probability graph method 中文意思是什麼

probability graph method 解釋
概率圖法
  • probability : n 1 或有；或然性。2 【哲學】蓋然性〈在 certainly 和 doubt 或 posibility 之間〉。3 【數學】幾率，...
  • graph : n. 1. 【數學】曲線圖；坐標圖，圖表。2. 統計曲線。vt. 用圖表表示，把…繪入圖表。n. 膠版。vt. 用膠版印刷。n. 【語言學】1. 詞的拼法。2. 表示音素的最小字母單位。
  • method : n 1 方法，方式；順序。2 （思想、言談上的）條理，規律，秩序。3 【生物學】分類法。4 〈M 〉【戲劇】...
  1. 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。
  2. Firstly the paper introduces the method of randomly competitive arbitrating, and then uses the method of simulation and analytics and signal flow graph and markov chain to analyze the competitive probability and length of arbitrations respectively

    本文首先介紹了隨機爭用仲裁方法，然後分別使用模擬法、解析法、信號流圖法以及馬爾可夫鏈等手段對隨機爭用仲裁方法的獲勝概率和仲裁長度進行分析。
  3. We prove in this paper that almost every graph is 7 - threshhold close assignable and offer a impactful method to distinguish whether a graph is 7 - threshhold close assignable which make the problem machine - readable. we resovle the problem in sense of probability, which has the significance that the method can be apply to more problem

    本篇論文介紹了一種角色染色方法，用之證明了幾乎所有的圖都是7 -域近角色可分配的；並給出了一種有效的判別圖g是n -域近角色可分配的演算法。
  4. Dynamic causality diagram was first proposed by professor zhang qin in 1994, it is a mathematics tool combined with probability and graph theory, just like the belief network, its characteristic is to provide the method of uncertain knowledge representation and agility reasoning, it adopts nodes to represent random variables in the domain and directional edges between nodes to represent causal relationship between variables, linkage intensity to represent the strength of the link between these variables, it supports the forms of reasoning from cause to effect and from effect to cause and together

    動態因果圖由張勤教授1994年提出，它與信度網類似，是概率論與圖論結合的一種數學工具，其特點是提供不確定知識的表達和靈活的推理方法:用節點表示事件或變量，有向邊表示因果關系，並用連接強度來表示因果關系的強度，支持由原因到結果的正向推理方式和由結果到原因的反向推理方式以及正反向混合推理方式。
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