概率網路 的英文怎麼說

中文拼音 [gàilǜwǎnglù]
概率網路 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. Compared with the regular rule - based expert system, the bayesian network based es can reason on the incomplete input information using the prior probability distribution ; the topological structure of the network being used to express the qualitative knowledge and the probability distributions of the nodes in the network being used to express the uncertainty of the knowledge, which made the knowledge representation more intuitively and more clearly ; applying the principle of the bayesian chaining rule, bidirectional inference which allow infer from the cause to the effect and from the effect to the cause can be achieved

    與一般基於規則的專家系統相比，貝葉斯網專家系統利用先驗概率分佈，可以使推理在輸入數據不完備的基礎上進行；以網路的拓撲結構表達定性知識，以網路節點的概率分佈表達知識的不確定性，從而使不確定性知識的表達直觀、明確；利用貝葉斯法則的基本原理，可以實現由因到果及由果到因的雙向推理。
  3. Based on this kind of relations between the topological structures and the content distributions we study the web modelling, community identification and some related application problems in detail : first, after some existed characteristics of the web topology are verified, some new characteristics are discovered : the high clustering property in micro - topology ( high average gathering coefficient ), the obvious mapping relation between the topological struture and the content in micro - level 、 linear irrelevant between the degree distribution of network nodes and the relative degree distribution of contents etc. then after analysis the topology of the complex network and the network modeling, the muti - scale determinism is proposed, especially for the information network a web evolvement model ( prcp model ) that fused the node authority and the node correlation is proposed. the model deduction, evolving learning verification and large scale experiment proof indicate that the model can explain the micro - topology centralizing phenomena, can imitate the mapping relation between the network connecting distribution and network content relative distribution and also can predict the mapping relation between the topology clustering and content clustering

    本文在詳細觀察了web網路的拓撲結構特徵以及拓撲結構與內容分佈相互關系的基礎上，以信息網路的物理連接拓撲結構與節點內容相關度分佈之間的相互關系為主線，從網路特徵、網路建模、社區分析及相關應用方面問題進行了深入細致地探討:首先在驗證了前人提出的web網路拓撲結構特徵基礎上，進一步發現了信息網路所具有的一些新特徵: 1 ）網路微觀顆粒度的拓撲結構聚團與內容聚團存在明顯的映射關系，具體包括節點之間的物理連邊概率與節點之間的內容相關度成指數比例關系、節點形成三角形拓撲結構的概率與節點內容相關緊密程度之間同樣具有一種指數比例關系; 2 ）網路節點連接度整體分佈與節點內容相關度整體分佈是線性無關的; 3 ）網路微觀拓撲結構中的存在很強的集聚性（平均聚團系數很高） 。
  4. ( 3 ) with the conception of quantum probability and composite method of path in network, the earliest time of node merged with two or more paths is corrected, and then make a dummy activity which follows the node and which holds a duration time that the earliest time of the node added time after the paths are merged, and the subsequent work of the node follow the dummy activity

    採用線路合成，引進當量概率概念，對pert網路中有二條以上匯入線路節點的最早時間進行修正，並將修正後增加的時間作為一新活動（工序）的持續時間，然後將該新活動作為原節點的緊后工序，而原節點的緊后工序作為該新工序的緊后工序。
  5. 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。
  6. Comprehensive identification and field treatment for common faults of load tap changer of power transformer

    基於概率神經網路的電力變壓器故障診斷
  7. It is applicable to various structural distribution networks. while resolving the " large area restoration ", the genetic algorithm execute three same and simple genetic operators : selection, crossing and mutating. it make a self - adaptable and probability overall searching under the leading of fitness value in the whole searching scale until acquiring the best result

    在求解網路故障后重構問題時，互動式模糊遺傳演算法通過循環執行相同的、極其簡單的選擇、雜交和變異三種遺傳操作，並在適應度函數值的引導下在搜索空間進行自適應概率性全局搜索，直至獲得全局最優解。
  8. 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。
  9. After analyzing the character of risk, i introduce data mining method into risk management, to solve the contradiction between great capacity of data and lack of information, the methods include mathematics statistics and artificial neural network ( ann ). then, i study on the methods of risk management in risk identification, risk evaluation and risk disposal, what is advanced, fault tree analysis method based on fuzzy probability, stochastic simulation method and the topsis method based on interval number all consider the characteristic of risk. finally, i discussed the application of information system ( mis ) in project risk management, and developed a risk management information system

    論文在深入分析了風險特徵之後，將數據挖掘技術引入風險管理，用以解決海量數據與貧乏信息之間的矛盾，所採用的技術有數理統計和人工神經網路（ ann ）兩種方法；接著，論文對風險識別、風險評價、風險處理中的風險管理方法進行了研究，所提出的基於模糊概率的故障樹技術、隨機模擬技術和基於區間數的topsis方法都體現了風險管理的特點；最後，論文對信息系統（ mis ）在工程項目風險管理中的應用進行了探討，開發出一個風險管理信息系統。
  10. Secondly, we use the hmm neural network to recognize on - line handwritten character

    概率神經網路用於聯機手寫字元的識別。
  11. But the results have shown that the hmm neural network can work successfully on the recognition of handwritten characters

    但是我們的試驗結果表明，概率神經網路可以成功的用於聯機手寫字元的識別問題。
  12. 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。
  13. 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。
  14. Risk analysis of precedence networks

    搭接進度網路完工概率分析
  15. The evaluation of internet information resources based on probability and statistics

    用概率統計方法評價網路信息資源
  16. 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。
  17. Because ga possesses the traits of can global random search, the robustness is strong, been use briefly and broadly, it didn ’ t use path search, and use probability search, didn ’ t care inherence rule of problem itself, can search the global optimum points effectively and rapidly in great vector space of complicated, many peak values, cannot differentiable. so it can offset the shortages of nn study algorithm, can reduce the possibility that the minimum value get into local greatly, the speed of convergence can improve, interpolation time shorten greatly, the quantity of training reduce

    因為遺傳演算法具有全局隨機搜索能力，魯棒性強、使用簡單和廣泛的特點，它不採用路徑搜索，而採用概率搜索，不用關心問題本身的內在規律，能夠在復雜的、多峰值的、不可微的大矢量空間中迅速有效地尋找到全局最優解，所以可以彌補神經網路學習演算法的不足，使陷入局部最小值的可能性大大減少，使得收斂速度提高，訓練量減小。
  18. Based on the current research achievements on durability under chloride environment, probability theory, structural reliability theory, concrete structures theory, neural network theory and structure dynamic theory are employed comprehensively in this dissertation. some problems of durability of reinforced concrete structures under chloride environment were studied through the exploitation of experimental data, the rule of chloride ingress and steel bar corrosion, the performance of corroded member, and residual life prediction. the main issues and results in this dissertation are as follows : 1 、 the probability method for the prediction of durable life based on the stipulated reliability index for concrete structures under chloride environment is presented in this dissertation

    本論文在國內外對氯離子侵蝕環境下混凝土結構耐久性研究成果的基礎上，綜合運用概率理論、結構可靠性理論、混凝土結構理論、神經網路理論、結構動力學理論等基本理論和方法，結合實際檢測數據，按照氯離子侵蝕、鋼筋銹蝕、銹蝕構件性能、銹蝕構件壽命預測的思路對氯離子侵蝕環境下鋼筋混凝土結構耐久壽命預測的有關問題進行了深入系統地研究，完成以下主要研究工作並取得相應成果: 1 、提出了氯離子侵蝕下基於規定可靠指標的混凝土結構耐久壽命的概率計算方法。
  19. 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。
  20. 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。
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