The markov model is applied to analyze the influence of fault detection coverage and diagnosis success rate for system availability.
通过建立马尔科夫模型，分析了双机系统的可用性，研究了故障检测覆盖率和故障诊断成功率对系统可用性的影响。
At last, maximum entropy markov model is used to model the gait sequences of each people and implements recognition based on probability graph.
最后使用最大熵马尔可夫模型对各个人的步态进行建模，完成了基于概率图的识别。
To address the problem above, the speech recognition system has been built on the basis of HTK as well as hidden markov model theory.
针对上述问题，结合隐马尔可夫模型原理，在HTK语音处理工具箱的基础上构建了中英文特定词语音识别系统。
And the error bound of the simplified Markov model is mainly discussed.
并且对该简化方法的误差界限进行了讨论。
Now a method for analyzing the safety of CBTC by Markov model is provided.
笔者给出一种利用马尔可夫模型分析CBTC安全性的方法。
Dynamic fault tree combines the advantages of both fault tree and Markov model.
动态故障树分析方法综合了故障树分析方法和马尔可夫模型两者的优点。
Dynamic fault tree exploits the relative advantages of both fault tree and Markov model.
动态故障树分析方法综合了传统故障树分析方法和马尔可夫模型两者的优点。
This paper focuses on the research of image recognition based on the hidden Markov model.
本文基于隐马尔可夫模型进行图像识别问题的研究。
A new algorithm based on hidden Markov Model is proposed for text information extraction.
提出了一种基于隐马尔可夫模型的文本信息抽取算法。
We analyze the throughput and medium access delay performance of DCF scheme by Markov model.
引用马尔可夫分析模型对DCF的吞吐量和介质访问延时进行了分析。
A hidden Markov model method (HMM) is used to recognize face in our automated recognition system.
人脸识别方面，本文对在人脸识别中广泛应用的隐马尔可夫模型(HMM)的原理进行了介绍。
Decreases decoder and demodulator selection error using a Hidden-Markov Model (HMM) in this paper.
本论文采用隐马尔可夫模型(HMM)来减小解码与解调选择错误。
A baseline system of keyword spotting based on Continue Hidden Markov Model (CHMM) is constructed.
基于连续隐马尔可夫模型(CHMM)框架的非特定人关键词识别基线系统的构建。
This paper describes a method of Uigur part-of-speech tagging with third-order Hidden Markov Model.
本文提出了将三阶隐马尔可夫模型运用到维吾尔语词性标注中的方法。
So, it is practical to use the sequential clustering and Markov model to forecast the river runoff .
这说明运用马尔可夫模型进行河径流量的丰枯状态预报是有效可行的。
Then after word segmentation, we introduced Hidden Markov Model to identify most of musical entities.
然后，在分词之后引入隐马尔科夫模型来识别大部分音乐实体。
Grey Markov model is a random predicting model, being used widely in the social and economical prediction.
灰色马尔柯夫模型是一种随机预测模型，被广泛的应用于社会、经济的预测中。
A new method of VHF channel access protocol analysis based on semi-Markov model is presented in this paper.
本文提出了一种基于半马尔可夫模型的VHF信道访问协议分析方法。
In some cases, the substrate of methylation can be inferred from hidden Markov model sequence similarity networks.
在某些情况下，甲基化的酶作用物能够从隐马尔科夫模型序列相似性网络中被推断。
This paper proposes a Layered Hidden Markov Model (LHMM) and entropy method to detect a gathering event in real-time.
提出一种结合分层隐马尔科夫模型(LHMM)与熵值的聚众事件实时检测方法。
A new gear fault detection and diagnosis scheme based on Hidden Markov Model (HMM) of vibration signals is introduced.
介绍了一种基于振动信号隐马尔可夫模型(HMM)的新的齿轮故障检测和诊断方案。
In studying of a class of random neural network, some of relative researchers have proposed Markov model of neural network.
在一类随机神经网络的研究中，一些研究人员提出马尔科夫神经网络模型。
The average distinguish rate of using the purely Markov Model was 84.33%, however the improved system had the rate of 85.17%.
单纯使用马尔可夫模型平均分类正确度为84.33％，改进后平均分类正确度为85.17％。
In this paper, a Markov model of finite fuzzy neuronal assembly activity is presented, and Poisson approximation is considered.
本文给出了有限论域上模糊神经元集团活动的马尔克夫模型，并给出了泊松近似模型。
The context-aware activity computing based on hidden Markov model was proposed to predict the activity of mobile user in a smart space.
为了推理移动用户在智能空间的活动，提出了基于隐马尔科夫模型的上下文感知活动计算。
Grey Markov Model for forecasting net income is presented by means of combining Grey system theory with dispersed Markov Chains theory.
将灰色理论和离散状态的马尔可夫链相结合，用灰色马尔可夫链对农村居民人均纯收入进行实证研究。
METHOD: the principle of Markov model was expounded and its application in the forecasting of drug market was illustrated with examples.
方法：阐述马尔科夫模型的原理，通过实例说明其在药品经济预测中的应用。
METHOD: the principle of Markov model was expounded and its application in the forecasting of drug market was illustrated with examples.
方法：阐述马尔科夫模型的原理，通过实例说明其在药品经济预测中的应用。
应用推荐