convergence parameter 中文意思是什麼

convergence parameter 解釋
收斂參數
  • 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）。
  • parameter : n. 1. 【數學】參數，變數；參詞；參項。2. 【物理學】參量；（結晶體的）標軸。3. 〈廢語〉【天文學】通徑。vt. -ize 使參數化。
  1. It is proven that these modified dual algorithms still have the same convergence results as those of the conceptional dual algorithms in chapter 2 and chapter 3. secondly, a dual algorithm is constructed for general constrained nonlinear programming problems and the local convergence theorem is established accordingly. the condition number of modified lagrange function ' s hessian is estimated, which also depends on the penalty parameter

    證明這些修正的對偶演算法仍具有同前兩章的概念性對偶演算法相同的收斂性結果，我們還進一步構造了一般約束非線性規劃問題的對偶演算法，建立了相應的局部收斂理論，最後估計了修正lagrange函數的hesse陣的條件數，它同樣依賴于罰參數。
  2. In chapter 3, we give an equivalent form of semi - infinite programming, and a locally convergent ssle method is proposed for sip. we only need solve a linear system equations and a subproblem with a parameter per step, also a modified algorithm which saves cost of computations is given, at the end of the paper, we give a proof of the convergence for the algorithms

    第三章通過適當的變形，得到半無限規劃問題的一個等價形式，並給出一個局部收斂的序列線性方程組演算法，這個演算法在每一步，只需求解一個線性方程組和一個帶參數的非線性子問題，證明了演算法的收斂性，同時，給出了一個修正演算法，與前面演算法相比較，修正演算法節約一定的計算量，同樣具有較好的收斂性。
  3. The necessary and sufficient convergence condition and the optimum relaxation parameter of ussor iterative method

    迭代法收斂的充要條件和最佳鬆弛因子
  4. Then, which of the convergent plate elements are convergent uniformly with respect to the parameter we will present a general convergence theorem for c ? nonconforming plate elements and a general convergence theorem for non c ? nonconforming plate elements for the problem re - spectively

    我們將分別給出判別c ~ 0非協調板元和非c ~ 0非協調板元對這一問題收斂的一般判定定理，由此可判定已知的板元對該問題的收斂性。
  5. Systemic numerical tests are made first, to study the parameter sensitivity of cohesion and friction angle and other elastic parameters to the convergence in tunnel. some comprehensive parameter sensitivity laws have been draw thought these numerical tests. the method of emulating back analysis is illustrated secondly, in detail by tracing the excavation and supporting conditions by the special numerical modeling rested in final program

    主要研究成果： （ 1 ）建立使各個參數靈敏度值具有可比性的靈敏度計算公式，不僅得到了靈敏度分佈規律，而且還得到了各參數對位移的量化影響結果； （ 2 ）詳細闡述了巖土工程模擬反演分析思路與具體方法； （ 3 ）假定圍巖為理想彈塑性模型，在可量測出理論上認為不可測的塑性變形、實現彈塑性位移分離的前提下，提出了彈塑性問題的分步反分析法。
  6. The new method ameliorates the process of old iterative method and add a new iterative parameter : convergence factor, which can improve the quality of reconstruction image by changing the iterative process and adjusting convergence factor

    該演算法改進已有的迭代過程，加入了新的迭代參數：收斂因子，通過改變迭代進程和調整收斂因子來提高重建圖像的質量。
  7. 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。
  8. By applying the singular system of campact operator and the method of posteriori choosing determine the regular parameter, we can also prove the convergence of the regularized solution given [ 1 ]

    摘要本文利用緊運算元的奇異系統后驗選取正則參數，證明了文[ 1 ]中的改進的正則化解是收斂的。
  9. Normal bp algorithm can be used in many fields and resolved many practical problems, however, normal bp algorithm has many limitations such as it ' s easy to fall into the local minimum in the course of convergence, its " convergent speed is very slow, the method which set the structural parameter and the operational parameter has n ' t be widely accepted, and so on

