收斂性的改善 的英文怎麼說
中文拼音 [shōuliǎnxìngdegǎishàn]
收斂性的改善
英文
improvement of convergence- 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; ...
- 性 : Ⅰ名詞1 (性格) nature; character; disposition 2 (性能; 性質) property; quality 3 (性別) sex ...
- 的 : 4次方是 The fourth power of 2 is direction
- 改 : Ⅰ動詞1 (改變) change; transform 2 (修改) revise; alter; modify 3 (改正) rectify; correct 4 ...
- 善 : Ⅰ形容詞1 (善良; 慈善) good 2 (良好) satisfactory; good 3 (友好; 和好) kind ; friendly 4 (...
- 收斂 : 1 (減弱或消失) weaken or disappear 2 (約束言行) restrain oneself 3 [數學] convergence; constr...
- 改善 : improve; ameliorate; perfect; better; mend; modify; improvement; perfection; melioration
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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Another advantage, contrast to using convolutional codes or turbo codes, is its low complexity while maintain high ber performance because the check equations are used to terminate the both iterations. we develop the theoretical error free feedback bound for bpcm - id and predict the threshold for decder convergence using the extrinsic information ransfer chart ( exit )
利用非正則ldpc具有不同度的信息節點概率密度演化的差異,對高階星座中具有較高級別的子通道提供額外的保護,可使迭代反饋判決時,星座子集擁有最大的無錯反饋歐氏距離調和均值,從而改善系統的迭代收斂特性。Results show that the aspects are obviously improved in the requires of functional qualities, computational accuracy, convengence and computational speed of algorithms. by this, the new technique of variational data assimilation maybe has wilder application in practice
所得結論表明,與傳統的四維變分同化方法相比,本文提出的方法在函數性態要求、計算精度、演算法收斂性和計算速度方面有了明顯改善,使得變分同化技術有可能更廣泛地應用於實際業務。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。It has been improved, and specially proposed : firstly, we has increased run speed and ensure the diversity of population is with constructing non - dominated set by throwing off the dominated solutions, expressing the interior relation of individuals each other by the crowding distance, and constructing new population. secondly, we have further improved its convergence performance by clustering in precondition of ensuring a better distribution of individuals
該文以nsga -為基準,對演算法進行了改進,具體提出了:用排除法構造非支配集、用聚集距離刻畫個體間的內部關系以及構造新群體,來提高運行速度和保持群體的多樣性;用聚類演算法在保持原有特性的前提下,進一步改善收斂性能等。To some eigenproblems, the corresponding ritz vectors always converge very slowly even sometimes do n ' t converge when ritz values have converged. so in order to improve the convergence of ritz vectors, firstly, refining - strategy is applied to the davidson method in this paper. the process restarts with the refined ritz vectors as the initial vectors, and then we get the refined block davidson method
為了改善ritz向量的收斂性,本文首先在塊davidson方法的執行過程中,運用精化策略,求出相應的精化向量並將其作為初始向量進行重新開始過程,由此得到了精化塊davidson方法,並對精化塊davidson方法進行了收斂性分析;其次,本文將精化塊davidson方法結合收縮技術,提出了收縮的精化塊davidson方法。Based on the discussions of the conventional and recent methods of short term load forecasting such as time series, multiple regression approaches and artificial intelligence technologies, this paper presents a hybrid short term forecasting model which combines the artificial neural network ( ann ) and genetic algorithm ( ga ). in order to improve the convergence speed and precision of the back - propagation ( bp ), a new improved algorithm - the adapted learning algorithm based on quasi - newton method is given
本文首先分析比較了電力系統短期負荷預測的傳統方法時間序列法和回歸方法以及最近的專家系統和神經網路技術的優點和不足,然後針對人工神經網路bp演算法的不足對其進行了改進,採用了基於擬牛頓的自適應演算法,它提高了網路學習效率,具有較快的收斂速度和較高的精度。接著提出了改進的遺傳演算法來改善神經網路的局部收斂性。Aim at the dtc ' s blemish mentioned above and the direction of dtc technique development, the dissertation put great emphasis on the work as follows, with an eye to exalt dtc system function : ( 1 ) a new speed - flux observer of an induction motor is proposed to enhance the accuracy of flux observing, which is an adaptive closed - loop flux observer and different from the traditions. a new adaptive speed - observation - way is deduced out according to the popov ' s stability theories ; ( 2 ) to improve the performance of dtc at low speed operation, we have to exalt the accuracy of the stator flux estimation and a new way of bp neural network based on extended pidbp algorithm is given to estimate and tune the stator resistance of an induction motor to increase the accuracy of the stator flux estimation ; ( 3 ) digital signal processor is adopted to realize digital control. an device of direct torque control system is designed for experiment using tms320lf2407 chip produced by ti company ; ( 4 ) bring up a distributed direct torque control system based on sercos bus, sercos stand for serial real time communication system agreement which is most in keeping with synchronous with moderate motor control ; ( 5 ) the basic design frame of the hardware and software of the whole control system is given here and some concrete problem in the experiments is described here in detail
