1)dynamic Bayesian network动态贝叶斯网络
1.Study on path planning of UCAV based on dynamic Bayesian network;基于动态贝叶斯网络的无人机路径规划研究
2.In this paper,linking Kalman filter theory,we bring out a new moving target state prediction model based on dynamic Bayesian network and used to shot moving targets.提出基于动态贝叶斯网络推理的火炮攻击敌纵深运动目标状态估计模型。
3.In solving the dynamic uncertainty problem based on dynamic Bayesian networks(DBNs),the efficiency of processing is decided by the inference algorithm.基于动态贝叶斯网络处理动态不确定性问题的过程中推理是非常重要的,而推理算法的优劣决定推理的执行效率;文章在分析联合树性质的基础上提出一种较简单的3/2片联合树算法,该算法不需要限制消去顺序且只作一次扩展;讨论了算法的复杂度,并作了试验比较。
英文短句/例句
1.The Research on Approximate Inference Algorithm for Dynamic Bayesian Networks动态贝叶斯网络的近似推理算法研究
2.Study on Intelligent Autonomous Optimization Mechanisms Based-on Dynamic Bayesian Networks;基于动态贝叶斯网络的智能自主优化机制研究
3.Study on the Threat Assessment in Air Combat based on Discrete Fuzzy Dynamic Bayesian Network基于离散模糊动态贝叶斯网络的空战威胁估计
4.Detection Methods for Expressway Traffic Events Based on Dynamic Bayesian Networks基于动态贝叶斯网络的公路交通事件算法
5.Novel Articulatory Feature based Dynamic Bayesian Network model for speech recognition结合发音特征的动态贝叶斯网络语音识别模型
6.The Application of DBN for Dynamic Optimization Design on Sensor Logic Structure动态贝叶斯网络在传感器逻辑结构动态优化中的应用
7.Information Fusion Based on Dynamic Bayesian Network in the Threat Assessment of the Battlefield;动态贝叶斯网络在战场目标态势威胁评估中的应用
8.Research on Dynamic Bayesian Network Models for Audio-Visual Specch Recognition;基于动态贝叶斯网络的音视频语音识别模型研究
9.Particle Filter for Dynamic Bayesian Networks Inference Based on BK Algorithm动态贝叶斯网络的一种基于BK的粒子滤波推理算法
10.Approach to Human Activity Multi-scale Analysis and Recognition Based on Multi-layer Dynamic Bayesian Network基于多层动态贝叶斯网络的人的行为多尺度分析及识别方法
11.Continuous Speech Recognition for Large Vocabulary Based on Triphone DBN Model基于三音素动态贝叶斯网络模型的大词汇量连续语音识别
12.Research on Radiant Point Identification Based on Discrete Dynamic Bayesian Network基于离散动态贝叶斯网络的辐射源目标识别研究
13.Dynamic Bayesian Network Model Based on Analysis of Samples;基于样本分析的贝叶斯网络动态建模
14.Dynamic Linear Regression Modeling and Real-time Prediction Based on Bayesian Network and Neural Network;基于贝叶斯-神经网络的动态回归建模与预测
15.Bayesian Network Reliability Modeling and Assessment of Momentum Wheel on Orbit动量轮在轨状态可靠性贝叶斯网络建模与评估
16.Research on the Bayesian Networks Methods for Situation Assessment;基于贝叶斯网络的态势估计方法研究
17.Bayesian Networks Construction and Their Applications in Data Mining贝叶斯学习、贝叶斯网络与数据采掘
18.Application Research of Bayesian Networks into Coudition-Based Maintenance System of Hydroelectric Set;贝叶斯网络在水电机组状态检修中的应用研究
相关短句/例句
dynamic Bayesian networks动态贝叶斯网络
1.Dynamic fault tree analysis based on dynamic Bayesian networks;基于动态贝叶斯网络的动态故障树分析
2.Geometric-pattern dynamic Bayesian networks reasoning gene regulatory networks;几何模式动态贝叶斯网络推理基因调控网络
3.The prime task and the content in this article can be concluded as follows:(1) The basic framework of information fusion based on dynamic Bayesian networks was discussed.鉴于贝叶斯网络,尤其是动态贝叶斯网络在处理不确定信息方面的优点,本文重点研究了基于动态贝叶斯网络的目标毁伤等级评估方法及其应用。
3)dynamic bayesian network(DBN)动态贝叶斯网络
1.In view of tracking difficulty of multiple view angles about multi-actors from monocular video,a tracking method based on Dynamic Bayesian Network(DBN) is proposed which operates on monocular gray-scale video imagery.该文提出一种基于动态贝叶斯网络的分类特征联合建模的跟踪方法,将视频中基于时空的运动特征和轮廓特征相复合,采用先粗后精的方法解决由于视觉角度不同而造成的跟踪困难,实现同一场景中多视角下的多人跟踪。
2.To accurately capture the variations of real speech spectra,two single stream Dynamic Bayesian Network(DBN) models based on context-dependent triphone:SS-DBN-TRI model and SS-DBN-TRI-CON model,are proposed for continuous speech recognition.考虑连续语音中的协同发音问题,提出基于词内扩展的单流上下文相关三音素动态贝叶斯网络(SS-DBN-TRI)模型和词间扩展的单流上下文相关三音素DBN(SS-DBN-TRI-CON)模型。
3.A semi-supervised active learning algorithm is proposed to overcome the difficulties in getting sufficient labeled training sample data set during the process of building dynamic Bayesian network(DBN) classification model.本文提出一种基于半监督主动学习的算法,用于解决在建立动态贝叶斯网络(DBN)分类模型时遇到的难以获得大量带有类标注的样本数据集的问题。
4)DBN动态贝叶斯网络
1.Research on DBN-based continuous speech recognition and phoneme segment;基于动态贝叶斯网络的语音识别及音素切分研究
2.An optimal algorithm for dynamic Bayesian networks(DBN) based on Bayesian optimal algorithm(BOA) is developed for learning and constructing DBN structure.针对动态贝叶斯网络(DBN)结构学习问题,提出了一种基于贝叶斯优化(BOA)的DBN结构寻优算法。
3.In the dissertation, autonomous optimization based-on Dynamic Bayesian Networks(DBN)is studied.本文以基于动态贝叶斯网络自主优化为线索,展开动态贝叶斯网络推理算法、平稳系统动态贝叶斯网络结构学习模型及非平稳系统动态网络变结构学习模型设计、动态贝叶斯网络结构寻优算法、进化优化与动态贝叶斯网络混合优化等研究。
5)Mix-state DBN混合动态贝叶斯网络
6)continuous dynamic bayesian network连续动态贝叶斯网络
延伸阅读
贝叶斯公式贝叶斯公式为利用搜集到的信息对原有判断进行修正提供了有效手段。在采样之前,经济主体对各种假设有一个判断(先验概率),设为,{}。关于先验概率的分布,通常可根据经济主体的经验判断确定(当无任何信息时,一般假设各先验概率相同),较复杂精确的可利用包括最大熵技术或边际分布密度以及相互信息原理等方法来确定先验概率分布。当采样得到样本值后,当事人对各假设的判断(后验概率)为 ,= 1, 2, %26#8230;, (5.5) 在实际经济生活中,信息搜寻工作不是一次就完成的。当信息搜寻进行到某一阶段,设已进行了 次采样( =1,2,%26#8230;),此时经济主体对各假设的后验概率的认识为 =1, 2, %26#8230;, (5.6) 其中,表示在第次采样前对假设的判断,当 =1时即表示第一次采样前的先验概率,从而式(5.5)变成式(5.6)的一个特例,即,将其记为。
