概率運算元 的英文怎麼說

中文拼音 [gàilǜyùnsuànyuán]
概率運算元 英文
probabilistic operator
  • 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
  • 運 : Ⅰ動詞1 （物體位置不斷變化） move; revolve 2 （搬運; 運輸） carry; transport 3 （運用） use; wield...
  • 算 : Ⅰ動詞1 （計算數目） calculate; reckon; compute; figure 2 （計算進去） include; count 3 （謀劃;計...
  • 概率 : [數學] probability; chance概率論 probability theory; theory of chances; 概率曲線 probability curv...
  • 運算 : [數學] operation; arithmetic; operating
  1. In the following part, we define a couple of new approximate operators and a couple of corresponding new approximate measure operators, in this way, inner measure belief function and lower probability all can be considered as the particular cases of this lower approximate measure

    通過定義一對新的逼近運算元以及相應的一對逼近測度，使內測度、信任函數、隨機集上的下概率均可表示為此下逼近測度結構下的一種特例。
  2. Simultaneously, for preventing prematurity, crossover positions in crossover operator choose according to not equal probability. when bringing into new genes, reverse bit binary strings those have the same number as the optimal individuals are supplied, which settles gene absence problem reproduction results in

    同時為了防止早熟現象，交叉運算元中的交叉位置按非等概率選取的方法進行；在納入新的基因時，加入與最優個體群等量互補的二進制碼串，解決了復制操作導致基因缺失的問題。
  3. In chapter 1, we briefly reviewed the risk theory and its development. and the significance about this paper was expressed. in chapter 2, we introduced classical risk model. in which, making this risk process into a strong markovian process is the preparation of deriving the main results. chapter 3 is the main body of the paper, we derived the results about general ruin probability in a kind of continuous time risk model with deficit - time geometry distribution of claim inter - occurrence time. the martingale approach is a good procedure to get the expression of ruin probability about a class of continuous time risk models with deficit - time geometry distribution of claim inter - occurrence time. we also take advantage of change of measure idea from it

    第二章介紹了經典風險模型，其中用逐段決定馬爾可夫過程理論及補充變量技巧，使一類風險模型的盈餘過程成為齊次強馬爾可夫過程。第三章作為本文的主體部分，在索賠到達間隔服從虧時幾何分佈的連續時間風險模型中，索賠額分佈為一般分佈，它的破產概率可以利用pdmp中的廣義生成運算元得出鞅，通過調節系數的選擇以及在相應測度下的測度變換，使得破產概率的一般解可以表示出來。
  4. In the study of risk theory, a class of continuous time risk process with deficit - time geometry distribution of claim inter - occurrence time was made into a strong piecewise - deterministic markov process with the theory of piecewise - deterministic markov process and by introducing a supplementary variable. martingale approach is one of the most powerful methods of pdmp. the programming process is getting the ruin probability from the martingale construction. we use the idea of change of measure in the programming process and find the result and the function of adjustment coefficient

    本文應用逐段決定馬爾可夫過程理論及補充變量技巧，使索賠到達間隔服從虧時幾何分佈的連續時間風險過程成為齊次強馬爾可夫過程，然後利用pdmp中的鞅方法（用廣義生成運算元得出鞅）推導了鞅的形式，作為該風險模型索賠額分佈為一般分佈下的破產概率的一般表達式，其中用到了測度變換的思想。
  5. It uses factor analysis method and dualistic relative comparative method to account the ability place of a loan enterprise in its industry, which can confirm the station in its industry better. by using time series model to forecast an enterprise ' s cash flow in the future, we can measure the repayment ability of an enterprise. by using logit model to account the probability of default for a loan enterprise, we can estimate the possibility of its default

