推理模型 的英文怎麼說

中文拼音 [tuīlǐmóxíng]
推理模型 英文
inference model
  • 推 : 動詞1 （向外用力使物體移動） push; shove 2 （磨或碾） turn a mill or grindstone; grind 3 （剪或削...
  • 理 : Ⅰ名詞1 （物質組織的條紋） texture; grain （in wood skin etc ） 2 （道理;事理） reason; logic; tru...
  • 模 : 模名詞1. （模子） mould; pattern; matrix 2. （姓氏） a surname
  • 推理 : [邏輯學] inference; ratiocination; illation; reasoning; ratiocinate
  • 模型 : 1 （仿製實物） model; pattern 2 （制砂型的工具） mould; pattern3 （模子） model set; mould patter...
  1. In this paper, we design a kind of multi - discursion model based on episodic memory, construct the trading agent living in the flow of trade data stream in high - dimension capital market to research the market activeness inside

    摘要設計一種基於場景記憶的多層推理模型，構造生活在高維資本市場內部交易數據流中的感知交易主體，從市場的內部研究市場的交易行為。
  2. An uncertainty inference model based on fuzzy logic

    一個基於模糊邏輯的不確定性推理模型
  3. When these models deal with material uncertainty, there are different from basic thought and method in detail, but the reasoning has the same hypostasis and they have the same form of structure, such as the same description of knowledge " uncertainty, the same description of evidence ' s uncertainty, the same update algorithm of uncertainty and so on

    不同的推理模型處理問題的基本思想和方法有很大的差異，但不確定推理的本質是相同的，都具有一個相同的結構形式，即對知識不確定性的描述，證據不確定性的描述和不確定性的更新演算法。
  4. This paper researches the asphalt expert ' s thinking pattern and adopts two reasoning model to simulate it. of the two reasoning model, uncertain reasoning based on c - f model simulate the asphalt expert ' s simple and linear thinking, while fuzzy reasoning based on fuzzy theory simulate the asphalt expert ' s fuzzy thinking

    本文研究了瀝青路面施工專家的思維模式，並採用了兩種推理模型予以模擬，其中，基於c - f模型的不確定推理模擬瀝青路面施工專家的簡單、線性思維，模糊推理模擬瀝青路面施工專家的模糊思維。
  5. Listing 17 shows what happens when the inference model is queried for hypernyms of " wisteria "

    清單17顯示了當對推理模型查詢「 wisteria 」的上位詞時的結果：
  6. Case based reasoning model in a multi - criteria group intelligent decision support system

    多準則群體智能決策支持系統案例推理模型研究
  7. A fuzzy probability reasoning model for transformer faults diagnosis is rebuilded based on probability reasoning and fuzzy theory. a ga resolvent for the model is put forward from the point of nonlinear combinatorial optimization view

    本文在概率因果推理模型的基礎上，引入模糊理論，重新建立了模糊概率因果變壓器故障診斷模型，並從非線性組合優化的角度提出了該模型的遺傳演算法求解策略。
  8. For generalizing the content of synthesis reasoning, the model of synthesis reasoning based on rough set theory was proposed

    摘要為了拓展綜合推理的涵蓋范圍，建立了基於粗糙集理論的綜合推理模型。
  9. Main contents of this paper are summarized as following : ( 1 ) on the basis of deeply researching the processes and characteristics of product variant design, this paper puts forward the product model and the intelligent reasoning model for variant design ; they are the hierarchical model for product variant design and hybrid reasoning model that cbr is the core. the frame of knowledge - based variant design is puts forward. the system includes four sub - systems : the product recourse base subsystem, the product recourse managing subsystem, the variant design subsystem, and the design evaluation subsystem

    具體研究內容如下： （ 1 ）深入研究了產品變型設計過程和特點，提出了面向變型設計的產品模型和智能推理模型，它們分別是產品變型設計層次化模型、以cbr為核心的混合推理模型；建立了基於知識的產品變型設計系統框架，該系統包括四個子系統：產品資源庫子系統、產品資源管理子系統、變型設計子系統和設計檢驗子系統。
  10. The key to these issues is a proper context representation and reasoning model, which should satisfy the following requirements : 1 ) it should have the capability to deal with uncertainties, which is an intrinsic property of context ; 2 ) it should be first - order, since we need to discuss at the level of entities, attributes and relations. this property is also necessary for representing generally applicable context reasoning knowledge. 3 ) it should have reasonable complexity, since the application wants to now the up - to - date context

