An algorithm for detecting moving ir point target in complex background is proposed , which is based on the reverse phase feature of neighborhood ( rpfn ) of target in difference between neighbor frame images that two positions of the target in the difference image are near and the gray values of them are close to in absolute value but with inverse sign . firstly , pairs of points with rpfn are detected in the difference image between neighbor frame images , with which a virtual vector graph is made , and then the moving point target can be detected by the vectors ' sequence cumulated in vector graphs . in addition , a theorem for the convergence of detection of target contrail by this algorithm is given and proved so as to afford a solid guarantee for practical applications of the algorithm proposed in this paper . finally , some simulation results with 1000 frames from 10 typical images in complex background show that moving point targets with snr not lower than 1 . 5 can be detected effectively 基于运动点目标在邻帧差分图像中所具有的近邻反相特征,即运动点目标的两个位置相邻近、灰度值一正一负,提出一种在复杂背景下,基于红外序列图像的运动点目标检测算法.本算法利用该特征在邻帧差分图像中检测反相点对,进而构造反相点对矢量图,最后依据累积反相点对矢量图中多矢量首位相接的连续性检测出运动的点目标.文中给出并证明应用本算法能以概率1检测到运动点目标的收敛性定理.对典型复杂背景下10幅1000帧图像的仿真结果表明,当信噪比大于或等于1 . 5时,可以有效检测出运动点目标
Therefore , the author gives an overall analysis and discussion on philosophy of constructive postmodernism represented by david griffin from three aspects : the legality of the existence of philosophy ; the transformation of philosophic methodology and the philosophic values , which may contribute to our research on this significant philosophic trend 为此，本文从哲学存在的合法性、哲学方法论的变革和哲学价值观三个层面，对当今西方以大卫?格里芬为代表的建设性后现代主义哲学观作了全面的分析和探讨，以利我们更好地把握和研究这一正处于发展过程中的重要的哲学思潮。
It is proved that strong countable compact set is a strong fuzzy paracompact if and only if it is a strong fuzzy compact , strong fuzzy compact set and fuzzy unit interval are strong fuzzy paracompact , the product of a strong fuzzy compact set and a strong paracompact set is strong fuzzy paracompact , a strong t2strong fuzzy paracompact space is strong 5 - regular and strong s - normal , a strong 5 - regula 证明了每个强fuzzy紧集和fuzzy单位区间i厂）都是强fumy仿紧的；强fuzzy紧集和强fuzzy仿紧集的乘积是强fuzzy仿紧集；强tz的强fuzzy仿紧空间是强s “一正则的；强tz的强fuz 。
I uz hungry , but i warn t afeard ; bekase i knowed ole missus en de widder wuz goin to start to de campmeet n right arter breakfas en be gone all day , en dey knows i goes off wid de cattle bout daylight , so dey wouldn spec to see me roun de place , en so dey wouldn miss me tell arter dark in de evenin 因为我清楚，老小姐和寡妇一吃过早饭便去参加野营会，要去一正整天。她们知道我白天要伺候生牲口，因此她们在那里不会看到我。在天黑以前，她们不会想到找我。
One of the important prerequisites for nn to approximate the nonlinear function f ( x ) is the states x of the system should be in a compact set . therefore , the unkown unlinear systems can be expressed by nn and a model error e ( x ) , and there exists a positive constant 6 such that e ( x ) < 8 . so the problem can be incorporated into robust adaptive control 神经网络可以逼近非线性函数f ( x )的一个重要前提是x必须落入某一紧集s中，因此在一紧集u上，未知的非线性系统就可以用神经网络及一建模误差项( x )表示出来，且存在一正的常数，使得( x ) ，从而这一问题可以归结到鲁棒自适应控制中。
