markov network 中文意思是什麼
markov network
解釋
馬爾可夫網路-
We do research on the transitions between states of network protocol, the protocol misusage detection model based on markov chain, the framework of the ids technology and protocol anormity after we discuss the current technology. the main research contents of this paper include : research on transitions between states of network protocol and session process, protocol misuage and the anomaly detection model based on markov chain, the research of intrusion detection framework, more accurately model based on the characteristic of the network traffic and so on
在分析了現有入侵檢測系統的基礎上，本文圍繞典型網路協議狀態轉換、基於馬爾可夫鏈的檢測模型、入侵檢測技術框架、以及協議異常等幾個方面展開深入研究，主要工作內容包括:典型網路協議轉換狀態的分析和會話過程的研究;基於馬爾可夫鏈的網路異常檢測模型;分散式的檢測架構;針對網路流量特徵而提出了精確的檢測模型等。 -
Then, the paper present a protocol misusage ids in application layer based on markov chain, and obtain the following results after test : the system can have good effection on detecting the probe packet, dos attack and novelty attack. the system can overcome part of disadvantages in traditional intrusion detection system, and adapt requirements with different network. the experiment shows that the system can improve the detection accuracy rate, reduce the false negatives probability
通過對檢測系統的測試分析，系統對掃描探測報文、 dos攻擊報文和新的攻擊報文等有較好的檢測率。基於馬爾可夫鏈建立的網路異常檢測系統可以克服傳統入侵檢測系統的部分缺陷，能夠適應不同網路環境的要求，同時也有效提高了系統的檢測能力和檢測效率，降低了誤報率。 -
For instance, a new property of network traffic ( self - similarity ) has been observed in diverse networking contexts. some old protocols, policies and evaluate methods which are based on previous markov network model are not suitable for this self - similar traffic. and when tcp data share bandwidth with udp data that is popular for multimedia applications over the internet, it also causes fairness problem
多媒體業務流會給整個網路的性能帶來極大的影響，如：多媒體業務導致網路流自相似現象加重，使網路的原有的markov模型基礎上的協議、策略，及其評價方法不夠準確，導致丟失率上升，網路性能下降；多媒體業務中使用的大量udp包與普通數據流tcp包共存時對公平性的影響等等。 -
This paper presents the reliability analysis of three systems as following by using markov process theory and linear equation theory. ( 1 ) multi - sensor 2 / 3 ( g ) repairable decision - making system ( 2 ) cold standby repairable system of two components with continuous lifetime switch and priority ( 3 ) warm standby repairable system of two components with continuous lifetime switch and priority in this paper, we take an application of multi - sensor fusion in neural network, and set up the mathematic model of 2 / 3 ( g ) repairable decision - making system, which is composed of different components
本文利用馬爾可夫過程理論、線性方程組理論以及laplace變換和laplace逆變換對以下三個系統做了可靠性分析： （ 1 ）多傳感器融合可修2 3 （ g ）表決系統（ 2 ）有優先權的開關壽命連續型兩個不同型部件冷貯備可修系統（ 3 ）有優先權的開關壽命連續型兩個不同型部件溫貯備可修系統多傳感器融合技術是近幾年發展起來的一門新興技術，已廣泛應用於軍事領域，並逐漸在航天、遙感、機械製造技術中得到應用。 -
Elevator configuration based on the markov network queuing model
馬爾可夫網路排隊模型在電梯配置中的應用 -
In the thesis, we select the mel - frequency cepstrum coefficients based on analyzing a lot of parameters of speech signal. mel cepstrum is of better recognition and anti - noise capability. ( 2 ) dynamic time warping, vector quantization, hidden markov model and artificial neural network can be used in speaker recognition
（ 2 ）現有的說話人識別方法有動態時間規整法、矢量量化法、隱馬爾可夫模型和神經網路法等，其中hmm已成為目前最佳的說話人識別處理模型。 -
By utilizing the semi - markov model and the network flow model based on rtp, we can ensure the right operations be done in the correct way. finally, the subjective evaluating method mos ( mean opinion score ) and the objective evaluating method dtw ( dynamic time warping ) has been combined to estimate the speech quality
在控管結果的評測方面，本文引入了主客觀評測相融合的話音質量評測方法，通過將改進的mos主觀話音評測方法和基於動態時間規正（ dynamictimewarping ， dtw ）的客觀話音評測方法相結合，給出了較為準確的評測結果。 -
The probabilistic approaches include the belief network, the dynamic causality diagram, the markov network, the approach used in prospector, etc. the non - probabilistic approaches include the certainty factor theory in mycin, fuzzy set logic, dempster - shafer theory, etc. the non - probabilistic approaches have reached some achievement in their respective application domain, and shown their shortage while applying
