迭代最優法 的英文怎麼說
中文拼音 [diědàizuìyōufǎ]
迭代最優法
英文
iterative optimizing technique- 迭 : Ⅰ動詞(輪流; 替換) alternate; change Ⅱ副詞1 (屢次) repeatedly; again and again 2 (及) in tim...
- 代 : Ⅰ動詞1 (代替) take the place of; be in place of 2 (代理) act on behalf of; acting Ⅱ名詞1 (歷...
- 最 : 副詞(表示某種屬性超過所有同類的人或事物) most; best; worst; first; very; least; above all; -est
- 法 : Ⅰ名詞1 (由國家制定或認可的行為規則的總稱) law 2 (方法; 方式) way; method; mode; means 3 (標...
- 最優 : optimal; optimum最優策略 optimal policy; optimal strategy; 最優設計 optimum design; 最優值 optima...
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To overcome the limitations of general fnns and bp algorithm, this thesis introduced a hybrid feed - forward neural network, which is composed of a linear model and a general multi - layer fnn, and proposed a new learning algorithm for the hybrid fnn
其次,針對bp網路存在的缺陷,結合前向神經網路和線性最小二乘法的優點,構造了一種基於混合結構的神經網路,提出了相應的非迭代的快速學習演算法。This algorithm easily escapes from local optimal solution, have high searching efficiency, simple structure, convenient use. aiming at iteration, optimization and matlab optimization toolbox having low precision and difficulty to choose initial vector on acquiring nonlinear equations ’ solutions, equations ’ solution problem is translated into genetic algorithm optimization problem. nonlinear equations ’ usual genetic
針對迭代法、最優法、 matlab最優化工具箱求解非線性方程組中存在求解精度不高及初始矢量難選等問題,將方程組求解問題轉化為遺傳演算法函數優化問題,建立了非線性方程組通用的遺傳演算法解法,並將其用於汽車滑行試驗數據處理中。As for single objective optimization algorithm, a fast iterative algorithm based on conjugate gradient algorithm is presented, which makes use of extent limit of iterative optimization step in conjugate gradient with the idea of least square
在標量優化圖像重建法中,作者以最小二乘為目標,利用共軛梯度法中迭代最優步長的區間性,提出了一種基於共軛梯度法的快速迭代演算法。In chapter two, under non - lipschitz condition, the existence and uniqueness of the solution of the second kind of bsde is researched, based on it, the stability of the solution is proved ; in chapter three, under non - lipschitz condition, the comparison theorem of the solution of the second kind of bsde is proved and using the monotone iterative technique, the existence of minimal and maximal solution is constructively proved ; in chapter four, on the base of above results, we get some results of the second kind of bsde which partly decouple with sde ( fbsde ), which include that the solution of the bsde is continuous in the initial value of sde and the application to optimal control and dynamic programming. at the end of this section, the character of the corresponding utility function has been discussed, e. g monotonicity, concavity and risk aversion ; in chapter 5, for the first land of bsde, using the monotone iterative technique, the existence of minimal and maximal solution is proved and other characters and applications to utility function are studied
首先,第二章在非lipschitz條件下,研究了第二類方程的解的存在唯一性問題,在此基礎上,又證明了解的穩定性;第三章在非lipschitz條件下,證明了第二類bsde解的比較定理,並在此基礎上,利用單調迭代的方法,構造性證明了最大、最小解的存在性;第四章在以上的一些理論基礎之上,得到了相應的與第二類倒向隨機微分方程耦合的正倒向隨機微分方程系統的一些結果,主要包括倒向隨機微分方程的解關于正向隨機微分方程的初值是具有連續性的,得到了最優控制和動態規劃的一些結果,在這一章的最後還討論了相應的效用函數的性質,如,效用函數的單調性、凹性以及風險規避性等;第五章,針對第一類倒向隨機微分方程,運用單調迭代方法,證明了最大和最小解的存在性,並研究了解的其它性質及在效用函數上的應用。And the repeated optimization method is a kind of climbing, so it ' s easy to convergent to local extermum. how to solve it is the problem that the paper will discuss
另外,由於迭代最優化方法是一種爬山法,所以難免會收斂到局部極值,因此如何解決該問題也是本文將討論。As for repeated optimization method, the most important things are the chose of right clustering rules and the similarity measurement between clusters
就迭代最優化方法而言,最重要的是選取適當的聚類準則和類間相似性度量。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。A multisensor convex linear statistic fusion modal for optimal interval estimation fusion is established. a gauss - seidel iteration computation method for searching for the fusion weights is suggested. in particular, we suggest convex combination minimum variance fusion that reduces huge computation of fusion and yield approximately optimal estimate performance generally, moreover, may achievers exactly optimal performance in some cases
建立了一種最優區間估計融合模型? ?多傳感器凸線性組合,並給出搜索最優權系數的gauess - seidel迭代演算法,另外,給出了一種近似的區間估計融合? ?凸線性組合的最小方差融合,它能減少大量的計算量。An optimizing arithmetic for calculating the best - fit sphere is also proposed, the result shows better accuracy is reached comparing to " three points method ", from 107. 8umrms to 25. 66umrms. during interferometric optics test with null lens, " nonlinear errors " of the testing coordinates will be introduced. a method based on ray - tracing, nonlinear fitting and coordinate transferring is proposed to eliminate these errors
