ID 原文 译文
50817 提出一种贝叶斯网络增强型交互式多模型(interactive multiple model filter based on Bayesian network，BN-IMM)滤波算法。 in this paper, a Bayesian network enhanced interactive multiple model (interactive multiple model filter -based on Bayesian network, BN - IMM) filtering algorithm.
50818 该算法在多模型估计基础上，引入特征变量，并根据变量与系统模型之间存在的因果关系建立贝叶斯网络; The algorithm based on multiple model estimation, the introduction of characteristic variables, and according to the causal relationship between variables and system model are established the Bayesian network;
50819 利用贝叶斯网络参数修正多模型估计中的模型切换概率， Using Bayesian network parameter correction model to estimate the model switching probability,
50820 能够降低多模型算法中真实模式识别对先验知识的依赖性。 can reduce the real pattern recognition in the multiple model algorithm for the dependence of the prior knowledge.
50821 该算法能够解决交互式多模型(interactive multiple model，IMM)算法中模型转换存在滞后、模型概率易发生跳变等问题，增强多模型算法的自适应能力。 This algorithm can solve the interactive multiple model (interactive multiple model, the IMM) algorithm of model transformation is lagged, prone to jump model probability problems, enhance the multiple model adaptive ability of the algorithm.
50822 以陀螺和加速度计的输出作为特征变量建立贝叶斯网络，对AUV组合导航系统进行仿真， Gyroscope and accelerometer output as characteristic variables to establish the Bayesian network, the AUV integrated navigation system,
50823 结果表明所提出的BN-IMM算法相比于传统的IMM算法能够显著提高机动状态时模型转换速度和估计精度。 the simulation results show that the proposed BN - IMM algorithm compared to the traditional IMM algorithm can significantly improve the maneuvering state model transformation estimation precision and speed of students.
50824 为了有效提升舰载机多机机务保障的效率和保障人员的利用率， In order to effectively improve the efficiency of carrier-borne machine more confidence guarantee and security personnel utilization,
50825 based on the characteristics of single machine guarantee system,
50826 根据单机机务保障流程约束特性，建立了基于多计划评审技术网络的多目标多机一体化机务保障调度模型。 its flow constraints are established based on network plan review technology of integration of multiple target machine maintenance scheduling model.