fast convergence 中文意思是什麼

fast convergence 解釋
快速收斂
  • fast : adj 1 緊 （opp loose）， 牢實的，堅牢的，粘得緊的，堅固的；固定的。2 忠實的，可靠的。3 耐久的；不...
  • convergence : n. 1. 聚合，會聚，輻輳，匯合。2. 集合點；【數、物】收斂；【生物學】趨同（現象）。
  1. However, in existing global newton ' s methods a linearized variational inequality subproblem has to be solved at each iteration, whose computational cost is equivalent with a qp problem, and the local fast convergence is usually established theoretically incompletely

    通過應用fiseher一burmeister非線性互補問題函數， h . qi和l . qi在17 ]中對以前的qp一free演算法做了有效的改進，使得迭代矩陣的一致非奇異性得到保證。
  2. The improved algorithm not only inherits the fast convergence trait from rls and realizable systolic array from qr _ rls, but also eliminates square - root operation and gets directly equalizer output signals from systolic array. so this algorithm has more simple operation, faster executing speed, less hardware resource and lower hardware cost. some different equalization algorithm are imitated on the qpsk communication system with multipath channel

    其次對一些成熟的自適應均衡演算法（如lms演算法、 rls演算法、 qr _ rls演算法、逆qr _ rls演算法）進行了分析;介紹了一種改進后的無平方根的qr _ rls演算法，該演算法不但繼承了rls的快速收斂特性和qr _ rls演算法的systolic陣列可實現性，還取消了qr _ rls演算法的平方根運算，使演算法在硬體實現時運行速度更快，佔用資源也更少，同時該演算法還可由systolic陣列直接得到均衡后的輸出信號，運算量更小。
  3. Finally, take example for a non - linear function, method mentioned in this paper is used to design wavelet neural network to approximate this function. the computer simulations confirm the method that is brought out in this paper is useful, and prove that wavelet neural network has not only fast convergence and better precision of approximation, but also good capability of forecasting and escaping error

    最後，對於一個實際的非線性函數，用本文介紹的方法來設計小波神經網路來逼近函數，模擬結果表明該方法的有效性，並且表明小波神經網路在函數逼近上，網路的收斂速度快，逼近精度高的特點，並且網路具有很好的泛化能力和容錯性。
  4. The computer simulation shows its advanteges of fast convergence and high approximation accuracy over the back propagation ( bp ) network and fuzzy neural networks

    通過計算機模擬與bp網路和模糊神經網路進行了比較，發現收斂速度非常快，逼近誤差很小。
  5. Their learning and training rules have been analyzed profoundly and their abilities to approximate arbitrary nonlinear function have been testified and compared by the simulation. a new rbf neural network has been presented which uses a raised - cosine function as activation transfer function. it provides a wider generalization in comparison with gaussian rbf neural networks by simulation as well as strong approximation ability, fast convergence, a rule to select the parameters of the networks

    本文詳細研究了兩種典型的前向神經網路（ bp網路和rbf網路）的學習和訓練演算法，提出了一種新穎的基於緊支集餘弦函數的徑向基神經網路，其克服了常用的高斯型rbf神經網路雖具有緊支集但各基函數非正交的不足，其收斂速度快、網路參數選取有理論依據且相比于高斯型rbf神經網路具有更強的泛化能力，模擬驗證了其有效性。
  6. Simulation results demonstrate that the algorithm not only has fast convergence and high accuracy, but also can improve the output snr greatly

    模擬實驗表明，該演算法具有快速收斂性能和高精確度等優點，能夠大大提高分離后的輸出信噪比。
  7. Based on x - filtered lms algorithm and - filtered lms algorithm adaptive inverse control, we use a new variable step size lms algorithm. adding little computation, variable step size lms algorithm can result in fast convergence speed and low residual error simultaneously. the adaptive feedback control can counteract the beginning error of the system

    在原來的x -濾波lms演算法自適應逆控制和-濾波lms演算法自適應逆控制方法的基礎上，引入了新的變步長lms演算法，在計算量增加不多的前提下，能同時獲得較快的收斂速度和較小的穩態誤差；引入自適應的反饋補償控制克服了被控系統的直流零頻漂移，使控制系統在初開始工作階段快速收斂；還引入自適應擾動消除器，它能最大限度的消除擾動。
  8. Abstract : this paper discusses high order numerical model of non - linear boundary equation. by using integral technique, the boundary condition problem is turned into a form initial condition problem. we construct 4 order numerical formula. the convergence theory is given and proved. the examples show that our method has fast convergence speed and less numerical time

