極小化演算法 的英文怎麼說

中文拼音 [jíxiǎohuàyǎnsuànfǎ]
極小化演算法 英文
minimization algorithm
  • 極 : i 名詞1 （頂點; 盡頭） the utmost point; extreme 2 （地球的南北兩端; 磁體的兩端; 電源或電器上電流...
  • 小 : Ⅰ形容詞1 （體積、面積、數量、強度等不大） small; little; petty; minor 2 （年紀小的; 年幼的） youn...
  • 演 : 動詞1 （演變; 演化） develop; evolve 2 （發揮） deduce; elaborate 3 （依照程式練習或計算） drill;...
  • 算 : Ⅰ動詞1 （計算數目） calculate; reckon; compute; figure 2 （計算進去） include; count 3 （謀劃;計...
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  1. Thirdly, resorting to cooperation - competition model of biomathematics, this thesis proposes a new co - evolution model. simulation results are shown to verify its effect and practicabilitv. last, standard methods for optimizing neural netvvorks are easily trapped into local optimization, and unable to adjust the structure of neural networks, thus their application is limited to certain extent

    本文主要驗證和設計適應性操作運算元和小生境方法保持群體多樣性的能力，實驗表明兩種方法都能較好地達到目的；利用生物合作競爭模型設計協同演化來動態地改變群體規模，實驗表明該模型是有效的；人工神經網路是得到越來越廣泛應用的學習系統，但是由於學習演算法存在一定的缺陷，如易於陷入局部極值，難以調整網路的結構等，使神經網路的應用受到一定的限制。
  2. A generalized minium variance pole assignment pid self - tuning controller can be used for the system with gentle time - varying delay. the controller algorithm is simplified. its effectiveness has been shown in many simulation uses

    在考慮系統時滯特性的情況下，提出了適合一類時滯系統的廣義最小方差極點配置自校正控制器，並對控制器演算法進行了簡化，使該控制器簡單易行，適應性強，模擬結果表明它的有效性。
  3. The parameter control methods are very similar to penalty function methods, both of them are to solve constrained optimization problems by solving a series of sub - unconstrained optimization problems. but parameter control methods are different from penalty function methods. firstly, the penalty coefficient of penalty function methods are preassigned, while the parameters of parameter control methodsare generated automatically according to some rule prescribed

    參數控制演算法雖然與罰函數法非常類似，都是通過求解一系列無約束極小化問題來逼近約束優化問題的最優解，但罰函數法中的罰因子是預先設定的，而參數控制演算法中的參數是自動產生的。
  4. The high entropy of the real and imaginary parts of sar raw data makes lossless - coding compression techniques unfit for sar raw data. in chapter 4, some compression algorithms for sar raw data compression, such as baq, upq, bavq and wt - subbandcade are analyzed and discussed. an improved unrestricted polar quantizer ( upq ), which can enhance the performance of the quantizer is put forward

    第四章分別對塊自適應量化（ baq ）演算法、非約束式極坐標量化（ upq ）演算法、塊自適應矢量量化（ bavq ）演算法和小波變換子帶編碼演算法進行了分析和研究，並詳細討論了這些演算法在工程實際中的應用。
  5. Fast algorithms of both discrete and orthonormal wavelet and wavelet packet coefficient are diagrammatized to be introduced. daubechies wavelet is applied to help to discuss the application and test on signal filtering and noise reduction with the principle and threshold implementation ; the basic principle to pickup the fault characteristics is introduced mainly about the relations between the maximum module and signal saltation point and how to characterize the saltation point with lipschitz exponent

    展示了離散正交小波變換的mallat快速演算法和小波包系數分解的快速演算法；重點應用daubeches小波探討了小波變換在信號濾波去噪中的應用和實驗，闡述了其基本原理和通過閾值化處理實現濾波的具體方法；探討了用小波變換進行故障特徵提取的原理，說明了小波變換模極大值和信號突變點之間的關系以及怎樣用李氏指數來表徵突變點的性質。
  6. The process is called coarse - to - fine. in the traditional pyramid method, the template is used and unvaried. but in contact - match algorithm the template is varying, which leads to void dropping into local minimal location

    與傳統匹配方式不同，傳統匹配方式中匹配模板一般不變化，而接觸匹配演算法中的模板在比較過程中不斷變化，並且有避免落入局部極小點的優點。
  7. 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。
  8. An indirect self - adaptive fuzzy - neural network controller ( fnnc ) has been proposed with its parameters and the structure tuned simultaneously by ga in virtue of the powerful optimization property of ga. the structure of the controller is based on the radical basis function ( rbf ) neural network with gaussian membership functions. the performance of the proposed fnnc is compared with a conventional fuzzy - pid controller and the simulation results show that the fnnc presents encouraging advantages

