马尔可夫参数自适应,adaptive Markov parameter
1)adaptive Markov parameter马尔可夫参数自适应
1.Innovation Filter Interacting Multiple Model(IFIMM) withadaptive Markov parameter based on UKF algorithm is presented in this paper,which can effectively deal with maneuvering target tracking problems in practice.给出了一种基于不敏卡尔曼滤波(UKF)的马尔可夫参数自适应的新息滤波器交互式多模型算法,较好地解决了非线性条件下机动目标跟踪的问题,可获得比基于扩展卡尔曼滤波的交互式多模型(IMM)算法和基于UKF的IMM算法更好的稳定性和计算精度,还避免了复杂的Jacobi矩阵运算;该算法结合了马尔可夫参数自适应和新息滤波器技术,实现了马尔可夫转移矩阵的自适应和量测噪声的减小。
英文短句/例句
1.Innovation Filter Interacting Multiple Model with Adaptive Markov Parameter Based on UKF Algorithm基于UKF的马尔可夫参数自适应IFIMM算法
2.New Achievements in Adaptive Markov Decision Process;马尔可夫决策过程自适应决策的进展
3.Adaptive Online Retail Web Site Based on Hidden Markov Model;基于隐马尔可夫模型的在线零售站点的自适应
4.Polarimetric SAR Image Segmentation by an Adaptive Neighborhood Markov Random Field采用自适应邻域马尔可夫场的极化SAR图像分割
5.Research of HMM-based adaptive Web site基于隐马尔可夫模型的自适应站点的研究
6.Hidden Markov Model Parameters Estimation for Part-of-Speech Tagging;应用于词性标注的隐马尔可夫模型参数评估
7.Parametric Estimate of Wavelet Transformation on Hidden Markov Processes;隐马尔可夫过程小波变换的参数估计
8.Applications of Markov Chain Monte Carlo(MCMC) Methods in Estimating IRT Model Parameters;“马尔可夫链蒙特卡洛”(MCMC)方法在估计IRT模型参数中的应用
9.Reliability of fault tolerant control system with Markovian parameters带马尔可夫参数容错控制系统的可靠性分析
10.Noise smoothing in learning the parameters of decomposable Markov networks可分解马尔可夫网络参数学习中的噪声平滑
11.Markov computable function马尔可夫可计算函数
12.Selection of the Order and the Degrees of Smoothing for Non-parametric Ordered Hidden Markov Models对于非参数隐马尔可夫模型的平滑度选取
13.Markov autoregressive scheme马尔可夫自回归型式
14.Hidden Markov Models and Its Application to Natural Language Process隐马尔可夫模型及其在自然语言处理中的应用
15.Application of Grey-Markov Model on the Prediction of Housing Price Index;灰色马尔可夫模型在房价指数预测中的应用
16.discrete parameter stationary Markov chai离散参数平稳马尔科夫链
WORK TRAFFIC PREDICTION ALGORITHM BASED ON ADAPTIVE FILTER METHOD AND MARKOV CHAIN基于自适应过滤法和马尔柯夫链的网络流量预测方法
18.Wavelet Transformation for Nonparametric Estimation of HMM s;小波变换在隐马尔科夫模型非参数估计中的应用
相关短句/例句
self-adaptive hidden Markov model自适应隐马尔可夫模型
3)Markov parameter马尔可夫参数
1.By the optimal sequence, the optimalMarkov parameters for the closed loop system can be achieved which bring out the optimal closed loop poles.由最优误差序列得到闭环系统的马尔可夫参数 ,从而求取最优闭环极点 ,然后 ,应用一般的极点配置方法解出最优反馈矩阵 。
2.By means ofthe batch-form or closed form of Riccati Eqation,the data-based LQG Controller directly using Markov Parameters of the system is derived.该算法利用Riccati方程的闭合解,由系统的马尔可夫参数直接求得最优控制信号。
4)Markovian jumping parameters马尔可夫跳跃参数
1.Global exponential stability for static neural network models with time-varying delays andMarkovian jumping parameters;具有马尔可夫跳跃参数的变时滞静态神经网络的全局指数稳定性
5)discrete parameter Markov chain离散参数马尔可夫链
6)continuous parameter Markov chain连续参数马尔可夫链
延伸阅读
马尔可夫链模型见数理社会学。
