間接概率 的英文怎麼說

中文拼音 [jiānjiēgàilǜ]
間接概率 英文
indirect probability
  • 間 : 間Ⅰ名詞1 （中間） between; among 2 （一定的空間或時間里） with a definite time or space 3 （一間...
  • 接 : Ⅰ動詞1 （靠近;接觸） come into contact with; come close to 2 （連接; 使連接） connect; join; put ...
  • 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
  • 間接 : indirect; secondhand
  • 概率 : [數學] probability; chance概率論 probability theory; theory of chances; 概率曲線 probability curv...
  1. Based on this kind of relations between the topological structures and the content distributions we study the web modelling, community identification and some related application problems in detail : first, after some existed characteristics of the web topology are verified, some new characteristics are discovered : the high clustering property in micro - topology ( high average gathering coefficient ), the obvious mapping relation between the topological struture and the content in micro - level 、 linear irrelevant between the degree distribution of network nodes and the relative degree distribution of contents etc. then after analysis the topology of the complex network and the network modeling, the muti - scale determinism is proposed, especially for the information network a web evolvement model ( prcp model ) that fused the node authority and the node correlation is proposed. the model deduction, evolving learning verification and large scale experiment proof indicate that the model can explain the micro - topology centralizing phenomena, can imitate the mapping relation between the network connecting distribution and network content relative distribution and also can predict the mapping relation between the topology clustering and content clustering

    本文在詳細觀察了web網路的拓撲結構特徵以及拓撲結構與內容分佈相互關系的基礎上，以信息網路的物理連接拓撲結構與節點內容相關度分佈之間的相互關系為主線，從網路特徵、網路建模、社區分析及相關應用方面問題進行了深入細致地探討:首先在驗證了前人提出的web網路拓撲結構特徵基礎上，進一步發現了信息網路所具有的一些新特徵: 1 ）網路微觀顆粒度的拓撲結構聚團與內容聚團存在明顯的映射關系，具體包括節點之間的物理連邊概率與節點之間的內容相關度成指數比例關系、節點形成三角形拓撲結構的概率與節點內容相關緊密程度之間同樣具有一種指數比例關系; 2 ）網路節點連接度整體分佈與節點內容相關度整體分佈是線性無關的; 3 ）網路微觀拓撲結構中的存在很強的集聚性（平均聚團系數很高） 。
  2. After analyzing the character of risk, i introduce data mining method into risk management, to solve the contradiction between great capacity of data and lack of information, the methods include mathematics statistics and artificial neural network ( ann ). then, i study on the methods of risk management in risk identification, risk evaluation and risk disposal, what is advanced, fault tree analysis method based on fuzzy probability, stochastic simulation method and the topsis method based on interval number all consider the characteristic of risk. finally, i discussed the application of information system ( mis ) in project risk management, and developed a risk management information system

    論文在深入分析了風險特徵之後，將數據挖掘技術引入風險管理，用以解決海量數據與貧乏信息之間的矛盾，所採用的技術有數理統計和人工神經網路（ ann ）兩種方法；接著，論文對風險識別、風險評價、風險處理中的風險管理方法進行了研究，所提出的基於模糊概率的故障樹技術、隨機模擬技術和基於區間數的topsis方法都體現了風險管理的特點；最後，論文對信息系統（ mis ）在工程項目風險管理中的應用進行了探討，開發出一個風險管理信息系統。
  3. Taking load uncertainties, infeasibility problem and multiple objection of the reactive power optimization in the radial distribution system into consideration, loads are modeled as fuzzy interval numbers. fuzzy power flow is proposed based on fuzzy interval load for the more practical membership function of line losses rate and maximal voltages offset. this thesis presents multiple objection model of the reactive power optimization considering uncertainties using the fuzzy set theory

