概率樣本 的英文怎麼說

中文拼音 [gàilǜyàngběn]
概率樣本 英文
probability samples
  • 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
  • 樣 : Ⅰ名詞1. （形狀） appearance; shape 2. （樣品） sample; model; pattern Ⅱ量詞（表示事物的種類） kind; type
  • 本 : i 名詞1 （草木的莖或根）stem or root of plants 2 （事物的根源）foundation; origin; basis 3 （本錢...
  • 概率 : [數學] probability; chance概率論 probability theory; theory of chances; 概率曲線 probability curv...
  • 樣本 : sample book; specimen; advanced copy; sample; muster; scantling; instance; statistics
  1. Employment of copula in the analysis involving bipit of extreme value samples

    於二維樣本極值概率積分變換分佈分析中的應用
  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. Firstly the patterns of the multifingered hands are detailed, eight patterns are defined. the classical bayes method is used in the classification of pre - grasp of multiple fingers based on three patterns which are grasping, holding and pinching. based on the eight pre - grasp patterns, bp neural network is applied in the classification of the pre - grasp of multifingered hands and gets a good effect. the method solves the shortcoming input sample relying on the propobility density and simplified the un - insititution characters extraction. in this paper, support vector machine ( svm ) and binary - tree with clustering is applied in the classification. this method can solve the slow speed and effect with fewness sample in the classification, achieving a good effect. in this papper, we extract the characters of the regulation object with geometry characters and extact the unregulation object with the image analysis

    此法解決了輸入樣本依賴物體的概率密度的特點，簡化了分類特徵提取的不直觀性。本文還採用了支持向量機（ svm ）和聚類二叉樹相結合的方法對機器人手預抓取八類模式進行分類，解決了預抓取模式分類訓練速度過慢以及在分類中樣本數量偏少而影響分類效果的問題，得到了較高的正確率。本文對預抓取幾何形狀規則的物體採用直接提取其幾何特徵，對于預抓取幾何形狀不規則的物體採用圖像分析的方法進行特徵提取。
  4. 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） 。
  5. For the cooperation of pile - soil, the complicacy of the structure system and the design and calculation system of the pile foundation, and furth er more for it ' s difficult to determine the properties of various kinds of soil due to the large scope of samples, there are still some problems in real applications. by the way it seems there is no document or report about the reliability analysis of pile bucking at present

    結構可靠度設計是近年來才提出的基於概率論的設計方法，由於樁土共同工作，樁基的結構體系和設計計算體系十分復雜，各種土性的取值因為樣本空間的非常龐大而難以準確確定，因此離實際應用尚存在一定問題，而對基樁屈曲的可靠度分析目前似尚未見文獻報道。
  6. While many theories concerning damage forecasting were put foreword, a different model of damage forecasting based on fuzzy probability will be presented in this paper. and it is reasonable to describe a variable like weight coefficient with fuzzy theory. in the end, the validity of the model is demonstrated well in the applications of one - storied brick bent frame column factories, one - storied reinforced concrete column factories, multistory masonry buildings

    國內外不少專家學者或研究單位先後提出了各種震害預測方法，本文在此基礎上，利用模糊理論，提出了模糊概率的震害預測模型，其模型能夠把兩類不確定性（一類是隨機上的，另一類是模糊上的）有機結合起來，而且對于權重這樣一個充滿著模糊性的變量，用模糊語言來處理是非常合理的；並應用於對單層磚排架柱廠房、單層鋼筋混凝土柱廠房以及多層磚房的震害預測，實踐證明此方法是比較精確的。
  7. It contributes to the deeper comprehesion of these probability distributions, affords more detailed theoretical basis for further studying and simulating satellite mobile channels, ? theoretical analyses and discussions of the models which are often used in the study of the propagating characteristics of satallite mobile channels are given ; meantime, some discussions on the work of model simulations are also given, ? incorrect derivation of the equality between c. loo model and corazza model in some other papers is pointed out. via the conception of received power, we derivate that in the rural environments these two models really have the equal relationship by the way of theoretical derivation and simulatant fittings. therefore, it is able to use corazza model in studying the characteristics of satellite mobile channels in the rural environments and able to avoid the iterant work of modeling, in order to enhance the efficiency and accuracy of research work, ? detailed processes of simulating lutz model by using matlab6. 0 _ simulink4. 0 and the results of comparisions are given

