概率推理 的英文怎麼說

中文拼音 [gàilǜtuīlǐ]
概率推理 英文
probabilistic reasoning
  • 概 : Ⅰ名詞1 （大略） general outline 2 （神氣） manner of carrying and conducting oneself; deportment ...
  • 率 : 率名詞（比值） rate; ratio; proportion
  • 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...
  • 概率 : [數學] probability; chance概率論 probability theory; theory of chances; 概率曲線 probability curv...
  • 推理 : [邏輯學] inference; ratiocination; illation; reasoning; ratiocinate
  1. 6. the basic principle of turbo equalization is discussed and the siso equalization algorithms based on a posteriori probability and interference cancellation are derived. at last, the simulation results are provided

    6 .論述了turbo均衡的基本原理，推導了基於后驗概率和干擾消除的5150均衡演算法，給出了性能模擬結果。
  2. The 10th australian joint conference on artificial intelligence, perth, australia, 1997, pp. 38 - 43. 7 he m, leung h f, jennings n r. a fuzzy logic based bidding strategy in continuous double auctions. ieee transactions on knowledge and data engineering, 2003, 15 : 1345 - 1363

    為了祛除關于信息的不現實的假定，對不確定信息進行描述和推理，在本文中，以概率論為描述不確定信息的理論基礎，提出了一種新的面向agent的概率邏輯程序語言，它把概率程序和實時程序結合起來。
  3. 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。
  4. At last, this thesis figures out an event - based method of air threat assessment through the definitions of the events, the modeling accompanied with xml description of the model, the introduction of the functional architecture model of event correlation, the type of event correlation and the expressions of the theory of this technique, the event deleting and contracting on the data facet, the correlation between the events in causality by bayesian network and the probability reasoning, exemplifying and calculating of bayesian network employed in the construction of threat assessment model of air battle

    最後提出了一種基於事件的空戰威脅估計方法。對事件進行了定義、建模並用xml語言進行了數據描述;介紹了事件關聯功能結構模型;介紹了事件關聯類型及知識表達方式，從數據層進行了事件清理和壓縮，使用貝葉斯網路對因果事件進行關聯，建立了空戰威脅估計貝葉斯網模型、進行了貝葉斯概率推理及算例分析。
  5. 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。
  6. It contributes to the deeper comprehesion of these probability distributions, affords more detailed theoretical basis for further studying and simulating satellite mobile channels, ? theoretical analyses and discussions of the models which are often used in the study of the propagating characteristics of satallite mobile channels are given ; meantime, some discussions on the work of model simulations are also given, ? incorrect derivation of the equality between c. loo model and corazza model in some other papers is pointed out. via the conception of received power, we derivate that in the rural environments these two models really have the equal relationship by the way of theoretical derivation and simulatant fittings. therefore, it is able to use corazza model in studying the characteristics of satellite mobile channels in the rural environments and able to avoid the iterant work of modeling, in order to enhance the efficiency and accuracy of research work, ? detailed processes of simulating lutz model by using matlab6. 0 _ simulink4. 0 and the results of comparisions are given

    本文包含有以下的主要內容： ?對衛星移動通信通道傳播特性研究中常用的三個概率分佈給出了詳細的推導過程；以便對這幾個在衛星移動通信通道傳播特性的研究中常用的概率分佈函數有更深的理解，對進一步研究衛星移動通信通道傳播特性和對通道的建模提供了更為詳盡的理論基礎； ?對衛星移動通信通道傳播特性的研究中常用的通道模型進行了理論上的分析和討論，並對衛星移動通信通道建模的研究工作提出了一定的看法； ?指出了以前的文獻中關于c . loo模型和corazza模型的等同性的證明錯誤；並從接收信號功率的角度出發，通過理論推導及模擬曲線擬合重新證明了在鄉村環境下，這兩個模型的確是具有等同性的；從而在對鄉村環境下的衛星移動通信通道傳播特性進行研究時，可以只採用corazza模型來對實際的通道進行建模，這樣可以避免重復的建模工作並提高研究工作的效率和準確性； ?給出了lutz模型在matlab6 . 0 _ simulink4 . 0環境下的軟體模擬實現的詳細過程和整體模擬測試的對比結果，保證了該模型在硬體實現時的可靠性和可行性，從而可以將它們應用於指導模型的硬體模擬實現並可以降低硬體實現時的風險。
  7. A necessary and sufficient condition with ergodic of 1 - order probability distribution function of stochastic process ( theorem 1 and corollary 1 ) and extended the general distribution theorem of stochastic variable under the case of weakly condition ( theorem2 ) are presented

    摘要提出了隨機過程一階概率分佈函數具有遍歷性的一個充分必要條件（定理1和推論1 ） ，並在較弱條件下，對一般的關于隨機變量函數分佈定理作了進一步的推廣（定理2 ） 。
  8. 8 wang j, ju s, luo x. probabilistic logic programming with inheritance. in proc