在ccos控制模型及理論計算方面,提出了一種適用於高次離軸非球面最接近球面計算的優化演算法,經計算,某矩形離軸非球面最接近球面半徑的求解精度較傳統的「三點法」有了較大的提高,理論加工余量由原來的107 . 8umrms降低到25 . 66umrms ;提出一種基於磨頭與工件的相對位移量的控制模型,並且開發了阻尼卷積迭代演算法,引入「虛擬加工」的概念進行迭代求解和參數評價。In conjugate gradient optimization algorithm, the continuous and digital models of an imaging system are defined to explain image acquisition, the image registration algorithm and the conjugate gradient reconstruction algorithm are designed
在共軛梯度最優化迭代演算法中,對相機模型、圖像微位移和微旋轉角精確配準、共軛梯度重建等關鍵技術進行了研究。In the study, sd2000 spectrometer is applied to obtain radiation spectrum of flame within wavelength 480 - lloonm, from which flame temperature and monochromatic emissivity are derived by newton raphson non - linear method and levenberg - marquart modeling method. the flame monochromatic emissivity is translated in form of f ( / l ) and a ( a ) respectively
在該方法中,採用sd2000型光纖光譜儀測量火焰在可見光( 480 - 1100nm )波長范圍內的火焰的輻射光譜,結合newton - raphson非線性迭代演算法和levenberg - marquardt最優化演算法,得到火焰溫度和單色輻射率變化規律。Numerical examples are given to illustrate the effect of controlling lead time in inventory management
本文給出有效的迭代演算法求解最優解,並通過實例計算分析縮短提前期在庫存管理中的作用。In order to assure that the stress and strain state of structure is secure, the author analyses respectively the objective functions of the reasonable finished state and buckle - cable adjusted phase ; thus, the optimized model based on fga is framed. finally according to the example, the computation datum are compared with the iterative forward analysis method and the optimal control theory. the result shows that this method can be used conveniently and meet the construction and design precision
為了滿足大跨度鋼管混凝土拱橋施工的安全性與成橋預期的內力狀態和拱肋線形,本文結合工程實例,分別對合理成橋狀態和扣索索長調整的目標函數的確定進行了分析,將一組多變量、多約束的最小化問題無約束化,從而建立起適合於該問題的遺傳演算法優化模型,將其計算結果分別與迭代前進法和隨機最優控制理論進行了比較;結果表明,採用該方法編制的基於結構計算的遺傳優化程序操作靈活,能很好的滿足施工和設計要求。According to the properties of glass defect image, a image segmentation method of edge detection based on optimum threshold is presented in this paper
摘要根據玻璃缺陷的特點,提出一種採用迭代最優閾值與數學形態學相結合的方法對玻璃缺陷圖像進行分割。The multiscale model is not only capturing the several important ways in which a data analysis or signal processing problem can have multiscale characteristic, but also leading to an efficient and highly parallelizable algorithm for optimal estimation of stochastic processes
此模型的的建立不僅是獲取具有多尺度特徵的數據分析或信號處理問題的一種重要方式,同時,利用它還可以為最優估計隨機過程的狀態變量誘導出高度有效、并行迭代演算法。This paper researches and improves two important algorithms to reconstruct high resolution images, with reduced aliasing, from a sequences of undersampled rotated and shifted frames. the reconstructed image resolution is from two to four times higher than the undersampled frames
本文研究和改進了運動補償迭代演算法和共軛梯度最優化迭代演算法,從欠采樣圖像序列中復原出高解析度的圖像,使被重建圖像的解析度比欠采樣幀提高了2 ~ 4倍。Multisensor distributed data fusion has many practical applications, and it is a focus in technological fields. this paper deals with multisensor distributed statistic decision and multisensor distributed estimation fusion. we get some results : in multisensor distributed statistic decision, we consider multisensor distributed neyman - pearson decision with correlated observation data and suggest an efficient algorithm to search for optimum local compression rules for any fixed fusion rule
本文在多傳感器分散式統計判決和多傳感器分散式估計融合方面進行了較為深入的研究,主要取得的成果為:在多傳感器分散式統計判決理論方面,對在相關觀測下,固定融合律的多傳感器分散式二元neyman - pearson判決,給出了最優分站壓縮律的不動點類的必要條件和相應的離散迭代演算法,並討論了演算法的收斂性。In this arithmetic, the objective function is modified gradually by distinguishing the rigid zone and plastic zone before carry through more calculation, in order to obtain the optimal solution of the programs. the convergence of the algorithm is also shown in this paper
基於最優化理論及其求解方法,提出了一種求解塑性極限載荷的直接迭代演算法,通過逐步識別剛性區和塑性區,不斷修正目標函數,以逐步求得問題的最優解,論文證明了該優化演算法的收斂性。The global optimized static correction values are estimated on the basis of statistics of large quantities of data by making interactive iteration
它是通過對大量數據進行統計,用交互、迭代的方法求出全局最優解。Among these algorithms, psm is the most stable and the most accurate one. 4 ) some problems existing in the early multi - resolution dynamic images analysis are discussed, and our solution is provided, which results in a new multiscale dynamic images analysis method. in those early methods, the coarse images will be discarded after they are processed
當本文所提出的新的多尺度運動圖像分析方法形成之後,在mrf圖像分析過程中令人困擾的計算量很大的迭代最優化過程(即退火過程)被避免了,從而使我們的分析方法能夠更加精確和更加快速。分享友人