马尔可夫链模型
- 网络Markov chain model
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用马尔可夫链模型预测宁南山区旱情
Drought situation in Ningnan Mountainous Region predicted by Markov chain model
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马尔可夫链模型在软件可靠性测试中的应用
Application of Markov Chain Model for Software Reliability Testing
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对MAC层协议建立离散时间的马尔可夫链模型,推导了系统吞吐量表示式。
We build up the MARKOV model for the MAC protocol and then derive the formula of the system throughput .
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基于结构化P2P路由系统的马尔可夫链模型,以平均路径长度为指标,提出了结构化P2P网络路由算法在网络层面的性能量化评估方法。
Based on structured P2P routing system model and Markov-chain model , this paper presents a quantitative evaluation on routing performance on the network-level of structured P2P network .
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次用户在部分感知可用信道的情况下,引入了部分可观察马尔可夫链模型(POMDP)。
Secondary users uses the partially observable markov decision process model under the condition of partially perceiving the available channel .
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本文建立了一个马尔可夫链模型,可以对Chaparral的土地管理和火灾控制策略的优劣进行评估。
This module develops a Markov-chain model that can used to evaluate strategies for chaparral land management and fire control .
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具体的做法是:提取所有支持度大于阈值的系统调用短序列为特征模式,在此基础上建立改进的马尔可夫链模型CPMC。
In this model , the authors extract the short sequence of system calls as a character pattern if this sequence satisfies the certain support degree , and propose an improved Markov Model CPMC on this basis .
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地震迁移的马尔可夫链模型
A homogeneous Markov chains model for characterizing migration of large earthquakes
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年最大洪峰流量预测的马尔可夫链模型
The Markov 's Chain Model to Predict Maximum Annual Peak Discharge
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耕地需求量预测的加权模糊-马尔可夫链模型
Fuzzy-Markov Chain Model with Weights for Prediction of Cultivated Land Demand
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马尔可夫链模型在森林资源预测中的应用
Markovian Chain Model in Application to Predication of Forest Resources
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济南市年降雨量的加权马尔可夫链模型
The weighted Markov chain model of Jinan annual rainfall
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模糊加权马尔可夫链模型及其应用
Model of Fuzzy Weighted Markov Chain and Its Application
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桥梁技术状况预测的灰色马尔可夫链模型研究
GM ( 1,1 ) - Markov Model for Prediction of Bridge Technical Condition
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战斗平台火力运用马尔可夫链模型
Markov chain model for combat platform fire application
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基于不同邻域系统的马尔可夫链模型的储层岩相随机模拟
Stochastic Simulation of Reservoir Lithofacies Based on Markov Chain Models with Different Neighborhood Systems
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随机挽回率马尔可夫链模型下信用差价衍生品定价
The Valuation of Credit Spread Option under a Random Recovery Rate of Markov Chain Model
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随后提出了灰色马尔可夫链模型。
Then gray Markov model is described .
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对群体认知建立了一个马尔可夫链模型,并利用马尔可夫链理论讨论了一些群体现象的性质。
Based on Markov chains theory , some results related to collective cognition are discussed .
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讨论了马尔可夫链模型在随机程序测试中的应用。
The application of Markov train model in random program testing is discussed in this paper .
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在此基础上,以不定长模式作为基本单位构建了一个马尔可夫链模型来检测进程的异常行为。
Then a Markov chain model is constructed based on variable-length patterns to detect abnormal behaviors .
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群体认知的马尔可夫链模型
Markov Chains Models for Collective Cognition
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利用齐次离散时间马尔可夫链模型描述了大地震沿一条活动断裂带的迁移过程。
A homogeneous discrete-time Markov chains model is used to characterize migration of large earthquakes along an active fault zone .
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对于一个连锁群中的最优排序,采用隐马尔可夫链模型的方法进行多位点的连锁分析。
For the best order in a linkage group , the Hidden Markov Chain Model was used for multilocus linkage analysis .
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该论文为研究人才市场的供需关系变化情况以及预测人才市场的行情走势提供了一种新的思路,其结果表示:利用马尔可夫链模型预测人才市场行情是可行而有效的。
The purpose of this thesis is to offer a new thought for forecasting the trend of supply-demand relation of talent markets .
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随后,对不同邻域系统的马尔可夫链模型采用蒙特卡罗抽样方法进行了储层岩相随机模拟试验。
Furthermore , Monte Carlo sampling method is used to simulate reservoir lithofacies , based on different neighborhood systems of Markov chain models .
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通过对跟踪的第一帧视频中的人体区域进行手工标注,建立马尔可夫链模型。
Markov chain model is built at first by marking manually the area of human body to be tracked at the first frame of video .
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通过马尔可夫链模型来模拟系统的可靠性,可以得出系统冗余开销与可靠的系统规模之间的关系。
By formulating the system ′ s reliability as a Markov chain model , the relation between the redundancy overhead and the system size was obtained .
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本文应用具有周期性转移率的连续时间有限状态马尔可夫链模型[1],对一个长距离输电系统的可靠性进行了研究。
This paper presents a reliability calculation for a long distance transmission power system by a continuous-time Markov Chains with periodic transition rates [ 1 ] .
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在时间序列预测方面,马尔可夫链模型是占有重要地位的一种预测理论,具有较高的科学性、适应性及准确性。
In the fields of time series prediction , the Markov chain model occupies an important position , with a high scientific , adaptability and accuracy .