    這種概率邏輯程序語言可以實現不確定性下的信念更新，目標更新和不確定性實用推理。
  9. This algorithm laid the foundations of other sampling inference algorithms, such as importance sampling algorithm and like - hood weight sampling algorithm. in this paper, the description of accurate and complexities of some kinds of sampling algorithms are presented on the basis of introduction to basic concepts of bayesian networks. first, the mathematical foundations of them are given here in view of statistics

    本文首先介紹了bayesian網的一般概念及推理任務，並主要著眼于bayesian網推理演算法的數學原理，提出了樣本平均值演算法，對幾種推理演算法從數學角度做出本質性的刻畫，給出各自的復雜度和精確度的理論分析，證明了他們在各種情況下的推理效率。
  10. In this paper, fuzzy pid controller based on t - s model has been studied. due to lacks of criterion of optimization and excessive tuning parameters, the adaptive genetic algorithm with variable cross and mutation probability is used to optimize the parameters and the performance of control systems is improved. firstly, based on modified pid - flc with four fuzzy rules, scaling factor and the fuzzy consequent parameters are optimized by aga with multiple performance indexes respectively

    本文主要研究基於t - s模糊模型構成推理形式的模糊pid控制器，針對以往的模糊pid控制沒有統一的參數整定的準則及大量的待整定參數，本文採用具有動態交叉、變異概率的自適應遺傳演算法（ aga ）優化控制器的待定參數，改善了系統的控制性能。
  11. The two - stage modeling method takes into account the characteristics of software project risk management and software metrics data, integrates qualitative knowledge and quantitative data. to study the software project iterative process risk ’ s bayesian network model, the definition of cyclic bayesian network is presented, probability convergence property of directed cycle in cyclic bayesian network is proved and probability inference method is put forward

    論文在軟體項目迭代過程風險的貝葉斯網路模型研究中，定義了有環貝葉斯網路，證明了有環貝葉斯網路中有向環的概率收斂性質，給出了有環貝葉斯網路的概率推理方法。
  12. In 1991, he introduced the concept of soft computing, the principal constituents of which are fuzzy logic, neural network theory and probabilistic reasoning

    一九九一年澤德教授提出軟計算的概念，內容主要包括快思邏輯、神經網路理論及概率推理。
  13. Application of bayesian network and its probability reasoning to intelligent tutoring system

    貝葉斯網及其概率推理在智能教學中的應用
  14. For cases that are hard to find evidences, we often use fuzzy inference, probability reasoning and instinctive reasoning to demonstrate the facts of the case

    對舉證困難的案件，常用模糊推理、概率推理和直覺推理來論證案件事實。
  15. While, study the scheduling bayesian network to model software project scheduling risk. the modeling method, related calculation and probability inference algorithm are presented

    在進度貝葉斯網路的研究中，給出了軟體項目進度風險的建模方法、模型中的相關計算以及概率推理演算法。
  16. 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。
  17. In factual world, the uncertainty is very rich. in expert system, usually probability is defined as subjective credit degree of experts to evidence and regulation, and bayes theorem is key solution in probability reasoning

    在專家系統中，概率一般解釋為專家對證據和規則的主觀信任度，在概率推理中起著支撐作用的是貝葉斯定理。
  18. 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。
  19. ( 5 ) a series of design methods of classifiers are proposed, including the classifier based on the generalized inverse and the probabilistic reasoning method ( prm ), a new self - adaptive kohonen clustering network which overcomes the shortcomings of the conventional clustering algorithms, and the fuzzy neural classifier. the experimental study efface recognition is presented based on the combination of multi - feature multi - classifier. ( 6 ) this paper proposes a hybrid feature extraction method for face recognition, which is a combination of the eigen matrix, fisher discriminant analysis, and the generalized optimal set of discriminant vectors

    （ 5 ）對圖象分類器設計方法進行研究，主要包括：提出了一種基於廣義逆和概率推理的分類器設計方法；提出了一種新的自適應模糊聚類演算法；提出了基於模糊神經網路的分類器設計方法；並對多特徵多分類器組合方法在人臉識別中進行實驗研究； （ 6 ）提出了一種只要一個訓練樣本就能解決人臉識別問題的新方法，該方法結合了特徵矩陣、 fisher最優鑒別分析和廣義最優鑒別分析方法的優點。
  20. The article gives a mathematical formula theory based on kolmogorov ' s complexity, description probability, orinducing probability, and its explanation and gives a way in which mathematical representation is able to be explored

    摘要本文根據貝葉斯公式，推理概率等理論推導，討論了情報學研究中的幾個原則，並給出了相應的解釋。
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