cause-effect network 中文意思是什麼

cause-effect network 解釋
因果網路
  • cause : n 1 原因，起因；緣故，理由，根據，動機。2 【法律】訴訟事由；訴訟案件；訴訟程序。3 事業，事項，事...
  • effect : n 1 結果。2 效能，效果，效力，效應，作用，功效；影響。3 感觸，印象；外觀，現象。4 旨趣，意義。5 ...
  • network : n. 1. 網眼織物。2. （鐵路、河道等的）網狀系統，網狀組織，廣播網，電視網，廣播[電視]聯播公司。3. 【無線電】網路，電路。4. 【計算機】電腦網路，網。
  1. 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。
  2. Network is key media of cause and effect ' s linkage to turn. individual ' s action into total typicality

    網路是變個體行動為總體型態的因果連結的關鍵媒介。
  3. In this paper, based on the analysis of the fault mechanism, the dynamic system is introduced to establish the cause and effect network map of single fault, confirm the structure of system, and establish the equation of system dynamic model. the simulation soft - ware stella is applied to simulate the system model, the dynamic behavior and characteristic of the system have been analyzed

    故障的發生往往存在復雜的因果關系，本文在進行故障機理的分析基礎之上，運用系統動力學方法建立單一故障的因果關系圖，確定系統的結構，建立系統流圖方程式，並運用計算機模擬軟體stella進行系統模擬，對其系統的行為模式和特性進行分析。
  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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