predictive tool 中文意思是什麼
predictive tool
解釋
預報工具- predictive : adj. 預言性的;（成為）前兆的。
- tool : n 1 工具，用具，器具；【機械工程】刀具；工具母機 （＝machine tool）。2 爪牙，傀儡，走狗；〈美俚〉...
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The standardized regression coefficient has been a common tool for assessing the effect, predictive power or explanative power of an independent variable ( iv )
摘要多元回歸里的標準化回歸系數常被用來表達一個自變項的作用、預測力或解釋力。 -
An artificial neural network （ ann ） model was developed and used in different water bodies to predict timing for environmental changes as well as for the dynamics of resources. the results show that the ann model is superior to classical statistical models ( csm ) and can be used as predictive tool for highly non - linear phenomena
用人工神經網路方法對不同水域、不同環境因子之間非線性和不確定性的復雜關系進行學習訓練並預測檢驗，結果表明:人工神經網路方法在模擬和預測方面均優于傳統的統計回歸模型，在資源與環境方面的應用是可行的，具有較強的模擬預測能力。 -
More specifically, the research provides an appropriate framework of entities among which causal relations are to hold ; it also develops a theoretical framework of event causation, under which the structures and elements of causal relations holding among these ontological entities can be described ; it gives a general representation tool for event causation supported by the ontological and theoretical frameworks, under which causal relations can be formalized as causal rules for practical reasoning, e. g., predictive reasoning, in which nonmonotonicity, as well as the other general properties and the nature of elements involved, can be captured ; it constructs computational frameworks for abstract causal reasoning models, such as causal prediction, causal explanation, and causal diagnosis ; and it finally extends and utilizes these abstract reasoning models to formalize causal knowledge in specific domains to develop practical causal reasoning systems for ai research, e. g., story understanding and legal reasoning. the research i s original from several aspects as follows : ( 1 ) the analysis of the internal structure of events provides a fundamental ontology for causal relations
具體地說，此項研究在以下幾個方面做了工作：它對因果關系存在的實體給出了一個合適的框架；它建立了一個基於事件的因果關系的理論框架，在這個框架下因果關系的結構與因素能夠被合理描述；它提供了一個得到本體論與因果理論支持的基於事件的因果關系的一般表達方式，使因果關系能夠被形式化為在實際推理（例如預測推理）中應用的因果規則，並使因果關系的非單調性以及其它的一般性質得到體現；它構造了基於事件的因果關系的抽象推理模型，特別是因果預測、因果解釋和因果診斷；最後它把因果推理模型推廣應用到具體的領域以建立實際的ai系統，例如在故事理解和法律推理中的應用。
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