概率樹 的英文怎麼說

中文拼音 [gàilǜshù]
概率樹 英文
probability tree
  • 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
  • 樹 : Ⅰ名詞1 （木本植物的通稱） tree 2 （姓氏） a surname Ⅱ動詞1 （種植; 栽培） plant; cultivate 2 （樹...
  • 概率 : [數學] probability; chance概率論 probability theory; theory of chances; 概率曲線 probability curv...
  1. Firstly the patterns of the multifingered hands are detailed, eight patterns are defined. the classical bayes method is used in the classification of pre - grasp of multiple fingers based on three patterns which are grasping, holding and pinching. based on the eight pre - grasp patterns, bp neural network is applied in the classification of the pre - grasp of multifingered hands and gets a good effect. the method solves the shortcoming input sample relying on the propobility density and simplified the un - insititution characters extraction. in this paper, support vector machine ( svm ) and binary - tree with clustering is applied in the classification. this method can solve the slow speed and effect with fewness sample in the classification, achieving a good effect. in this papper, we extract the characters of the regulation object with geometry characters and extact the unregulation object with the image analysis

    此法解決了輸入樣本依賴物體的概率密度的特點，簡化了分類特徵提取的不直觀性。本文還採用了支持向量機（ svm ）和聚類二叉樹相結合的方法對機器人手預抓取八類模式進行分類，解決了預抓取模式分類訓練速度過慢以及在分類中樣本數量偏少而影響分類效果的問題，得到了較高的正確率。本文對預抓取幾何形狀規則的物體採用直接提取其幾何特徵，對于預抓取幾何形狀不規則的物體採用圖像分析的方法進行特徵提取。
  2. We call the resulting process ( bond ) percolation on t a path of t is an alternating sequeiice : { v0 ; e1, v1, e2, v2, . . ., en, vn } of distinct vertices vi and edges ei = ( vi - 1, vi ). such a path has length n

    樹t上的貝努里邊滲流模型是指：對于樹t上的每一條邊e ，讓其獨立的以概率p （ 0 p 1 ）開，以概率1 ? p閉。
  3. Fuzzy probability calculation of submarine accidents

    潛艇事故概率的模糊事件樹分析
  4. 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。
  5. Firstly, for the errors of text ’ character and word, utilizing neighborship of character or word, check character and word errors by character string co - occurrence probability. secondly, for the errors of syntax of text, according to statistic and analysis of a large - scale contemporary chinese corpus, recognize the predicate focus word and the others sentence ingredient, check the syntax errors. thirdly, for the errors of text ’ semanteme, establishing semantic dependency relationship tree based on hownet knowledge, presents a method that based on semantic dependency relationship analysis to compute sentence similarity, check the semantic errors

    對于文本字詞錯誤的檢查，本文主要利用了字詞二元接續關系，根據同現概率檢查文本字詞錯誤;對于文本語法錯誤的檢查，本文利用教研室已有的一個大規模語料庫，通過對語料庫進行統計分析，獲得語法查錯所需要的語言規律和知識，利用謂語中心詞識別和其他句子成分識別的方法，檢查文本語法結構上的錯誤;對于文本語義錯誤的檢查，本文主要利用知網知識得到語義依存樹，通過對句子的有效搭配對的相似度計算檢查語義錯誤。
  6. In order to identify the dependent relationship between words based on statistics efficiently and accurately, this paper has rectified part of the shortcomings of present algorithms by making the best of the distribution characteristic between words, distinguishing the collocation, coordinate and affiliation relationship between words, identifying them respectively by different strategies, presenting a new module of matching between strings and a new module of dependent intensity between words, constructing the tree of dependent relationship, pruning the constructed tree of dependent relationship and identifying some latent dependent relationship

    摘要本文擴展和改進了現有的詞語間依存關系定量識別演算法，充分考慮詞項概率分佈的影響；明確區分詞項之間的搭配關系、並列關系和從屬關系，針對它們不同的特點，提出不同的識別演算法；提出字串匹配模型；充分考慮兩個詞項之間相互位置的離散分佈和距離的影響、以及它們的概率分佈特性，提出詞項間的依存強度模型，並據此構建詞語間依存關系樹；提出更新策略，對已經建好的依存關系樹進行裁剪，並挖掘出潛在的依存關系。
  7. The probability and unconditional failure intensity of top event was computed in the quantitative analysis of fta based on bdd

