causal network 中文意思是什麼
causal network
解釋
因果網路-
2. switching cost, network externalities, additional function, branding image, safety & stabilization, require of computer configuration & bandwidth, these are six causal variables that need to be mainly considered in the influence factors of the imcl. they not only directly restrict customer lock - in, customer value and customer satisfaction, but also influence the imcl indirectly by the three direct influence factors
2 、轉移成本、網路外部性、附加功能、品牌形象、安全穩定、配置網路是即時通訊產品顧客忠誠的六個主要原因變量，它們不僅直接制約顧客鎖定、顧客價值和顧客滿意，而且通過這三個直接影響因素間接的影響即時通訊產品的顧客忠誠。 -
( 4 ) applying the relationships between faults and fealtures in probability causal model, the bp neural network is improved by adding the direct connections between the input nodes and the output nodes
（ 4 ）利用概率因果模型中徵兆與故障之間的關系，對bp網路進行了改進，增加了輸入與輸出相關節點的直接聯接。 -
The current situation of university student ' s network game and causal analysis
大學生網路游戲的現狀及原因分析 -
This thesis discusses the definition and implementation methods of hierarchical federations, and brings forward the technique of automatically constructing the hierarchical federations architecture ( hfa ). based on the study of time management and data distributed management in hierarchical federations, we give the constraint conditions, which need to be met for achieving correct temporal delivery of time - stamped messages and causal ordering of those messages. we propose the process of time advancement in hierarchical federations, and present the hierarchical data filtering mechanism, which can effectively decreases the network traffic
論文研究了層次聯邦的概念及其實現方法，提出了層次聯邦體系結構的自動生成技術；然後研究了層次聯邦中的時間管理和數據分發管理，提出了為保證消息傳遞的時間和因果順序的正確性需要滿足的約束條件，給出了層次聯邦的時間推進過程；提出了層次聯邦中能有效減少網路流量的數據分層過濾機制。 -
Based on predecessors " studies on steam turbine generator - set ' s state monitoring and fault diagnose, this paper focuses on the models and methods used to judge the multiple faults. these models and models, which are based on fuzzy sets theory, probability causal model, artificial neural network technology and genetic algorithms, are tested by some existing examples and some useful conclusions are drawn. all above will put the theory of multiple fault diagnosis of a large turbine generator set a further step
本文在總結和借鑒前人關于汽輪發電機組狀態監測和故障診斷的基礎上，重點研究基於模糊集理論、概率因果模型、人工神經網路技術以及遺傳演算法的多故障診斷理論和方法，並用已有的汽輪發電機組振動故障事例進行了驗證，得出了一些具有實用價值的結論，進一步豐富和推進了大型汽輪發電機組振動多故障診斷的理論，並提出了一些可靠的、實用的新方法。 -
Artificial neural network ( ann ) is non - linear technology developed since 1980. the ann model is determined by topology structure, activation function and learning method. the model possesses with good fault tolerance, self - adaptability and non - linear mapping, especially it is suitable to resolve complex causal problems
人工神經網路模型具有很強的容錯性、自適應性和非線性的映射能力，特別適于解決因果關系復雜的非確定性推理、判斷、識別和分類等問題。 -
For the extend model of cognitive map, conditional probability, theory of uncertainty and knowledge database are introduced to cognitive map, and fuzzy cognitive map ( fcm ), probabilistic fuzzy cognitive map ( pfcm ), belief knowledge database based probabilistic fuzzy cognitive map ( bkpfcm ), " extended dynamic cognitive network " are presented. therefore, those extended models can express the fuzzy and belief measure of uncertainty causal relationships and expert knowledge with uncertainty
本文把條件概率、不確定性理論及知識庫引入認知圖中，提出「概率模糊認知圖」 、 「基於信任知識庫的概率模糊認知圖」及「擴展動態認知網路」來表示事物間因果關系測度的不確定性、因果聯系的時空特性及專家對知識的不確定性，從而擴展了認知圖模擬現實世界的能力。 -
Zhang, n. and poole, d. ( 1996 ). exploiting causal independence in bayesian network inference. journal of artificial intelligence research 5 : 301 ? 328
在貝葉斯網路推論中探尋因果獨立性《人工智慧學報》 5 : 301 ? 328 -
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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