    上述問題的核心是目前缺乏一個良好形式化的上下文表示和推理模型，而這個模型必須滿足如下屬性： 1 ）能處理由於傳感器的不可靠以及不確定的知識帶來的上下文的不確定性； 2 ）具備一階（ first - order ）描述能力，這是因為上下文信息需要在實體的屬性和實體間的關系層次進行描述，同時這種能力也是使上下文推理知識具有通用性的基礎； 3 ）合理的復雜度，因為應用查詢上下文時希望了解的是即時的情況。
  11. In the paper, the models of uncertain reasoning are focused, such as the reasoning model of bayes probability, reliability theory, d - s evidence theory and neural network

    本文主要涉及的不確定推理模型包括主觀貝葉斯的概率推理模型，可信度理論推理模型，證據理論及其改進推理模型以及神經網路推理模型。
  12. In the probability model, we provide the case of client evaluation in the bank credit and utilize the some kinds of probabilities from statistics analysis and field experts to reasoning and information fusion

    概率推理模型中本文試舉了銀行信貸客戶評價的推理融合案例，利用統計分析和領域專家給出的各種先驗概率來進行推理和信息的融合。
  13. ( 4 ) give an example system on cards games. thus propose the application field of the reasoning model

    （ 4 ）實現了牌類游戲的範例系統，為所提出的動態模糊邏輯（ dfl ）的推理模型找到了應用背景。
  14. On the basis of a evolving clustering method ( ecm ), a new modeling approach of t - s type dynamic fuzzy inference model is proposed

    摘要以一種進化聚類演算法（ ecm ）為基礎，提出了一種新的t - s型動態模糊推理模型的建模演算法。
  15. If a factor can be taken on similar fuzzy conditions in every similar type of the principal set, while on different fuzzy conditions in different types of the principal set, this shows the condition of the factor taken on much useful decisively for the system ' s output

    它的原理是基於一種廣義模糊特徵合成推理模型，利用shannon熵及其互信息原理，如果存在一個因素，在相同類別的每個規則中取相同的模糊狀態，在不同類別的規則集中所取的模糊狀態不同，這說明因素所取狀態對于系統輸出結果有很大的決定作用。
  16. An object - oriented inference model and its knowledge representation

    一種面向對象推理模型及其知識表示
  17. The confirmation theory which is one of the uncertain inferring model has been adopted to construct the inference engine, for the special knowledge in the field is uncertain and fuzzy. at the same time the knowledge on fuzzy set theory and fuzzy logic has been applied to calculate the final value about certainty factor value ( cfv ) of a rule through inputting several initial values

    根據專門知識的不確定性和模糊性，運用非精確推理模型中的確定性理論，組織實現系統的推理機，在對規則可信度進行不確定性處理時，引入模糊集合論和模糊邏輯的有關知識，處理多個初始可信度的輸入，由此得出最終比較可靠的規則可信度。
  18. Symbol logic method is unable to guarantee the complement of knowledge description, which leads to complicated deducing process. we introduce fuzzy cognitive map into agent modeling and deducing, substitute symbolic description and inference with simple mathematical computing, achieving agent intelligent decision - making in complex environment

    針對現有符號邏輯描述方法難以保證知識表達的完整性，推理過程陷於復雜的邏輯演繹的問題，作者引入了模糊因果關系的網路模型，基於模糊認知圖理論構造agent推理模型，用簡單的數值計算代替復雜符號系統的表示和演繹推理過程，實現了復雜環境下的agent智能決策。
  19. Among the few proposed context representation and reasoning models, none can support all these requirements

    本文基於一階概率邏輯提出一個稱為contextlogic的上下文表示和推理模型。
  20. When the discount coefficient is 1 and all weights of the nearest neighbor sample points are the same, the k - nn classification method based on evidence reasoning model will become the k - nn classification method based on evidence theory

    並且當折扣系數為1 ，且給定所有最近鄰樣本點權重相等時，基於證據推理模型的k - nn分類方法就成為基於證據理論的k - nn分類方法。
分享友人
分享到 Line

分享到臉書