過程辨識 的英文怎麼說

中文拼音 [guòchéngbānzhì]
過程辨識 英文
process identificaion
  • 過 : 過Ⅰ動詞[口語] （超越） go beyond the limit; undue; excessiveⅡ名詞（姓氏） a surname
  • 程 : 名詞1 （規章; 法式） rule; regulation 2 （進度; 程序） order; procedure 3 （路途; 一段路） journe...
  • 辨 : Ⅰ動詞（辨別; 分辨; 明察） distinguish; discriminate; differentiate; recognize Ⅱ名詞（姓氏） a surname
  • 識 : 識Ⅰ動詞[書面語] （記） remember; commit to memory Ⅱ名詞1. [書面語] （記號） mark; sign 2. （姓氏） a surname
  • 過程 : process; procedure; transversion; plication; course
  • 辨識 : identification辨識符號 identification mark; 辨識技術 identification technique; 辨識器 identifier;...
  1. Because it is impossible to adjust the air bearing absolutely balance, the difference between mass center and rotation center must lead to a notable gravity disturbance torque. in the process of identification, modeling and identification of gravity disturbance torque is considered, and an extended kalman filter is educed for identifying air bearing inertia matrix and gravity disturbance torque, and then the algorithm is validated

    由於氣浮臺平衡調試方法和手段的限制，實驗過程中氣浮臺質心與轉動中心有一定的位置偏差，必將導致較大的重力干擾力矩，在辨識演算法的推導過程中，重點考慮了重力干擾力矩的建模和參數辨識問題，推導了氣浮臺的轉動慣量和重力干擾力矩辨識的擴展卡爾曼濾波演算法，並對演算法進行了數學模擬和全物理模擬驗證。
  2. The dynamic glycolysis chaotic oscillation process is identified using vbl network, which shows that this algorithm has better convergence property than other algorithms

    對糖酵解混沌振蕩過程進行動態辨識建模，結果表明本演算法具有較好的辨識效果和收斂性。
  3. The entire process takes about 200 milliseconds

    整個辨識過程大約只需要200毫秒。
  4. A novel method based on artificial neural network bp algorithm to perform the parametric identification in deep foundation excavation is proposed hi the paper. taking in situs measurements as network input and parameters to be identified as network output, the network is trained with the samples obtained from fem computation

    將某些現場實測值作為網路的輸入，土層物性參數作為網路的輸出，通過有限元正分析模型取得學習樣本來訓練網路，從而達到對深基坑開挖過程中的多層土體的物性參數進行辨識的目的。
  5. This paper mainly investigated the motor ' s parameter identification considering the skin effect in a starting period

    本文主要研究了考慮起動過程中集膚效應后的電機參數辨識問題。
  6. A novel dynamic evolutionary clustering algorithm ( deca ) is proposed in this paper to overcome the shortcomings of fuzzy modeling method based on general clustering algorithms that fuzzy rule number should be determined beforehand. deca searches for the optimal cluster number by using the improved genetic techniques to optimize string lengths of chromosomes ; at the same time, the convergence of clustering center parameters is expedited with the help of fuzzy c - means ( fcm ) algorithm. moreover, by introducing memory function and vaccine inoculation mechanism of immune system, at the same time, deca can converge to the optimal solution rapidly and stably. the proper fuzzy rule number and exact premise parameters are obtained simultaneously when using this efficient deca to identify fuzzy models. the effectiveness of the proposed fuzzy modeling method based on deca is demonstrated by simulation examples, and the accurate non - linear fuzzy models can be obtained when the method is applied to the thermal processes

    針對模糊聚類演算法不適應復雜環境的問題，提出了一種新的動態進化聚類演算法，克服了傳統模糊聚類建模演算法須事先確定規則數的缺陷.通過改進的遺傳策略來優化染色體長度，實現對聚類個數進行全局尋優;利用fcm演算法加快聚類中心參數的收斂;並引入免疫系統的記憶功能和疫苗接種機理，使演算法能快速穩定地收斂到最優解.利用這種高效的動態聚類演算法辨識模糊模型，可同時得到合適的模糊規則數和準確的前提參數，將其應用於控制過程可獲得高精度的非線性模糊模型
  7. This paper emphasizes all factors affecting driving fatigue ; the interaction of all factors which may lead to driving fatigue ; driving fatigue course, law and mechanism ; effect on sorting of driving fatigue, assessment system on driving fatigue and test system ; fatigue effect identification mode in dangerous. the mechanism of formation, accumulation and variation of driving fatigue is put forward in this paper

    本論文重點研究駕駛作業中：駕駛疲勞產生的致因因素；所致疲勞因素交互作用；疲勞過程、規律及機制；駕駛疲勞影響分類；建立駕駛疲勞評價體系及測試系統；構築危險狀態下疲勞效應辨識模式等問題；提出駕駛疲勞形成、蓄積和變化過程的機制。
  8. 5. a multivariable process identification based on asymptotic black - box theory is studied. firstly, a high - order mimo arx model and its frequency error bound is estimated from identification data and low - order siso models is obtained from high - order mimo arx model

    作者對一種基於漸近黑箱理論的多變量過程辨識方法進行了研究：首先用高階arx模型估計模型參數，並給出高階模型的頻域均方誤差；然後，對高階arx模型進行降階處理。
  9. In the process of parameters identification, the stator voltag is considered as input quantity and the stator current and motor rotate speed are considered output quantities. the rotor resistance and leakage inductance are estimated on - line and the identification results is got at last