針對上面提到的直接轉矩控制的缺陷和未來直接轉矩控制技術發展方向,本論文重點做了以下幾個方面的工作,目的在於提高dtc系統的綜合性能: ( 1 )提出一種新型的速度磁鏈觀測器,新型的速度磁鏈觀測器採用自適應閉環磁鏈觀測器代替傳統的積分器從而提高磁鏈觀測的精度,並且根據popov超穩定性理論推導出轉速的新型自適應收斂律; ( 2 )改善系統的低速運行性能,主要從提高低速時對定子磁鏈的估計精度入手,提出了一種提高定子磁鏈觀測精度的新思路? ?利用基於bp網路增廣pidbp學習演算法來實時在線地修正定子電阻參數; ( 3 )採用數字信號處理器dsp實現系統全數字化硬體控制,結合ti公司生產的tms320lf2407晶元,設計了直接轉矩控制系統的實驗裝置; ( 4 )提出了基於sercos總線網路化分散式的直接轉矩控制系統, sercos ( serialrealtimecommunicationsystem )是目前最適合同步和協調控制的串列實時通信協議; ( 5 )基本勾勒出整個控制系統的硬體和軟體設計基本框架,詳細描述一些實驗中的具體的細節問題。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。The results of optimization on mathematical functions showed that the shortcoming of sga can be overcome, and the relying on the initialization of parameters can be effectively avoided. the quality of the solution and the convergent speed also can be improved
函數優化算例表明,模糊遺傳演算法( fga )能有效地消除遺傳演算法對參數初值的依賴性,提高尋優質量,改善收斂性。An updated - latin hypercube sampling and calculated data based on wave motion theories are adapted for efficient generation of the patterns of training the neural network. the levenberg - marquardt algorithms was applied to modify the weight matrices of neural network
採用修正的latin超立方采樣技術和波動理論的計算數據來形成網路的輸入和輸出數據,用lm演算法訓練網路,改善了網路訓練的收斂性能。The algorithms for training weights update and constructing the target vectors are discussed. use the penalty term to improve the astringency of network. and study how choice the appropriate initial weights
著重研究了根據輸入和輸出量合理選擇網路結構,訓練權值的更新演算法,目標向量的合理構造,帶懲罰項的bp網路,改善了網路的收斂性。The simulation results show that the proposed detections benefit greatly from the pso and have significant performance improvements over conventional detector ( cd ) and previous multiuser detectors based on genetic algorithm ( ga ) or evolution programming ( ep ) in terms of bit - error - rate and convergence rate
模擬結果表明,這種多用戶檢測器充分利用了粒子群優化演算法的優良特性,與傳統的碼分多址接收機、基於進化演算法的多用戶檢測器和基於遺傳演算法的多用戶檢測器比較,在誤碼率和收斂速度等方面都有顯著的改善。In order to further reduce the computation complexity and improve the convergence behavior, many sorts of subband filter algorithms are depicted in chapter 3. finally, associated with nlms algorithm, the suband nlms ( snlms ) algorithm is proposed
為了進一步降低聲回波抵消演算法的計算復雜性和改善其收斂特性,在第三章中,討論了各種子帶濾波演算法,比如dft子帶和fir子帶等。A plane - wave expansion method based on the effective medium theory is firstly introduced, and the new method has a better convergence than that of the pwm. as a new method for calculating the band structure of a photonic crystal, a finite difference scheme is also introduced to the governing differential equation based on the effective medium theory
首先提出了基於等效介質理論的平面波方法,顯著地改善了平面波演算法的收斂性質;同時提出一種新的計算光子晶體能帶的有限本徵差分演算法,與已有的平面波展開法相比,新方法保留了本徵值演算法的獨特優點,同時又克服了平面波展開法的慢收斂性。Besides, it is not fit with the precise adjustment and is difficult to conform the place. a new adaptive genetic algorithm with bp algorithm to optimize weight is backed up. the algorithm which combines the merits of the global convergence of genetic algorithm with fast local researching of bp algorithm not only intensifies the gradual convergence and evolution ability but also advance the speed of convergence, precision of training and generalization
針對傳統遺傳演算法的搜索過程帶有一定的盲目性,其收斂特性不穩定且收斂速度緩慢,特別是在系統規模較大時,優化效果的明顯改善往往需要相當長的時間,而且不適合候選解的精調,難以確定解的確切位置,提出一種新型自適應性遺傳演算法,並在此基礎上,用bp演算法優化前向神經網路權值,綜合了兩種演算法的優點,即遺傳演算法的全局收斂性和bp演算法局部搜索的快速性,強化了遺傳演算法的漸進收斂和進化能力,全面改善了演算法的收斂性,提高了收斂速度及訓練精度,也擴展了泛化能力。This algorithm makes use of these characteristics and is improved according to the practical characteristic of communication system. not only the early converge problem of genetic algorithm is avoid, but also the optimize solution in the colony is reserved. meanwhile mountain climbing performance of simulated annealing algorithm is used to improve the performance of genetic algorithm
該演算法利用遺傳方法適于多變量數值求解、有較好的兼容性及模擬退火演算法有很好的加速性,結合通信系統的實際特點進行改進,不但避免了遺傳演算法的早熟收斂問題,同時使群體中的最優解得到了保留,並利用模擬退火演算法的爬山性能改善了遺傳演算法的性能。In order to improve the convergence properties, unscented kalman filter ( ukf ) algorithm is derived under stellar - inertial modes
為了改善收斂性能,提出了在星敏感器與光纖陀螺聯合定姿模式下的unscented卡爾曼濾波演算法。Abstract : a new preconditioner is proposed in the preconditioned conjugate gradient method ( pcg ) for solving the problem arising from image restoration. the condition number of the new preconditioned system is proved to be much less than the original one. numerical results show that the new method is better than the classical pcg
文摘:在圖像恢復實際模型的預條件共軛梯度法中,提出了一種新的預處理運算元.將新的預處理運算元應用於原來的系統,證明了其條件數得到大大的改善.實驗結果表明,新的預處理運算元具有很大優越性,比傳統的預處理運算元具有更快的收斂速度After nn has been introduced to principal component analysis ( pca ), the algorithm of principal component calculation is simplified and has higher precision and finer convergent property. in fdd
神經網路理論引入到主元分析技術中,基於神經網路的主元分析演算法在降低了主元提取演算法的復雜性,改善了運算精度和收斂性。分享友人