convergence method 中文意思是什麼
convergence method
解釋
會聚法- 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）。
- method : n 1 方法，方式；順序。2 （思想、言談上的）條理，規律，秩序。3 【生物學】分類法。4 〈M 〉【戲劇】...
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By the polygonal approximation method, a global approximation solution is constructed for the initial - boundary value problem of nonconvex scalar conservation laws with two - side boundary effect, and its convergence to the global weak entropy solution of the corresponding problem is proved
摘要使用折線逼近法，對具有兩條邊界影響的非凸單個守恆律初邊值問題構造了整體近似解，並證明其收斂到初邊值問題的整體弱熵解。 -
The method proposed in this thesis do well in solving the problems of multi - damping - ratio - spectra simulation. it is convenient to obtain the pareto optimal solution set of the multi - object question by using implicit parallel genetic algorithms and the method can meet the practical needs for simulating ground motions coinciding with multi - damping - ratio - spectra in seismic design. the crossing rate and variance rate are important parameters of genetic algorithms which affect the rate of convergence, the adapting rate of cross and variation in this paper can auto - adapt and according to stand or fall of current sample, it assures the sample approach to the pareto optimal solution set in fast convergent speed
較好地解決多阻尼比反應譜擬合問題；本文方法通過一次運行就能獲得一組具有集系特性的地震動，在擬合多阻尼比反應譜的人造地震波集系的模擬方面有傳統方法所不能比擬的優勢，產生的人造波或人造波集系可滿足工程抗震設計需要；在遺傳演算法中，交叉概率和變異概率是影響收斂速度的重要參數，本文採用的改進自適應交叉概率和變異概率，可以根據當前樣本的好壞程度來自動地選擇適當的交叉概率和變異概率，以保證演算法始終以較好的速度向pareto最優解集逼近。 -
The global convergence of a new kind of dy - conjugate gradient method
型共軛梯度法的全局收斂性 -
Gathering fuzzy technique and model - identifying technique to processing research, fuzzy model - identifying technique, a intersecting science, has been come out, which has become hoto in this thesis, based on deeply researching the fuzzy unit - identifying and complete analysis on data of measuring well of the chandqing wushenqi district, the method of constructing self - adapting multi - dimension non - liner subjection degree function has been created without precedento based on the extraction of routine measuring well character parameters, and for adopting self - adapting method to carry through character compression, the model has been improved the performance and enhanced the convergence speed and sorted precision of the algorithm o the relation of measuring well information and the oiliness & gassiness of sandstones is fuzzy ? in the thesis, the law of max subjection degree has been studied and improved, and proved preferable effect in the practical application
論文在提取一些常規測井特徵參數的基礎上，採用自適應方法對各變量多項式進行優選，減少了特徵參數間的相關性，突出了類別間的差異性，從而優化了模式的質量，提高了分類的精度。測井信息和砂體的儲集性之間的關系是帶有模糊性的，論文對模糊「最大隸屬原則」進行了研究和改進，並在實際應用中取得了較好的效果。論文成功研製了「自適應」的演算法和軟體? ?即通過對正確回判率的比較，然後對參數進行調節的辦法，可將模式「訓練」到最佳狀態。 -
Table 2. 1. 3. further convergence property 3. 1 algoithm the convergence property of diagnal sparse quasi - newton method is proposed
另外，對hesse矩陣為稀疏的目標函數，該演算法也具有較快的收斂速度。 -
A new learning algorithm of the continue wavelet networks parameters is proposed, that is, hybrid parameters learning algorithm. the parameters of wavelet networks are divided into two parts, and different methods are used to training them. compare to the traditional parameters learning method, the new method proposed in this paper has the advantages of rapid convergence speed and high approximation capability
提出了連續小波網路的混和參數訓練方法，將小波網路參數分為小波系數和網路權值兩部分，對這兩部分參數分別採用不同的方法進行訓練，這一新的訓練方法相對于傳統的小波網路參數訓練方法來說具有收斂速度快，逼近精度高等優點。 -
The hybrid algorithm raises the convergence rate of the conjugate gradient method and solves the problem for which the convergence rate of the steepest descent method get slower when the isopleth of goal function is oblong
這種混合優化演算法結合了共扼梯度法和最速下降法產生搜索方向，既提高了共扼梯度演算法的收斂速度，又解決了目標函數的等值線是扁長橢球時，最速下降法下降緩慢的問題，具有收斂速度快、收斂范圍大、適應面廣等特點。 -
The preconditioned accelerate the convergence of 2ppj method
型方法收斂性的加速 -
The paper applyed principle analysis and numerical computation to compare the scheme of particle injection syphon and convergence - turn tube. the last method was adopted to conduct research because it could produce high concentrated particles stream and operated conveniently. 2
本文應用原理分析、數值計算等手段，對粒子加入、彎管和收斂?折管方案進行了比較，認為收斂?折管方案可以產生發動機在飛行過載中的凝相粒子聚集效應，且燒蝕參數控制方便。 -
