隨機有序樣本 的英文怎麼說

中文拼音 [suíjīyǒuxùyàngběn]
隨機有序樣本 英文
random ordered sample
  • 隨 : Ⅰ動詞1 （跟; 跟隨） follow 2 （順從） comply with; adapt to 3 （任憑; 由著） let （sb do as he li...
  • 機 : machineengine
  • 有 : 有副詞[書面語] （表示整數之外再加零數）: 30 有 5 thirty-five; 10 有 5年 fifteen years
  • 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...
  • 隨機 : random stochasticrandom
  • 樣本 : sample book; specimen; advanced copy; sample; muster; scantling; instance; statistics
  1. The kanerva ' s sparse distributed memory ( sdm ) tackles the problem of training large data patterns and extendes the storage mode of existing computer. but it ' s address array produced randomly ca n ' t reveal the distribution of patterns and it has ' t the ability of function approximation for its learning rule

    Kanerva的稀疏分佈存儲（ sdm ）模型解決了大維數樣本的訓練問題，推廣了現有計算機的存儲方式。但其地址矩陣的隨機預置方式不能反映樣本的分佈，並且sdm的學習方式使之不能用於函數逼近及時間序列預測問題。
  2. According to the data of the covariance - stationary stochastic time series, we can get the state space modeling algorithm quickly and stably by singular value decompositi on and orthogonal projection. this algorithm will be faster and more stable

    在已知平穩隨機時間序列樣本數據的情況下，論述了如何採用正交投影演算法和正交奇異值演算法建立隨機時間序列的狀態空間模型和狀態矢量估計，這種數學建模方法對于船舶機艙中的系統數學建模有很大的幫助
  3. By means of trigonometrical progression method and the mainline track spectrum, the sample function of the chinese mainline railway track random geometric irregularity is simulated. with the data obtained from track geometry inspection car on qinhuangdao - shenyang special line for passenger transport and arma time series model, the sample function of high - speed railway track random geometric irregularity are simulated. based on existing literature, the artificial bogie crawl waves at various different speeds are randomly simulated

    根據我國干線鐵路軌道譜，採用三角級數法模擬出干線鐵路和準高速鐵路軌道不平順的樣本函數；根據秦沈客運專線高速試驗段軌檢車資料，採用arma時間序列模型模擬了高速鐵路軌道不平順隨機樣本函數；在既有研究資料的基礎上模擬出各種速度客車構架人工蛇行波；用隨機變量描述道床橫向剛度，並進行了隨機模擬；將振動理論和穩定理論結合建立系統的分析模型和運動方程；根據monte ? carlo法編制了車輛?軌道耦合系統隨機振動分析程序，進行了無縫線路隨機動力響應分析，通過試驗對計算模型、計算方法進行了驗證。
  4. 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。
  5. It is important to a excellent monitor system for digitizing wide band oscilloscope, so our work is meritorious 。 modularization program design and optimized arithmetic make sure higher efficiency of our program

    因此，本課題的實踐在隨機取樣數字化示波器技術的研發中佔有很重要的地位。本課題由於採用了模塊化程序設計和優化的演算法，使得監控軟體有著很高的效率。
  6. In this paper, an adaptive hidden markov model ( ahmm ) approach for on - line hand - drawn shape recognition is presented. in our method, hmms are chosen as the core recognizer due to its great ability to model stochastic time series. many improvements are made to the traditional hmm recognizer in order to increase the flexibility of the recognition system, the resulting framework can not only adaptively learn from training data, but also can adapt system behavior to input hand - drawn shape

    本文提出了一種用於聯機手繪圖形的自適應隱馬爾科夫模型識別方法，該方法利用隱馬爾可夫模型（ hmm ）對時序隨機序列的描述能力作為手繪圖形識別中的核心分類器，並且在傳統hmm識別結構的基礎上進行了改進，使得識別系統不僅具有自適應學習訓練樣本的能力，而且具有根據輸入圖形特徵調節系統行為的能力。
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