過度收斂 的英文怎麼說

中文拼音 [guòdùshōuliǎn]
過度收斂 英文
overconvergence
  • 過 : 過Ⅰ動詞[口語] （超越） go beyond the limit; undue; excessiveⅡ名詞（姓氏） a surname
  • 度 : 度動詞[書面語] （推測; 估計） surmise; estimate
  • 收 : Ⅰ動詞1 （把攤開的或分散的事物聚集、合攏） put away; take in 2 （收取） collect 3 （收割） harvest...
  • 斂 : Ⅰ動詞1 （收起; 收住） hold back; keep back 2 （約束） restrain 3 （收集; 徵收） gather; collect; ...
  • 過度 : excessive; over; undue; ana-; hyper-
  • 收斂 : 1 （減弱或消失） weaken or disappear 2 （約束言行） restrain oneself 3 [數學] convergence; constr...
  1. Agglomerative effectiveness : the effect on regional economical inequality because of industrial agglomeration. in order to show the effects of industry on regional inequality, the model of panel data is applied to analyze the relationship between industrialization and economy growth., which is helpful to estimate whether the tendency of growth is convergence and the structural effectiveness. the time series model is used to analyze the effect of industrial agglomeration on regional inequality, where gini coefficient is taken as the index of industrial agglomeration

    為了更清楚地把握工業在地區差距上的效應，本文用面板數據模型分析工業化程度和經濟增長之間的相關關系，從而判斷區域經濟發展趨勢是否收斂，工業在「結構效應」方面的影響;計算表示工業集聚程度的基尼系數，通過時間序列模型分析工業集聚對地區經濟差距的「集聚效應」影響。
  2. The two - dimensional henon chaotic nonlinear map is effectively controlled by the proposed approach. secondly, because of the distinguished advantages, such as rapid convergency and strong approachability, the rbf networks is trained as chaotic controller by ogy scheme, then successful of controlling the henon chaotic map

    其次，利用一種學習過程收斂速度快、擬合能力強的rbf神經網路，以ogy法為依據，訓練網路成為混沌控制器，仍以henon映射作為混沌控制對象，對其混沌行為實施了成功控制。
  3. The cause is that depending strength of government only to hit lawless proprietor and safeguard consumer ' s leigitimate rights and interests is limited, because the proprietor can constringe the action of self due to the government strike it strongly in the short - term, but government can not be persisted over a long period of time because of the restriction of resources such as funds etc. in another aspect, if encouraging consumer to safeguard the leigitimate rights and interests of self, the probability that proprietor ' s tort occurs could reduce generally, moreover it is lasting

    本文首先從靜態的角度來分析消費者權益受到損害的原因。通過分析發現，單純地依靠政府的力量來打擊不法經營者、維護消費者合法權益的作用是有限的，短期中經營者會因為政府加大打擊力度而收斂自己的行為，但政府由於受經費等資源的限制，不可能長期堅持下去。從另一個角度，如果鼓勵消費者維護自身的合法權益，則經營者侵權行為發生的概率會降低，而且具有持久性。
  4. The numerical simulations demonstrate the convergency within a wide region of this method to out - perform the conventional regularization gauss - newton method

    通過與傳統的正則化高斯牛頓法相比較，顯示了小波多尺度法是一個大范圍收斂、能夠有效節省計算量的方法，數值模擬的結果也表明了方法的有效性。
  5. 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。
  6. As far as the discussion about the structures is concerned, to some extent, it may be said to be an application to the backlund transformation : fix a solution qn to the system ( l. 3 ), construct a group of solutions qn different from qn through the backlund transformation, and then prove that qn is convergent to qn. in the section 4, it is vital for us to find out the fixed solution n to the equation ( 3. 1 ) in the theorem3. 2, which is completed in the lemma4. 2 and theorem4. 3

    第四節對方程（ 1 . 3 ）的解的性態的討論，在一定程度上也可說是對定理3 . 2的一個應用：給定方程的一個解q _ n ，然後通過貝克朗變換構造了一系列不同於q _ n的解q _ n ，之後證明了q _ n收斂于q _ n 。
  7. Disigning coolant channel on the firebox of liquid rocket engine to loxodrome ( equal - angle helix ) groove can improve firebox coolant capability greatly. because the width dimension of loxodrome groove is narrow and the depth is deep, some machining methods are incapable, such as end - milling or electrochemistry. according to the peculiarities, a cnc disk - cutter - milling method which is composed of five motion axes with four simultaneously interpolated ones is researched. because most firebox generatrix is composed of complex curves, it is very difficult to get cnc cutting program with manual means. in order to deal with the problem, the loxodrome mathematics model is studied, and an auto - programming software system is developed. the software system can generate cnc cutting program of loxodrome on many kinds of turned surface. the constriction - distension segment of firebox is the most representative workpiece. the sharp changing of its generatrix slope makes loxodrome milling difficult. with the theory analyzing and practice cutting experiment, some applied techniques, which include milling mode and direction, choosing cutter diameter and cutting start point setting, are developed. adopting the technology above, tens regular workpiece have been manufacturing. the two - year manufacture practice has confirmed the validity and feasibility of developed loxodrome coolant channel milling method. the developed technology is also worth to be referenced to other similar workpiece