    在參數辯識過程中，以電機起動時的定子電壓為輸入量，定子電流和電機轉速為輸出量，對復合籠條轉子感應電動機轉子電阻和漏感進行在線估計，最後得到轉子電阻和漏感的辨識結果。
  10. The second is that for a complicated system, for example, with many loops as well as many controllers, it is very difficult to give the direct relation between the parameters of processes and that of controllers

    這主要有以下幾方面原因：一是在工業環境下，對被控過程難以進行精確的數學描述。由於工業噪聲所表現出來的多樣性，最小二乘類等參數辨識方法的應用受到很大的限制。
  11. There are a lot of advantages of this control technology such as automatic to distinguish parameters of the controlled object, automatic to tune parameters of the controller, and adaptive to change with the process parameters, which make it become a perfect control technology

    自適應控制技術是近些年發展的一種性能很好的實時控制技術，具有自動辨識被控對象參數、自動整定控制器參數、能夠適應被控過程參數變化等一系列優點，成為一種理想的控制技術。
  12. Thirdly, radiator performance test - bed thermal system control modeling and rule self - organizing fuzzy control simulation were studied. the water supply temperature, radiator inlet temperature, test room temperature based on water temperature regulation, air supply average temperature and test room temperature based on air temperature regulation total five controlled processes transfer function were set. finally, rule self - organizing fuzzy control simulation for two

    通過試驗，辨識了散熱器實驗臺熱工系統中供水溫度、散熱器進水溫度、基於熱水系統調節的測試室溫度、送風平均溫度及基於送風系統調節的測試室溫度共5個被控過程的傳遞函數，並對基於熱水系統調節和基於送風系統調節的測試室溫度響應過程進行了規則自組織模糊控制模擬。
  13. In the control process uses two bp network. one is used as nni recognizing the model, another as neural network control device ( nnc ). but first off - line recognizes controlled device, make sure nnc initial weights

    在控制的過程中，採用兩個bp網路，一個作為神經網路辨識器（ nni ）進行辨識建模;另一個作為神經網路控制器（ nnc ） 。
  14. Based on underwater vehicle ' s nonlinear differential equation and observation equations, swarm intelligence algorithm is used to identify ten hydrodynamic parameters from simulation observed data of the motions of underwater vehicle

    摘要通過水下航行體的狀態方程和試驗觀測方程，利用智能辨識技術對水下航行體的模擬運動數據進行了模擬辨識，求得了10個水動力參數。
  15. This paper combines model identification of batch cooking process with process monitoring. state - space model of batch process are identified directly from process data using subspace identification method, which are developed originally for identifying continuous processes

    將過程的模型辨識和質量監控結合起來，把連續過程建模中提出的子空間辨識方法應用到間歇蒸煮過程。
  16. Three propositions are proposed based the vector base network. cognition of human being and vector base cognition model are compared, the corresponding connection is created. 7 ) the application for rubber mixing process is given : abnormal modeling samples first removed, svm is applied to build the discharge model to establish the rubber discharge condition, and long term practical production validated the discharge modeling method ; adopting dynamic rkrls and rsvm, mooney time serials is used to model and predict, which shows better prediction ability than rls ; using v

    7 ）將本文演算法在橡膠工業的密煉過程得到實際的應用:在排除異常樣本點的情況下，利用5vm的工業特性，進行排膠點的建模，獲得好的應用效果:利用動態的rkrls和rsvm演算法，通過對橡膠棍煉質量的門尼指標進行建模和預測分析，表明演算法具有較好的跟蹤預測性能;利用矢量基學習網路對密煉過程的門尼進行辨識建模和預報，獲得了較好的效果，從而實現了更好的門尼波動的控制。
  17. This module will introduce students to the major political institutions and political processes of hong kong and will guide students, through workshops, to apply social science research to a chosen policy problem. students will learn to master the facts, understand the values and interests behind the dispute, put the issue into the larger contexts, reach compromises, arrive at decisions under the pressure of time with uncertainties and convince other people

    本單元介紹香港特別行政區的主要政治機構及決策過程，並透過工作坊的形式，幫助學員運用社會科學研究以解決政策難題。學員將學習如何有效掌握資訊、辨識爭論背後之利害關系、從較廣闊之層面分析問題、商討協議，以及於時間緊迫及不明朗的情況下，制定並推廣決策。
  18. ( 2 ) by using the methods of analytic geometry and mbs and parameter measure map along x - axes by 9 - line distinguish method, the formulas for correctly identifying the error parameters have been established

    （ 2 ）針對sk - 21數控磨床開展誤差參數檢測實驗，通過現場測量，獲得凸輪工作臺直線運動誤差和旋轉誤差數據，運用9線辨識法進行分析，經數學處理后為補償程序提供必要數據。
  19. By analyzing the purchasing process of retail customers to know the elements composing affecting customers value and cost. those different elements can be transformed by " value exchange coefficient " into uniform measurement unit to be compared and calculated

    同時，通過分析零售顧客的購買活動過程，辨識了影響顧客價值和顧客成本的各要素構成，且認為各種不同性質的要素之間，可以通過「價值轉化系數」轉化為可以進行比較和計算的統一計量單位。
  20. It solves the problem of model order determination and model validation for multivariable processes. it improves model quality and reduces time for plant test and data analysis and reduces disturbance to unit operation during plant test

    它避免了多變量過程辨識方法的模型階次估計、模型驗證的難點；與階躍測試法相比，採用多通道測試信號，對裝置生產的影響小，且允許操作工在測試期間進行操作。
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