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probabilistic approach in Chinese

Pronunciation:
How to pronounce "probabilistic approach""probabilistic approach" in a sentence

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  • 概率逼近

Examples

  • Parametric uncertainty ; probabilistic approach ; robust controller synthesis
    參數(shù)不確定性概率方法魯棒控制器綜合
  • Probabilistic approach to facial feature extraction based on statistical shape models
    基于統(tǒng)計(jì)形狀模型的面部特征提取隨機(jī)方法
  • Probabilistic approach to robust controller synthesis probabilistic approach to robust controller synthesis
    概率方法在魯棒控制器綜合中的應(yīng)用
  • The probabilistic approach opens doors to classification techniques that are totally impossible with binary rule - based filters
    而對于后繼的用戶，當(dāng)升級垃圾郵件過濾器時(shí)（甚至當(dāng)升級到
  • Yu - chung lee , hsiao - lin teng , wei - jaw deng , “ a complementary methodology to probabilistic approach to measure banking service quality , ” apiem2005 , , ( 2005 )
    鄧肖琳，大專院校全球化導(dǎo)入程度之相關(guān)性探討， 2005管理方法與應(yīng)用新思維國際研討會，長庚大學(xué)，桃園，第-頁( 2005 ) 。
  • Among the probabilistic approaches , pearl ' s belief network is the most representative , due to its rigorousness and consistence in theory , the efficient local computation mechanism and intuitive graphical expression of knowledge
    在概率方法中，信度網(wǎng)由于其理論的健壯性和一致性、有效的局部計(jì)算機(jī)制和直觀的圖形化知識表達(dá)方式而日益受到重視。
  • A probabilistic approach to robust controller synthesis for a class of linear and multilinear interval control system involving real parameter uncertainty is presented , it is mainly based on some important results on robust stability analysis and design as well as probabilistic ideas . examples in the paper show that this approach is feasible and very effective
    針對具有實(shí)參數(shù)不確定性的一類線性和多線性區(qū)間控制系統(tǒng)，在現(xiàn)有的魯棒穩(wěn)定性分析和設(shè)計(jì)的工具基礎(chǔ)上，結(jié)合概率方法提出了一種魯棒控制器的設(shè)計(jì)方法和步驟，文中的計(jì)算實(shí)例表明了這種方法的可行性和有效性。
  • The probabilistic approaches include the belief network , the dynamic causality diagram , the markov network , the approach used in prospector , etc . the non - probabilistic approaches include the certainty factor theory in mycin , fuzzy set logic , dempster - shafer theory , etc . the non - probabilistic approaches have reached some achievement in their respective application domain , and shown their shortage while applying
    另一類是非概率的方法，包括mycin的可信度因子( certaintyfactor ) 、模糊邏輯( fuzzylogic )以及dempster - shafer的證據(jù)理論等。非概率的方法雖然在各自的應(yīng)用領(lǐng)域都取得了一定成果，但在運(yùn)用過程中人們越來越意識到這類方法的不足。
  • Pseudo excitation method ( pem ) is used , thus one random process excitation can be transformed into a deterministic transient excitation , so the joint - random problem is turned into a single - random problem accurately , it can be solved easily by means of perturbation method and sequence orthogonal decomposition theory respectively . the probabilistic approach is used to transform stochastic optimization into deterministic optimization , therefore the optimization can be achieved through multiple objective decision making theory
    以虛擬激勵(lì)法為基礎(chǔ)，將隨機(jī)過程激勵(lì)轉(zhuǎn)化為確定性動力激勵(lì)，從而將復(fù)合隨機(jī)問題精確地轉(zhuǎn)化為僅結(jié)構(gòu)參數(shù)具有隨機(jī)性的問題，分別利用攝動理論和次序正交分解理論推導(dǎo)了確定性動力激勵(lì)下隨機(jī)結(jié)構(gòu)響應(yīng)特征，采用概率方法將隨機(jī)優(yōu)化問題轉(zhuǎn)化為確定性優(yōu)化問題，從而可以通過多目標(biāo)決策理論進(jìn)行結(jié)構(gòu)優(yōu)化設(shè)計(jì)。

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