    本文包含有以下的主要內容： ?對衛星移動通信通道傳播特性研究中常用的三個概率分佈給出了詳細的推導過程；以便對這幾個在衛星移動通信通道傳播特性的研究中常用的概率分佈函數有更深的理解，對進一步研究衛星移動通信通道傳播特性和對通道的建模提供了更為詳盡的理論基礎； ?對衛星移動通信通道傳播特性的研究中常用的通道模型進行了理論上的分析和討論，並對衛星移動通信通道建模的研究工作提出了一定的看法； ?指出了以前的文獻中關于c . loo模型和corazza模型的等同性的證明錯誤；並從接收信號功率的角度出發，通過理論推導及模擬曲線擬合重新證明了在鄉村環境下，這兩個模型的確是具有等同性的；從而在對鄉村環境下的衛星移動通信通道傳播特性進行研究時，可以只採用corazza模型來對實際的通道進行建模，這樣可以避免重復的建模工作並提高研究工作的效率和準確性； ?給出了lutz模型在matlab6 . 0 _ simulink4 . 0環境下的軟體模擬實現的詳細過程和整體模擬測試的對比結果，保證了該模型在硬體實現時的可靠性和可行性，從而可以將它們應用於指導模型的硬體模擬實現並可以降低硬體實現時的風險。
  8. A kind of probability sample in which a set interval is applied to a list often population to identity elements included in the sample ( e. g., picking every 10th name )

    一種概率抽樣.以一定的間隔來從人口名單中抽取所需的樣本（如:每隔10個人抽取一次）
  9. This paper focuses attention on using probabilistic simulation to describe this stochastic nature, and adopts the sequential monte - carlo algorithm to simulate each element status in photovoltaic system, and calculating responded reliability indices

    本文的重點是運用概率抽樣描述這種不確定性，採用蒙特卡羅序貫模擬對光伏發電各環節狀態進行概率模擬，並計算相關可靠性指標。
  10. First, this paper gives an introduction of some methods of unequal probability sampling, their estimators and variance estimators, including sampling with pps with replacement, methods of sampling without replacement suggested by brewer, durbin, sampford, des raj, murthy, rao - hartley - cochran. then, at the basis of rao and bayless ' s study, we consider that population can be splited two random subpopulations, which are respectively drawn from different infinite super - populations, and compare the stabilities of estimators of the methods that given above. we find that the minor difference between two super - populations has great effect on the efficiency of the estimators for the population with moderately large coefficient of variation ( c. v. )

    本文首先從理論上介紹了若干種不等概率抽樣方法，它們的估計量、估計量的方差及其估計，其中包括有放回ppz及pps抽樣，不放回不等概率抽樣中的brewer 、 durbin 、 sampford 、 desraj ， murthy 、 rao - hartley - cochran等人的方法；其次，在rao和bayless兩人就樣本單元數n = 2的情形對上述抽樣方法進行比較的基礎上，將總體隨機地分成兩個子總體，視每個子總體取自不同的線性超總體，在文中，我們利用計算機實現隨機分組，並通過畫圖比較各方法估計量的穩定性，結果表明，對變異系數c . v . （ x ）較大的總體而言，兩個超總體之間的微小差異將對估計量的穩定性產生很大的影響，從而說明rao和bayless的比較結果還不夠完善。
  11. The main body can be summarized as the following five sections : this paper firstly creatively builds the yield curve of our treasury securities by the method of regressive interpolation and spline. by the empirical study we can see that the method not only can build a smooth yield curve but also can predict the yield to maturity of any given term on the basis of the practical dealing data on the markets

    主體內容可概述為以下五部分：論文首先創造性地把回歸插補法和三次樣條插值法結合起來構造了中國的國債收益率曲線，經過實證分析表明，該方法可以以中國國債市場上的實際交易數據為樣本，既能構造平滑的國債收益率曲線，又能預測任意到期期限的國債收益率。
  12. 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。
  13. The thesis mainly recounts the detail questions about bayesian small sample theory and the important applications of the theory in engineering, and gives sufficient analyses and discussion of every step of accomplishing a precision evaluation when using small samples. in the thesis, the following issues are contained, such as how to get and denote the prior information, the consistence test of prior information and test samples of shooting range, the fusion of multi - source information, calculating of posterior probability, estimation with bayesian approach, how to constitute test evaluation project of different performance and calculate the risks of both sides are contained, and at last a kind of applied method to calculate the effectiveness is given

