最優化演算法 的英文怎麼說

中文拼音 [zuìyōuhuàyǎnsuànfǎ]
最優化演算法 英文
algorithms for optimization
  • 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
  • 演 : 動詞1 （演變; 演化） develop; evolve 2 （發揮） deduce; elaborate 3 （依照程式練習或計算） drill;...
  • 算 : Ⅰ動詞1 （計算數目） calculate; reckon; compute; figure 2 （計算進去） include; count 3 （謀劃;計...
  • 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...
  1. 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。
  2. A study of loess collapsibility by combining least squares support vector machines with particle swarm optimization algorithm

    組合最小二乘支持向量機與粒子群優化演算法研究黃土濕陷性
  3. Response surface has been built based on bp neural network with relationship of maximum of spinning force variety, material parameters and power spinning process parameters established and optimum achieved by using particle swarm optimization algorithm hence optimization of tube power spinning process parameters

    摘要以bp神經網路為基礎構建響應曲面，建立材料參數、筒形件強力旋壓工藝參數等和旋壓力最大變化值之間的關系，並用粒子群優化演算法求解，獲得符合優化條件的最優解，從而實現筒形件強力旋壓工藝參數的優化。
  4. Bell system technical, 1970, 49 : 291 - 307. 10 wu f, huberman b a. finding communities in linear time : a physics approach. eur

    本質上， dm演算法是一種啟發式的貪心優化演算法，它採用局部搜索方法能逐步逼近地為預先定義的目標函數找到一個近似最優解。
  5. In the algorithm level, currently various training algorithms of neural networks, including gradient algorithms, intelligent learning algorithms and hybrid algorithms, are comparatively studied ; the optimization principle of bp algorithm for neural networks training is analyzed in detail, and the reasons for serious disadvantages of bp algorithms are found out, moreover, the optimization principle of two kinds of improved bp algorithms is described in a uniform theoretic framework ; and the global optimization algorithms of neural networks, mainly genetic algorithm are expounded in detail, it follows that a improved genetic algorithm is proposed ; finally the training performances of various algorithms are compared based on a simulation experiment on a benchmark problem of neural network learning, furthermore, a viewpoint that genetic algorithm is subject to " curse of dimension " is proposed

    在演算法層，本文對目前用於神經網路訓練的各種演算法，包括梯度演算法、智能學習演算法和混合學習演算法進行了比較研究；對用於神經網路訓練的bp演算法的優化原理進行了詳細的理論分析，找到了bp演算法存在嚴重缺陷的原因，並對其兩類改進演算法-啟發式演算法和二次梯度演算法的優化原理，在統一的框架之下進行了詳盡的理論描述；對神經網路全局優化演算法主要是遺傳演算法進行了詳細的闡述，並在此基礎上，設計了一種性能改進的遺傳演算法；最後基於神經網路學習的benchmark問題對各種演算法在網路訓練中的應用性能進行了模擬研究，並提出了遺傳演算法受困於「維數災難」的觀點。
  6. Finally, jinduicheng mo. company open - pit is quoted as an instance for building mine transportation vechile scheduling system model, and according to the model, adopt genetic algorithm to study the optimization of mine transportation vechile scheduling system. a rational project is given to this problem, the paper also analysized the optimial design of mine transortation vechile scheduling, the model offering in this paper, convergence of optimal algorithm and data bank management, and transportation project of minerals and disposals is optimized, which realize the decision of transportation project and data visibilization, and wich improves the science and information process of transportation department management

    最後，論文以金堆城鉬業公司露天礦為例建立礦山運輸車輛優化調度模型，結合所建立的礦山車輛優化調度模型，採用遺傳演算法對礦山運輸車輛系統進行優化研究，為其提供合理的體系方案。並對礦山車輛優化調度系統設計進行了詳細分析，提出的礦山車輛優化調度系統，集優化演算法與數據庫管理分析於一體，進行礦巖運輸方案的優化，實現調度方案決策的可視化、運行數據的可視化，促進運輸部門管理的科學化、信息化進程。
  7. The error criterion is derived from rotation vector concept directly. in the coning motion environment, a class of rotation vector optimal algorithms are derived and evaluated with the rule of making sure of the minimum coning error. 3

