概率型網路 的英文怎麼說

中文拼音 [gàilǜxíngwǎnglù]
概率型網路 英文
probabilistic network
  • 概 : Ⅰ名詞1 （大略） general outline 2 （神氣） manner of carrying and conducting oneself; deportment ...
  • 率 : 率名詞（比值） rate; ratio; proportion
  • 網 : Ⅰ名詞1 （捕魚捉鳥的器具） net 2 （像網的東西） thing which looks like a net 3 （像網一樣的組織或...
  • 路 : 1 （道路） road; way; path 2 （路程） journey; distance 3 （途徑; 門路） way; means 4 （條理） se...
  • 概率 : [數學] probability; chance概率論 probability theory; theory of chances; 概率曲線 probability curv...
  • 網路 : 1. [電學] network; electric network2. （網） meshwork; system; graph （指一維復形）; mesh
  1. The fug model, sfg model and statistical probability model are set up. fug model uses the complex feature set. sfg model stresses the selection of character net. while probability model bases on corpus

    Fug模型採用復雜特徵集和合一運算來生成句子； sfg模型強調特徵網路的選擇來生成句子；概率模型依據大量的訓練語料來生成文本。
  2. At last, this thesis figures out an event - based method of air threat assessment through the definitions of the events, the modeling accompanied with xml description of the model, the introduction of the functional architecture model of event correlation, the type of event correlation and the expressions of the theory of this technique, the event deleting and contracting on the data facet, the correlation between the events in causality by bayesian network and the probability reasoning, exemplifying and calculating of bayesian network employed in the construction of threat assessment model of air battle

    最後提出了一種基於事件的空戰威脅估計方法。對事件進行了定義、建模並用xml語言進行了數據描述;介紹了事件關聯功能結構模型;介紹了事件關聯類型及知識表達方式，從數據層進行了事件清理和壓縮，使用貝葉斯網路對因果事件進行關聯，建立了空戰威脅估計貝葉斯網模型、進行了貝葉斯概率推理及算例分析。
  3. It is found that the existence of a maximum in the snr is the identifying characteristic of the sr phenomenon. " the main - unexpected - - novelty is the dependence of the effect on initial condition. " ( report of the phys. rev. e referee ) the coherence resonance ( cr ) and the stochastic resonance ( sr ) phenomenon in a globally coupled fitzhugh - nagumo neurons model are studied

    Ohyreve審稿人語）在對fhn神經模型的共振現象研究中，我們考慮一個存在耦合的多個神經細胞相互作用的神經網路，利用平均場理論和概率躍遷理論，得到了神經系統在無信號和有周期性信號的兩種倩況下的靜息電位。
  4. In the first part, i held the opinion that there are five main elements in software modeling : homostasis and isomorphic mapping, leveling, extension, priority of the big probability thing and efficiency. i brought forward my own modeling and development model, homostasis and isomorphic mapping - based, leveling, use case - dived, and parallel modeling and development model. beside these, there are introduction about rapid prototyping technology and uml

    該論文分建模理論和實踐兩部分，在建模理論部分提出建模活動中的五大要素：同態同構問題、分層次問題、可擴展問題、大概率事件優先問題及效率問題，並對此進行詳述；進一步提出自己的應用uml進行軟體建模開發模型；基於同態同構的、分層次的、用況驅動的并行開發模型，此外還對uml及原型化技術進行簡單介紹，對該防火墻的核心技術? ? windows2000防火墻網路封包過濾原理進行詳細探討。
  5. To analyze some key technologies of optical network relative with rwa in detail, such as transmission, switching and internetworking ; to emphasize on the research of function, fabric and performance of optical cross - connection ; to carry out numerical simulations for crosstalk introduced by optical cross connect and to present measurements for suppressing it such as doubly filtering, fixing optimum decision threshold and appropriately choosing the number of multiplexed wavelengths ; 3. to research the fundamental principle and some problems relative with rwa, including the type of optical network, the type of traffic, the type of service, the survivability of optical network ; to classify and compare rwa algorithms and particularly research some dynamic rwa algorithms ; 4. to present reserved light - path and classify network resource such as used, unused and reserved status, to emulate establishment of all - optical connection in optical network through modified rwa algorithm and show effectively reducing setup time of all - optical connection utilizing reserved light - path ; to research rwa algorithms of multi - fiber network, to present new link weight functions dependent on node degree, unused fiber ( s ) per wavelength - layer and routing policies, to perform emulation of rwa based wavelength layer graph applying new link weight functions and show them make algorithms better performance and network lower blocking rate ; 5

