adaptive convergence 中文意思是什麼

adaptive convergence 解釋
趨同適應
  • adaptive : adj. 適合的，適應的。
  • 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. Compared with the classical bp algorithm, robust adaptive bp algorithm possesses some advantages as following : ( 1 ) increasing the accuracy of the network training by means of using both the relative and absolute residual to adjust the weight values ; ( 2 ) improve the robustness and the network convergence rate through combining with the robust statistic technique by way of judging the values of the samples " relative residual to establish the energy function so that can suppress the effect on network training because of the samples with high noise disturbances ; ( 3 ) prevent entrapping into the local minima area and obtain the global optimal result owing to setting the learning rate to be the function of the errors and the error gradients when network is trained. the learning rate of the weights update change with the error values of the network adaptively so that can easily get rid of the disadvantage of the classical bp algorithm that is liable to entrap into the local minima areas

    與基本bp演算法相比，本文提出的魯棒自適應bp演算法具有以下優點： （ 1 ）與魯棒統計技術相結合，通過訓練樣本相對偏差的大小，確定不同訓練樣本對能量函數的貢獻，來抑制含高噪聲干擾樣本對網路訓練的不良影響，從而增強訓練的魯棒性，提高網路訓練的收斂速度； （ 2 ）採用相對偏差和絕對偏差兩種偏差形式對權值進行調整，提高了網路的訓練精度； （ 3 ）在採用梯度下降演算法對權值進行調整的基礎上，通過將學習速率設為訓練誤差及誤差梯度的特殊函數，使學習速率依賴于網路訓練時誤差瞬時的變化而自適應的改變，從而可以克服基本bp演算法容易陷入局部極小區域的弊端，使訓練過程能夠很快的「跳出」局部極小區域而達到全局最優。
  2. To optimize the multi - phase homing trajectory, an improved adaptive genetic algorithm ( iaga ) was proposed, which could efficiently improve convergence speed and avoid the occurrence of premature

    在對分段歸航軌跡的優化中，提出了改進自適應遺傳演算法，該演算法通過增加「強化」運算元、改進對種群「早熟」程度評價指標等，有效地提高了收斂速度、避免了「早熟」現象。
  3. Abstract : in this paper a new identification model constructed by neural networks with modified inputs and stable filters is presented for continuous time nonlinear systems in order to reduce the inherent network approximation errors. an adaptive law with projection algorithm is employed to adjust the parameters of networks. under certain conditions, convergence of the identification error is proved

    文摘:在用神經網路進行系統建模時，建模誤差的存在是難免的.為了減小這種誤差，本文對連續時間非線性系統提出了一種新的神經網路辨識模型，它是由帶有輸入修正的神經網路和穩定濾波器組合而成.文中給出了權值的學習演算法，即權值是根據辨識誤差的投影演算法來改變，證明了在一定條件下辨識誤差的收斂性
  4. Because the adaptive algorithm of conventional adaptive noise canceller is the least mean squares ( lms ), and the convergence rate of lms is heavily dependent on the eigenvalue distribution of the autocorrelation matrix of the input signal, thus lms converges at unacceptably low rates when the input signal is colored noise or speech

    由於傳統自適應噪聲抵消系統（ anc ）自適應演算法主要採用lms演算法，而lms演算法收斂速度依賴于輸入信號自相關矩陣特徵值的分散程度。因此，當輸入信號是語音或有色噪聲時， lms的收斂速度很慢。
  5. Simple genetic algorithm gets local minimization too easily and converges slowly. to solve these problems, adaptive crossover rate that has reverse hyperbolic rel ation with the numbers of iteration is designed, and adaptive mutation rate that has reverse proportion to the distances of parents and reverse exponential relat ion to the numbers of iteration is put forward. the practical simulation results show that the adaptive ga has greater convergence speed and larger probability o f getting the best solution

    簡單遺傳演算法存在著收斂速度慢、易陷入局部極小等缺陷.針對這些缺陷，本文設計出隨相對遺傳代數呈雙曲線下降的自適應交換率，並提出與父串間的相對歐氏距離成反比、隨相對遺傳代數指數下降的自適應變異率.實例驗證表明，具有自適應交換率和變異率的遺傳演算法在收斂速度和獲得全局最優解的概率兩個方面都有很大的提高
  6. Lastly, the dissertation designs a rank - reduced blind space - time 2 - d rake receiver using time extraction which has not only the capability of space - time equilibrium but also reduces the convergence time of adaptive array and the rank of correlated matrix of the received data