    從旋轉矢量的概念出發，推導了演算法的精度準則，在典型的高動態環境? ?錐運動作為輸入條件下，以使錐誤差最小為原則，推導了旋轉矢量各階子樣演算法及其優化演算法，並與傳統的四元數演算法進行了比較； 3
  8. Optimal power flow using particle swarm optimization and non - stationary multi - stage assignment penalty function

    基於粒子群優化演算法和動態調整罰函數的最優潮流計算
  9. In this method, the principal axes method is used to estimate the parameters of the transformation, then with the estimated pamameters as the initialization of powell optimization method and with all of the available information as the feature, a high accurate registration is achieved by calculating the minimum standard deviation between the registered images

    該方法首先採用主軸法對變換參數進行初步估計，之後採用powell最優化演算法，利用全圖像灰度信息來作為圖像的參考特徵，通過計算配準圖像之間差的平方和的極值來實現圖像配準，從而提高了配準精度。
  10. In contrast to conventional optimization algorithms whose iterates are computed and analyzed deterministically, randomized methods rely on stochastic processes and random number / vector generation as part of the algorithm and / or its analysis

    傳統的最優化演算法中迭代的計算和分析是確定的，與之相比，隨機方法依靠隨機過程和隨機數字/向量的生成作為演算法和（或）演算法分析的一部分。
  11. The studies are mainly connected with the parameter and characteristic of chaotic vibration, the application of chaotic maximum optimization arithmetic, and chaotic optimization neural network in engineering structure

    重點研究了工程結構中混沌振動特性、混沌最優化演算法在工程結構優化中的應用、以及混沌優化神經網路技術。主要內容如下： 1
  12. 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。
  13. He holds a phd in theoretical physics from the technical university of chemnitz, germany, where he investigated stochastic optimization algorithms on parallel computers

    他從德國chemnitz技術大學獲得理論物理博士學位，在大學里他研究了并行計算機上的隨即最優化演算法。
  14. This paper presents a bidding model of power market and resolves it by a new interior point nonlinear programming algorithm for optimal power flow problems ( opf ) based on the perturbed kkt conditions of the primal problem. at the same time, it discusses the implementation of a bidding system based on web

    本文基於原問題擾動karush - kuhn - tucker （ kkt ）條件的現代內點最優化演算法，完成了電力市場競價模型的建立和求解，並初步討論了一種基於web的競價交易系統之實現。
  15. This paper discusses inventory control problems in a two - echelon supply chain for the deterministic demand by taking account into a multi - criteria problem

    摘要介紹了需求確定的情況下兩級供應鏈庫存控制的一種交互協作的最優化演算法。
  16. Provides seven optimization algorithms, three of which are global

    提供七種最優化演算法，三種是全局優化
  17. A near - optimal optimization algorithm for link assignment in wireless ad - hoc networks

    無線自主網中的鏈路分配最優化演算法
  18. The methods which convergence order is greater than 2 are named as high - order methods. the improved method of tangent hyperbolas ( imth method ) is a popular method among the high - - order methods

    在科學計算及其應用領域中， improvedmethodoftangenthyperbolas方法（簡稱為imth方法）是常用的三階最優化演算法。
  19. Fourthly, based on excellent parameter of chaotic maximum optimization algorithms, the new chaotic optimization arithmetic is put forward, specifically several carrier chaotic optimization method. this method is applied in the optimization design of engineering structure

    在對混沌最優化演算法參數優選的基礎上，提出了一種新的混沌最優化演算法?多次載波混沌最優化方法，並將此演算法用於工程結構優化設計中。
  20. Having developed for half an century, the conventional optimization algorithms which are based on the operational research theory and some mathematical programming tools come into mature. such algorithms have been widely used in many fields due to their high efficiency and robustness. however, they usually require the optimized functions to be continuous even high order differentiable

    這些在運籌學（ operationalresearch ）和數學規劃工具（ mathematicalprogramming ）基礎上形成的最優化演算法，具有理論完備、演算法效率高、穩定性好等優點，因而在許多需要進行優化計算的場合被廣泛的使用。
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