    在基於bdd的故障樹定量分析研究中，實現了頂事件發生概率和絕對失效強度的求解。
  8. It is concluded that the analysis is conducive to setting up an effective risk protection and management for the oil depot

    依據故障樹分析的結論提出了降低頂事件概率的防範措施，為油庫的風險管理提供科學依據，並可為其它油庫項目的火災爆炸事故分析提供參考。
  9. This thesis focuses on techniques of dynamic fault tree in system reliability modeling and its qualitative and quantitative analysis. it studies bdd solution for static sub trees 、 markov chain solution for dynamic sub tree briefly and the modularization of dynamic fault tree ; presents the algorithm for top event occurrence rate of dynamic fault tree based on weibull distribution. then this thesis presents a new approach to solve top event occurrence rate and a new generation algorithm of minimal cut sequence of dynamic fault tree that deviate from markov model completely

    本文著眼于動態故障樹在系統可靠性建模及定性定量分析中的技術，研究了基於bdd的靜態子樹分析方法、基於馬爾可夫模型的動態子樹分析方法以及動態故障樹模塊化方法，並提出了基於威布爾分佈的動態故障樹頂事件發生概率計算方法;提出了一種完全脫離馬爾可夫模型的求解動態故障樹頂事件發生概率的方法和一種最小順序割集的生成方法。
  10. A lot of papers about the report of probabilistic risk assessment of daya bay npp and system manuals has been read by the author and let as the basis. in this paper, based on the reliability analysis methods of failure mode and effect analysis and failure tree analysis, according to the result of event tree analysis of probabilistic risk assessment report of daya bay npp, the top events of the fault trees of reactor protection system and the success criteria were established. by using risk - spectrum procedure, the unavailability and the minimal cut - sets ( mcs ) of the fault trees were obtained

    本文在閱讀了大量的大亞灣核電站pra報告和各種系統手冊等資料的基礎上，採用fmea （故障模式和影響分析）和fta （故障樹分析）可靠性分析方法，依據大亞灣核電站pra事件樹分析的結果，建立了以緊急停堆失效和專設安全設施驅動失效為頂事件的故障樹，利用risk - spectrum程序，對所建的故障樹進行定量分析，計算，得到系統故障樹的失效概率和最小割集，從而為大亞灣核電站可視化風險分析軟體提供數據支持。
  11. The method can describe the radar intelligence network survivability quantitatively by applying the radar coefficients, the elements ' survival probability based on some suppositions that the command level and intelligence flow in the radar intelligence network are similar to the tree structure and the elements can only belong to two states, i. e. work normally or lose efficiency wholly

    該方法利用雷達情報網在指揮層次和信息流向呈現樹型的特點，在功能單元的工作狀態上採用「工作正常、完全失效」二態模式評估模型的基礎上，運用雷達效能因子和各功能單元生存概率，給出了雷達情報網生存能力的一個量化描述。
  12. It ' s a pity that although there are many papers and articles focused on data mining published every year, most of them deal with data mining concept and abstract algorithm theory, it is hardly to see their real implementation and application, in this context, when i was in my graduate exercitation in a company in beijing, which focus on developing supermarket software, i joined and completed an olap ( online analytical processing ) project, merchandise analysis and sale report system, which based on microsoft analysis service and microsoft sql server. i also design and implement three important algorithms : merchandise association rule algorithm based on multi - level merchandise category, supermarket member customer shopping frequent sequence generating algorithm, customer classification ( decision tree ) algorithm which based on information entropy and conditional probability tree, and they all achieve expected result

    本文作者在實習期間，參與並完成了基於微軟分析服務器的銷售分析與報表系統；並在公司即將開始的數據挖掘項目中，完成了多個重要演算法的設計和c + +程序實現：基於多層分類商品樹的商品關聯規則演算法，會員顧客的購物頻繁序列模式產生演算法；基於信息熵理論和條件概率樹的會員顧客分類（決策樹）演算法，並分別使用數據進行了測試，取得了較好的結果。
  13. Just as most of the natural language process technologies, the methods of ner have two classes, statistic - based and rule - based. considering of the limitation of using only one of the methods, we combined both of the methods to recognize named entity in this thesis. we combined the maching learning with ner to make the system get the ability of self - learning. we have done research on decision tree of maching learning mainly and designed a recognize model to recognize named entity. this model first used the probability and statistic way to extract the potential named entities, and then some context linguistic language information are employed in the model to recognize the named entities furtherly. as the wrong entites are denied, the recongnize effect has been improved

