This dissertation discusses and studies to surround the knowledge representation, learning, reasoning, and the main contents include : at the first chapter, some familiar uncertain knowledge representation and reasoning and the difficulties of them : evidential theory, certainty factor, fuzzy logic and fuzzy reasoning, subjective bayesian method, belief network are introduced . we present the basic knowledge, primary reasoning algorithm, complexity of reasoning algorithm, the way of dealing with some problem of causality diagram relative and the research direction in causality diagram theory particular at the second chapter 论文围绕着因果图的知识表达、学习、推理进行了讨论和研究,主要内容包括:在扼要介绍了一些比较常见的不确定性知识的表示和推理方法:证据理论、确定性因子、模糊逻辑与模糊推理、主观bayes方法、信度网的基本知识之后,比较详细地阐述了因果图的知识表达,主要的推理算法、计算复杂度以及对一些问题的处理方式方法。
At last, it can obtain the posterior probability distibution of each unlabelled classes by analysing these stochastic data . it is easy to get a stochastic sample that satisfies some special distribution through running a special markov chain, so mcmc ( markov chain monte carlo ) is the most common monte carlo bayesian method 运行一个特定的马尔可夫链可以容易地获得满足某个特定分布的随机抽样,所以马尔可夫链蒙特卡罗(mcmc)是最常用的蒙特卡罗贝叶斯分类方法。
Firstly, we directly use the motion vectors of macro-blocks defined in mpeg-i / ii compressing standards and filter the immobile macro-blocks . then, we build a skin color model in ycbcr color space using the convergent property of skin color, and we present the gaussian model skin recognition method and positive-negative look-up table method in details . and we analyze the texture of skin after wavelet transform and present a bayesian method based texture recognition method and a high texture filtering method 根据皮肤的运动性,首先直接利用mpeg-中的压缩标准中有关宏块运动预测的方法,提取宏块的运动矢量,将没有运动的宏块过滤掉;然后,利用皮肤颜色的聚合性,在ycbcr颜色空间建立了皮肤的颜色模型,并分别阐述了基于高斯分布模型的皮肤检测法和正反概率表方法;最后,通过对皮肤进行小波变换后的纹理进行统计后,发现有效的利用皮肤纹理特征,可以比较有效的过滤掉那些具有类似于皮肤颜色的背景,分别阐述了基于贝叶斯方法的纹理检测方法和高纹理过滤法。
According to the re-attacking property of the drone using the method of zero times sample test, the loss of the drone in flight test is decreased . after the data of hitting point is gotten in test, the bayesian method, which is based on the data of the test and the information of the simulation before the test, is used to analysize the precision guidance 对飞行试验的靶试结果的分析,采用了两种方法:零次靶试和小子样靶试,零次靶试利用了无人机可拉起后进行重复攻击的特性,以减少试验损失,在得到落点数据后,运用bayes方法对落点信息和仿真信息进行分析,获得其制导精度。
According to the dominant characteristics of test analysis and assessment in small sample circumstance, the bayesian method in small sample statistical inference and fusion theory is adopted as an important and suitable approach . the main research work includes bayesian multi-information fusion using credibility and data fusion of different environments in this dissertation 本论文针对当前小子样试验分析与评估的特点,以bayes方法为小子样统计推断与融合理论的研究主线,重点研究了基于可信度的bayes多源信息融合方法以及不同环境下试验数据的融合方法。