markov machine
英
美 ['mɑrkɔf məˈʃiːn]
网络 马尔可夫机
双语例句
- Firstly, road patches are obtained with combining Gaussian Markov random field texture model and support vector machine, and the road axes are obtained and their widths are registered with the thinning operator, and then the road network is connected with the heuristic strategy.
方法的基本过程如下：利用高斯马尔可夫随机场纹理模型与支撑向量机进行图像分类得到道路块，通过细化得到道路轴线并登记宽度信息，然后通过启发式规则进行轴线连接得到道路网。 - Application of Grey Markov Forecasting Model to Machine ′ s Fault Forecast
灰色马尔柯夫链方法在设备故障预测中的应用初探 - Application of principal component analysis and factorial hidden Markov model in machine fault diagnosis
主分量分析和因子隐Markov模型在机械故障诊断中的应用 - A new two-stage method of fingerprint classification is proposed that is based on hidden Markov model ( HMM) and support vector machine ( SVM).
提出了一种利用隐马尔可夫模型（HMM）和支持向量机（SVM）的两级指纹分类新方法。 - Synthetic machine condition diagnosis model based on hidden Markov tree
基于隐Markov树的设备状态综合诊断模型 - Study on Hidden Markov Models for faults diagnosis of rotor machine in the whole run-up process
转子启动过程HMM故障诊断方法研究 - Information system is presented by finite state machine and its state transition map is used to describe analysis process, where the hierarchical structure of system state avoids the problem of enumerating states in Markov chain model.
基于有限状态机描述信息系统，利用系统状态转移图来定义生存性分析过程，而系统状态的层次化结构避免了Markov链模型中的列举系统状态问题。 - A new method based on Discrete Hidden Markov Models ( DHMM) is proposed for dynamic patterns recognition in running-up process of rotary machine.
对于旋转机械启动过程的动态模式，提出了一种基于离散隐马尔可夫模型（DHMM）的旋转机械故障诊断新方法。 - Classifying myoelectric signals using hidden Markov model and support vector machine to process myoelectric signals, with the task of discrimination five classes of multifunction prosthesis movement.
利用隐马尔克夫模型与支持向量机相结合，对站立和行走过程中的下肢表面肌电信号进行分类，用来控制多功能假肢。 - A method for applying statistical observations in passive testing based on finite state machine ( FSM) was introduced. Based on the Markov chain model, a new fault detection algorithm was proposed and a single fault diagnostic was discussed.
通过分析如何将概率统计的思想应用到基于有限状态机的协议被动测试上，在Markov链模型基础上，提出了一种新的被动测试错误检测算法，并给出了与已有算法的比较。 - Extraction of Road Network from High Resolution Remote Sensed Imagery with the Combination of Gaussian Markov Random Field Texture Model and Support Vector Machine
结合高斯马尔可夫随机场纹理模型与支撑向量机在高分辨率遥感图像上提取道路网 - Exacted AR coefficients for the features of temporal vibration signal and used finite states Hidden Markov chain to model changing behavior of rotating machine in running process. Therefore, proposed a new method for faults diagnosis.
把线性AR系数作为暂态振动信号的特征，利用有限状态隐马尔可夫模型（简称HMM）来模拟旋转机械的运行过程中动态行为的变化，从而提出了一种新的故障诊断方法。 - To enhance the diagnosis rate, a hybrid HMM/ SVM ( Hidden Markov Model and Support Vector Machine) model was introduced, which has been proved more effective and more accurate than the two single separate models in simulation experiments.
为了提高故障诊断率，本文引入了基于HMM/SVM的混合模型，通过仿真实验可以证明，混合模型比两个单一模型更有效、更准确。 - Flow-based anomaly detection techniques have, such as domain-based value, statistics, wavelets, Markov and other stochastic processes, and based on machine learning, data mining, and neural network detection techniques.
基于流量异常的检测技巧有很多，比如基于域值、统计、小波、马尔可夫等随机过程和基于机器学习、数据挖掘、神经网络等。 - Co-integration vectors have been considered as feature samplings. Artificial Neutral Net BP, Hidden Markov Model and Support Vector Machine have been employed relatively to train the sampling and recognize different wear stage.
以不同磨损状态的协整向量为特征，分别用人工神经网络BP、隐马尔科夫和支持向量机模型对其进行训练和辨识。 - The first one kindis based on the markov chain, supporting vector machine and machine learning.
第一种是基于马尔可夫链、支持向量机或者是机器学习的。 - Secondly the basic theory and algorithms of the Hidden Markov Model ( HMM) and Support Vector Machine ( SVM) are studied, and a hybrid HMM/ SVM model is established.
其次介绍了隐马尔科夫模型与支持向量机的基本理论和算法，然后建立了HMM/SVM的混合模型。 - MRF ( Markov Random Field) combined local information and spatial information has been widely used in machine vision and image process related area.
马尔可夫随机场因结合局部信息与空间信息的特性，被广泛应用于机器视觉与图像处理相关领域中。