In this paper , the methods of reliability and maintainability index verification for weapon system with small sample size are studied , which is under the ground of the project named reliability and maintainability index verification method based on multi - source prior information 本文从工程的角度出发,以“基于多源验前信息的可靠性与维修性指标验证方法研究”课题为背景,对小子样条件下武器装备的可靠性与维修性指标验证方法进行了深入研究。
For a general linear model ( input matrix is deterministic ) , under a certain conditions on variance matrix invertibility , the two estimates can be identical provided that they have the same priori information on the parameter under estimation . even if the above information is unknown only for the optimally weighted ls estimate , the sufficient condition and necessary condition , under which the two estimates are identical , is derived . more significantly , we know how to design input of the linear system to make the performance of the optimally weighted ls estimation identical to that of the linear minimum variance estimation in case of being lack of prior information 在一般线性模型(即输入矩阵为确定性)下,当两种估计都利用有关被估参数的先验信息时,二者在方差阵可逆的一定条件下可达到一致;当最优加权最小二乘估计不利用此先验信息时,存在二者一致的充分条件和必要条件,进而找到一种设计输入矩阵的方法,使得在先验信息缺乏的条件下,仍可利用最优加权最小二乘估计达到与线性最小方差估计一样优越的估计性能。
The emphasis of bayesian approach is how to obtain and use the prior information , especially , the simulation information . the modeling methods and technical approach of creating the virtual samples are partly discussed and the methods of programming are given . it ' s very important for the prior information to have a consistence test Bayes方法重点是关于验前信息的获取和利用问题,尤其是对仿真信息的获取和利用,文中对仿真虚拟样本的建模方法和技术途径作了部分讨论,并给出软件实现的具体方法。
Comparing with non - bnyain methods , it ' s prominent featares lay in that it combines the prior and posterior information , which avoids the disadvantag of subjective bias caused by simply using the prior information only , of blind search caused by the incomplete sample information , of noise affection caused by simply using the sample information only if we choice a suitable priof , we can conduct the bayesian leaming effectively , so it fits the problems of data mining and machine leaming that possess charaters of probability and statistics , especially when the samples are rare 与非贝叶扬方法相比,贝叶斯方法的特出特点是其学习机制可以综合先验信息和后验信息,既可避免只使用先验信息可能带来的主观偏见,和缺乏样本信息时的大量盲目搜索与计算,也可避免只使用样本信息带来的噪音的影响只要合理地确定先验,就可以进行有效的学习。因此,适用于具有概率统计特征的数据采掘和机器学习(或发现)问题,尤其是样本难得的问题
Bn is a directed acyclic graph with network structure , which is intuitionistic and easy understanding . it can handle multi - information expression , data fusion and bi - directional parallel reasoning . the ability to colligate the prior information and the current information makes the inference much more accurate and believable 贝叶斯网络是一种基于网络结构的有向图解描述,具有多源信息一致表达与信息融合能力,能进行双向并行推理,并能综合先验信息和样本信息,使推理结果更为准确可信。
Based on the theory of inverse analysis in mechanics and engineering and combined with the concrete gravity dam of manwan hydro power plant , a back - analysis model including the prior information was built and artificial neural network ( ann ) , according to which powerful nonlinear mapping ability , was used to predict the future physical parameters of the concrete 在此基础上,以大规模有限元分析软件ansys为平台,二次开发了漫湾水电站砼重力坝运行状态分析系统,根据大坝运行监测资料,对该电站大坝进行了砼力学参数反分析、砼力学参数预测分析以及大坝运行状态分析。
Broadband source location method is investigated by using signal - phase - matching principle , and simulations and experiments are carried out to show the validity of the method ; two high resolution algorithms of broadband signals are proposed , which are the dft interpolation algorithm and the frequency invariant beam space algorithm . the proposed algorithms have no requirement for prior information of source locations , so the results of doa estimation can be unbiased ; a method of temporal - spatial averaging , which can improve the performance of doa estimation for uniform linear arrays , is given . this method can be applied in the most narrowband or broadband eigen - structure based high resolution algorithms 提出了利用信号相位匹配法的宽带信号方位估计方法并从仿真和实验两方面对其进行了验证;提出了基于dft插值的和基于频率不变响应波束域的两种宽带信号高分辨方位估计算法,这两种方法在进行方位估计时均不需要进行方位预估,从而避免了因角度预估可能带来的估计偏差;最后提出了一种提高均匀线列阵方位估计性能的时空平均法,该方法可适用于多数窄带或宽带的特征结构类高分辨方位估计算法中。
Besides , in case that the prior information about channel environment is unknown , in order to fuse location results obtained by different location algorithms to get more accurate and reliable location results , two location fusion methods which depend on the location results weighted by location distance residual are proposed , the feasibility of this algorithm fusion methods are demonstrated by simulation under two environment conditions 此外,还提出了两种通过定位距离残差对定位结果进行加权的算法融合方法,以期在信道环境先验信息未知时通过对不同算法定位结果的融合,取得更准确可靠的定位结果;通过对两种环境条件下的仿真,验证了这两种算法融合方法的可行性。
Bn is a directed acyclic graph with network structure , which is intuitionistic and easy understanding . it can handle multi - information expression , data fusion and bi - directional parallel reasoning . the ability to colligate the prior information and the current information makes the inference much more accurate and believable 贝叶斯网络是一种基于网络结构的有向图解描述,具有多源信息一致表达与信息融合能力,能进行双向并行推理,并能综合先验信息和样本信息,使推理结果更为准确可信。
That ’ s why decision - making methodologies are endlessly emerged . among madm methodologies , rough set theory has played a significantly important role . the concept of rough set , announced by polish mathematician pawlak since 80s in 20 ~ ( th ) century , has been attracting researchers ’ attention , which embodies the virtues of needing no prior information besides the set itself in dealing with the problems 在这些方法中,粗糙集理论显示了它无比强大的功用,自从20世纪80年代,波兰教授pawlak引入粗糙集的概念之后,它以自身无需提供了除问题所需的数据集合之外的任何先验信息,而倍受各国研究工作者的青睐。