自遞歸 的英文怎麼說

中文拼音 [zìdìguī]
自遞歸 英文
self-recursion
  • 自 : Ⅰ代詞（自己） self; oneself; one s own Ⅱ副詞（自然;當然） certainly; of course; naturally; willin...
  • 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...
  1. As it can be expressed easily by argument equations, we use the conicoid as the criteria of points " classification. based on the point ' s normal and the adjacent field, corresponding to the conicoid equation such as plane, ball and cylinder, we search the points that fit the equation along the adjacent field. using this method, we realized the automatic classification of unorganized points

    本文採用了可以比較方便地用參數方程表示的二次曲面作為數據點的分類標準，根據點的法向量以及其鄰域結點的各種屬性，對應于平面、球面、柱面等二次曲面，依據曲面方程的特點，從起始點開始沿鄰域深度優先遞歸尋找符合方程的數據點，實現了散亂數據點的自動分類。
  2. Bottom - up parsing implementation with recursive descendent method

    用遞歸下降方法實現自底向上的語法分析
  3. Neural network control is an important mode of intelligent control, and it is widely used in branches of control science, first, the architecture and the learning rule ( error back propagation algorithm ) of multiplayered neural network which is widely used in control system are presentedo especially, the paper refers to the architecture of diagonal recurrent neural network and its learning algorithm - - - - - recurrent prediction error algorithm because of its faster convergence with low computing costo next, before introducing the neural network control to the double close loop dc driver system, the controllers of current and velocity loop are designed using engineering design approach after analysis of the system, simulation models of the system are created

    神經網路控制是智能控制的重要方式之一，它廣泛應用於自動控制學科各個領域。本文首先敘述了控制系統中常用的多層前饋網路結構及演算法（ bp演算法） ，特別提及了能夠較好描述系統動態性能的對角遞歸神經網路和在用遞推預報誤差演算法訓練drnn時取得了較快的收斂速度。其次，應用工程方法分析設計了tf - 1350糖分離機的電流、轉速雙閉環直流調速系統的控制器，作為引入神經網路控制的設計基礎，並建立了系統的模擬模型。
  4. Deadlock prevention and surprise dismount handling during this process require heroic efforts, including a mechanism whereby a file system driver can stash a pointer to an automatic variable ( that is, one allocated on the call / return stack ) to be used in deeper layers of recursion within the same thread

    在這個過程請求宏大結果的時候， （進行）死鎖預防和意外卸下處理，包括一個機制，憑借這個機制文件系統驅動可以中斷在相同線程中用於深層遞歸的自動變量的指示器（就是說，在調用/返回堆棧上分配一個） 。
  5. A new recurrent neural network structure, self - feedback diagonal recurrent neural networks ( sdrnn ), is also designed in this chapter. the learning algorithm of sdrnn is given and the convergence of this algorithm is proved. the simulation results show the validation of the structure and the learning algorithm

    在局部遞歸神經網路結構方面，提出了一種遞歸神經網路結構? ?自環對角遞歸神經網路結構（ sdrnn ） ，給出了相應的學習演算法，證明了演算法的收斂性，並進行了模擬實驗。
  6. This paper makes researches on pdm ' s kernel function - pcm ( product configuration management ) under the conditions of autocad and low - price dbms witch could be acceptable in our middle or small factories. this paper mainly discusses the recursive query algorithm based on general database witch is offered in oracle, the problem of the automatic bom maker for autocad and conversion from bom to product structure trees. thus the data of autocad files could go into erp ( enterprise resource plan )

    本文從pdm理念出發，在我國中小企業普遍能接受的autocad和低價位數據庫管理系統的平臺條件下，對pdm的核心技術模塊pcm （產品結構管理）的實現進行了研究，重點解決了在一般數據庫中實現數據庫系統oracle中具備的遞歸查詢演算法， autocad環境下bom表的自動生成技術，以及bom表向產品結構樹的轉化問題，從而使cad數據通過bom表的橋梁作用進入erp （企業資源計劃）系統。
  7. The hybrid control of a permanent magnet linear synchronous motor ( pmlsm ) servo - drive system using an adaptive recurrent neural network was put forward to solve the problem of poor stable precision in the servo system of packaging binding machine

    摘要根據裹包機的驅動系統控制精度較差的問題，提出採用遞歸神經網路自適應混合控制線性同步電動器驅動機系統。
  8. Then, as the substitute of the traditional pi controller, neuron adaptive psd controller is used to alternate the velocity loop of dc driver system, simulation results show that the super - shoot in new system is small and the performance in the way of anti - disturbance and anti - time - varying parameters are higher than the traditional pi controller and robustness of the dc driver system improved greatly, in addition, through analysis of the character of the neuron adaptive psd controller, the paper presents a neural network self - tuning control method for dc driver system in which the diagonal recurrent neural network is used to identify the plant to calculate the plant ' s sensitivity for psd controllers simulation results indicate that excellent static dynamic target was got with this control method and the performance of the system is improved greatly,

    然後，應用單神經元自適應psd控制器改造調速系統的轉速環，代替傳統pi調節方式的轉速控制器。模擬表明，新系統在超調、抗負載擾動和參數時變方面性能優于的傳統的pi控制方式，系統的魯棒性增強。在分析單神經元自適應psd控制器特性后，本文提出用對角遞歸神經網路辯識控制對象，為psd控制器提供靈敏度參數，從而構成一神經網路自校正控制方案。
  9. Two - stage algorithms of parameter estimation for the autoregressive moving average ( arma ) models are presented, which are called two - stage recursive least squares algorithm ( 2 - rls ) and recursive least squares - pseudoinverse algorithm ( rls - pi )