    詳細分析了與rwa相關的光網路關鍵技術，包括傳輸、交換、組網等，重點研究了光交叉連接的功能和結構、性能，對其引入的串擾進行了詳細分析，選擇恰當的器件參數進行了數值模擬，並提出了抑制措施（如雙重濾波、優化判決門限、選擇恰當的復用波長數） ; 3 .研究了光網路的r認叭的基本原理、與r認叭的幾個相關問題（光網路類型、業務類型、流量類型、光網路生存性） 、 r認人演算法的分類和比較，具體研究了幾種動態r場人演算法; 4 .研究了以全光連接建立時間為優化目標的r認認演算法，提出預置光路的概念，對網路資源進行狀態分類（佔用、未佔用、預置） ，利用改進的r認叭演算法模擬，預置光路可為部分新到的連接請求快速建立連接，從而提高網路性能;研究了以多光纖網路連接阻塞率為優化目標的r認城演算法，提出了以節點度數、每個波長分層的空閑光纖數以及路由策略決定的幾種鏈路權重函數，利用基於波長分層圖模型的并行r場人演算法模擬，利用新的鏈路權重函數使得演算法具有更優的性能，使網路具有更低的連接阻塞率。
  6. The living example analysis shows that the two results are not only equal according to the full probability formula and deleting truth subsets in the calculation of system reliability for mine ventilation network based on boolean manipulation and minimization algorithm in the independence minimal path sets, but also it is fewer to possess boolean manipulations in the calculation and the calculating program is simplified greatly to the method of boolean manipulation and minimization algorithm in the independence minimal path sets

    實例分析表明：採用升序排列的最小獨立路集並按不交型積之和定理予以真子集滌除的不交化處理后，不僅計算值等同於一般網路分析中用全概率公式計算的礦井通風網路系統可靠度，而且，計算工作量大為簡化。
  7. The thesis first introduce the basic concept and some common methods of network flow assignment, after analysis the limitation of these methods, put forward the negative exponent network flow assignment model

    本文首先介紹了網路配流的基本概念和目前常用的幾種方法，分析了這些方法的局限性后，提出了基於多路徑概率網路配流理論的負指數網路配流模型。
  8. The artificial neural net ( ann ) way is universal regard as one of the most effective ways of stlf. in this paper, some research is developed for stlf using ann ways in several parts : the first part is about the arithmetic of ann based on bp model, namely the advanced of traditional bp arithmetic, one alterable step and scale bp arithmetic based on comparability of model and probability of accepting bp arithmetic is used to enhances a lot the convergence rate of learning process of bp network, but also avoid the stagnation problem to some extent. it indicates that the ann ' s efficiency and precision by the way can be ameliorated by the simulation of real data

    神經網路方法在短期預測中已經被公認為較有效的方法，本文針對神經網路用於電力系統短期負荷預測的幾個方面展開研究工作：第一部分研究一般用於負荷預測的神經網路bp模型的演算法，即對傳統的bp演算法的改進，將一種基於模式逼近度和接受概率的變步長快速bp演算法應用到短期負荷預測，模擬結果表明該方法有效的改善了bp演算法收斂速度慢以及容易陷入局部最小點的缺點，從而提高了神經網路用於負荷預測的效率和精度。
  9. In this paper, monte carlo ( mc ) method is used in the research of distributing of construction duration and computation of time parameter of pert network. according to probability viewpoint, critical line and key degree of activity in the network are also defined. aiming at the limitation of application of the mc in large scale the network, the simplified computational method for the network is presented with quantum probability theory and composite method of path in network

    本文用mc （ montecarlo ）方法研究了施工工期的分佈規律和pert （ programevaluationandreviewtechnique ）網路的時間參數的計算；用概率論的觀點定義了pert網路主導線路和關鍵度；針對大型施工進度網路mc方法應用的局限性，採用線路合成方法，引進當量概率概念，提出了pert網路的簡化計算方法；根據工程搭接施工網路的特點，將其轉化為廣義pert網路，探討了其施工進度風險的計算。
  10. The two - stage modeling method takes into account the characteristics of software project risk management and software metrics data, integrates qualitative knowledge and quantitative data. to study the software project iterative process risk ’ s bayesian network model, the definition of cyclic bayesian network is presented, probability convergence property of directed cycle in cyclic bayesian network is proved and probability inference method is put forward

    論文在軟體項目迭代過程風險的貝葉斯網路模型研究中，定義了有環貝葉斯網路，證明了有環貝葉斯網路中有向環的概率收斂性質，給出了有環貝葉斯網路的概率推理方法。
  11. This thesis first describes the general research development of bp network, kde, genetic algorithm, arx model and their specific application in dms such as architecture, algorithm - flow etc. then the paper introduces the distributed object technique with the focus on the description of corba and the specific developing tools visibroker. finally, a multi - client distributed monitoring system based on corba is developed with multi - technologies referred before

    本文首先系統地介紹了bp神經網路、核函數概率估計（ kde ） 、遺傳演算法（ ga ）和帶外生變量的自回歸模型（ arx ）發展和研究概況以及上述建模演算法在分散式監測系統中的應用，並給出了運用石油流化催化裂化模擬設備的數據測試結果。
  12. Taking ningxia - inner mongolia reach of yellow river as a study case, a ice regime forecast data warehouse is established for the datamining concerned on the basis of the analysis on the ice regime changing law and its influencing factor of the reach, and then the conceptual mathematic model and artificial neural network model for the parameter calibration of ice regime forecast are built up with gis in combination of the relevant empirical forecast models based on the principles of the hydrological flow muting, thermodynamics and ice hydraulics etc., with which the design and development of the decision support system for the ice regime forecast with the integrated functions of information inquiry, model parameter calibration, temperature forecast and ice regime forecast are preliminarily discussed

