類別概率 的英文怎麼說

中文拼音 [lèibiégàilǜ]
類別概率 英文
class probability
  • 類 : Ⅰ名1 （許多相似或相同的事物的綜合; 種類） class; category; kind; type 2 （姓氏） a surname Ⅱ動詞...
  • 別 : 別動詞[方言] （改變） change （sb. 's opinion）
  • 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
  • 類別 : classification; category; genre; family; tier
  • 概率 : [數學] probability; chance概率論 probability theory; theory of chances; 概率曲線 probability curv...
  1. Following the research route of mend with study and development with creation, give the definition of risk and the methods of risk identifying, divide the risk attitude into risk loving, risk neutralism and risk avoiding, point out the importance of enhancing the risk consciousness for lightning hazard, and summarize the mechanisms of lightning hazard the theories and methods of risk assessment for lightning hazard. provide a set of risk assessment parameters for lightning hazard, which includes lightning times n, hazard probability p, hazard loss d, hazard risk r and protection efficiency e, and give the definition, decisive factor, value method and value scope of each parameter. establish a risk assessment model for lightning hazard which includes lightning hazard base module, lightning hazard probability module, lightning hazard loss module, lightning hazard accepted risk module, lightning protection cost module, correcting coefficient module, lightning hazard risk module, and lightning protection class and efficiency module

    遵循借鑒改造和發展創新的研究思路，給出了風險的定義和風險識別的方法，將風險態度分為風險喜好型、風險中庸型和風險逃避型，指出了提高雷電災害風險意識的重要性，總結了雷電災害的作用機制和雷電災害風險評估的理論與方法；提供了包括雷擊次數n 、雷災概率p 、雷災損失d 、雷災風險r和雷電防護級別與防護效率e等5類基本參數的雷電災害風險評估參數體系，並給出了各個參數的定義、參數的決定因素和取值方法以及取值范圍；設計了包括雷電災害基礎模塊、雷電災害概率評估模塊、雷電災害損失評估模塊、雷電災害允許風險評估模塊、雷電防護成本評估模塊、校正系數模塊、雷電災害風險評估模塊、雷電防護級別與效率分析模塊等8個模塊的雷電災害風險評估模型，評估模型以iec61662的評估模型為基本參考，以雷災損失d為中心，把雷災風險劃分為經濟雷災風險r _ e和人身雷災風險r _ l ，並對r _ e和r _ l分開單獨處理。
  2. This paper adopts the word class based segmentation probability model. this model classifies words into many word classes and brings these classes into a unified frame of probability model

    文本採用了基於詞類的分詞概率模型，此模型把詞歸為若干類別並且把這些類別納入到一個統一的概率模型框架下。
  3. The d - s rule of the information fusion of rockmass mechanical parameters is presented. meanwhile, the basic probability assignments, belief functions, plausibility functions, and similar probability functions are given. this method is applied to an example of analysis and selection for rockmass mechanical parameters of the rock engineering, and the satisfactory results are obtained

    構造了巖體力學參數的識別框架，建立了巖體力學參數的基本可信度分配的應用模型，定義了巖體力學參數的信度函數、似真度函數、以及類概率函數，提出了巖體力學參數的d - s信息融合法則，明確了巖體力學參數d - s信息融合方武漢理工大學博士學位論文法的實施步驟。
  4. The paper divided turbidite fan in deep water from long source into braided channel microfacies, inter - braided channel microfacies, medium fan over - belt microfacies, and external fan subfacies, and divided slump turbidite which related with delta into medium fan subfacies and external fan subfacies, and summed up 15 kinds of marking of subfacies and microfacies classification. at the same time, it formed a series of effective technology of analyzing turbidite source at the base of studying region geological which combined with analyzing the content change of terrigenous debris, with the found of logging facies, and with the ancient terrestrial magnetism test and other technology means under the guidance of three - dimensional model of turbidite which has been founded already and the flat surface feature of microfacies

