概率統計計演算法 的英文怎麼說

中文拼音 [gàilǜtǒngjìjìyǎnsuànfǎ]
概率統計計演算法 英文
computational methods of probabilistic statistics
  • 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
  • 統 : Ⅰ名詞1 （事物間連續的關系） interconnected system 2 （衣服等的筒狀部分） any tube shaped part of ...
  • 計 : Ⅰ動詞1 （計算） count; compute; calculate; number 2 （設想; 打算） plan; plot Ⅱ名詞1 （測量或計算...
  • 演 : 動詞1 （演變; 演化） develop; evolve 2 （發揮） deduce; elaborate 3 （依照程式練習或計算） drill;...
  • 算 : Ⅰ動詞1 （計算數目） calculate; reckon; compute; figure 2 （計算進去） include; count 3 （謀劃;計...
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  • 概率 : [數學] probability; chance概率論 probability theory; theory of chances; 概率曲線 probability curv...
  • 統計 : 1 （對有關數據的搜集、整理、計算和分析） statistics; census; numerical statement; vital statistic...
  1. And then facing the problem of the channel estimation of the adaptive modulation system, we conclude out the channel estimation algorithms on maximum likelihood ( ml ) estimation and maximum a posteriori ( map ) estimation under the condition of flat fading channel and selective fading channel in detail. to meet flat fading channel, we simulate the relationship of the ratio between the error covariance in map estimation and ml estimation and pilot symbol message length. the conclusion can be drawn from these results

    接著，對自適應調制系統中的通道估計問題難點，詳細推導了平衰落通道條件下和選擇性衰落通道條件下最大似然（ ml ）估計和最大后驗概率（ map ）估計演算法，針對平衰落通道，我們模擬了map估計和ml估計的方差與導頻符號長度的關系，模擬結果表明，錯誤方差受多譜勒頻率的變化影響最大，並且對實際的自適應調制系統，導頻符號長度的取值超過20個符號長度時， map通道估計明顯優于ml通道估計。
  2. The method proposed in this thesis do well in solving the problems of multi - damping - ratio - spectra simulation. it is convenient to obtain the pareto optimal solution set of the multi - object question by using implicit parallel genetic algorithms and the method can meet the practical needs for simulating ground motions coinciding with multi - damping - ratio - spectra in seismic design. the crossing rate and variance rate are important parameters of genetic algorithms which affect the rate of convergence, the adapting rate of cross and variation in this paper can auto - adapt and according to stand or fall of current sample, it assures the sample approach to the pareto optimal solution set in fast convergent speed

    較好地解決多阻尼比反應譜擬合問題；本文方法通過一次運行就能獲得一組具有集系特性的地震動，在擬合多阻尼比反應譜的人造地震波集系的模擬方面有傳統方法所不能比擬的優勢，產生的人造波或人造波集系可滿足工程抗震設計需要；在遺傳演算法中，交叉概率和變異概率是影響收斂速度的重要參數，本文採用的改進自適應交叉概率和變異概率，可以根據當前樣本的好壞程度來自動地選擇適當的交叉概率和變異概率，以保證演算法始終以較好的速度向pareto最優解集逼近。
  3. 3, on the base of the traditional spatial filtering, the author present, a new despeckle algorithm, that make use of iterated processing and correlated neighbourhood model, iterated filtering method of the sar image combining the correlated neighbourhood model with maximum a posteriori filter. first, a series of templates refecting direction information are established and every template is present for a kind of neighbour structure. then on the basis of sar images statistical property, the maximum a posteriori estimate of the real intensity under observation image values is got by bayes formulatio - n

    3 、針對傳統空間濾波器的不足，引入迭代處理和相關鄰域模型的概念，提出了基於相關鄰域模型的最大后驗迭代濾波。該演算法引用一系列反映局部邊界特徵的鄰域模型，以描述圖像的細節。引入強度的先驗概率分佈模型，利用bayes方法，對各個結構進行實際強度的最大后驗估計。
  4. We analyze the assembly model and propose a mathematics model and tree - representing model of the assembly who not only has a small data size, but also can be manipulated easily. this thesis not only gives the virtual representing concept the instance representing one, but also defines the concept of assembly constraint such as coupling, being alignment, being coaxial and being equidirectional. based on such concepts, a revised newton - raphson iterative algorithm is proposed, which can deal with the singularity and ill - condition of jacobi matrix