    摘要以黃河寧蒙河段為例，在對河段歷史冰情變化規律及其影響因素分析的基礎上，建立冰情預報數據庫，進行數據挖掘，並以地理信息系統（ gis ）為平臺，以水文學流量演算、熱力學、冰水力學等原理為基礎，結合相關經驗預報模型，建立用實測資料進行參數率定的冰情預報概念性數學模型和人工神經網路模型，初步探討了集信息查詢、模型參數率定、氣溫預報、冰情預報等功能為一體的冰情預報決策支持系統的設計與開發。
  13. In this paper, an approach of the systematic artificial neutral net was introduced into the analysis on the ship - against - bridges probability with a computer programs. based on the basic data of the present 12 typical bridges as the sample, 4 chief influential factors as the input coefficient, such as the bridge span, the water flow rate, the incline angle between water flow direction and the direction normal to bridge axis, and the curve in the course near the bridge area, with the ship - against - bridge probability as the output coefficient, the intelligent judging system of the ship - against - bridges probability reflecting the influence of the above input parameters is obtained after training

    本文首次將人工神經網路系統方法引入了船撞橋概率的研究當中，編制了計算程序，成功地以現有12座典型橋梁的基礎數據為樣本，以橋梁跨徑、水流流速、水流方向與橋軸法線的夾角以及橋區航道彎曲度等4個船撞橋主要影響因素為輸入參數，以船撞橋概率為輸出參數，經訓練得到了能較好地反映上述輸入參數影響的船撞橋概率判斷系統。
  14. A belief network is a probability model defined on an acyclic directed graph ; distributed means nodes can be on different hosts, and heterogeneous means allowing different conditional distributions

    一個信念網路是定義在一個非循環有向圖上的概率模型；分佈性指節點可以在不同的主機上，異質性指可以允許不同的條件分佈。
  15. While, study the scheduling bayesian network to model software project scheduling risk. the modeling method, related calculation and probability inference algorithm are presented

    在進度貝葉斯網路的研究中，給出了軟體項目進度風險的建模方法、模型中的相關計算以及概率推理演算法。
  16. In the paper, the models of uncertain reasoning are focused, such as the reasoning model of bayes probability, reliability theory, d - s evidence theory and neural network

    本文主要涉及的不確定推理模型包括主觀貝葉斯的概率推理模型，可信度理論推理模型，證據理論及其改進推理模型以及神經網路推理模型。
  17. The generation is coinciding with the probability distribution for the same work procedure. for one turn of simulation, the rigid network plan algorithm is used. after enough turns of simulation, the distribution of the total work period can be determined, at the same time the critical path and time parameters can be found in the pnp

    本文首先論述了網路計劃發展的幾個方面，然後引入概率理論與統計知識，建立起一個概率型網路計劃模型，在此基礎上闡述了工序工期與網路總工期的概率分佈的判定與擬合方法，通過中心極限定理同時輔助於計算機數值模擬法，對網路計劃做出了一些統計分析，同時提出了概率型網路的關鍵路線的確定方法。
  18. A dynamic routing algorithm based on application rules and probability in wireless sensor networks was proposed

    針對連續數據分發型傳感器網路，提出了一種基於應用規則和概率的動態路由演算法rpdr 。
  19. In designing or selecting a topology for a parallel processing system, one fundamental consideration is system - level fault tolerance. in order to improve the fault tolerance, the paper analyses from the two following sides : one is by adding the less links related to the original networks, modifying the topology of the original one, we get higher fault tolerance of the new network ; the other is under the same topology network, ignoring the likelihood of one processor and ail its neighbors failing at the same time, or considering the distribution of the faulty nodes, that is studying the fault tolerance under the conditional connectivity or cluster - fault - lolerance

    本文以提高網路的容錯度為目的，從兩個方面分析互連網路的容錯性質：一是在原網路基礎上增加少量連接，使新型網路具有更高的連通度（容錯度為連通度減1 ） ；二是在給定互連網路拓撲結構下，考慮故障處理器發生的概率和故障處理器的分佈狀況，在其中的某一具體條件下，即在條件連通度和簇容錯下分析互連網路的容錯性能，從而得到更高的網路容錯度。
  20. On the basis of randomness analysis of traffic demand and supply and the reliability analysis of network, the concept of unblocked reliability was presented

    摘要暢通可靠度是在考慮交通供給和交通需求的隨機變化特性的基礎上，借鑒網路可靠性分析方法，提出的概率型指標。
分享友人
分享到 Line

分享到臉書