    文摘:討論非線性邊值問題的一種高精度計算模型.利用積分值將邊值問題轉化為形式初值問題，構造了一類四階精度的計算格式，證明了收斂性.通過算例表明該方法收斂速度高，計算量小
  9. Then the paper develop a refrigerant model by means of traditional bp algorithm 、 statistics theory 、 experience theory and thoroughly analyze the combination of these three methods and their predict precision. and then the paper put forward an advanced algorithm on the basis of combining the statistics theory and the problems on the traditional bp algorithm. the imitate results show that the algorithm has an ability of fast convergence speed and

    然後分別應用傳統bp演算法、全量法和增量法建立冷卻劑子模型，對三者的擬合和預報精度作了深入分析，並結合統計學習理論針對傳統的bp演算法存在的問題提出了改進的演算法。模擬結果表明該演算法具有較快的收斂速度和較強的學習能力。
  10. Firstly, we improve the algorithm for fast convergence of back propagation by enlarging error in the research of bp network

    首先，在bp神經網路的研究中，對基於誤差放大的快速bp演算法作了改進。
  11. Fast lms / newton algorithm has provided the possibility of the real - time acoustic echo cancellation ~ [ 4 ]. it combined with the simplicity of the lms algorithm and the fast convergence rate of the newton algorithm. based on the fast lms / newton algorithm, an improved fast lms / newton algorithm has been presented in this paper

    本文在原有的快速u心勸啪wton演算法的基礎上，對演算法進行了改進，經計算機模擬驗證，改進的演算法在稍微增加一點運算量的前提下，得到了更快的收斂速度及更穩定的性能lgl 。
  12. The new algorithm has not only the global of genetic algorithm, but also the fast convergence of the simplex algorithm

    該新演算法既具有遺傳演算法的全局收斂性，又具有單純形法的快速收斂性。
  13. The improving neural network subsection prediction model can take advantage of simple network structure, fast convergence rate and strong generalization capability, and get a good modeling effect

    尤其是改進的神經網路分段預測模型具有網路結構簡化、收斂速度快，泛化能力強的特點，取得很好的擬合精度和預測效果。
  14. At last, the algorithm is proved to have a good search ability on the global solution space and a fast convergence speed by a sample

    算例結果表明，該方法具有全局搜索能力強，收斂速度快的特點。
  15. The paper proposes a novel learning algorithm for precise phase control of oscillatory neural networks. a target oscillator is employed to temporally synchronize correlated objects in an input binary image while uncorrelated objects are desynchronized via adjustable phase shift that is proportional to their spatial position. the proposed learning rule has a fast convergence, and can achieve an extremely small phase error

    設計了一種新的神經元振蕩器網路快速同步學習演算法，該演算法能保證同組的振蕩器達到完全同步；同時，採用相位延遲方法，使不同圖像目標的振蕩器組的相位延遲正比于其在空間上的距離，實現目標對象的分離與提取
  16. The results of simulation and industrial application show that the hybrid learning algorithm has properties of fast convergence and high accuracy

    模擬例子和工業應用實例均說明了該方法的有效性。
  17. Simulation studies have shown that this nonlinear adaptive inverse control system can erase disturbances and result in fast convergence speed

    模擬結果證明了這種非線性自適應逆控制系統收斂速度非常快，消除擾動能力很強。
  18. In the aspect of detection and high precision estimation of seafloor backscattering, algorithms of fast convergence of energy center and correlation of eigen - replica were developed. also studded were processing methods of weighted mean time ( wmt ) and bearing direction indicator ( bdi ) based on fft beam forming as well as high precision detection and estimation of time of arrival ( toa ) and direction of arrival ( doa ) using split beams phase difference detection technique

    圍繞海底反向散射信號的高精度檢測和估計技術，開發了快速能量中心收斂演算法和特徵模型相關演算法，研究了基於fft波束形成的加權時間平均與方位指示處理方法，並討論了利用分離波束相位差檢測技術的海底反向散射信號到達時間（ toa ）和到達方向（ doa ）的高精度檢測與估計方法。
  19. In this part, another global optimization method, direct is also tested. it is a deterministic method, not as ga, therefore possessing relatively stronger robustness. though the precision of the optimum it finds usually is not high, it has fast convergence rate and is also an appropriate choice for many engineering problems

    在此部分還測試了另外一種全局優化方法direct ，該方法不同於遺傳演算法，是一種確定性演算法，有較強的健壯性，雖找到的最優解的精度不高，但收斂比較快，對於一般的工程問題也是一種合適的選擇。
  20. A set of calculation softwares was programmed by simulated annealing algorithm. these softwares can find the best solution without being given initial values but region of convergence, and have a lot of advantages such as fast convergence, good stability and high accuracy

    根據模擬退火演算法編制的一系列計算軟體能在大面積內快速搜索，無須給定初始值，只要給定收斂區間，就能對可疑的點進行逐次逼近，直至搜索到一組最佳的薄膜參數值。
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