    運用因子分析法和二元相對比較法計算貸款企業在本行業中的財務能力排名，更好地確定其在本行業中的地位；運用時間序列模型預測企業未來的現金流量，從而測度貸款企業未來的還款能力；運用logit模型計算貸款企業的違約概率，估計其違約的可能性；從貸款企業的行業風險、經營風險、管理風險、借款人還款意願等方面對貸款企業的非財務因素進行分析。
  6. Based on the analysis of the influence of ga operators on population diversity, this paper studies parameter control of ga and proposes a self - adaptive mutation probability. it can automatically regulate the mutation probabilities according to the population diversity at primitive stage and adopt different mutation probabilities at different stages. the results show that it is better than the fix and adaptive mutation probabilities

    在分析遺傳運算元對種群多樣性影響的基礎上，研究了ga的參數控制問題，提出了一種自適應性變異概率，它可在ga進化初期隨著種群多樣性的變化而自適應調整變異概率，並在ga進化的不同階段採用不同的變異概率。
  7. To completely avoid producing elements jointed at their corner nodes and checkerboard patterns, which frequently occur when the topology optimization of plane continuum is studied, the theory of topology analysis of plane continuum in topology optimization process and the simple algorithm for programming are studied. according to algebraic topology theory, the boundary of elements and plane continuum are operated as a one - dimensional complex. by use of the adjacency vector in graph theory, the structural topology is described and the topological operation is achieved on a computer. by above, the structural topological feature in the evolutionary process is gained. these methods are effcient and reliable. under topology constraints, according to the results of stress analysis, by deleting elements and moving nodes at the boundary, more satisfactory results can be gained by using a few numbers of elements and iterations. to demonstrate the efficiency of these methods, solutions including some well - known classical problems are presented

    避免目前平面連續體結構拓撲優化過程中經常出現的單元鉸接以及「棋盤格」等現象，研究了連續體結構拓撲優化過程的拓撲分析方法，以及在計算機上實現的簡便演算法.根據代數拓撲理論，單元及連續體的邊界作為1 -復形進行運算.利用圖論中的鄰接向量概念，在計算機上實現了結構的拓撲描述及拓撲運算，得到了結構在拓撲演化過程中的拓撲特性，方法簡單、可靠.在一定的拓撲約束下，根據應力分析結果，採用刪除單元、單元退化、移動節點等方法，可以用較少單元得到更為滿意的結果，提高計算效率.為演示方法的有效性，給出幾個包括常見經典問題的解答
  8. ( 3 ) the span analysis of the genetic operators. 8 schemes were provided to analyze the relation of the genetic operators such as population size, cross probability, mutation probability. at last, a optimum group of genetic operators was selected

    提出8種方案來分析遺傳操作運算元（種群規模、交叉概率和變異概率）之間的聯系，並根據精度最高原則最終確定一組合適的遺傳操作運算元。
  9. The selection remains the best individual if its fitness is larger than given threshold. the crossover uses a larger mutation probability if the difference between individuals is small. the numeric computation shows that those improvements can increase ga ' s efficiency and dielectric imaging precision

    即在設計選擇運算元時，當最優個體適應度值大於設定閾值時則被保留；設計變異運算元時，當個體的適應度差別不大的情況下採用較大的變異概率。
  10. In the aspect of the selection of fuzzy probability of bottom event, the concept of the basic condition in the priority of selecting the fuzzy number model is brought forward, and traits of the fuzzy number model is analyzed and compared. the reason that the accurate probability is replaced with the probability of linear fuzzy number is elucidated. and the definition and arithmetic of the logic gate fuzzy arithmetic operators is established

    在模糊故障樹分析法選擇底事件模糊概率方面，本文提出了優先選擇模糊數模型的基本條件的概念，分析比較了各種模糊數模型的特點，闡明運用線性模糊數概率取代精確的概率值的理由，並根據模糊數（ f數）及其運算規則，導出邏輯門模糊運算元定義及演算法。
  11. The pointwise estimate for sz sz - kantorovick probabilistic operators

    概率型運算元的點態估計
  12. The probability to obtain the correct answer of genetic algorithm is big through the use of optimized crossover and mutation operators