    將遠源深水濁積扇劃分為辮狀水道微相、辮狀水道間微相、中扇過渡帶微相和外扇亞相；將與三角洲有關的滑塌濁積扇劃分為中扇和外扇兩個亞相，並總結了濁積巖沉積劃分各種亞相、微相類型的十四種標志，分別為:巖石類型、層理類型、砂巖單層厚度、粒度結構特徵（粒度中值、分選性、概率曲線） 、生物化石、儲層物性（孔隙度、滲透率） 、泥巖隔層特徵（泥巖單層厚度、層數、顏色） 、鮑瑪層序組合和自然電位曲線特徵。
  5. As well known, sorting algorithm is very important for application, especially data mining recently. this thesis presents a subsection insertion - sorting algorithm with equal probability data segmentation and multi - resource data equal probability statistical subsection insertion - sorting algorithm

    本文提出了數據等概率分檔排序演算法和多數據源數據等概率分檔排序演算法，實驗結果表明，這兩個演算法分別好於同類演算法。
  6. Monte carlo is a method that approximately solves mathematic or physical problems by statistical sampling theory. when comes to bayesian classification, it firstly gets the conditional probability distribution of the unlabelled classes based on the known prior probability. then, it uses some kind of sampler to get the stochastic data that satisfy the distribution as noted just before one by one

    蒙特卡羅是一種採用統計抽樣理論近似求解數學或物理問題的方法，它在用於解決貝葉斯分類時，首先根據已知的先驗概率獲得各個類標號未知類的條件概率分佈，然後利用某種抽樣器，分別得到滿足這些條件分佈的隨機數據，最後統計這些隨機數據，就可以得到各個類標號未知類的后驗概率分佈。
  7. The main conclusions are following : ( 1 ) compared with the conventional mlc, the method of iterative prior probability based on the vector map can dispel the prior probability ’ s influence and the overall accuracy and kappa index can be improved ; ( 2 ) to the types with greater area than average area of all types, the producer ’ s accuracy will be improved while user ’ s accuracy be lessened, but to the ones with smaller area, the situation is just the opposite

    本研究的主要結論是: （ 1 ）與傳統的最大似然法分類相比，利用地理數據矢量化得到的先驗概率進行迭代，可進一步消除先驗概率對最大似然分類法分類結果的影響，使分類總精度和kappa指數有進一步提高; （ 2 ）分佈面積大於平均值的類別，生產者精度一般會變高，使用者精度會變低;分佈面積小於平均值的類別，生產者精度一般會變低，使用者精度會變高。
  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. Using the theories of probability, algebra and number theory comprehensively, we investigate a class of boolean functions with three - valued walsh spectrum in the first part of this dissertation : the properties of the extended semi - bent functions, which are constructed from any two bent functions, are studied, followed by the structure characteristics of the boolean functions satisfying propagation criterion with respect to all but two vectors ; the definition and cryptographic properties of k - order quasi - bent functions are proposed whose walsh spectrum takes on only three values. some sufficient and necessary conditions are offered to decide whether a boolean function is a k - order quasi - bent function ; a special method is presented to construct the k - order quasi - bent functions, whose cryptographic properties are explored by the matrix method, which is different from the method of walsh spectrum and that of autocorrelation of boolean functions ; the application of this kind of boolean functions in the fields of stream cipher, communications and block ciphers is discussed, which shows the great importance of the fc - order quasi - bent functions ; some methodology are proposed to construct the k - order quasi - bent functions, including the complete construction by using the characteristic matrices of boolean functions, and the recursive method by two known k - order quasi - bent functions we further extend our investigation to the ring zp, where p is a prime, and the similar results are presented as far as the p - valued quasi - generalized - bent functions are considered

    本文首先綜合運用概率論、代數學、數論等基礎學科的理論知識，並以頻譜理論作為主要研究工具，對一類譜值分佈相對均勻的函數? ?廣半bent函數、 k階擬bent函數和p值k階擬廣義bent函數進行了系統、深入的研究，給出了廣半bent函數定義，並探討了廣半bent函數的密碼學性質；給出了k階擬bent函數和p值k階擬廣義bent函數的定義及等價判別條件；討論了k階擬bent函數和p值k階擬廣義bent函數與部分bent函數和p值廣義部分bent函數的關系，探討了它們的密碼學性質；給出了k階擬bent函數和p值k階擬廣義bent函數的典型構造方法，並將對k階擬bent函數的密碼性質的研究轉化到對一類特殊的矩陣的研究上；利用布爾函數的特徵矩陣原則上給出了k階擬bent函數的一種完全構造方法，還給出了從已有的p值k階擬廣義bent函數出發，遞歸構造變元個數更多的p值k階擬廣義bent函數的方法；初步探討了k階擬bent函數在序列密碼、分組密碼以及通信中的應用；給出了一類布爾函數walsh譜的分解式，並利用這類布爾函數的walsh譜分解式給出了一類近似穩定的布爾函數的構造，特殊情形下為k階擬bent函數；利用代數數論的知識考察了p值k階擬廣義bent函數的譜特徵，並給出了k階擬廣義bent函數與所有仿射函數的符合率特徵等等。
  10. Our results show that the rate of correlation among the random variables of those output sequences are low although they are not independent ; in addition, the output sequences of those combined generators are homogeneous markov chains which are strictly stationary processes with ergodicity ; the output sequences of those combined generators are also proved to summit to the strong law of large numbers and the central limit theorem ; finally the computation formula of the rate of the accordance between the output sequences and input sequences of those combined generators is given