    標準bp演算法應用甚廣，解決了許多的實際問題，但同時它也存在著諸如在收斂過程中容易陷入局部最小點、收斂速度很慢以及網路的結構參數（隱層數、隱層單元）和運算參數（步長、非線性函數的選擇）等都尚無公認的理論指導等問題。
  10. This kind of controller is easy to design and operate, and has improved convergence rates and less overshoot than pid controller, but has stable error. in order to improve the properties of the fuzzy controllers, fine - tune - rule fuzzy controller, fine - tuned parameter fuzzy controller and fuzzy - pi controller were designed respectively based on the simple fuzzy controller. then fuzzy logic inferential system is established by using toolbox of fuzzy logic in matlab7. 0. secondly, in simulink6. 0, through the instance of the template of s - function, the module of s - function for optimizing fuzzy control and corresponding control model are constructed, and the parameters of simulation are set

    這種控制器易於設計、實現方便，較傳統pid控制有更快的響應速度和更小的超調，但其存在靜態誤差;為了進一步提高模糊控制器的控制特性，在此基礎上分別設計了可調整控制規則模糊控制器、參數自整定模糊控制器和模糊- pid復合控制器;然後利用matlab7 . 0模糊邏輯工具箱圖形用戶界面建立模糊邏輯推理系統，在simulink6 . 0系統模擬設計平臺中通過實例化s函數模板創建旨在優化模糊控制的s函數功能模塊，並構建模糊控制系統框圖模型，設置系統模擬參數，最終對系統進行動態模擬。
  11. In c & c + + ga program, using the parameter num equal to population number will make ga compulate more efficiently. 5. converting nonlinear equations solution to ga optimum problem, and then the problem is discused in ga model, fitness, coding, operator & parameter, convergence critericm multi solutions 6 aspects

    首次在c與c + +的遺傳演算法程序中，提出了隨機數產生周期等於群體規模的參數取值方法，實例計算說明，演算法的計算效率能提高一倍左右。
  12. In my artice, positive scattering problem is solved by fdtd method and inverse scattering problem is sovled by genetic algorithm ( ga ) ga is a kind of searching method which simulates the normal evolution. in the solution of inverse problem convergence speed is significent and parameter setting has much effect on it

    在採用遺傳演算法求解逆散射的問題時，收斂速度是非常重要的。不同的參數設置會影響到它的收斂速度和結果。因此參數的設置在遺傳演算法中有很重要的作用。
  13. Premature convergence is still the prominent problem in genetic algorithms. some excellent individuals or genes are lost due to premature convergence, which causes local optimum. a parameter adaptive genetic algorithm based on the entropy estimating is advanced in this paper

    自適應遺傳演算法的控制參數可以根據個體的適應度大小進行自適應調整，體現了生物進化中「優勝劣汰」的思想，使其收斂速度較基本遺傳演算法有了很大提高。
  14. One is, based on answering the above open problem on a finite dimensional euclidean space by means of partially ordered theory, to research the existence of solutions, global error bounds of proximal solutions and sensitivity of parametric unique solutions and present a class of variable - parameter three - step iterative algorithms for generalized set - valued variational inclusion problems by using - resolvent operator of set - valued mapping. two is to consider the convexity, closedness and boundedness of the solution set of general set - valued variational inclusion problems and the sensitivity of the parametric solution set by means of graphical convergence theory. three is to discuss directly the existence of solutions by using analytical methods for set - valued mixed quasi - variational - like inequalities and suggest a class of direct variable - parameter three - step iterative algorithms for solving generalized set - valued variational inclusions

    研究分有三個方面：一是藉助于偏序理論在有限維歐氏空間中解決了上述公開問題，在此基礎上利用集值映射的-預解運算元，研究了廣義集值變分包含問題解的存在性、逼近解的全局誤差界、參數唯一解的靈敏性，並提出了一類變參數三步迭代演算法；二是藉助于圖收斂理論研究了一般集值變分包含問題解集的凸性、閉性和有界性以及參數解集的靈敏性；三是用分析的方法直接討論了集值混合擬類變分不等式問題解的存在性並提出了一類求解廣義集值變分包含問題的直接變參數三步迭代演算法。
  15. In training of back - propagation neural network, parameter adaptable method which can automatically adjust learning rate and inertia factor is employed in order to avoiding systemic error immersed in a local minimum and accelerating the network ' s convergence ; introduced the further optimization of the network ' s structure, it gives the research result of selection of the hidden layers, neurons, and the strategy of re - learning, compared the sums of the deviation square of this algorithm with conventional bp algorithm, as a result, the approach accuracy and the generalization ability of the network were extremely improved

