causal model 中文意思是什麼
causal model
解釋
病因模型-
Around those questions the author goes on the account, and investigates aristotle ' s full but coarse idea, hempel ' s covering laws model that is logically tight, salom ' s fully objective statistical - relevance model, fetzer ' s causal relevance model that provides adequate answers to ontic question and epistemic question
本文就是圍繞這三個問題展開論述，考察了亞里士多德粗糙而全面的看法、亨佩爾的邏輯嚴謹的「覆蓋律」模型、薩爾蒙的完全客觀的「統計相關」模型和費茨爾的在認識論和本體論兩方面可稱完備的「因果相關」模型。 -
Meanwhile, adjusting and optimizing the structure of investment distribution on education should be given attention. the innovation of this article are rest with : 1 ) applying granger causal relations methods to test causal relationships between education investment and economy growth ; 2 ) using time series data to built econometrical model, emphasizing education investment ' s long term feature ; 3 ) projecting future developments by arima model
本文主要創新點在於: （ 1 ）利用格蘭傑因果關系檢驗確定教育投資與經濟增長之間的因果關系; （ 2 ）利用時間序列數據進行建模時，著重體現了教育投資的長效性這一重要的特殊性質; （ 3 ）利用齊次非平穩過程的arima模型對我國未來教育投資進行了預測。 -
Sufficiency and necessity for the identifiability of an important type of ancillary information in a causal model
一類重要輔助信息在一類因果模型中可識別的充要條件 -
According to the structural model, positiveness of consumer prior expectations of the sponsoring brand regarding its altruism orientation and perceived persuasiveness of evidences communicated by the sponsoring brand regarding its altruism orientation are found to be exogenous constructs that generate juxtaposing effects, mediated by the three causal dimensions of the sponsoring brand ' s sponsorship behavior in the first order and dispositional of sponsor motivations in the second order, on perceived sponsor sincerity which is designated as the terminal endogenous construct of the model
根據此實證結構模型顯示，消費者對贊助品牌利他倒像先前期望之正向性，與贊助品牌所傳播關于其利他導向證據被知覺之說服力，乃是被知覺之贊助者誠意此一終極內衍變項之並列外衍變向；消費者對贊助品牌之贊助行為之三個因果歸因構面以及對贊助者動機之內在本質歸因，分別為第一序與第二序之中介內衍變項。 -
With the development of advertising theories and psychology, people have learned more knowledge about how advertising affects consumers. basing on how advertising works, this paper analyzed the process how consumers actually " feel " and " think ", the mental effects including framing perception, organizing memory, enhancing experience and brand attitudes, then built the conceptual model of advertising mental effectiveness that reflects the causal relationship of various constructed variables and finally founded a structurally quantitative model
本文從廣告影響消費者的過程出發，分析了消費者在接觸廣告后廣告信息對于消費者心理效果的影響，這些影響主要體現在感知、回憶、提升經驗和對于廣告品牌態度的變化方面，它們之間又有相互的影響關系；初步構建了廣告影響消費者的心理效果概念模型，該模型同時反映出了各結構變量之間的因果關系；然後，在概念模型的基礎上嘗試建立了測量廣告心理效果的結構數量模型。 -
( 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。 -
This paper proposes a knowledge map model for representing and reasoning causal knowledge as an overlay in the knowledge grid
模糊認知圖是一種具有語義的基於計算的融合因果知識表示與推理的一種圖模型。 -
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。 -
To investigate the relationship between foreign trade and economic growth, this essay begins with an examination of the correlation & integration properties of the statistical data of gdp, foreign trade, consumption, investment, labor and industrial structure before and after reformation - opening of china, undertakes a system cointegrating analysis and exams granger causality tests based on vector error - correction model, then carries some regressive analyses according to the causal direction of these variables
為了發現對外貿易和經濟增長的關系，本文首先檢驗了我國改革開放前後gdp 、對外貿易、消費、投資、勞動和產業結構統計數據的相關性和單整性，之後對它們進行系統的協整分析並在此基礎上用誤差修正模型進行granger因果關系檢驗，然後根據因果關系的方向進行回歸分析。 -
Lastly, the current research ends with the findings of a causal model of adolescents ' internet use and personality traits as well as t he other influential factors
最後，在研究結果的基礎上推導出一個青少年網際網路使用、人格特徵及其他影響因素的因果關系模型。 -
( 3 ) the probability causal model and the connective model based on the probability causal for the fault diagnosis of steam turbine generator - set are put forward by the analysis of the relationships between the probability causal model and the parsimonious cover set theory
（ 3 ）通過概率因果模型與節約覆蓋集理論關系的分析，建立了一種用於汽輪發電機組振動多故障診斷的概率因果模型和基於概率因果的聯接模型。 -
( 8 ) considering that probability causal model has not a qualitative standard to select parsimonious rules and there could be a problem of " combination explosion " when there are so many faults in the model, a method which combines probability causal model and genetic algorithm is put forward
（ 8 ）針對概率因果模型對于節約原則的選取沒有一個定量的標準和故障數目很奎慶大學博十學位論文多時問題解的「組合爆炸」問題，提出了一種將遺傳演算法和概率因果模型相結合的故障診斷方法。 -
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。 -
It extends fuzzy cognitive maps fcms to represent andreason not only simple cause - effect relations, but also time - delaycausal relations, conditional probabilistic causal relations andsequential relations. the mathematical model and dynamic behaviors ofkm are presented. experiments show that, under certain conditions, thedynamic behaviors of km can translate between different states
因此，需要對模糊認知圖進行進一步的擴展，本文提出了知識圖的數學模型來解決認知圖推理與表示過程中存在的某些缺陷，從而使新的圖模型能表示知識網格語義網格資源中存在的因果關系以及因果關系之間的不確定性，並通過實驗對這種模型的動態行為進行討論。 -
This study proposed a moderating model consisting of four constructs : a causal relationship between country of origin and product judgments with consumers ' openness and product knowledge served as moderators
摘要:本研究提出一個四構面的調節因子模型：在產地國與產品判斷間的因果關系中，由消費者開放程度與產品知識做為兩個調節因子。
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