    首先分析了裝配體的模型問題，提出了裝配體的數學模型及樹形式表示的裝配體表示模型，模型具有數據量小、操作簡單的優點：文章對所涉及的約束諸如耦合、對齊、同軸、同向的裝配體位置描述概念進行了定義，引入了裝配約柬概念，從而提高了裝配設計效率；在此基礎上，文章討論了裝配約束的求解方法，提出了newton rapson迭代法的改進演算法，使得系統能更好地處理jacobi矩陣的奇異和病態的情形。
  5. A systematic summary of previous work has been given first. then this paper presents a novel multi - stage face detection algorithm, which makes a good use of human face pattern ' s valuable information in colour image sequences. the difficult detection task has been divided into four steps : the preprocessing, which is to gain skin colored regions with human skin color model ; the roughly detection and face region refining by elliptic curve fitting ; the fine detection with facial features " detection and location ; the face / non - face classification step based on pca and gaussian density estimation technique

    本文對彩色序列圖像中的人臉檢測和跟蹤技術進行了深入的研究，其具體內容為：對近年來的研究工作進行了系統的介紹；提出了一個由粗到細的多階段的人臉檢測演算法，該演算法充分利用了序列圖像中人臉模式的各種有用信息，將復雜的檢測工作分為了四個部分：膚色區域分割預處理，人臉粗檢及利用橢圓擬和的人臉區域提煉，應用人臉基本特徵檢測和定位的人臉細檢， pca結合高斯概率密度估計的人臉驗證。
  6. The adaptation processing includes linear prediction coefficient adaptation and adaptation of quantization step size for residual signals. based on g. 726, we adopt a huffman coder to make use of probability statistic of bit cascade covering n ( n 1 ) samples generated from adpcm, in order to further reduce the bit rate. ng is lossless entropy coding, the speech quality of our improved algorithm should be same as that of g. 726 standard

    我們的研究和改進工作包括:研究最優非均勻自適應量化器，及其自適應演算法;研究波形預測函數，以及函數零點、極點的自適應演算法;基於每n （ n 1 ）個樣本所對應符號的概率統計，對預測殘差量化值再進行huffman編碼，進一步降低比特率。
  7. A concept - based approach is expected to resolve the word sense ambiguities in information retrieval and apply the semantic importance of the concepts, instead of the term frequency, to representing the contents of a document. consequently, a formalized document framework is proposed. the document framework is used to express the meaning of a document with the concepts which are expressed by high semantic importance. the framework consists of two parts : the " domain " information and the " situation background " information of a document. a document - extracting algorithm and a two - stage smoothing method are also proposed. the quantification of the similarity between the query and the document framework depends on the smoothing method. the experiments on the trec6 collection demonstrate the feasibility and effectiveness of the proposed approach in information retrieval tasks. the average recall level precision of the model using the proposed approach is about 10 ? higher than that of traditional ones

    為了獲取詞語在文章中的語義權重，解決詞語的同義、多義模糊問題，提升信息檢索的效率，提出了一種基於概念的檢索模型，模型中設計了一種形式化的文本內容表示框架，框架由2部分構成:文章的"領域"以及"情景與背景"信息，並由概念（形式化語義）加以表示.同時，提出了提取該概念框架的方法，給出了用於框架與檢索要求間匹配的兩階段平滑演算法.實驗表明，在trec6提供的小規模語料集下，採用所提出方法的信息檢索模型與傳統模型相比，平均召回準確率提升了約10 ? ，效果顯著，充分說明了基於本文描述方法構建的、以概念作為處理中介的信息檢索系統的有效性和可行性
  8. It ' s a pity that although there are many papers and articles focused on data mining published every year, most of them deal with data mining concept and abstract algorithm theory, it is hardly to see their real implementation and application, in this context, when i was in my graduate exercitation in a company in beijing, which focus on developing supermarket software, i joined and completed an olap ( online analytical processing ) project, merchandise analysis and sale report system, which based on microsoft analysis service and microsoft sql server. i also design and implement three important algorithms : merchandise association rule algorithm based on multi - level merchandise category, supermarket member customer shopping frequent sequence generating algorithm, customer classification ( decision tree ) algorithm which based on information entropy and conditional probability tree, and they all achieve expected result