    我們的研究結論表明：雖然這些序列中隨機變量之間不具有相互獨立性，但它們的相關程度卻比較低；證明了「停走」生成器， km _ 1m _ 2型組合生成器和加法型組合生成器的概率模型輸出序列都是強平穩的和遍歷的齊次馬氏鏈；討論了這些序列的概率極限性質，證明了它們均服從強大數定律和中心極限定理；還分別給出了各類生成器的輸出序列與輸入序列之間的符合率的計算公式。
  11. Secondllv in the 1 d random traffic flow model. the relation function between the correlation and the creation. disappearance. brake probabilities of the vehicles is presented. according to the statistical mechanical approach to the spatial correlation functions. the theoretical results agree with that of the computer simulation. thirdh. based on the bml model. a main - road traffic flow model with two speeds on two dimensions is designed. this model simulate the traffic situation of one main road and several branches in the cit traffic lights placed on the crossing. vehicles breaking ~ vhile running and turning to other direction while jamming. we investigate the ~ ' e1ocitv and flo ~ ~ of the model when the initial densitvthe brake and turning probabilities. the green to signal rati3. thc number of the branches and the period of the signal are changed. then the reasons causing all the kinds of phenomena are analvzed. finallv. we simulate the bml model using the method of lattice boltzmann which ~ vas brought out by liu mu - renand obtain the velocity - density graph similar to the previous result. the upper critical densiw above which there are oniv jamming configurations. and the lo ~ ver critical density below which there are only moving configurations are the same as before. the boltzmann function which is on the lattices shows the moving and jaxmning transition obviouslv. thus it proves the possibilit of this method on the traffic research

    接著，建立了和研究了二維二速的主幹道模型，該模型模擬了城市交通中一條主幹道，多條支道的交通情況，在幹道與支道的交叉路口設置紅綠燈，車輛在運行中可以有對突發事件發生反應的剎車，在發生堵塞時，路口的車輛可考慮通過轉向來緩解交通等各種實際情況的發生，給出了車輛演化的演化方程，並通過計算機模擬，研究模型在改變車輛的初始密度、剎車概率、轉向概率、支道數、紅綠燈信號的綠信比、紅綠燈信號周期等各種情況下支、主幹道車輛的速度、流量的變化，並分析在各種情況下交通狀況的成因，提出改善交通的有效措施。最後，在劉慕仁提出的用格子boltzmann方法研究一維決定論交通流的思路下，將此法推廣到對二維bml模型的模擬上，得到了與用以往方法的研究結果相類似的速度-密度圖線，且車輛從運動相到堵塞相轉變的上下臨界密度是一致的，同時分別給出車輛在處于暢通相和堵塞相時， boltzmann函數在格子上的分佈情況，進一步驗證了此法的可行性。
  12. ( 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。
  13. Some new ideas are proposed in this thesis based on svm and ica : firstly, a modified svm method based on posteriori probability theory is given, which makes the classification super plane corrected from the original one. a better classification result is obtained without finding the best quadric optimization algorithm and large scale training datasets are reduced to small scale training datasets at the same time. secondly, ica is applied to the preprocessing period of the recognition character images for purpose of feature extraction and dimension reduction