    最後，設計了一種時間抽取降秩盲空時2 - drake接收機。分析了其性能和參考信號的提取方法。該接收機不但具有空時均衡的能力，而且降低了陣列的收斂時間和接收數據相關矩陣的秩。
  7. Among the adaptive beam - forming algorithms, the least mean square algorithm is widely used because it has a simple configuration and it is apt to come true and have nice convergence. on the other hand, it has a disadvantage that it converges slowly and there is a conflict between the fixed step and the convergence pace or the error in stabilization. so people have developed many improved least mean square algorithms which generally start from convergence, stabilization, misadjustment, and robustness and come to a formula about variational step in the end

    在自適應波束形成演算法中，最小均方（ lms ）演算法因結構簡單，易於實現，能穩定收斂而得到廣泛應用，但它也存在收斂速度受限的缺點：固定步長因子無法解決收斂速度和穩態誤差之間的矛盾。因此，人們提出了各種改進的最小均法演算法來解決這一問題。改進的最小均方演算法通常從如何改進收斂速度、穩態誤差、失調量和魯棒性等指標上出發，最後在新演算法最終表達式中的步長公式上變化。
  8. Secondly, the dissertation presents a 3 - dimensional searching method with afc and pn code synchronization and adaptive array convergence in order to accurately estimate the frequency difference between the received signal and the local oscillator

    其次，為了準確估計接收信號和本地振蕩器之間的頻差，提出了afc 、 pn碼同步、自適應陣收斂的三維搜索策略。
  9. To pick up the convergence speed of traditional genetic algorithm, a modified genetic algorithm is presented, which is based on subsection integer coding, combining stable - state selection strategy with inequality individual and scaling, adaptive recombination according to gene sufficiency, self - adaptive variable step and multi - gene mutation

    將兩幅圖象重疊區域的歸一化差圖象作為搜索空間，定義一個與圖象高相等維數的向量作為染色體，染色體的基因表示每一行圖象中的最優拼接點，採用常用的最小值搜索適應度函數作為視差圖像拼縫搜索的適應度函數。
  10. On one hand, from the technique of constrained least squares and limited energy of additive noise, an effective restored approach by adopting regularization method to overcoming ill - posed problem, solving an equation with a single variable, and using space iterative algorithm is proposed ; on the other hand, aiming at the restoration of blurred image, another effective restoration approach based on least - square algorithm is also proposed in this paper. this method firstly adopts increment iterative algorithm to improve convergence and meanwhile applies regularization technique to overcome ill - posed problem. in the computations, the regularized parameter has its adaptive character, which can be determined in terms of the restored image at each iteration step therefore automatically correct to the appropriate value

    一是從約束最小二乘出發，在加性噪聲能量有界的前提下，採用正則化方法來克服病態問題，通過解一個單變量方程，並利用空域迭代運算實現了一種有效的圖像復原;二是針對模糊圖像的復原問題，從最小二乘演算法出發，採用增量迭代的方法改善演算法的收斂性，同時結合正則化技術克服問題的病態性質，並引入自適應的正則化參數，使其與圖像復原的迭代運算同步進行並自動修正到最優值。
  11. 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。
  12. New genetic algorithm with adaptive population size ( ngaaps ) is proposed to overcome premature convergence and slow convergent speed in the later evolution process of simple genetic algorithm

    摘要針對簡單遺傳演算法存在早收斂和在進化後期搜索效率較低的缺點，提出了一種新的種群數自適應遺傳演算法。
  13. A new genetic algorithm with adaptive population size ( ngaaps ) is proposed to overcome premature convergence and slow convergent speed in the later evolution process of simple genetic algorithm

    摘要針對簡單遺傳演算法存在早收斂和在進化後期搜索效率較低的缺點，提出了一種新的種群數自適應遺傳演算法。
  14. Combining, switching adaptive control and neural network, a new adaptive control algorithm which can adjust continuously is proposed. the tracking and convergence properties of the closed loop are proved

    摘要將開關自適應控制與神經元網路相結合，提出了一種新的能連續調整的自適應魯棒控制演算法，給出了其閉環系統的跟蹤收斂性證明。
  15. Making use of the idea of the parallel genetic algorithms, presenting the adaptive multiple subpopulation evolutive strategy. presenting extinction and immigration strategy in order to avoid the similar or even same individuals appear. in order to enhance convergence velocity of reactive power optimization of the radial distribution system, combining the characteristic of the radial distribution system, a sensitivity analysis approach was build up for optimal selection of capacitors and mutation of transformer tap changer