    論文主要敘述了有關bayes小樣本理論的一些具體問題，以及該技術在工程中的一些關鍵應用，對小樣本條件下精度鑒定的各個環節給予較充分的分析和討論，其中包括驗前信息的獲取、表示，驗前信息和靶場試驗樣本的一致性檢驗，多源信息的融合，驗后概率的計算， bayes方法在估計中的應用，試驗鑒定方案的制定，對不同戰標的評估方法和風險的計算等，最後對作戰效能的計算給出了一種工程中較實用的方法。
  14. This algorithm laid the foundations of other sampling inference algorithms, such as importance sampling algorithm and like - hood weight sampling algorithm. in this paper, the description of accurate and complexities of some kinds of sampling algorithms are presented on the basis of introduction to basic concepts of bayesian networks. first, the mathematical foundations of them are given here in view of statistics

    本文首先介紹了bayesian網的一般概念及推理任務，並主要著眼于bayesian網推理演算法的數學原理，提出了樣本平均值演算法，對幾種推理演算法從數學角度做出本質性的刻畫，給出各自的復雜度和精確度的理論分析，證明了他們在各種情況下的推理效率。
  15. In earlier times, jupiter may have been hot enough to have been glowing as an infrared heat source, that affected the evolution of the moons of jupiter

    對于木星這樣低的核心溫度，其內部的核聚變概率小到根本不可能產生任何可測量的變化！
  16. Thirdly, in order to improve the deficiency of these two algorithms, the paper presents an improved algorithm

    針對以上兩種方法的缺陷，本文提出了一種新的按概率取樣本的改進演算法。
  17. Secondly, the paper shows the results from a great number of experiments of the weight algorithm that chooses samples by probability. the experiments point out that weight algorithm has a better generalization ability than the no weight algorithm. but a single weight algorithm is unstable and it needs tremendous time of calculation to combine many single algorithms into a stable one

    其次對按概率取樣本的有權值演算法進行了大量實驗，實驗結果顯示出按概率選擇樣本權值演算法比無權值演算法的總體性能更為優秀，但其個體演算法的不穩定性以及為了獲得穩定結果所需要的巨大計算時間使其不可能成為一種能廣泛應用的演算法。
  18. This paper presents a new face detection algorithm for color video images based on skin color and multimodal information fusion. first, this paper presents a new means for selecting skin samples ; and then comparing skin distribution in the eight color spaces and analyzing the adaptability for different skin patterns, poses a face initial orientation ' s method which uses the single gaussian model in the tsl color spaces, and calculates skin probability images ; afterwards comprehensive comparing three typical threshold value separating algorithms, put forwards a face separating method which bases on region growing and fuses multimodal informations ; final, raises a face confirming algorithm which fuses three shape features

    首先提出了?種新的膚色樣本選取方法；然後通過對八種色空間膚色分佈的比較以及不同膚色模型適應性的分析，提出了在tsl色空間上用單峰高斯模型模擬膚色分佈，求得膚色概率圖進行人臉初定位的方法；隨后在綜合比較三個典型閾值化分割演算法的基礎上，提出了融合多源信息進行區域生長分割人臉的演算法；最後提出了融合三個形狀特徵的人臉確認演算法。
  19. The thought that sampling frequency in targets measure system confirm as 3 is studied for the first time. it is proved from three aspects : the frequency spectrum of track, the error requirement of project and the rate of maximum number of allowable lost points in project

    本文首次就目標坐標測定儀中采樣頻率確定為3hz的思想進行了研究，並分別從目標航路功率譜密度、實際工程中誤差要求和允許的最大漏測點概率等三方面加以論證。
  20. Comparing with non - bnyain methods, it ' s prominent featares lay in that it combines the prior and posterior information, which avoids the disadvantag of subjective bias caused by simply using the prior information only, of blind search caused by the incomplete sample information, of noise affection caused by simply using the sample information only if we choice a suitable priof, we can conduct the bayesian leaming effectively, so it fits the problems of data mining and machine leaming that possess charaters of probability and statistics, especially when the samples are rare

    與非貝葉揚方法相比，貝葉斯方法的特出特點是其學習機制可以綜合先驗信息和后驗信息，既可避免只使用先驗信息可能帶來的主觀偏見，和缺乏樣本信息時的大量盲目搜索與計算，也可避免只使用樣本信息帶來的噪音的影響只要合理地確定先驗，就可以進行有效的學習。因此，適用於具有概率統計特徵的數據採掘和機器學習（或發現）問題，尤其是樣本難得的問題
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