰落及快衰落(包括多径衰落、多普勒效应所引起的衰落)等网络特征,达到预测功率需求;四、采用二级正交码和智能天线(空分多址)的方法进行组内用户的识别,改进功率控制效果;五、话权用户的前向和反向功率控制方法;六、对引入gota的cdma系统提出了复合容量表示方法,并作容量分析,探讨有关gota系统的qos问题。
The basic thought of triangle mesh generation and simplification is to process disperse data points obtained by 3d measurement or the output results from molding software to generate data in a standard and common format , wipe off the redundant information while at the same time by keeping the accuracy of the model to guarantee the real - time graphic visualization , the efficient of data storage and quickness of data transmission this thesis sums up some classical algorithms of surface reconstruction with vast disperse data and several simplification algorithms of triangle mesh 三角形网格生成与简化的基本思想是对从三维测量得到的离散数据或造型软件的输出结果进行处理，形成规范和通用的数据格式，去除冗余信息而又保证模型的准确度，以利于图形显示的实时性、数据存储的经济性和数据传输的快速性。本文在总结了国内外一些经典的由海量离散数据点进行曲面重建的算法和一些三角形网格简化算法的基础上，结合我们使用现有的三维测量仪器的进行采集所得到数据的特点，提出了一种新的曲面重建算法和简化算法。
We study the code model characteristic of videos , analyse the characteristic of mpeg data structure and similarities and differences of forms of avi video . the method which compresses the information of an image and the differences of images is adopted to reach the high compression ratio . mpeg compresses algorithms as the international standard , is supported together by many computer platforms now , have better compatibility than avi video 论文首先简要地介绍了课题背景和当前的研究状况，研究了视频编码模型特点，分析了mpeg - 2数据结构特点和avi视频格式的异同，在同等的视觉质量范围下mpeg - 2采用有损压缩方法减少运动图像中的冗余信息从而达到高压缩比，因此mpeg - 2压缩算法作为国际标准，被许多的计算机平台共同支持，较avi视频具有更好的兼容性。
It imposes some bad impact on video implement over network and imposes many challenges to the traditional nonscalable video coding technology which is not efficient for transmission video over the error - prone . then the scalable video coding technology was proposed , which can provide a rang of bitrate change and its redundant video content compensate the transmission error , but loss coding efficiency 传统的不可分级编码技术已经不能满足视频在这类网络上的传输需要，就提出了可分级编码技术，它能提供一定的位率可变范围，同时因可分级性而带来的冗余信息也在一定程度上补偿了因传输误差而引起的视频内容的损失，但也因此而损失了编码效率。