    本文作者在實習期間，參與並完成了基於微軟分析服務器的銷售分析與報表系統；並在公司即將開始的數據挖掘項目中，完成了多個重要演算法的設計和c + +程序實現：基於多層分類商品樹的商品關聯規則演算法，會員顧客的購物頻繁序列模式產生演算法；基於信息熵理論和條件概率樹的會員顧客分類（決策樹）演算法，並分別使用數據進行了測試，取得了較好的結果。
  9. This thesis first describes the general research development of bp network, kde, genetic algorithm, arx model and their specific application in dms such as architecture, algorithm - flow etc. then the paper introduces the distributed object technique with the focus on the description of corba and the specific developing tools visibroker. finally, a multi - client distributed monitoring system based on corba is developed with multi - technologies referred before

    本文首先系統地介紹了bp神經網路、核函數概率估計（ kde ） 、遺傳演算法（ ga ）和帶外生變量的自回歸模型（ arx ）發展和研究概況以及上述建模演算法在分散式監測系統中的應用，並給出了運用石油流化催化裂化模擬設備的數據測試結果。
  10. There are mainly two type of algorithms used for spatial spectrum estimation : one is those based on bayesian maximum likelihood method, like the ml ( maximum likelihood ) algorithm, maximum entropy method and etc., the others are based on the spatial decomposition or projection of correlation matrix, this kind of algorithm include vector characterization method, music ( multiple signal classification ) algorithm, projection matrix method, etc. music is a classical spatial spectrum estimation algorithm that has a super high resolution and is widely used today, however, it cannot estimate doa of signals that are correlated

    空間譜估計的演算法大致分兩大類:一是基於極大似然估計和最大后驗概率估計統計理論的演算法，包括:極大似然估計法（ ml ） 、最大熵法等;另一類是基於對協方差矩陣進行子空間分解或投影的演算法，包括:矢量特徵法、多重信號分類法（ music ） 、投影矩陣法等。其中， music法是一種經典的空間譜估計主流演算法，具有超強的分辨性能，但它無法實現對相干信號進行測向分辨。
  11. Then the exisiting algorithms on iris location are studied and the disadvantages are pointed. a new approach based on edge detection, mathematic morphology and probability statistic is put forward. after studing the means of daugman ’ s encode of iris texture and w. w. boles ’ extraction the unique features by the zero - crossings of the wavelet transform, we adopted wavelet multi - resolution analysis that extract the feature

    在研究和分析了前人的虹膜定位演算法以及daugman對虹膜紋理的編碼方法、 w . w . boles的小波過零點分析提取虹膜特徵識別演算法的基礎上，研究了基於邊緣檢測和數學形態學以及概率統計等理論的一種新的虹膜定位方法;研究了虹膜圖像的歸一化和圖像增強;研究了基於db4小波的多分辯率分析的虹膜特徵提取演算法;研究了相關系數匹配識別。
  12. The difference between this algorithm and traditional genetic algorithm lied in the fact that this algorithm adopted order crossover and cell exchange mutation methods ; at the same time crossover probability and mutation probability were optimized

    與傳統遺傳演算法不同的是，該演算法採用了順序交叉和單元交換變異方式，同時對交叉概率和變異概率進行了優化設計。
  13. The value of the statistical distributing of the spam keys can be also adjusted during the running of the system so that enhance the self - adaptation of the system. at last, the author tests the whole system and demonstrates this system is reasonable and correct by the testing data

    最後，作者對郵件防火墻系統進行了實驗測試，證明該系統方案設計是合理、可行的，基於貝葉斯概率統計分佈的郵件過濾演算法能有效提高垃圾郵件過濾的效率，具備一定的智能性和自適應性。
  14. 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。
  15. In this dissertation, the research trends for the problem have been introduced ; the ‘ dim ’ and ‘ point ’ has been strictly defined in mathematics from machine vision and human vision ; the ideal clutter suppression system based on clutter predication and the realization and evaluation of evaluation index has been studied, in succession the clutter suppression technologies have been researched. firstly, the classic nonparametric algorithm has been analyzed in detail and systematically, for it ’ s weakness that it cannot remove the non - stationary clutter ideally, kalman filter algorithm for clutter suppression in 2d image signal has been built. secondly, fast adaptive kalman filter is presented based on fast wide - sense stationary areas partition algorithm : limited combination and division algorithm based on quarti - tree algorithm, new taxis filter route algorithm which can break through the limitation of the necessity of pixel neighborhood of 2d filter and laplace data model with two parameters which is perfectly suitable for the residual image of kalman clutter suppression