    鑒于單獨採用基於統計方法或基於規則方法的缺陷，在這篇論文中，採用了統計與規則相結合的方法來識別命名實體。為了使系統具有學習能力，我們把機器學習方法應用於中文命名實體的識別，這里我們著重研究了機器學習中的決策樹方法在中文命名實體識別中的應用;設計了一種基於決策樹的識別模式，該模式首先利用概率統計方法，在文本中盡量完備地識別出潛在的命名實體，然後利用潛在命名實體相關的上下文詞法、語法和語義特徵作為屬性構建決策樹，否定不正確的實體，進一步提高了命名實體識別的準確率。
  14. Based on research of theory and methods, this thesis presents design scheme of the dynamic fault tree analysis platform dfta and implement the platform ; practices a dynamic fault tree analysis example of boeing 707 plane engine oil indication system and alarm system on the platform and gets top event occurrence rate 、 minimal cut sequence 、 probability importance sequence 、 structure importance sequence and critical importance sequence and presents system improvement suggestion based on the analysis results

    在理論方法研究的基礎上，本文提出了動態故障樹分析平臺dfta的設計方案，並進行了實現;利用該軟體對波音707飛機發動機滑油壓力指示和警告系統進行了動態故障樹實例分析，得到了頂事件發生概率、最小順序割集、概率重要度排序、結構重要度排序、關鍵重要度排序等分析結果，並根據上述分析結果提出了系統設計改進建議。
  15. This paper presents the conversion from dynamic logic gate to markov chain, the solution of dynamic subtree top event failure probability and the method of obtaining the failure mode of subsystem using markov model, that is sequence cutsets of the dynamic subtree. the typical approach to importance analysis of component is impractical for large systems in markov model, so this paper also provides a simple and intuitionistic graph solution based on markov chain

    論文研究了動態邏輯門向馬爾可夫鏈的轉化方法，利用馬爾可夫鏈法求解動態子樹頂事件概率，以及通過馬爾可夫狀態轉移圖直接找齣子系統的故障模式和薄弱環節，即得到動態子樹的順序割集。
  16. 3. it bring forward models about decision - making tree analytical method and probability analytical method using blur forecast for bid venture by analysis venture equation witch have effect on bid

    通過對影響報價的風險因素進行分析，運用報價風險模糊預測，提出風險報價決策樹分析法和概率分析法模型，並結合實際對問題進行了分析。
  17. Secondly, the thesis puts forward that conditional probability of attribute to positive example can be used to compare the information which attribute provides so as to construct decision tree and to get classify rules. and a demonstration shows that the algorithm simplifies the decision tree ' s building process efficiently

    其次，提出了利用屬性對正例的影響度來比較屬性對分類提供的信息量，進而選擇分類屬性構造決策樹的條件概率決策樹演算法，同時實例計算說明該演算法有效地簡化了決策樹的生成過程。
  18. Abstract : fault tree analysis is introduced about diagnosing fault in the electromechanical equipment. the qualitative and quantitative analysis is made to the structure and action of the fault tree analysis. this paper presents logical relationship between the element fault and system fault. general formulas are deduced from system reliability and the probability of the system fault

    文摘:介紹了機電設備的故障樹分析法，對故障樹的構成及其作用作了定性及定量的分析，指出了元器件的故障與系統故障的邏輯關系，並給出了系統故障概率計算公式及實例。
  19. At the stage of image recognition, a unique model of pcb fault recognition was built on methods of tree - classification and sequenntial probability ratio test, and a kind of method of m feature selection and extraction was introduced

    在圖像識別中，本文分析了常用的模式識別方法，根據樹分類法和序貫概率比檢定法的思想設計了一種獨特的pcb缺陷模式識別方法；並給出了針對各種pcb缺陷模式的特徵選擇與提取方法。
  20. The framework suppose that the image ' s semantic feature can be expressed by using a multi - level attribute tree, and the probability of a certain image having a certain attribute can be estimated by interpolation method using the neighboring image ' s value. here, the neighboring relation refers to the neighboring in the low - level feature space

    該框架假定圖像的語義特徵可用多層屬性樹來近似表示，並且圖像擁有某個屬性的概率值可由相鄰的圖像的概率值進行插值估計，框架中的相鄰指圖像在底層特徵空間的相鄰。
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