    本文給出了對圖像拼接問題進行了優化的交叉和變異運算元，這樣使得遺傳演算法能夠以非常大的概率獲得正確解。
  13. So the improvement, such as the self - adaptive fitness function combined with the penalty function methods, self - adaptive crossover probability and the bp operator enlightened by neutral network, especially the bp network to improve the local optimal capacity were used

    其次結合懲罰函數法對適應度進行了優化。採用自適應交叉概率。受神經網路中bp演算法的啟示，構造bp運算元，提高小種群遺傳演算法的局部搜索尋優能力。
  14. In order to solve the problem that there is no theoretic foundation on how to set parameters in ga, this paper presents parameter rules based on analyzing the search ability of ga operators. then, use these rules to analyze an instance of model identification which is based on ga

    本文針對遺傳參數缺乏理論指導的問題，採用簡單的概率分析方法，從遺傳運算元的搜索能力的角度出發，分析了變異運算元作用機理，得出部分演算法參11浙江大學碩士學位論文數的關聯約束。
  15. Both ratio of average ( roa ) and cross - correlation method use local statistics to judge road. they perform good detection while smoothing speckle. moreover, they both have constant false alarm rate ( cfar ) which is important in radar target detecting

    本文所採用的均值比例運算元和互相關運算元利用圖像局部的統計信息進行判決，在檢測道路基元的同時對圖像進行局部平滑以降低相干斑干擾;並且兩個運算元都具有恆虛警特性，門限值由給定的虛警概率確定。
  16. Besides, proposing an adaptive variation factor to keep the diversity of population, and a novel crossover rule to widen the distribution space of children generations also effectively modified the sga

    提出的相應技術包括：採集種群多樣性指標用以調整變異概率；改進交叉運算元，避免子代收縮，並提高其適應度；新增powell尋優運算元，加速局部搜索。
  17. In order to solve the problem of pheromone shortage and slow convergent speed of existing ant system algorithm ( as ) in its application to complex optimal searching, this paper presents a new hybrid adaptive ant system algorithm with pheromone weight multiplier and pheromone balance operator, which can adaptively adjust select probabilities and pheromone strength

    摘要針對已有蟻群演算法在復雜問題應用中尋優前期信息素匱乏、收斂速度慢的不足，通過引入信息權重因子和信息量均衡運算元對蟻群的選擇概率和信息素濃度進行自適應調節，提出了混合自適應蟻群演算法。
  18. Based on rough sets and average operator, extended decision rules of the probabilistic information system were obtained

    根據粗糙集理論，採用平均運算元，獲取概率信息系統的擴展決策規則集。
  19. Trend prediction and fault diagnosis tech., etc. the information intelligent processing technology facing the application is presented as an emphasis. after introducing the development situation and the whole pattern on related fields, this paper describes several algorithm applied in the simulation experiment, including direct multi - steps nonlinear autoregressive - moving average ( narma ) prediction model based on diagonal recurrent neural networks and fuzzy neural networks model based on generalized probability sum ( gps ) and generalized probability product ( gpp ), and lists the algorithm steps facing the application

    作為重點，本文辟用了較大的篇幅討論面向應用（主要是趨勢預測與故障診斷）的集成智能信息處理技術，在介紹相關領域的發展情況和總體格局之後，重點闡述了幾種基於神經網路的智能演算法，包括基於對角遞歸神經網路（ drnn ）的直接多步非線性自回歸滑動平均（ narma ）預測模型，以及基於廣義概率和（ gps ）與廣義概率積（ gpp ）兩種運算元的模糊神經網路模型，給出了它們的詳細演算法及面向應用的運算步驟。
  20. Edges of the image are detected out firstly, labeled according to the motion that they obey then and the areas of the frame between edges are divided into regions. at last, using the bayesian framework presented determines the most likely region labeling and depth ordering with the labeled edges

    首先使用經典的canny運算元檢測出一幀圖像的邊緣，然後對其進行運動估計、邊緣和區域標定，再應用最大后驗概率的貝葉斯方法搜索出不同區域的極大似然分割，給出不同運動層的相對深度標定。
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