    首先分析了經典的非參數法，對於四種具有代表性的核，從前述的三個性能評價方面做了分析和對比，指出了其速度快的優點和對非平穩圖像適應性差的弱點，針對非參數法的弱點，重點研究了對非平穩圖像適應良好的卡爾曼雜波抑制技術:建立了非平穩圖像的類自回歸模型，在此基礎上建立了二維卡爾曼濾波基礎的兩個方程:狀態方程和測量方程;建立了非平穩圖像準平穩區域快速劃分演算法:基於四叉樹法的有限分裂合併演算法;二維空間的基於k排序的濾波路線演算法，突破了空域濾波路線上區域相鄰的限制;在這些研究的基礎上實現了快速卡爾曼估計，實驗驗證了該方法相對逐點卡爾曼估計可以提高運算速度三倍左右;雜波抑制結果表明傳統的高斯性檢驗並不適合卡爾曼估計后的殘余圖像，由此建立了殘余圖像的雙參數拉普拉斯模型，實驗表明其可以完好的吻合殘余圖像的概率密度曲線。
  16. The first chapter in this paper provides a survey of data mining technology, and explains basic concepts, function and the whole framework of data mining and difficulties in developing and some future directions in association rule generation ; the second chapter introduce the basic concepts, brings forward a classification of association rule ; the third chapter give a deep research on algorithms of every kind of association rule, include mining single - dimensional signal - level association rule and multidimensional multilevel association rule, it describes these algorithm, point out some method to optimize this algorithm and test its quality with experiments ; the fourth and fifth chapter introduce the designs about association rule mining system basing on relation database visual foxpro in detail : according to system frame of the association rule mining, actualize a new mining algorithms and analyses every function module of program, at last further analyses the left problems in designs

    本論文第一部分對數據挖掘技術進行了總體介紹，說明了基本概念、功能和系統總體框圖以及發展中的難點和研究方面；第二章對關聯規則基本概念的進行了介紹，提出了關聯規則的分類方法；第三章探討了挖掘各種關聯規則的演算法，從挖掘單維單層布爾關規則的經典的apriori開始，分析了挖掘單維、多層關聯規則的演算法，多維關聯規則的演算法到多維多值屬性關聯規則的演算法。文中提出演算法優化方法，並對其性能進行了實驗測試；第四部分、第五部分詳細介紹了基於關系型數據庫的關聯規則挖掘系統的設計構思，根據關聯規則挖掘系統結構框架，實現了基於visualfoxpro的關聯規則挖掘系統，其于採用了一個新型的基於關系數據庫的關聯規則挖掘演算法，提高了挖掘效率，並詳細分析了程序設計的各個功能模塊，最後就設計中遺留的問題進行了進一步的分析。
  17. The unigram hmm based on the probabilistic method and viterbi algorithm are proved effective in solving the problem of uyghur pos tagging effectively

    實驗證明，基於概率統計的一階隱馬爾可夫模型以及viterbi演算法能有效的解決維吾爾語詞性標注的問題。
  18. Jmpda skillfully avoids calculating of the association probabilistic which has high complexity and costs too much time. in order to use the four channels of hfgwsr, jmpda is combined to parallel filter, thus we obtain the whole algorithm ? ? multi sensor joint maximum probabilistic data association based on parallel filter ( msjmpdapf ) 。 3

    該演算法巧妙的迴避了jpda演算法中復雜度很高耗時嚴重的關聯概率kj ， t的計算，並將改進之後的jmpda演算法應用於多傳感器系統得到msjmpda演算法。
  19. After reviewing several smoothing algorithms for hybrid estimation, we presented a sub optimal approach to the d step fixed - lag smoothing problem for markovian switching system by applying the basic imm structure to the system with augmented system state and mode probability. the new fixed - lag smoothing

    該演算法將imm演算法應用於系統狀態和模型概率同時擴維的系統，能夠實時計算模型概率平滑值，為實時判斷系統模式切換提供依據，並彌補了chen演算法的任意步固定滯后平滑演算法的理論缺陷。
  20. Its computational complexity for positive region and reduct is o m 2 - tm n instead of o m - tm n 2 in discernibility - matrix - based approach, and is not over o n 2 for other concepts in rough sets, where m and n are the numbers of attributes and objects respectively in a given dataset also called an - it information system in rough sets

    由於reduct是給定信息系統屬性集合的一個屬性子集， reduct可以考慮為特徵選擇的一個解答，因此， reduct理論的另一個可能應用是特徵選擇。無論是情報分析還是特徵選擇，關于這些應用的一個共同要求是，有關計算reduct核以及reduct理論中其它概念的演算法效率必須高。
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