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A Bayesian network (BN) is a compact representation for probabilistic models and inference. They have been used successfully for many military and civilian applications. It is well known that, in general, the inference algorithms to compute the exact a posterior probability of a target node given observed evidence are either computationally infeasible for dense networks or impossible for general hybrid networks. In those cases, one either computes the approximate results using stochastic simulation methods or approximates the model using discretization or a Gaussian mixture model before applying an exact inference algorithm. This paper combines the concept of simulation and model approximation to propose an efficient algorithm for those cases. The main contribution here is a unified treatment of arbitrary (nonlinear non-Gaussian) hybrid (discrete and continuous) BN inference having both computation and accuracy scalability. The key idea is to precompile the high-dimensional hybrid distribution using a hypercube representation and apply it for both static and dynamic BN inference. Since the inference process essentially becomes a combination of table look-up and some simple operations, the method is shown to be extremely efficient. It can also he scaled to achieve any desirable accuracy given sufficient preprocessing time and memory for the cases where exact inference is not possible 相似文献
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Performance evaluation for MAP state estimate fusion 总被引:1,自引:0,他引:1
Chang K.C. Zhi Tian Mori S. 《IEEE transactions on aerospace and electronic systems》2004,40(2):706-714
This paper presents a quantitative performance evaluation method for the maximum a posteriori (MAP) state estimate fusion algorithm. Under ideal conditions where data association is assumed to be perfect, it has been shown that the MAP or best linear unbiased estimate (BLUE) fusion formula provides the best linear minimum mean squared estimate (LMMSE) given local estimates under the linear Gaussian assumption for a static system. However, for a dynamic system where fusion is recursively performed by the fusion center on local estimates generated from local measurements, it is not obvious how the MAP algorithm will perform. In the past, several performance evaluation methods have been proposed for various fusion algorithms, including simple convex combination, cross-covariance combination, information matrix, and MAP fusion. However, not much has been done to quantify the steady state behavior of these fusion methods for a dynamic system. The goal of this work is to present analytical fusion performance results for MAP state estimate fusion without extensive Monte Carlo simulations, using an approach developed for steady state performance evaluation for track fusion. Two different communication strategies are considered: fusion with and without feedback to the sensors. Analytic curves for the steady state performance of the fusion algorithm for various communication patterns are presented under different operating conditions. 相似文献
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桂林航专公关文秘专业在实习实训教学方面做得是比较成功的,论文从构建学生整体实践能力培养目标体系、"双师"型教师队伍建设、校内实习实训基地建设、校企合作四个方面进行研究分析。 相似文献
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Tsai-Fu Wu Chh-Lung Shen Chien-Hsuan Chang Jeiyang Chiu 《IEEE transactions on aerospace and electronic systems》2003,39(2):635-646
This paper presents a single-phase three-wire (1/spl phi/ 3W) grid-connection photovoltaic (PV) power inverter with a of partial active power filter (PAPF) feature, which can not only deal with PV power but filter current harmonics and improve power factor. Once the processed power exceeds the switch ratings, the inverter can reduce its output reactive power and harmonic power, while still supplying the maximum real power generated by the PV arrays. In the derivation of control laws, a limit circle is defined to confine the output power of the inverter. To determine the power that the inverter can process, the instantaneous reactive power of a 1/spl phi/ 3W system is defined and used to calculate reactive power, which can avoid complex detections of phase angle and magnitude of the fundamental component of a nonlinear load current. Simulation results and experimental measurements have verified the proposed algorithm and the feasibility of the inverter. 相似文献
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掠海飞行导弹击水概率的仿真研究 总被引:9,自引:0,他引:9
本文对掠海导弹的击水概率问题进行了研究,提出了用均匀设计、Monte—Carlo法和逐步回归法建立击水概率预报公式的仿真方法,并结合某型号的反舰导弹进行计算,得到了满意的结果。本文还利用表观频率和表观频谱的概念,建立起飞航导弹的背景干扰——海浪和阵风的数学模型,并用波叠加法进行了数字仿真。 相似文献
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本文讨论了应用泰勒中值定理研究函数时,如何合理选择展开点的问题,概括了以下三种方法。1、选择已知条件最多的点展开。2、选择问题所要讨论的点展开。3、选择极值点处展开。 相似文献
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基于Poisson模型的湍流退化图像多帧迭代复原算法 总被引:4,自引:0,他引:4
随着航天空间技术的发展,空中目标的成像探测研究越来越重要。受大气湍流的干扰,观测到的目标图像是严重模糊的。为了从观察到的多帧含噪的湍流退化图像中将目标原图像有效地恢复出来,本文提出了一种新颖的基于图像统计模型的图像复原算法。跟据图像Poisson概率模型建立了有关多帧图像数据的对数似然函数,通过极大化该对数似然函数,推导出了目标图像及各帧图像点扩展函数的迭代求解关系。同时。将点扩展函数的支持域等先验条件有效地加入到迭代计算过程中,以便快速地利用迭代技术将目标图像和各帧点扩展函数估计出来。该算法能用少数帧图像极大程度地恢复出目标图像。为了验证本文算法的恢复效果和可靠性,对在强噪声污染条件下的湍流退化图像进行了恢复实验,实验结果表明本文算法对空中目标湍流退化图像的复原是非常有效的。 相似文献
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