    本文提出了自回歸滑動平均（ arma ）模型的兩段參數估計演算法：兩段遞推最小二乘演算法（ 2 - rls ）和遞推最小二乘-偽逆演算法（ rls - pi ） 。
  10. Synthesizing the two identification methods of weighted least square and resricted memory, the mutivariable system recursive estimate algorithems of unknown parameter of autoregressive models in the presence of controlled inputare are given

    摘要將加權最小二乘法和限定記憶兩種參數估計方法相綜合，給出了多變量系統帶控制輸入的自回歸模型未知參數的遞推估計演算法。
  11. The output sinr limitations of mmse and constrained mmoe optimal filter are derived in the cirsumstance aforementioned. these limitations constitute the base of the code - aided optimal filtering and nbi estimate - subtract filtering. this dissertation summarize the recursive least squares ( rls ) algorithm, blind recursive least squares algorithm and the qr decomposing for these two algorithms

    為自適應實現碼輔助最優濾波，本文系統總結了遞歸最小二乘（ rls ）和盲遞歸最小二乘（ brls ）演算法，以及兩者基於正交三角分解（ qrd ）的并行計算結構。
  12. The following example shows using recursive triggers to solve a self - referencing relationship also known as transitive closure

    下面的示例中說明使用遞歸觸發器來解決自引用關系（也稱為傳遞閉包） 。
  13. The thesis, in the probability analysis and computation, considers the failure history of space frames and trusses, adopts the bound criterion and algorithms on the base of system ' s critical strength, and introduces the soft self - adaptation control bound into the identification of dominant failure modes ; at the same time, with the incremental load method and differential equalized recursive method, computes the limit - state function of failure mode and probability index precisely under no leaking the dominant failure modes

    文中在可靠性分析和計算部分，考慮空間剛桁架結構系統的失效演化歷程，採用基於系統臨界強度的約界準則和約界演算法，將柔性自適應控制邊界引入失效模式識別過程；同時，用荷載增量法和微分等價遞歸演算法相結合，確保在嚴格不遺漏主要失效模式的情況下，快速準確地求解失效模式的極限狀態方程和可靠度指標。
  14. According to the requirements to pd pattern auto - recognition, this paper studies systematically the basic theories and realizable methods for auto - recognition of pd gray intensity image : ( 1 ) in the requirement of on - line pd monitoring for transformer, several discharge models are designed and the relevant experiment methods projected. with discharge model tests, a lot of discharge sample data is acquired. on the base of systematical research on recognition for pd gray intensity image, this paper puts forward two kinds of fractal features, the 2nd generalized dimensions of original pd images and fractal dimensions of high gray intensity pd images, and then the relevant extraction methods

    針對局部放電模式自動識別的需要，作者系統地研究了局部放電灰度圖像自動識別中的基本理論和實現方法： （ 1 ）根據變壓器局部放電在線監測的要求，設計了放電模型和實驗方法，並通過模型實驗獲得了大量放電樣本數據，為構造局部放電灰度圖像和採用bpnn進行識別作好準備； （ 2 ）研究了局部放電灰度圖像的構造方法以及降維構造32 32灰度和矩陣的方法；在用人工神經網路對局部放電進行模式識別時，分析了bp網路的優缺點，對典型bp網路的結構和學習訓練演算法提出了改進，採用帶有偏差單元的遞歸神經網路作為模式分類器；採用32 32灰度和矩陣進行bpnn識別結果表明這種方法是有效的。
  15. 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。
  16. Since there are a lot of periodic non - stationary stochastic processes, i combine the kalman filtering and multiresolution analysis methods, and propose the wavelet - kalman filtering hybrid estimating and forecasting method. this method has the real - time, recursion and multiresolution characteristics. in this paper, using this method, i realize the real - time tracking and dynamic multistep forecasting in one cycle

    針對自然、社會和經濟等環境中存在有大量周期性的非平穩隨機過程，我們將kf方法和多尺度分析方法相結合，提出了既具有實時性和遞歸性又具有多尺度分析能力的小波?卡爾曼濾波混合估計與預報方法，應用此方法可實現周期內對目標狀態的實時跟蹤估計和動態多步預報。
  17. But although it is well known how to automatically transform a tail - recursive function into a simple loop, the java specification doesn t require that this transformation be made

    但是，盡管大家都熟知如何把一個尾遞歸函數自動轉換成一個簡單循環， java規范卻不要求做這種轉換。
  18. It should not be self - loading ; that would cause recursion. as such, we need to mark test cases as not loadable

    不應該自我調用；那會引起遞歸。同樣的，我們需要標注測試環境不可載入。
  19. Considering self - recursion " structure can work on its inversion effect, so the paper uses contractive mapping genetic algorithm to search its optimal struct

    考慮到自遞歸神經網路的結構影響到其反演效果，本文利用壓縮映射遺傳演算法來搜索其最佳的結構。
  20. ( 4 ) the paper has studied the structure and training algorithm of self - recursion neural network. it also studies the convergence and stability of self - recursion neural network " training algorithm by using lyapunov method. then the paper use inversion method to simulate the vibration field of ground vibration caused by track traffic by self - recursion neural network for the first time

    （ 4 ）研究了自遞歸神經網路的結構及訓練演算法，利用lyapunov方法研究了自遞歸神經網路訓練演算法的收斂性和穩定性，並首次利用自遞歸神經網路來反演軌道交通引起地面振動的振動場。
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