    針對神經網路採用一維反向傳播訓練演算法速度較慢且易於陷入局部極小點的不足，設計了一種間接自校正模糊神經網路控制系統，利用遺傳演算法（ ca ）對隸屬度函數的結構和參數進行優化，模擬比較表明該控制比模糊pid控制具有更優的性能。
  9. Also, the author ’ s design strategy and creativity has been given in this paper. specifically, it includes : based on the feasibility analysis of the fit selection of control parameters in the aeration process, the aeration process of wastewater treatment of the joint - constructional complete - mixed activated sludge process has been aimed at in this paper. then, the state equations of the aeration process have been proposed in this paper, which is on the base of dissolved oxygen concentration ( do ) and discharge quantity of sludge ( qw ) as control variables, the concentration of bod and sludge as state variables. based on the present study on optimization control of wastewater treatment, the multivariable optimal control model with restriction factor has been presented in the paper with introducing modern control theory and system analysis into the field of activated sludge wastewater treatment,

    具體包括:以完全混合、表面曝氣合建式活性污泥工藝的污水處理曝氣過程為研究對象，在闡述了曝氣過程式控制制參數選取可行性的基礎上，建立了以溶解氧濃度do和活性污泥排放量qw為控制變量，以曝氣池中有機物濃度s和微生物濃度x為狀態變量的活性污泥曝氣過程的基本狀態方程;運用現代控制理論的觀點和污水處理理論，在現有關于污水處理最優控制問題研究的基礎上，建立了有約束條件多變量能耗最小數學模型，該數學模型是以有機物排放總量和狀態變量的末值條件作為約束條件，曝氣過程的能耗最小作為目標泛函;採用增廣拉格朗日乘子法對最優控制問題進行轉化，並對應用極大值原理求解能耗最小這一最優控制問題進行了詳細的解析;引入約束運算元，應用具有控制約束的共軛梯度演算法對能耗最小這一最優控制問題進行求解，並進行模擬實驗驗證。
  10. 3 g 一 g g abasi 叱 加 ical pp 訕 howthe qquasi ghgsical 毗 quasi sociological methodmo 止 secondlx we uthuther nalsze the nhrsical model on which he quasi pnsical and quasi sociological methods for solving s 肛 problembased considering a physical hypothesis on this model ， we construct a counterexaxnple to showthatthe hypothesis is not eee ? howeve 二 itdoes notdamage the goodpractical effectof applpinp this phpsical model to solve s 盯 problem considering he existence of alsorithlnic region ， which reflects that the quasi sociological method is very necessw for ass 吶 ng the high efficient of theent whole algori 燦 m therefore deepens our comprehension on the quasi physical and quasi sociological methods mird1x we wpl … 叫 nas 恤 ysi 陰 1md q 阻 si 500i 吶 i0alm 毗 cd 引 0 咖 we mathematical problem ofcom 恤 non oforthogonal tmles m successfully es 恤 fish a physicalopttrizatbo model for sotring saturated o 汕 ogonal tables ， whwh ws provedto be correctintheo0 we thi 冰 。 w goodpersonated s 咖 egies forjumping out of the t 呷 oflocal minimum using quasi sociological method based onthe physical model thus wegetthe wholequasi physicaland quasi sociological algorim forthe problem ofconswction ofs 咖 med orthogonal tables he experimental results showthatthephysical model ishighly efficientthanthe conflmng nlllllber mode ！ based on me pure m 她 ematical 訕 kgfound 他 sucoes 訕 11y ? ? rk 咖 m 枷 ons 訕 卿 nal 郵 ie with 3 leve13 using th 叫 u 1 physical and quasi sociological algori 恤 we got some o 汕 ogonal t 勸 les ofl 。 ， （ 3 ’ ‘ ） which are not isomorphic moreove 乙 some ofour results are also not isomorphic to oe results pearedb 山 e open rekrences we got lip to now lastlx for 讓 卜 ancie 口 戊 扯 d importantproblemsofconstfutfuction oflatin square and orthogonal latin squares （ most of

    應用此演算法，我們成功地計算出難的三水平正交表本課題為國家重點基礎研究發展「九七三」規劃，國家「八六三」高技術發展計劃，高等學校博士學位點專項科研基金及中國科學院軟體研究所計算機科學開放研究實驗室課題基金資助項目1g一gs第四，應用擬物擬人方法嘗試求解古老而重要的拉丁方、正交拉丁方（它們事實上是正交表）問題。我們結合這些問題的特性，建立了新的物理模型，從理論上證明了這些物理模型的正確性，並設計出擬人化的「跳出局部極小值陷餅」的策略，得到了求解拉丁方、正交拉丁方的擬物擬人演算法。實驗表明， 」對某些問題演算法有好的效果。
  11. By means of the echo auto - searching algorithm, the automatization of signal processing is realized. the filter algorithms are given to eliminate electric and pulse noise, the measuring reliability is improved greatly. furthermore, the accuracy of time difference measure is improved greatly by using the correlation algorithm and the wavelet algorithm