    本文在系統研究svm和ica的基礎上提出了以下新的觀點：其一是採用了引入后驗概率的修正svm方法，它在原分類超平面的基礎上不斷修正分類超平面，提高分類正確率，從而避免了尋找最優二次規劃的麻煩，同時將大規模訓練樣本集化為小規模訓練樣本集；其二是應用獨立分量分析ica對需要進行識別的字元圖像預處理，提取字元特徵，降低輸入數據的維數，從而可以為下一步的svm識別過程提供好的數據集，用以提高識別率和識別速度。
  14. By constructing two secure posterior probability evaluation protocols to deal with discrete and numeric, or categorical and continuous attributes respectively, we attain the naive bayesian classifier without preamble

    本文針對離散值屬性情形和連續值屬性情形分別構造了保持隱私的后驗概率計算協議，最後獲得安全的樸素貝葉斯分類器協議。
  15. At the stage of image recognition, a unique model of pcb fault recognition was built on methods of tree - classification and sequenntial probability ratio test, and a kind of method of m feature selection and extraction was introduced

    在圖像識別中，本文分析了常用的模式識別方法，根據樹分類法和序貫概率比檢定法的思想設計了一種獨特的pcb缺陷模式識別方法；並給出了針對各種pcb缺陷模式的特徵選擇與提取方法。
  16. Finally, a new kind of methods on how to classify a sample into one of the several known populations in terms of posterior probability ratio established by the sample ' s predictive density functions when the unknown parameters " prior distributions are diffuse prior and minnesota prior or normal - inverted wishart distribution

    最後，利用參數的充分統計量，根據后驗概率比構造了一類新的基於擴散先驗分佈和正態?逆wishart先驗分佈的多總體貝葉斯分類識別方法。
  17. Evaluation of training investment risk. the first part is concerned with the evaluation of single risk, giving two methods such as probability and statistics method, analytical tabulation method

    對于單類風險，按照風險管理者掌握歷史資料的多少分別用概率和統計方法、列表分析法二種方法進行估計。
  18. Firstly, we directly use the motion vectors of macro - blocks defined in mpeg - i / ii compressing standards and filter the immobile macro - blocks. then, we build a skin color model in ycbcr color space using the convergent property of skin color, and we present the gaussian model skin recognition method and positive - negative look - up table method in details. and we analyze the texture of skin after wavelet transform and present a bayesian method based texture recognition method and a high texture filtering method

    根據皮膚的運動性，首先直接利用mpeg -中的壓縮標準中有關宏塊運動預測的方法，提取宏塊的運動矢量，將沒有運動的宏塊過濾掉；然後，利用皮膚顏色的聚合性，在ycbcr顏色空間建立了皮膚的顏色模型，並分別闡述了基於高斯分佈模型的皮膚檢測法和正反概率表方法；最後，通過對皮膚進行小波變換后的紋理進行統計后，發現有效的利用皮膚紋理特徵，可以比較有效的過濾掉那些具有類似於皮膚顏色的背景，分別闡述了基於貝葉斯方法的紋理檢測方法和高紋理過濾法。
  19. Compared with other people ' s work, we focus on recognizing characters with combination of hmm and neural networks. it makes use of the good performance of neural networks, and avoid the limitation that neural networks are not good at performing the real - time work

    與其他學者的一些工作相比，本文側重於對使用概率神經網路的方法對聯機手寫進行識別，既利用了神經網路優異的分類性能，又避免了一般的神經網路實時性差的弱點。
  20. As an instance of this software when applied to monitor a certain power equipment, a subsystem used to monitor partial discharge ( pd ) of generator was developed based on this software, which can analyse, process, plot two - dimension and three - dimension statistic, calculate 48 statistical parameters of two - dimension spectrums such as n - 、 qave - 、 qavn - 和 qmax -, besides, this thesis put forward a criterion for discharge type recognition based on probability distribution, and analysed above parameters " feasibility by this criterion when they were used to identify delamination pd, end winding pd and slot pd

    作為此軟體在具體電力設備絕緣在線監測系統中的應用實例，研製了發電機局放監測子系統，其特點是可分析、處理及顯示二維、三維統計數據，可計算n - 、 qave - 、 qavn -和qmax -二維譜圖的48個統計特徵參數。文中還提出了基於概率分佈的類別可分性判據，並依此判據分析了這些特徵參數用於識別內部放電、端部放電、槽放電三種放電的有效性。
分享友人
分享到 Line

分享到臉書