另一類是非概率的方法，包括mycin的可信度因子（ certaintyfactor ） 、模糊邏輯（ fuzzylogic ）以及dempster - shafer的證據理論等。非概率的方法雖然在各自的應用領域都取得了一定成果，但在運用過程中人們越來越意識到這類方法的不足。 -
This paper first introduces the aspects of network performance research based on traffic measurement, modeling and analysis and its state - of - the - art, secondly summarizes then the concept, models and analysis tools of self - similar traffic, and analyzes scaling behavior of packet loss with self - similar traffic input by wavelets method, thirdly introduces hidden markov model and its applications on network performance research, and then explores the cross - traffic inferring technology and the disadvantages of existing methods. after that the paper develops a new method for cross - traffic inferring based on delay jitter measurement, proves its correctness by experiments, and applies it to self - similar traffic background and real traffic trace to investigate its availability,
本文首先闡述了基於流量測量與分析的網路性能研究方向和研究現狀，而後介紹了自相似流量的基本概念和相關建模和分析技術，並採用小波分析的方法分析了單路復用網路模型在自相似流量下丟包的尺度特性，其次介紹了隱馬爾可夫模型以及其在網路性能研究中的應用，最後在此基礎上考察了網路流量推斷技術，分析了現有的方法的不足之處，提出了一種新的基於探測流延遲抖動測量的流量推斷測量技術，通過實驗證明了該方法的正確性，然後將其應用到自相似流量背景下考察了其對自相似性的推斷刻畫能力，並且通過實際流量檢驗了其有效性。 -
Experiments are carried out by using the two - state markov network model for scalable image and video coders
然後，利用上下界估計最優的交織器參數，從而避開了求解每一候選交織器參數對應的失真優化解所帶來的耗時大的問題。 -
Thirdly, this paper gives out a method of discovering markov blanket of multi - sets rather singleton, and proves the correctness of the method, afterwards this paper expresses it using bayes network too. finally, aimed at the application of educational evaluation, this paper performs post - processing at those rules mined by apriori algorithm, and filters those rules with the constraints of conditional independences, and reads out conditional independences from rules
面向教育評估系統中的具體應用，本文提出了對原有系統中採用的apriori演算法挖掘的關聯規則進行后處理的方法：採用條件獨立性和傳統支持度- - -可信度框架相結合的方法進行關聯規則的過濾，並從中發現存在的條件獨立性限制。 -
( 4 ) this system includes bp neural network forecasting model based on fuzzy clustering and rough principal factor analysis model, except for some typical mathematics models, for instance, gray - markov chain forecasting model, bp neural network model, avail theory model method, etc. they were used to resolve some actual problem, such as forecasting machine amount, agricultural machine power and prices
選用多種數學方法建立了模型庫，引用具有代表意義的灰色?馬爾柯夫鏈聯合預測方法、人工神經網路預測方法和效用理論決策方法建模，提出基於模糊聚類的人工神經網路預測方法和粗糙集因子分析數學模型，並分別對未來農機需求、農機總動力、農機價格等問題進行了探討和應用分析。 -
One is to learn behavior patterns and to detect anomaly behavior using art1 - - a neural network, and the other is to use markov chain and probability prediction to do the same job
前者採用了art1神經網路模型，後者則應用了概率預報原理，兩種方法相互獨立。然後，分別用計算機模擬驗證了這兩種方法的可行性。 -
Based on internal and external experience of making markov decision of pms, this paper gives the correlative markov decision theories. then along these theories, this paper makes efforts in how to make the markov decision model of network level pms. this paper involves : classifying of pavement state and typical measures, transfer probability, cost model and markov decision model
本文在結合國內外建立路面管理系統markov決策經驗的基礎上，論述了markov決策的相關理論，然後緊密圍繞這些理論，詳細探討了網級路面管理系統markov決策的過程和方法，包括以下幾個方面：路面狀態的劃分、典型養護措施的確定、轉移概率的建立、費用模型和效益模型，最後提出幾種求解方法。 -
Smart bit has been studied in this paper considering the false alarm of conventional bit. the fault diagnosis technique of the markov model and information fusion technique based on the artificial neural network have been discussed. the fault detection tests of lvdt sensor are assessed applying the neural network of bp and art - ii, and the validity is proved by the simulated result
針對常規bit的虛警問題，本文進行了智能bit技術研究，探討了基於馬爾可夫模型的故障診斷技術和基於神經網路的信息融合技術，分別應用bp網路和art - ii型網路對lvdt傳感器進行故障檢測，通過數字模擬驗證了其有效性。
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