非遞歸系統 的英文怎麼說

中文拼音 [fēidìguīxìtǒng]
非遞歸系統 英文
non recursive systems
  • 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 ...
  • 遞 : Ⅰ動詞（傳送;傳遞） hand over; pass; give Ⅱ副詞（順著次序） in the proper order; successively
  • 歸 : Ⅰ動詞1 （返回） return; go back to 2 （還給; 歸還） return sth to; give back to 3 （趨向或集中於...
  • 系 : 系動詞（打結; 扣） tie; fasten; do up; button up
  • 統 : Ⅰ名詞1 （事物間連續的關系） interconnected system 2 （衣服等的筒狀部分） any tube shaped part of ...
  • 系統 : 1. （按一定關系組成的同類事物） system 2. （有條理的;有系統的） systematic
  1. Chaos theory is defined as the study of complex nonlinear dynamic systems. complex implies just that, nonlinear implies recursion and higher mathematical algorithms, and dynamic implies nonconstant and nonperiodic

    混沌理論用於研究復雜非線性動態系統。復雜意謂它就是那樣，非線性意謂遞歸和更高數學法則，而動態意謂非常數及非周期。
  2. Based on reconstruction of phase space of dynamical system, we research the divinable capability of time series from the point of view of nonlinear dynamics by constructing recurrence plot

    在動力系統的相空間重構基礎上，通過構造遞歸圖，從非線性動力學的角度研究了時間序列的可預測性。
  3. For the exact feedback linearization of general nonlinear singular systems, by taking the algebraic variables as virtual inputs, a recursion inverse algorithm is introduced in this paper

    摘要對一般廣義非線性系統的反饋線性化問題，通過將代數變量視為虛擬輸入，給出了構造性遞歸求逆演算法，實現了系統的精確反饋線性化。
  4. Simple recurrent neural network control for non - minimum phase nonlinear system

    非最小相位非線性系統的簡單遞歸神經網路控制
  5. Some achievements acquired are as the follows : ( 1 ) to meet the demands of the identification and control of nonlinear dynamic systems, the dynamic recurrent neural networks ( drnn ) are applied in this study, which integrate the nonlinear mapping abilities of the feedforward nn with the dynamic evolution capabilities of the feedback nn

    本文的研究成果包括: 1 .為滿足非線性動態系統辨識與控制的需要，本文結合了靜態前饋神經網路與動態反饋神經網路的優點，採用具有隱層自反饋的elman型動態遞歸神經網路（ drnn ）以實現基於神經網路的彈性連桿機構振動主動控制。
  6. ( 4 ) with the help of the experimental samples, a drnn identifier is trained off - line utilizing the compound identification method. the nonlinear dynamic model is achieved for the experimental mechanism

    4 .在系統辨識方面，本文以實驗輸入輸出數據作為訓練樣本，採用復合辨識方法離線設計了動態遞歸神經網路辨識器，獲得了彈性連桿機構的非線性動力學模型。
  7. ( 6 ) this dissertation makes a detailed study of the nn based adaptive control of nonlinear dynamic systems. two types of drnn controllers are designed using the experimental samples, which are named the open - loop controller and the close - loop controller respectively. the experimental mechanism is controlled on - line by means of the nn based direct self - tuning control strategy and the nn based indirect adaptive control strategy

    6 .本文對基於神經網路的非線性動態系統自適應控制方法進行了深入研究，利用實驗輸入輸出數據離線設計了動態遞歸神經網路開環、閉環控制器，並分別採用基於神經網路的直接自校正控制方法與基於神經網路的間接自適應控制方法對彈性連桿機構實施了在線控制。
  8. Nonlinear dynamic modelling of sensors is an important aspect in the field of instrument technique. the recursive neural network is proposed for nonlinear dynamic modelling of sensors, as its architecture is determined only by the number of nodes in the input, hidden and output layers. with the feedback behavior, the recursive neural network can catch up with the dynamic response of the system. the recursive neural network which involves dynamic elements and feedback connections has important capabilities that are not found in feedforward networks, such as the ability to store information for later use and higher predicting precision. a recursive prediction error algorithm which converges fast is applied to training the recursive neural network. experimental results show that the performance of the recursive neural network model conforms to the sensor to be modeled, and the method is not only effective but of high precision

    根據動態校準實驗結果建立傳感器的動態數學模型，以研究傳感器的動態性能，是動態測試的一個重要內容.討論了遞歸神經網路模型在傳感器動態建模中的應用，給出了遞歸神經網路模型的結構及相應的訓練演算法.由於其反饋特徵，使得遞歸神經網路模型能獲取系統的動態響應.該方法特別適用於傳感器非線性動態建模，而且避免了傳感器模型階次的選擇的困難.試驗結果表明，應用遞歸神經網路對傳感器進行動態建模是一種行之有效的方法
  9. The model employs advanced linear programming technique, including the device to distribute the material to downstream automatically, nonlinear recursion, modeling and auxiliary function of data, and advanced distribution recursion, which can describe enterprises producing and management course accurately, perfect the function of enterprises management system, and promote enterprise ' s management level

    模型採用先進的線性規劃技術，包括自動將物料質傳遞到下游裝置、非線性回歸、建模和數據輔助功能及先進的分散式回歸，可以準確描述企業的實際生產經營過程，該完善企業管理系統的功能，提升企業管理水平。
  10. Neural networks can be viewed as a universal approximator for nonlinear functions, but the multi - layer feed - forward neural network which be used usually is a static state network in nature, it is disagree with the real - time identification for dynamic system. moreover, recurrent neural networks can simulate the state memory mechanism of dynamic system, so it can be utilized as the model of dynamic time delay system

    神經網路具有逼近任意連續非線性函數的能力，但常用的多層前饋式反傳網路本質上是一種靜態網路，不適合動態系統的實時辨識，而遞歸神經網路能夠實現對動態系統狀態記憶機制的模擬，因此更適合於作為動態時延系統的模型。
  11. The predictive control of a nonlinear system with time - delay based on recurrent neural networks

    基於遞歸神經網路的大滯后非線性系統預測控制
  12. A dynamic nonlinear system is identified through recurrent nn using back propagation ( bp ) algorithm and dynamic bp algorithm respectively

    然後利用遞歸網路對動態非線性系統進行辨識，並與傳統的預報誤差方法作了比較。
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