    為了提高配電網無功優化的收斂速度，結合配電網的特點，提出採用簡單可行的靈敏度公式選擇無功電容補償器的安裝地點，並用靈敏度分析變異變壓器分接頭，使變異運算元的選取更符合配電網無功優化問題中關于調節變壓器分接頭的實際情況，減少了一些不必要的變異運算，使適應性和魯棒性加強；根據實際情況採用無功補償電容器的啟發式變異，使變異運算元的選取更符合無功優化問題中關于補償電容器的實際。
  16. A new robust adaptive scheme which are used for tracking of this robot with parametric and bounded external uncertainties is proposed in this thesis. the controller is consist of a controller which is proposed by slotine1 ' 1 and nonlinear continued feedback compensation part. by estimating the unknown physical parameters of robot on - line, it can eliminate the effects result by parameters and external disturbances and guarantee gas and uniform boundedness of parametric estimation. the only information required in setting up the strategy is the output states of jionts, while the inversion of the inertia matrix or estimation the bound of the inertia matrix and measure the jionts accelerations are not needed. it is shown by simulations that the proposed control scheme has quicker convergence velocity and better control precision than paper [ 1 ] and control schemes at present

    針對該模型具有參數及有界外部擾動不確定性時提出了一種新的魯棒自適應控制策略，控制器由基於slotine的控制器和非線性連續反饋補償控制器構成。通過在線估計機器人的未知物理參數，有效的消除了由參數及外部擾動所引起的不確定性影響，保證系統達到漸近穩定和參數估計一致有界。與現存的許多控制方法相比，該控制策略不需求解慣性矩陣的逆或估計慣性矩陣的界，不需測量關節加速度，而唯一需要了解的只是系統輸出的位置及速度狀態。
  17. We study on using the focusing matrix of coherent subspace method ( csm ) to update the date matrix before the fast follower jammer coming, and then improved the adaptive beamformer ' s convergence. in the second one, when there are fast follower jammer and wide - band interference, we suppress them separately

    另一方面，在同時存在寬帶阻塞干擾和快速跟蹤干擾時，利用兩種干擾與期望信號到達時間的不同，分兩個階段分別將其抑制，降低了干擾對系統的影響。
  18. Traditional inertial mechanized - platform uses velocities to damp the system attitude to improve the precision of attitude, when the system acceleration is small. referring to the idea, this paper designeda damp kalman filter in strap - down attitude heading reference system ( ahrs ). the new method makes use of 3 - d accelerometer ' s measurements to estimate the system attitude, which is measured to compensate attitude errors. because the acceleration affected the precision of fiher directly, the fuzzy adaptive system was presented. the fuzzy logic inputs are three accelerations and the output is to control the measurement noise covariance matrix. simulations and experimental results prove that the damp algorithm can damp most of schuler oscillation and foucauh oscillation, so that to assure the filter convergence and efficiently improve the precision of strap - down ahrs

    在系統機動性不強的情況下，傳統的平臺內阻尼演算法將系統本身的速度信息通過阻尼網路加到系統中，達到提高姿態角精度的目的.將這種平臺內阻尼的思想引入到捷聯慣性航姿系統中，在系統加速度較小的情況下，利用加速度計的輸出估計系統姿態角，通過卡爾曼濾波的形式補償系統姿態誤差.由於加速度的大小直接影響濾波器精度，本文設計了模糊自適應卡爾曼濾波演算法，根據三軸加速度計的輸出調整內阻尼量測誤差方差陣，從而避免了濾波器的發散.模擬和實驗驗證，內阻尼演算法可明顯抑制舒勒周期振蕩和傅科周期振蕩，避免了系統姿態漂移，有效提高了捷聯慣性航姿系統的精度
  19. In this paper, a new interference - space - based blind adaptive mmse linear detector and the corresponding tracking algorithm based interference correlation matrix is proposed for mai in cdma wireless celluar communication system. analysis and simulation illustrate that the proposed blind multiuser detector has lower computational complexity, faster convergence and stronger robust with respect to imprecise knowledge of the received signature waveform of user of interest

    圍繞著cdma無線蜂窩移動通信系統中的多址干擾（ mai ）抵消問題，本論文在現有盲自適應多用戶檢測技術基礎上，提出了一種新的基於干擾空間線性mmse盲自適應多用戶檢測器及其相應的基於干擾自相關矩陣c _ 1跟蹤演算法。
  20. The simulation results indicate the capability of genetic algorithm in fast and steady learning of neural networks, guaranteeing a global convergence and overcoming some shortcomings of traditional error back propagation algorithms, meanwhile prove that this neural networks adaptive control structure is effective to many control problems and it is easy for us to programme and employ the method in the practical system

    模擬結果表明遺傳演算法能夠快速穩定地學習神經網路，保證全局收斂西安理工大學碩士學位論文並且能夠克服傳統誤差反傳演算法的一些缺點，也證明了這種神經網路自適應控制結構可以有效解決系統中存在的控制難題，同時編程容易，便於在實際系統中應用。
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