非概率樣本 的英文怎麼說

中文拼音 [fēigàilǜyàngběn]
非概率樣本 英文
nonprobability sampe
  • 非 : Ⅰ名詞1 （錯誤） mistake; wrong; errors 2 （指非洲） short for africa 3 （姓氏） a surname Ⅱ動詞1 ...
  • 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. 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。
  2. 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。
  3. 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。
  4. 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
  5. Because of decrement in pesticide use, from 1999 - 2001, the poisoning probability caused by pesticides use for farmers who plant bt cottonseeds is respectively 17 %, 22 % and 4 % lower than those who plant non - bt cottonseeds, with an average number of 11 % in this three years. meanwhile, bt cotton planting farmers in yellow river watershed and changjiang river shed saved 48. 4 yuan and 107. 8 yuan per time in pesticide and wage losing cost, with the average of 68 in sample areas

    中岡農業和學院博卜學泣論文中英義摘芙山于農戶大幅度減少了衣藥投入， 1999 2001年調查的種植bt抗蟲棉的農戶發生農藥中毒的概率分別要比種植非bt棉的農戶低17見2肌和4 「三年總平均要低11以同時按照樣本所在棉區計算的bt棉種植農戶相應節約的農藥和誤工費用分別為黃河流域棉區48
  6. The algorithm of strapdown inertial navigation system is also discussed and then use the flight - track generator to give a simulation, since a closed loop feedback integrated navigation system is designed in this paper, and the output of the filter must feed back to the strapdown inertial navigation system, the analysis of the algorithm in strapdown inertial navigation system is important. the scheme to design the trajectory of gps and the simulation of gps constellation are then studied, the simulation of gps constellation is given from the calculation of vernal equinox base on the principle of celestial mechanics, this method of different from other methods given by other paper and is useful to the research of satellite navigation system. a new method to abstract noise modal in integrated navigation system is proved to be useful in practice, this method, which is given by use the principles of stochastic processes, statistics, time series analysis, and system identification, is suitable for the kalman filter in integrated navigation system

    如航跡產生器的設計，該航跡產生器是研究組合導航問題的前提，從國外一些研究組合導航系統的文獻中可以看出，設計這樣一個航跡產生器是非常必要的，所以本文自行設計了這樣一個系統；還討論了捷聯慣性導航系統中捷聯解算的方法，並進行了模擬研究，由於在本文設計的閉環反饋式組合導航系統中，對捷聯慣導系統的平臺誤差進行閉環控制，需要將濾波器輸出的校正量反饋到捷聯解算內部，所以必須對捷聯解算進行深入的研究和分析，更何況捷聯解算問題本身也是導航界的一個熱門研究課題；另外，本文還介紹了gps軌道及其星座模擬的設計思想和方案，與以往gps軌道和星座模擬不同的是本文從天體力學中計算春分點開始，逐步進行gps軌道及其星座模擬，這樣的設計方法對從事衛星導航的研究工作是有價值的；還對組合導航中誤差建模方法進行了研究，綜合運用隨機過程、概率統計、時序分析及系統辯識等方面的理論提出了一套適合組合導航卡爾曼濾波的誤差建模方法，並運用實際研究工作中的測量數據對該方法進行了驗證。
  7. 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。
  8. 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。
  9. Based on the formers, this dissertation efficiently selects the face features abstracting using ica. with no decline of recognition rate, the feature dimension is reduced, so the course of recognition is accelerated. support vector machine pattern recognition method is based on vc dimension theory, adopting the srm principle and considering training error and the generalization ability, which has shown many special advantages in dealing with small samples, non - linear and pattern recognition in high dimension

    本文採用基於矩陣s的人臉表示方法，將ica特徵選擇的概念和演算法用於人臉特徵的提取和優化，在不影響識別率的情況下，降低了特徵維數，提高了識別速度；支持向量機（ svm ）模式識別方法基於vc維理論，採用結構風險化原理，兼顧訓練誤差和泛化能力，在解決小樣本、非線性及高維模式識別問題中表現出許多特有的優勢；對于多類問題，介紹並採用了「一對一」的策略進行svm分類器設計；對于圖像預處理，詳細介紹了幾何歸一化的演算法步驟。
  10. 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。
  11. The unit includes topics such as basic probability and random variables, data summarization and display, data quality, probability models for data including the normal, poisson, binomial and sampling distributions and their important properties

    本課程課程包括基本概率和隨機變量、數據摘要和顯示、數據質量、數據概率模型（常規、非常規、二項式和樣本分類和它的重要屬性。
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