In order to improve the efficiency of the mesh generation, we employ the transfinite interpolation method. in low speed flow ( m < 0. 05 ), the low mach will aggravate the difference between eigenvalues of the system and make the convergence sharply difficult. as for this, we use the preconditioning method to remove it
另外，我們求解的是極低馬赫數下的流場（ m 0 . 05 ） ，極低的馬赫數會導致可壓流動方程十分僵硬而難以收斂，對此，我們對n - s方程進行了矩陣預處理。 -
Approximation boundary element method and i ts convergence analysis
近似邊界元方法及其收斂性分析 -
A convergence acceleration technique, boundary element method ( bem ), spectrum of two - dimension solutions ( s2ds ) method are used separately in solving dyadic green function of the three domain. next, waveguide narrow - wall slots array ' s is introduced in this paper
對外部空間，與縫隙腔體區域一樣認為場量與z無關，對所有場量做z方向的fourier變換，得到譜域上的一系列去耦合的二維方程。 -
4. a 2 - d and 3 - d euler equations and n - s equations are solved using the cell - centered finite volume method and four - step runge - kutta scheme on the cartesian grids with standard convergence acceleration techniques such as local time stepping, enthalpy and implicit residual smoothing
使用jameson中心有限體積法和runge - kutta時間推進方法，求解了關於二維、三維復雜流場的euler 、 navier - stokes方程，採用了當地時間步長、隱式殘值光順等多種加速收斂方法。 -
Through ( multi - level ) bordered block partition of the power system topology matrix, a bbdf coefficient matrix which is suitable for above decomposition is formed. when the equation is solved with parallel iterative method, convergence acceleration is achieved through damping newton method
通過採用（多重）對角加邊的方法進行電力網路拓撲分割，以形成適合以上分解法求解的對角加邊形式的系數矩陣，并行求解后並對迭代過程進行阻尼牛頓法修正，以達到加速收斂的作用。 -
This paper has proposed a method controlling iteration number and stability of solution according to thought of integral convergence algorithm minimizing nonlinear equations
本文利用求非線性方程組極小化全局收斂法的思路，提出了控制迭代收斂次數、控制反演解穩定的方法。 -
A novel dynamic evolutionary clustering algorithm ( deca ) is proposed in this paper to overcome the shortcomings of fuzzy modeling method based on general clustering algorithms that fuzzy rule number should be determined beforehand. deca searches for the optimal cluster number by using the improved genetic techniques to optimize string lengths of chromosomes ; at the same time, the convergence of clustering center parameters is expedited with the help of fuzzy c - means ( fcm ) algorithm. moreover, by introducing memory function and vaccine inoculation mechanism of immune system, at the same time, deca can converge to the optimal solution rapidly and stably. the proper fuzzy rule number and exact premise parameters are obtained simultaneously when using this efficient deca to identify fuzzy models. the effectiveness of the proposed fuzzy modeling method based on deca is demonstrated by simulation examples, and the accurate non - linear fuzzy models can be obtained when the method is applied to the thermal processes
針對模糊聚類演算法不適應復雜環境的問題，提出了一種新的動態進化聚類演算法，克服了傳統模糊聚類建模演算法須事先確定規則數的缺陷.通過改進的遺傳策略來優化染色體長度，實現對聚類個數進行全局尋優;利用fcm演算法加快聚類中心參數的收斂;並引入免疫系統的記憶功能和疫苗接種機理，使演算法能快速穩定地收斂到最優解.利用這種高效的動態聚類演算法辨識模糊模型，可同時得到合適的模糊規則數和準確的前提參數，將其應用於控制過程可獲得高精度的非線性模糊模型 -
The method of sobel edge detection is used to get the initial position and orientation value of optimization in order to improve the convergence speed. the iteration numbers and feature abstraction effect are compared with the method in which the initial value is randomly created
演算法使用sobel邊緣檢測方法，給出優化初始位置和方向，以提高優化的收斂速度，針對提取特徵時的優化迭代次數和提取特徵的效果與隨機產生優化初始值的方法進行了比較。 -
Among hese method, one of the simplest is the deepest gradient descent algorithm, but it has one disadvantage that the solutions are oscillatory and slowly convergent. a friction term is ntroduced to avoid oscillatory solutions and raise convergence rate. the third major contribution of this dissertation is study on 3 - d diffuse object surface optical automatic measurement
其次，結合要處理的具體問題，介紹數值優化及幾種常用的無約束最優化計算方法，以最優梯度法為基礎，討論其演算法的優缺點，通過引進阻尼系數，改進了演算法的收斂速度，從而提高迭代精度。 -
This method allows an increase in the objective function value at some step, while retaining global convergence
此方法允許目標函數值在迭代過程中在某些步可以上升。而保持其全局收斂性。 -
On the basis of the classical valuation method of generalized functions, the set value of a generalized function has been defined by the equivalent value mode and the uniform convergence method
摘要在廣義函數的經典賦值方法的基礎上利用等價方式及一致收斂方法定義了一種廣義函數的集值。
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