    對配電網電壓無功優化問題中負荷的非概率性的不確定性問題、多目標問題、約束不可行性問題進行了研究，用模糊區間來描述實際的負荷情況，並用負荷的模糊區間值計算配電網的潮流，得到有功功率損耗和電壓的模糊區間值，使網損率和節點電壓最大偏移量的隸屬函數更接近實際情況；將改進遺傳演算法與模糊集理論相結合，通過求解多目標函數和約束條件的模糊集合的交集，得出網損率和節點電壓最大偏移量最小的最優運行狀態。
  4. First, introduce the reasons and character of current banking m & a, then summarized the former studies of the three ways of m & a to efficiency gaining : size versus size economy, m & a versus banks efficiency, and m & a versus shareholders wealth. then introduce the research approaches of m & a efficiency gaining, especially the approaches of m & a versus banks efficiency, such as parametric frontier approaches and non - parametric frontier approaches. in the following, through roe model and dea model to study the relations between size and efficiency, finding : middle size banks efficiency is higher, larger banks have n ' t scale economy, small banks have low em, and through directly analyzing m & a efficiency of four commercial banking m & a case in china, finding : the past - merged efficiency of shanghai pudong development bank has been improved, and others have been deduced, but after three years the efficiency increased little by little

    首先，分析了當前銀行並購的主要原因、特徵以及我國銀行並購的現狀與特點；接著對銀行效率水平的概念進行分析，綜述了國外對銀行並購與效率獲利的三方面的研究（考察銀行的規模與效率這種間接方式、比較並購行並購前後的效率以及並購行與非並購行的效率和考察上市銀行並購前後股東財富的變化這兩種直接方式）的有關文獻；再次對銀行並購與銀行效率獲利的分析方法進行了介紹，其中詳細地研究了前沿分析法：參數分析法和非參數分析法，並指出了這些方法的特點；然後運用財務比率分析法和dea方法對我國商業銀行規模與效率從間接角度對銀行並購產生的效率獲利進行了實證研究，結果發現：中等規模的商業銀行的效率最佳，而小規模的銀行的em值較低，同時大規模的商業銀行的規模無效；同時利用我國已發生的四個銀行並購案從直接的角度對我國商業銀行並購的效率獲利進行分析，結果發現：除上海埔東發展銀行在並購後效率提高，其他三家銀行並購后的效率都有所下降，但並購后第三年效率又逐漸回升。
  5. In this paper, monte carlo ( mc ) method is used in the research of distributing of construction duration and computation of time parameter of pert network. according to probability viewpoint, critical line and key degree of activity in the network are also defined. aiming at the limitation of application of the mc in large scale the network, the simplified computational method for the network is presented with quantum probability theory and composite method of path in network

    本文用mc （ montecarlo ）方法研究了施工工期的分佈規律和pert （ programevaluationandreviewtechnique ）網路的時間參數的計算；用概率論的觀點定義了pert網路主導線路和關鍵度；針對大型施工進度網路mc方法應用的局限性，採用線路合成方法，引進當量概率概念，提出了pert網路的簡化計算方法；根據工程搭接施工網路的特點，將其轉化為廣義pert網路，探討了其施工進度風險的計算。
  6. The random mathematical model is described using equivalent markov equations. the time and state parameters are discrete. based on the model, the flow rate distributions along radial and average at any height can be calculated directly, moreover, the probability transition matrix of the flow can be determined via the statistic character of the random cumulate particles, and be corrected by s. cd the random theoretical model shown in fig. l, the section of the bed of tbr is divided into a series of concentric circles

    一、在常溫和常壓下進行滴流床反應器流率分佈的研究，以狀態離散、時間離散的齊次markov過程描述了滴流床在滴流區的流率分佈，建立了滴流床在滴流區流率分佈的隨機模型，根據此模型可以： 1 、可直接確定任一高度下的液體徑向流率分佈及平衡流率分佈； 2 、液體流動的概率轉移矩陣可由隨機堆積顆粒的統計特性確定，以參數s修正。
  7. Idea : we cannot measure the closeness of the estimates with the population parameter directly, but it is possible to use data from a random sample to construct a set of values that contains the true value with a certain specified probability

    我們無法直接衡量估計值和總體參數之間的距離，但是利用來自隨機樣本的數據構造一個取值的集合，使得真值在給定概率下屬于這個集合是可能的。
  8. In this paper we use the color auto - correlogram as the similarity metrics of images in low - level feature space, and change the bandwidth function. then we propose the semantic relevance feedback. the system react differently to the positive and negative user ' s feedback so that the system can go on learning after the annotation process by updating the probabilities of the list of attributes of the relevant images and reaching the real values

