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(duì)于后繼的用戶,當(dāng)升級(jí)垃圾郵件過(guò)濾器時(shí)(甚至當(dāng)升級(jí)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(guó)際研討會(huì),長(zhǎng)庚大學(xué),桃園,第-頁(yè)( 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(shí)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(duì)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(guò)程中人們?cè)絹?lái)越意識(shí)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(guò)程激勵(lì)轉(zhuǎn)化為確定性動(dòng)力激勵(lì),從而將復(fù)合隨機(jī)問(wèn)題精確地轉(zhuǎn)化為僅結(jié)構(gòu)參數(shù)具有隨機(jī)性的問(wèn)題,分別利用攝動(dòng)理論和次序正交分解理論推導(dǎo)了確定性動(dòng)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(wèn)題轉(zhuǎn)化為確定性優(yōu)化問(wèn)題,從而可以通過(guò)多目標(biāo)決策理論進(jìn)行結(jié)構(gòu)優(yōu)化設(shè)計(jì)。