迭代法優化 的英文怎麼說
中文拼音 [diědàifǎyōuhuà]
迭代法優化
英文
majorization of iterative method-
Block relaxation algorithms in statistics. information systems and data analysis, bock h h, lenski w, richter m m eds.,
為快速求解這一優化問題,本文給出了一種基於凸性邊界條件判別的塊鬆弛迭代演算法。Iterative approximation algorithm of hessian matrix in structural optimization
結構優化中的海森矩陣的近似迭代方法Third, based on the non - linearity feature of the system, the lmf algorithm is given by using the non - linearity least square optimal method. the simulating results show that the accuracy of the algorithm approaches the cramer - rao - bound. finally, the radial based function network localization algorithm is present for bistatic sonar
為了克服lmf演算法在進行迭代時依賴于初始值的缺點,根據人工神經網路在求解非線性問題方面的特點,提出了用徑向基函數網路方法來進行雙基地聲吶定位的優化演算法。Consequently, on the basis of non - winkler foundation model, a finite - element method that utilizes foundation flexibility matrix into iterative calculation is proposed in this paper originated from the item " the optimal design theory and research of pile capping beam " sponsored by natural science fund of hunan province, which the continuity of soil mass can be accounted for under various boundary conditions, different loadings and irregular beam characters
本文結合湖南省自然科學基金項目「樁基承臺梁優化設計理論與方法研究」 ,針對非文克爾地基(半空間、線性變形層或單向壓縮層地基模型等)上的樁基承臺梁,提出一種利用地基柔度矩陣來進行迭代的有限單元法,可充分考慮梁下土體的連續性,並對基礎與土體脫開、承臺梁截面變化、梁體邊界條件復雜、上部荷載類型變化以及梁下基樁承載力差異等情況進行分析計算。The three kinds of construction graph can be applied to optimization problems with different characteristics, and the two kinds of layered construction graph are more suitable for complex multi - stage dynamic decision problems ( cmsddp ) than scg. the clcg defines smaller solution building blocks and is able to perform better in large - scale cmsddps than the blcg. 2. the construction graph of aco algorithms need statically describe the whole solution space ( or discrete solution spa
( 2 )蟻群優化演算法的解構造圖一般要靜態地描述整個解空間(或者是離散化了的解空間) ,對于大規劃動態決策問題,不僅存在描述解空間的困難,而且讓蟻群在迭代過程中始終在整個解空間中進行搜索,搜索性能會很低。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。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。The results show the improved aca can be used to solve the continued problem, and the formula whose parameter is optimized by the improved aca can simulate the primary data better than those whose parameter are optimized by other optimizing methods except the immune evolutionary algorithm ( iea ), and the improved aca can get almost the same result with less optimization scale and shorter optimization time than iea
結果表明,改進的螞蟻演算法可以成功用於暴雨強度公式的參數優化,並且在實驗採用的各種優化演算法優化參數得到的暴雨強度公式擬合原始數據的效果比較中只有免疫進化演算法在優化過程中迭代次數和迭代規模都要大得多的情況下才和改進的螞蟻演算法差不多,而比其它的優化方法都要好。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。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。An algorithm of solving nonlinear coupled equations is given which transforms the solving problem to unconstrained optimization problem and the coupled equations are solved by a genetic algorithm and newton iteration
同時還給出了一種求解非線性方程組的演算法,即將非線性方程組的求解問題轉化為帶約束的優化問題,應用遺傳演算法和牛頓迭代法求解。The example in the paper shows the efficiency of shift frequency together with inverse iteration to perform the dynamic topology optimization with frequency constrain
文中的的算例表明移頻與逆迭代法結合后對頻率約束的動力拓撲優化問題非常有效。The effective heat - transfer temperature difference ( t _ i ) of every effect of multi - effect evaporation subsystem and the preheat temperature rise ( t _ ( p, j ) ) of every level of multi - level preheat subsystem of the design model were distributed by equal heating area, equal heat - transfer temperature difference, and free proration methods. the simulation of design has been conducted by matrix method combined with iterative method. the free proration method transformed the decision variables from t _ i and t _ ( p, j ) with complex restriction into _ i 、 _ p, jwith the value range of 0 1, and provided a simple and convenient method for optimum design
操作型模型分別以t _ 0 、 t _ k 、處理量f _ 0 、出料濃度x _ ( az )等不同控制變量為未知變量並採用矩陣法結合迭代法進行操作模擬計算;在操作模擬計算的基礎上,建立了復雜多效蒸發系統操作優化模型,該模型以濃縮成本最小為優化目標,以t _ k和f _ 0為決策變量,採用遺傳演算法結合矩陣法求解。In the past, to obtain the optimal tension solution, the problem was regarded as a linear programming one, and solved by the iteration which has disadvantages such as lack of uniqueness of termination rules, slow calculation and multiple optimal solutions
以往學者將繩拉力的優化歸結為一個線性規劃問題並採用迭代法進行求解,而迭代法不僅計算速度慢,且無確定的優化解。In the past, to obtain the optimal tension solution, the problem was regarded as a linear programming one, and solved by the iteration which has the disadvantages such as lack of uniqueness of termination rules, slow calculation and multiple optimal solutions
以往學者將繩拉力的優化歸結為一個線性規劃問題並採用迭代法進行求解,而迭代法不僅計算速度慢,且無確定的優化解。In some high degree exploration areas, the initial macro interval velocity model is firstly established by using the logging - constrained method, and then, the double - iteration method in multi - domains is applied on velocity model updating to meet the accuracy of prestack imaging
在地震勘探程度較高的地區,首先採用測井約束法建立初始宏觀層速度模型,然後利用多域雙重迭代法進行優化更新,以達到滿足疊前成像精度要求的目的。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。The dependence of eo effect on different cell conditions is investigated. the optimized parameters of the a - htn mode lc cell are achieved basing on extended jones matrix method and difference iterative method. the a - htn mode lc cell which is presented in this paper exhibits symmetric viewing angle and simple manufacturing process
利用差分迭代法和擴展瓊斯矩陣法研究了在不同條件下的a - htn型液晶盒的電光特性,並在計算的基礎上獲得了優化后的a - htn型液晶盒參數。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