    將液體火箭發動機燃燒室的冷卻通道設計為斜航線（等傾角螺旋線）槽形，可以大幅度改善燃燒室的冷卻性能.斜航線冷卻槽的槽寬尺寸較小而槽深尺寸較大，所以無法使用棒銑刀銑削、電化學等加工方式.針對這些特點，提出了五軸控制、四軸聯動的數控片銑刀銑削加工方法.由於燃燒室外表面的母線輪廓復雜，手工編制數控加工程序難度大.為了解決數控加工程序的編制問題，研究了斜航線的數學模型，開發了自動編程軟體系統.使用該系統，可以生成多種母線輪廓回轉體外表面上的斜航線數控加工程序.燃燒室收斂-擴張段的母線斜率變化大，加工難度大，是斜航線冷卻通道加工的最典型工件.經過理論分析和實際切削實驗，研究了針對該類型工件的片銑刀直徑選擇、銑削方式和方向、刀具調整和起刀點的設置等多項實際的加工方案.採用上述的一系列技術，已經成功地加工了數十個合格工件.經過兩年多的實際生產過程應用，驗證了所開發的斜航線冷卻通道加工方法的正確性和可行性.這些加工技術的研製成功，對其他相似類型零件的加工亦具有參考意義
  8. Different algorithms were compared in the numerical simulation and model experiment of concrete velocity inversion the results showed that, compared with the least - square solutions and the damped least - square solutions, the damped and natural weighted least - square solutions reflected the inner defections of the tested object more reliably and exactly due to the usage of correct priori information, which benefited the suppression of noises and made the iterations of inverse stable and convergent

    結果表明，相對于最小二乘法和阻尼最小二乘法，基於自然權的加權阻尼最小二乘演算法，由於利用了正確的先驗信息，不但使反演過程收斂，而且具有數值穩定、抗噪能力強的優點，其成像結果能真實有效地反映對象內部缺陷，因此更適用於混凝土的超聲波速度反演。
  9. This paper proposed a new genetic algorithm called quasi - genetic algorithm ( qga ) to improve the efficiency of search and avoid precocity

    本文從提高演算法搜索效率和避免過早收斂的角度，提出了一種新型的遺傳演算法? ?類遺傳演算法（ qga ， quasigeneticalgorithm ） 。
  10. This article puts forward a solution named divide - assemble by deducing the size of bp neural network to overcome entering the local best point, the dividing process is that a big bp neural network is divided into several small bp neural networks, every small bp neural network can study alone, after all small bp neural networks finish their study, we can assemble all these small bp neural networks into the quondam big bp neural networks ; on the basis of divide - assemble solution, this article discusses the preprocessing of input species and how to deduce the size of bp neural network further to make it easy to overcome entering the local best point ; for the study of every small bp neural network, this article adopts a solution named gdr - ga algorithm, which includes two algorithms. gdr ? a algorithm makes the merits of the two algorithms makeup each other to increase searching speed. finally, this article discusses the processing of atm band - width distribution dynamically

    本文從bp網的結構出發，以減小bp神經網路的規模為手段來克服陷入局部極小點，提出了bp神經網路的拆分組裝方法，即將一個大的bp網有機地拆分為幾個小的子bp網，每個子網的權值單獨訓練，訓練好以後，再將每個子網的單元和權值有機地組裝成原先的bp網，從理論和實驗上證明了該方法在解決局部極小值這一問題時是有效的；在拆分組裝方法基礎上，本文詳細闡述了輸入樣本的預處理過程，更進一步地減小了bp網路的規模，使子網的學習更加容易了；對于子網的學習，本文採用了最速梯度? ?遺傳混合演算法（即gdr ? ? ga演算法） ，使gdr演算法和ga演算法的優點互為補充，提高了收斂速度；最後本文闡述了用以上方法進行atm帶寬動態分配的過程。
  11. In this dissertation, we firstly prove that any dirichlet problem is indeed equal to a voltages problem of networks. we give five solutions to dirichlet problem in two dimensions ; among these five solutions, we prove that the iteration solution and the solution of relaxations are exponential convergence, then we estimate their respective convergence rates ; secondly, we discuss random walks on general networks, prove that there is an one to one correspondence between networks and reversible ergodic markov chains ; thirdly, we give probabilistic interpretation of voltages for general networks : when a unit voltage is applied between a and b, making va = 1 and vb = 0, the voltage vx at any point x represents the probability that a walker starting from x will return to a before reaching b ; furthermore, we study the relationship between effective resistance and escape probability : starting at a, the probability that the walk reaches b before returning to a is the ratio of the effective conductance and the total conductance