    提出的自動搜索回波演算法，實現了回波數據處理的自動化;給出的改進滾動去極數字濾波演算法和極值濾波演算法，消除了電噪聲和脈沖噪聲，提高了測量的穩定性;提出的插值相關流量測量演算法、小波包絡壓力測量演算法大大提高了測量的精度。
  12. First we introduce theory and merits of graphic wavelet transform, then mallat algorithm, multi - scale characteristic, quadratic b - alpine wavelet and the coefficients of this filters, and etc. later we calculate the gradient matrix based on the result of wavelet transform, thin the contour and get spatical information

    先介紹圖像小波分解方法的原理、 mallat快速演算法、多尺度特性、 3階b -樣條小波基函數的選取及其濾波器系數的推導等，然後根據小波變換結果計算梯度矢量矩陣，進行非極大值抑制和雙閾值化，提取目標輪廓。
  13. The number of the hidden layers of mul - tilayer perceptrons ( mlps ) is analyzed, and three - layer perceptrons neural network is adopted ; by analyzing the mechanism of the neural cells in hidden layer, a method for combining genetic algorithm and bp algorithm to optimize the design of the neural networks is presented, and it solves the defects of getting into infinitesimal locally and low convergence efficiently, it can also solve the problem that it can usually obtain nearly global optimization solution within shorter time through using genetic algorithm method lonely ; several examples validate that this algorithm can simplify the neural networks effectively, and it makes the neural networks solve the practical problem of fault diagnosis more effectively

    對多層感知器隱層數進行了分析，確定採用三層感知器神經網路;通過對隱層神經元作用機理的分析，引入了遺傳演算法與bp演算法相結合以優化設計神經網路的方法，有效地解決了bp演算法收斂速度慢和易陷入局部極小的弱點，還可以解決單獨利用遺傳演算法往往只能在短時間內尋找到接近全局最優的近優解的問題;通過實例驗證了這種演算法能夠有效地簡化神經網路，使神經網路更加有效地解決實際的故障診斷問題。
  14. Many technologies of electrically small antennas and wide band antennas are discussed in theory, simulation and experiment. and some novel electrically small or wide band antennas are proposed. the loaded monopole is analyzed in depth integrating the genetic algorithm ( ga ) with the method of moments ( mom ) in order to increase the gain and decrease the vswr of antennas used at hf / vhf band

    在本論文的研究過程中，通過合理利用各種現有的天線寬帶化和小型化的理論成果、有效的綜合各種技術措施，運用矩量法和遺傳優化演算法等數值方法，深入研究了加載單極子天線問題，旨在全面提高高頻/甚高頻頻段內的天線增益和降低電壓駐波比，以獲得較高增益的、基本滿足駐波要求的小型超寬帶天線。
  15. Based on the comparing analysis and character of clustering algorithm the simulated annealing （ sa ） algorithms was applied to the data clustering. simulated annealing （ sa ） algorithms are random search techniques based on physical annealing process, which can prevent the optimizing process into local optimization and get the global optimization

    演算法以優化過程的求解與物理退火過程的相似性為基礎，通過接受準則和對下降溫度的控制，能夠有效的克服優化過程陷入局部極小從而獲得全局最優解。
  16. Conventional clustering criteria - based algorithms is a kind of local search method by using iterative mountain climbing technique to find optimization solution, which has two severe defects - sensitive to initial data and easy as can get into local minimum

    傳統的基於聚類準則的聚類演算法本質上是一種局部搜索演算法，它們採用了一種迭代的爬山技術來尋找最優解，存在著對初始化敏感和容易陷入局部極小的致命缺點。
  17. Application of sumt and ga to solving constrained nonlinear programming problem

    序列無約束極小化技術和遺傳演算法在非線性規劃中的應用
  18. On the application of sumt and ga to solving constrained nonlinear programming problem

    序列無約束極小化技術和遺傳演算法在非線性規劃中的應用
  19. There have been many study about the unconstrained equivalent formulation. many algorithms and theories have been constituted about this kind of formulation. but to the constrained equivalent formulation, there is no corresponding algorithm

    無約束極小化變形的研究比較多，已經有了很多種演算法，理論上也相對完備，但對于約束極小化變形，據作者所知，至今還沒見過這方面的演算法。
  20. 7. for the purpose of analyzing its asymptotic convergence properties the evolution strategy procedures for real - valued function optimization are described. two convergence theorems, which show that under suitable conditions the evolution strategy asymptotically converges to a global minimum point with probability one, are given

    對于有界閉集上的連續函數，利用作者給出的一種簡潔的方法，證明了一類進化策略以概率為1收斂（幾乎處處收斂）于優化問題的全局極小點，為進化演算法的收斂性分析提供了一種新的模式。
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