    本文引入顏色自相關圖特徵作為圖像在底層特徵空間相鄰的度量，並修改了框架中帶寬的計算函數，然後引入反饋機制，對于用戶的正反饋和負反饋分別作不同的處理，以便在使用過程中，系統能夠繼續學習，根據反饋更新圖像的概率鏈表，使之逐漸接近真實情況。
  9. The research paper is based on the the latest softwares of the managing inventory, its research subject is about simulating the most appropriate inventory quantity and ordering quantity by statisticing the probability of the random require quantity. its purpose is to provide the relied basement for determining the most appropriate inventory quantity and ordering quantity, the deterring policy quality will be raised, so the damage caused by unfit inventory quantity and the benefit of the entrerpreneur will be raised. the research method is by building the inventory management information system, the system includes automated management of parts entering and going out the datasbase. requesting the records of parts entering and going out the datasbase and displaying the sygonal when the inventory quantity is short out. computer calculating the fix period remaining, requesting remaining at any time and displaying if goods need ordering, all the partsof certain a product going out of basement and at the same time checking if the storaging quantity is enough. then simulating the most appropriate inventory quantity and ordering quantity simulating method is as follows : statisticing the random required quantity. calculating the probability, standing for the values with data range producing random data by function accordingly calculating the random required quantity. thenext step is simulating all the projects after pressing in the simulating conditions. finally selecting the best

    本文通過分析國內外關于庫存管理軟體的發展情況，提出在線統計貨物出庫情況的基礎上利用模擬方法確定最優存儲方案，其目的是為制定合理的貨物安全庫存量和訂貨量提供可靠的依據，提高企業管理人員的決策質量，從而減小資金的佔用和缺貨損失，提高企業的經濟效益。通過研製庫存管理信息系統使庫存信息管理自動化，也就是實現貨物入出庫管理計算機管理、自動查詢貨物入出庫情況並在缺貨時給予提示、使用計算機貨物余額定期結算、貨物余額實時查詢並顯示是否需要訂貨、裝配出庫管理使得只要輸入需要裝配產品代號和數量，組成它的所有零件就會自動檢庫和出庫。然後對安全庫存量和訂貨量進行模擬，模擬方法是首先自動統計貨物在過去某一段時間內的需求量，計算出概率，用隨機數的范圍表示其概率數值的大小，利用隨機函數產生隨機數、從而間接的產生隨機需求量，給定模擬天數和其他模擬條件模擬各種方案，從眾多的存儲方案中找出最優存儲方案。
  10. The probability density distribution of the particle velocity fluctuation differs in different flow regions, and is approximately normally distributed where the space restrictions are small. velocity fluctuation of particles with different sizes is similar

    顆粒脈動速度的概率密度分佈隨流區有所差異；在空間尺度影響較小的范圍接近正態分佈；各種粒徑的顆粒脈動速度具有相似的特性。
  11. ( 4 ) applying the relationships between faults and fealtures in probability causal model, the bp neural network is improved by adding the direct connections between the input nodes and the output nodes

    （ 4 ）利用概率因果模型中徵兆與故障之間的關系，對bp網路進行了改進，增加了輸入與輸出相關節點的直接聯接。
  12. The traffic model and a suit of differential equations presenting the status of the system are given first, from which an objective function is derived, and then the transmission is optimally controlled by the neural network which is characterized by nonlinear map and the particle swarm optimization algorithm which is characterized by stochastic optimization, namely the neural network is employed to generate variable rate of token generation, and the particle swarm optimization algorithm with inertia weight is employed to optimally train neural network in the form of finding a sub - optimal resolution in acceptable computation time

    本文給出了傳輸控制的系統模型及其系統各狀態的差分方程表示，由此推導出了系統的代價函數。然後利用神經網路的非線性映射的功能和基於概率尋優的粒子群優化演算法對系統進行優化控制，利用神經網路控制令牌桶的可變令牌產生速率，利用帶慣性權重的粒子群優化演算法對神經網路的權值進行優化訓練，使其在可以接受的時間內達到次優解。
  13. 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。
  14. In the fourth chapter, we analyze bayes networks - ihe theory of uncertain reasoning. and it is imported into intelligent fault diagnosis and task decomposition process for complicated equipment. the method have some advantage, such as reasoning in two - way ( effect and result ), diagnosis based on model, and using experts knowledge