    本文證明了任何邊值的dirichlet問題都可轉化為求解電路電壓的問題：給出了計算平面格點上dirichlet問題的5種方法：證明了迭代法和松馳法都是指數收斂的，並分別給出收斂速度的估計；討論了一般電路上的隨機徘徊，驗證了電路與可逆的遍歷markov鏈是一一對應的；給出了電路電壓的概率解釋：當把1伏電壓加於a ， b兩端，使得v _ a = 1 ， v _ b = 0時，則x點的電壓v _ x表示對應的markov鏈中，從x出發，到達b之前到達a的概率；進一步地，給出了逃離概率與有效電阻之間的關系：從a出發，在到達b之前到達a的概率為有效傳導率與通過a的總傳導率之比。
  12. The property shows that the maximal solution is well - conditioned. two new iteration methods for finding the maximal solution are proposed. of these two methods, one is a linearly convergent iteration without matrix inversion, and one is related to newton s method and quadratically convergent

    這2種方法，一種是線性收斂的，其優點是迭代過程不需要求矩陣的逆另一種是二次收斂的，數值試驗的結果表明該方法在計算速度和精度方面都明顯地優于現有的其他幾種迭代方法。
  13. In solving the helmholtz equation in the acoustical waveguides with a curved bottom, slow convergence may occurs when the linear local orthogonal transformation is adopted. in this paper, a class of nonlinear local orthogonal transformations ( nlot ) is proposed. it is an approach to improve the slow convergence mentioned above

    本文嘗試通過在深度方向選取非線性局部正交變換，將曲底求解區域化為平坦求解區域，然後求解helmholtz方程的辦法，來改善用線性（深度方向）局部正交變換時，步進求解時會出現的局部收斂慢的問題。
  14. 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
  15. Finally, for the multi - wavelength backward pumping fra problems, which are very hard to cope with, we proposed multi - dimension parallel shooting method. the simulation results demonstrate that this method is very useful in solving the raman coupled equations, which are representative of the highly nonlinear problems. the shooting can be converged in short time ( the shooting deviation can be less than 10 - 8 after 6 shooting when there are 8 pumping wavelengths )

    最後，對于最難求解的多波長後向泵浦fra問題，本文提出了多維并行打靶思想， matlab下數值模擬證明，該多維并行打靶法非常適合求解拉曼耦合方程這類高度非線性的問題，打靶過程收斂速度較快（八波長泵浦時只需打靶6次就可以使打靶偏差小於10 - 8 ） 。
  16. In this dissertation, several simple and effective approaches are presented to construct high performance elements for linear and nonlinear analysis of plate and shell structures. the main contributions of this dissertation are as follows : 1. the stabilization matrix of the generalized conforming element gt9, the membrane part of the generalized conforming flat shell element gst18, is derived

    2 .推導了單元gst18用於彈塑性分析的有限元增量方程，通過用戶子程序接入有限元軟體abaqus ，全面的比較了gst18單元和abaqus單元庫中的三角形平板殼元stri3在彈塑性分析中的表現，包括計算精度、收斂性、對網格方向的敏感性、以及計算效率等，可以看到gst18擁有更高的性能。
  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. The problem to improving the rate of convergence and the accuracy of tracking of ilc for deterministic linear systems is considered, in the meanwhile, the effects of the plant characteristics, various types of disturbances, errors in initial conditions and the " slowly " varying desired trajectories on the convergence and performance of ilc for uncertain linear and nonlinear systems are also investigated

    針對確定的線性系統，主要研究能夠提高演算法的收斂速度和跟蹤精度的迭代學習控制技術；針對不確定的線性和非線性系統，主要考慮系統的特性、各種干擾、初始狀態偏移和不確定的未建模動態以及緩慢變化的期望軌跡對迭代學習控制過程收斂性和跟蹤性能的影響。
  19. On the above, to overcome the pre - maturity and low speed of search in the late phase of multicast routing algorithm based on genetic algorithm, the author gives the multi - population parallel annealing genetic multicast routing algorithm to solve the bandwidth, delay, delay jitter and packet loss constrained least - cost multicast routing problem, which combines the

    在此基礎上，將多種群并行技術和退火技術相結合，以克服現有基於遺傳演算法的組播路由演算法過早收斂和後期搜索速度較慢的缺陷，且使用樹狀編碼方法，提出求解帶寬、時延、時延抖動和分組丟失率約束的代價最小組播樹的多種群并行退火遺傳組播路由演算法。
  20. Through studying the simulation results and compared with the other algorithms, the big mutation hybrid algorithm improves convergence accuracy and convergence probability and reduce convergence generation, therefore it is worth further researching

    通過模擬研究和與其他方法的比較，該大變異單純形混合遺傳演算法在收斂精度、收斂代數、收斂率方面都有所提高，具有一定的研究價值。
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