    在對前饋神經網路的訓練中，使用參數自適應方法實現了學習率、慣性因子的自我調節，以避免系統誤差陷入局部最小，加快網路的收斂速度；提出了優化bp網路結構的實驗研究方法，並給出了有關隱含層數和節點數選擇以及再學習策略引進的研究結果。將該演算法同傳統bp演算法的預測偏差平方和進行比較，結果證實網路的逼近精度及泛化能力均得到了極大的提高和改善。
  16. Three improvements were proposed. that is : coding the chromosome with floating point numbers, selecting different optimal strategy according to the electric dimension of the target, utilizing subsection varying parameter genetic algorithm to avoid trapping in premature convergence. the optimization time was saved significantly after adopting these methods

    針對球面和半球面結構的雷達吸波材料優化設計時間長，提出三點改進方法：染色體採用浮點數編碼；依據優化目標的電尺寸採用不同的優化策略；優化過程中採用分段變參數的優化方法。
  17. The parameter can be adjusted adaptively by incorporating population entropy into the algorithm to provide a quantitative measure of population diversity of individuals in the population and new individuals can be introduced into the population by a big - mutation operation when the individuals in the population tend to be consistent. the case study shows that the algorithm can alleviate the problem of premature convergence as well as improve the efficiency and scope of searching

    本研究將信息嫡引入遺傳演算法以度量種群的多樣性;當判斷其發生過早收斂時，則通過「大變異」操作來引入新個體，從而有效緩解了成熟前收斂的發生，提高了演算法搜索的范圍與效率。
  18. Its characteristics include : operating to the coded parameter ; dealing with a series dots at the same time to protect local convergence ; possessing characteristics for parallel computation to increase calculating speed

    遺傳演算法的特點在於：對參數編碼操作；同時操作多點，在一定程度上可以防止局部收斂；具有并行計算的特點，可以提高計算速度。
  19. This algorithm improves confidence in se by estimating parameters and states at the same time. simulation results on test power systems which range in size from 4 to 118 buses, have shown the virtues as follows : getting unbiased estimation without detecting and identifying bad data in measurements ; solving state and parameter estimation for power system with good convergence and excellent robust property ; increasing the numbers of iterations a little bit with the test systems expanded ; estimating many transformer taps simultaneously and remaining the main state estimation ; keeping the estimated relative error within + 0. 1 % and processing efficiently equality constraints and ill condition with polynomial complexity

    對ieee ? 4 118節點系統和廣西主網進行的模擬結果表明： l1范數估計具有不良數據拒絕特性，當量測量中存在不良數據時，該演算法在不經檢測和辨識不良數據情況下仍是無偏估計，具有良好收斂性，所需迭代次數隨著問題規模擴大而增長極小；能夠同時估計多個變壓器抽頭，並保持狀態估計主體；在滿足可觀測性條件下，估計的相對誤差保證在0 . 1以內；能夠有效處理等式約束和病態條件，並具有多項式時間性。
  20. In view of the operation characters of pmsm for ev application, a novel efficiency - optimization control strategy is presented to meet the demand of rapidity after analyzing the defect of efficiency - optimization control strategy of pmsm system with minimum input power in ordinary application. on the basis of ordinary efficiency - optimization control strategy with minimum input power, the new strategy adopts fuzzy logic control method and torque compensation strategy to accelerate convergence in process of optimizing controlled parameter

    針對電動汽車的運行特點，在分析了一般應用的pmsm系統輸入功率最小效率優化策略不足的基礎上，為滿足電動汽車用pmsm系統效率優化的快速性要求，提出新的效率優化控制策略，其核心是在輸入功率最小效率優化方法基礎上應用模糊邏輯控制並採用轉矩補償策略加速系統控制變量尋優過程的收斂速度。
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