線性動態網路 的英文怎麼說

中文拼音 [xiànxìngdòngtàiwǎnglù]
線性動態網路 英文
linear dynamic network
  • 線 : 名詞1 （用絲、棉、金屬等製成的細長的東西） thread; string; wire 2 [數學] （一個點任意移動所構成的...
  • 性 : Ⅰ名詞1 （性格） nature; character; disposition 2 （性能; 性質） property; quality 3 （性別） sex ...
  • 態 : 名詞1. （形狀; 狀態） form; condition; appearance 2. [物理學] （物質結構的狀態或階段） state 3. [語言學] （一種語法范疇） voice
  • 網 : Ⅰ名詞1 （捕魚捉鳥的器具） net 2 （像網的東西） thing which looks like a net 3 （像網一樣的組織或...
  • 路 : 1 （道路） road; way; path 2 （路程） journey; distance 3 （途徑; 門路） way; means 4 （條理） se...
  • 線性 : [數學] [物理學] linear; linearity線性代數 linear algebra; 線性方程 linear equation; 線性規劃 line...
  • 網路 : 1. [電學] network; electric network2. （網） meshwork; system; graph （指一維復形）; mesh
  1. In this paper, the rotating machinery at high speed is studied. there are discussed about numerical calculating methods for non - linear dynamical system, the rotor system radial impact and rubbing dynamics behavior analysis having the nonlinear rigidity on the unsteady and non - linear oil film, the rotor system dynamics behavior analysis with bending - torsional - pendular coupling vibrations, application of wavelet, fractal and network in fault diagnosis. the main works in this paper are as follows : ( 1 )

    本文以高速旋轉機械為主要研究對象，系統、深入地研究了非線性動力學系統的數值計算方法、具有非線性剛度的轉子系統在非穩態非線性油膜力作用下的徑向碰摩動力學行為、轉子彎扭擺耦合振動的動力學分析、小波和分形理論及人工神經網路在故障診斷中的應用問題。
  2. Nonlinear dynamic neural network model for rocket propulsion systems

    一種火箭推進系統非線性動態神經網路模型
  3. The evaluation of contactor performances according as dynamic characteristic curves is put forward the first time. fuzzy logic and neural network are introduced to establish a model for the contactor performances intelligent evaluation system. the model mentioned above can give a performance evaluation result in the meanwhile of the contractor dynamic process testing

    首次提出以動態特性曲線參數作為接觸器性能評判的依據，並構造了基於模糊聚類分析和神經網路演算法的接觸器動態特性性能評判模型，在實現對接觸器動態過程測試的同時，給出接觸器動態特性性能評判結果。
  4. It is proposed that the fixed capacity investment and cargo discharge regression forecasting model and the optimal average information customer distribution model can be used to predict the cargo o - d distribution. the capacity limitation dynamic increment comprehensive network model can be applied to the prediction of the channel cargo transportation discharge and the turnover discharge in the main courses. the main courses network plan grade can be verified by the total cost method, and according to which the economic rationality of constructing different grade channels can be evaluated

    本文開展了平原水網地區航道網規劃方法的研究，提出了採用固定資產投資完成額與貨運量回歸預測模型；平均信息量用戶最優分佈模型預測貨物o - d的分佈；容量限制動態增量綜合網路配流模型預測干線航道貨物運輸量和周轉量；採用總費用法論證干線航道網規劃等級，據此評定建設不同等級航道的經濟合理性。
  5. Basing on the non - linear system ' s modeling method of nn, it develops the modeling research that utilizes the mutual makeup in elman dynamic nn and invigorative model

    基於神經網路的非線性系統建模方法，開展了利用elman動態神經網路與機力模型互補的建模研究。
  6. 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。
  7. This paper uses multi - layer feedforward artificial neural networks ( abbr. mlf nns ) to approximate the nonlinear dynamic inversion on the basis of analyzing principle and characteristics of nonlinear dynamic inversion and neural networks. the pseudo - linear system has been synthesized by classic pid control and self - adaptive control separately

    將神經網路與非線性動態逆相結合，利用神經網路對系統的逆模型進行建模，對實現的偽線性系統分別設計pid控制和自適應控制兩種方案進行綜合。
  8. ( 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。
  9. ( 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。
  10. 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
  11. Based on wavelet networks and multiple model adaptive control theories, the identification and control methods for the complicated nonlinear dynamic systems are proposed

    本文以小波網路和多模型理論為基礎，對復雜非線性動態系統的辨識和控制方法進行了研究。
  12. We also propose another mobility management scheme ( mfmip ) to overcome the ping - pang effect when mobile host mobile access internet in the future wireless overlay network, where a number of networks offer similar coverage and bandwidth on the same overlay level. 5

    該演算法根據移動主機的位置信息、運動方向、速度，以及無線網路屬性，動態選擇最佳基站進行注冊，有效地克服了採用標準協議產生的乒乓效應，大大提高了吞吐性能。
  13. Following an iterative reduced - dimensional strategy, the problem of " dimension curse " can be solved effectively. in the last section of this chapter, a cascade wavelet model, which is combined with a static wavelet submodel and a dynamic linear submodel, is presented to identify the dynamic nonlinear systems

    最後，提出一種串聯小波模型，將現有的靜態小波模型與動態線性子模型串聯，可以很好地辨識非線性動態系統，而且避免了動態神經網路中非線性與記憶混合的復雜性。
  14. In recent decade years, neural network is becoming the most powerful tool in predicting non - linear dynamic system

    而今十幾年發展起來的神經網路理論逐漸成為非線性動態系統預測與建模的強有力工具。
  15. 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。
  16. In the last part, for a class of nonlinear dynamic system, the author has designed an " adaptive fuzzy wavelet neural network controller " based on t - s model and slide mode control, also the asymptotical stability of the closed - loop system is proved

    在前面工作基礎上，本文對一類非線性動態系統，設計了一個基於模糊小波神經網路自適應跟蹤器，並且證明了自適應閉環系統的漸近穩定性。
  17. The research results show that neural networks have good performance in prediction, which providing an effective approach for highly nonlinear and dynamic time series forecasting

    研究結果表明，神經網路用於預測效果好，為一類高度非線性動態關系的時間序列預測提供了一條有效途徑。
  18. The idea of on - line compensating with neural network is introduced to eliminate the inversion error which resulted from the inaccurate fighter ' s model and the faults of the fighter. the dynamic performance is improved by the weight value ' s adaptive adjust of the neural network

    為了消除由於模型不精確和飛行故障等所引起的求逆誤差，設計自適應在線神經網路用於補償非線性動態逆誤差，根據神經網路權值的在線調整來提高系統的動態性能。
  19. Abstract : explained the dann ( dynamic artificial neural network ) in terms of b uilding model and predicting of time series, presented for the first tim e a new kind of dann anhn ( artificial neural holonetwork ) for predict ing the coming trend of nonliner dynamic time series, gave its mathem atical model and its topological construction

    文摘:從時間序列建模與預報的角度討論了動態神經網路，首次提出了一種新的實現非線性動態時間序列預報的動態網路結構全息神經網路，給出了其數學模型和拓撲結構，並將其應用到了機械設備振動烈度值的預測上，取得了令人滿意的效果。
  20. The properties of the wavelet networks are analyzed. according to the approximation ability of wavelet networks, the nonlinear static system and the nonlinear dynamic system can be identified

    分析了小波網路的性能，利用小波網路的非線性函數逼近能力，對非線性靜態系統和非線性動態系統進行辨識。
分享友人
分享到 Line

分享到臉書