模擬貝斯 的英文怎麼說

中文拼音 [mónǐbèisī]
模擬貝斯 英文
analog bass
  • 模 : 模名詞1. （模子） mould; pattern; matrix 2. （姓氏） a surname
  • 擬 : 動詞1. （設計; 起草） draw up; draft 2. （打算; 想要） intend; plan 3. （模仿） imitate
  • 貝 : 名詞1 [動物學] （蛤螺等有殼軟體動物的統稱） cowry; cowrie; shellfis 2 （古代用貝殼做的貨幣） cowr...
  • 斯 : Ⅰ名詞（古代驅疫時用的面具） an ancient maskⅡ形容詞[書面語] （醜陋） ugly
  • 模擬 : imitate; simulate; analog; analogy; imitation; simulation模擬艙 boilerplate; 模擬電路 [電學] circ...
  • 貝斯 : alkemya: boubanebass boubane
  1. Cbr systems have lots of strongpoints, such as the completely expressing of the information, the incrementally learning, the precisely simulating of the visualized thought, the conveniency of the obtaining knowledge, the h igh efficiency of solving new things and so on

    Cbr的顯著優點有：信息的完全表達，增量式學習，形象思維的準確模擬，知識獲取較為容易，求解效率高等。本論文研究了貝葉斯網路、範例推理以及貝葉斯網路在範例推理中的應用。
  2. This paper introduces the history background of information science with cognition in the first part, and in the second and third part author enumerates classical theory of information science with cognition in detail, such as brookes " cognition for information science, belkin ' s ask theory, dervin ' s sense - making theory, and the relevant research of p. ingwersen and b. hjorland, and evaluates the cognition for information science, for example, the research focus of cognition of information science be human, and cognition for information science attach important to the research of user ' s cognitive simulation

    本文在第1部分介紹了情報學認知觀產生的歷史背景；在第2 、 3部分詳細地列舉了情報科學認知觀的代表理論，諸如布魯克斯的情報科學認知觀、貝爾金的ask理論、德爾文的意義建構理論，以及對英格沃森、赫約蘭德的相關研究；並對情報學認知觀作出了評價：比如，認知觀點將研究的焦點對準過程中的人、情報學認知觀點十分重視用戶的認知模擬研究等。
  3. The effects on its performance by the factors such as sanpshots and number of array sensors are investigated and their relations are also qutitantively analyzed. 2

    其次通過大量計算機模擬，深入分析了快怕數和陣元數對貝葉斯高分辨目標方位估計方法性能的影響。
  4. The window function of circular hard - edge apertures is simulated and optimized by the laguerre - gauss truncated series, and applied to study the diffraction of gaussian beams and 0 - order bessel - gaussian beams by the hard - edge aperture

    摘要用拉蓋爾高斯截斷級數模擬了任意半徑的圓孔硬邊光闌窗口函數，並應用於研究高斯光束和零階貝塞爾高斯光束通過硬邊光闌的衍射。
  5. An efficient implementation of this framework is presented, for segmenting two motions ( foreground and background ) using two frames. the expectation - maximization algorithm is used to determine the two motions and calculate the label probability for each edge. the best motion labeling for these regions is determined using simulated annealing

    針對前景和背景兩種運動分割的情況，本文給出了一種基於貝葉斯分割框架的有效實現，它使用最大期望（ em ）演算法來估算邊緣的標定概率，並通過模擬退火演算法來完成這些分割區域的最佳運動標定。
  6. Bayesian credibility model for experience rating based on mcmc method

    穩態模擬的貝葉斯經驗費率釐定信用模型
  7. This paper studies 3 kinds of algorithms : the viterbi algorithm, multiresolutional algorithm based on wavelet transformation and bayesian bootstrap algorithm. the viterbi algorithm is based on the hidden markov model theory and it is a kind of map estimation, this paper studies this algorithm and puts up an algorithm that suits for filtering in the presence of interference. multiresolutional algorithm takes full advantage of multiresolutional data, we can see it has a better filtering ability than the traditional filtering methods ; bootstrap algorithm is a recursive bayesian estimation, it describes the probability density function by the samples, so it can be used to nonlinear non - gaussion filtering, the simulation result of the two groundings is presented

    Viterbi演算法以隱馬爾可夫理論為基礎，是一種最大后驗概率估計方法，本文對該演算法進行了研究，給出了一種適合於非高斯干擾條件下的濾波方法；多分辨分析方法充分利用到了多解析度測量數據所包含的信息，從模擬結果中可以看出，該方法的濾波精度要高於傳統的濾波演算法；自主濾波方法是一種遞推貝葉斯估計演算法，它利用采樣點來描述目標狀態的概率密度函數，因而適用於非線性、非高斯條件下的濾波，本文分別對這兩種情況下的濾波進行了模擬。
  8. The particle filter is a filter method based on monte - carlo simulation and recursive beyesian estimation

    粒子濾波是一種基於蒙特卡羅模擬和遞推貝葉斯估計的濾波方法。
  9. This research addressed an urban traffic intelligent control system, which adopts a multi - agents coordination in urban traffic control to coordinate the signal of adjacent intersections for eliminating the congestion of traffic network. an agent represents a signal intersection control, and multi - agents realize coordination of multiple intersections to eliminate congestion. based on recursive modeling method and bayesian learning that enables an agent to select his rational action by examining with other agents by modeling their decision making in conjunction with dynamic belief update. based on this method, a simplified multi - agent traffic control system is established and the results demonstrate its effectiveness. it is very important for its

    本文中提出一種城市交通智能控制系統，針對城市交通網路中相鄰交叉口的交通流可能相互沖突，即局部交通流的優化可能引起其他區域交通狀況的惡化的問題，採用多智能體協調控制方法來協調相鄰交叉口處的控制信號消除網路中的交通擁塞.提出以一個智能體的方式實現一個信號燈交叉口控制，對多個信號燈交叉口形成的交通網路採用多智能體協調控制的方式實現網路流量優化來消除擁塞.文中提出由遞歸建模和改進的貝葉斯學習相結合的多智能體系統來使智能體可以確定其他智能體的準確模型並實時更新信息，並基於上述方法在簡單的交通網路模型上建立了多智能體交通控制系統，模擬結果表明了方法的有效性，對實現智能交通系統有重要意義
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