收斂值 的英文怎麼說
中文拼音 [shōuliǎnzhí]
收斂值
英文
convergency value-
A posteriori error estimation based on stress super - convergence recovery technique for generalized eigenvalue problems
基於應力超收斂恢復技術的廣義特徵值問題后驗誤差估計3. developed simply and practical fluid network algorithm for large - scale of pipe networks, such as air - gas system and powder manufacture system. iterative computation used in this algorithm is not only astringing quickly and numerical calculating steadily but also cater the required ratio of precision and guarantee the real - time and any performance simulation of fluid network
3 、本文對風煙系統和制粉系統等大型管網，建立了簡單實用的流體網路模型演算法，此法在迭代計算中，不僅可以快速收斂和數值計算穩定，而且滿足一定的模擬精度，較好的保證了流體網路的全工況實時模擬。Both theoretical proof and numerical experiments indicate that this algorithm is convergent and effective for solving large - scale semidefinite programming. in the following section, we work over the bisection problems
數值實驗與理論分析均表明該演算法適用於求解大規模問題，且具有良好的收斂性；其次，研究了電路二等分問題。The new algorithm bases on bisection and secant iteration, which is different cuppen ' s method and newton iteration. the results of theoretical analysis and numerical testing show that convergent rant of our algorithm is obviously faster that of the classical algorithm
該演算法以割線法迭代為基礎，明顯不同與傳統的newton迭代法，理論和數值實驗表明改進的演算法的收斂性比經典演算法好Furthermore, we made a great deal of numerical experiments and the numerical results suggest that the new 9 parameters triangular element is more effective than robust element, and the new 12 parameters rectangular element is more effective than the 12 parameters one in [ 5 ], acm, and the non - complete biquadratic rectangular element
0 ）的收斂性，並進行了大量數值實驗，結果表明：新的9參三角形元比robust非協調元，新的12參矩形元已有的12參矩形元， acm元，不完全雙二次矩形元數值效果都要好Rates in the complete moment convergence of bootstrap means
再抽樣均值的矩完全收斂速度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。Convergence criteria for vector valued continued fractions based on samelson inverse
逆的向量值連分式的收斂準則Uniform convergency in the series of complex interal - valued function and complex fuzzy - valued function
復區間值函數與復模糊值函數級數的一致收斂性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。According to the variation, features of the integrand, the values of peaks and troughs are taken out and formed a slowly convergent series, and the repeated averaging scheme is performed to calculate the limit rapidly and accurately
根據被積函數的變化特點，將波峰和波谷值抽取出來組成慢收斂序列，利用重復平均法快速而準確地求出其極限值。People put forward radial basis function networks considering the conventional bp algorithm problems of slow convergence speed and easily getting into local dinky value
對于傳統bp演算法存在的收斂速度慢和易陷入局部極小值問題，人們提出了徑向基函數網路。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。A note on moment convergences for b - valued martingale random variables
值同分佈鞅隨機變元序列矩收斂的注記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。Compared with straight ray tracing, inversion of bending ray tracing is better when data of test are accurate. on the other hand, natural weight is introduced and numerical simulations and experiments of wlm on inversion of velocity and attenuation are also made, which show that wlm, with resistance of noises and convergence of iteration, may get good re - construction images
本文引入了物理意義明確的自然權，對基於自然權的加權阻尼最小二乘反演演算法（ wlm ）在速度反演、衰減反演中進行了數值模擬和試驗研究，結果表明wlm均能獲得良好的重建圖像，迭代收斂，抗噪能力強。Immune clone strategy is introduced into c - means algorithm, which can effectively tackle those problems of nonstability, slow convergence and nonideal clustering that exist in ids with the traditional c - means. the experimental results reveal that the system can detect variety of unknown abnormal intrusions, and demonstrate that our combined clustering algorithm has good performance
實驗結果證明該上述兩種演算法有效地克服了傳統c -均值聚類演算法在解決入侵檢測問題中的穩定性差、收斂性不好和聚類效果不理想等問題，並能在一定程度上檢測到未知的異常入侵行為。If one consigers the fact that the firstderivative of the function may be difficult to compute analytically the new procedure will become an attractive alternative and it has quartic convergence
這種混和方法對于解決導數求值比較困難的問題是一個良好的選擇，而且它具有四階的收斂性。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。分享友人