    利用建模理論中的模型分解理論，建立復雜裝備內部各組成部件間的連接關系及層次關系，確定出裝備內部的信息傳播路徑，並建立裝備的概率模型，為基於bayesnetworks的不確定性推理及診斷任務的分解奠定了基礎。
  15. Kde is a non - parametric method which is capable of extracting the population ' s probability density function ( pdf ) based on data sample only without any a prior knowledge about the statistic properties of the data regime. in this thesis, it is conducted the implementation of the kde for monitoring the performance of batch production processes

    用核函數法概率密度估計對間歇生產過程進行實時狀態監測的主要優點是它屬于非參數法概率密度估計的一種，不需要數據總體的任何先驗知識或是假設而直接基於實測數據樣本求出總體的概率分佈密度函數，擺脫了對不可靠的先驗知識的依賴。
  16. Then this study carried out comparative analysis on international experiences of the financing of smes, and positive analysis on the financing of township enterprises and national enterprises representatively in the smes of our country. through above - mentioned analysis, the study clarified the root reasons which caused the problems of short funds of smes, higher debt ratio of national enterprises and a great deal of bad assets exited in the national banks. the root reasons are just that in the long run the enterprises financing of our country followed the single structure of taking the government as the leading, national banks as the main body and indirect financing as the dominant part

    本文在明晰相關概念、闡述國外及我國中小企業的最新界定標準、綜析當前企業融資基本理論的基礎上，通過對中小企業融資國際經驗的比較分析，以及對我國中小企業中具有典型代表性的鄉鎮企業、國有中小企業融資進行的實證分析，明確了造成當前中小企業資金短缺、國有企業相對負債率較高和國有銀行存在著大量不良資產等問題的根本原因，即：我國的企業融資長期沿襲著以政府為主導、國有銀行為主體、間接融資占優勢的單一結構體系。
  17. Then the self - assembly system corresponding the probability distribution which is a given probability distribution was found. futher, note that the natural dna sequences are generated by self - assembly of a, c, g, t. the self - assembly model simulating the process generating the natural dna sequences can be found

    這樣不同自裝配模型之間的內蘊距離就對應s上兩分佈間的散度，若事先給定一個分佈，則在平衡時對應概率分佈最接近這一分佈的自裝配系統由給定分佈在s上（
  18. The pheromone - based parameterized probabilistic model for the aco algorithm is presented as the solution construction graph that the combinatorial optimization problem can be mapped on. based on the solution construction graph, the unified framework of the aco algorithm is presented. an iterative update procedure of the solutions distribution in the problem ' s probabilistic model is proposed, that will converge to the optimal solutions with probability one, then the minimum cross - entropy pheromone update rule is proposed to approximate the iterative update procedure by minimizing the cross - entropy distance and monte - carlo sampling

    基於解空間參數化概率分佈模型，首先提出了一個以概率1收斂于最優解的解空間概率分佈的迭代更新過程，然後提出了通過最小化不同分佈間的交互熵距離以及蒙特卡洛采樣來逼近此迭代過程的最小交互熵信息素更新規則，接著分別給出了弧模式以及結點模式信息素分佈模型下的最小交互熵等式。
  19. The performance of existing blind source separation methods is highly affected by the non - linear contrast functions that are selected according to the distribution of original signals, and the separation results are not always ideal, especially for the mixture of super - gaussian signal and sub - gaussian signal

    摘要針對現有盲源分離演算法的性能依賴于對比函數選擇的現象，提出了一種基於遺傳演算法的盲源分離演算法，該演算法直接從信號的樣本序列中估計出信號的概率分佈，解決了信號間互信息的求解問題。
  20. Thirdly, through analyzing the relation between the temperature and vibration stress and the life of connector, and combining with the theory of probability and statistics, deduce the failure physics equation, and set up a reliability statistical model. laid a foundation for working out electrical connector reliability test plans and treating electrical connectors test data

    第三，通過研究環境溫度和振動應力與電連接器接觸壽命之間的影響關系，並結合概率統計理論，推斷出失效物理方程，建立了可靠性統計模型，為電連接器可靠性試驗方案的制定和試驗數據的統計分析奠定了基礎。
分享友人
分享到 Line

分享到臉書