梯度搜索 的英文怎麼說

中文拼音 [tīdùsōusuǒ]
梯度搜索 英文
gradient search
  • 梯 : Ⅰ名詞1 （梯子; 樓梯） ladder; stairs; steps; staircase 2 （姓氏） a surname Ⅱ形容詞（形狀像樓梯的...
  • 度 : 度動詞[書面語] （推測; 估計） surmise; estimate
  • 搜 : 動詞1. （尋找） collect; gather2. （搜查） search; ransack
  • 索 : Ⅰ名詞1 （大繩子; 大鏈子） a large rope 2 （姓氏） a surname Ⅱ動詞1 （搜尋; 尋找） search 2 （要; ...
  • 搜索 : 1 （仔細尋找） search for; ferret about; hunt for; scout around 2 [電子學] hunting; scan; [控] in...
  1. On supermemory gradient method with inexact line searches

    非精確搜索下的超記憶梯度法
  2. 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。
  3. A new class of memory gradient methods under strong wolfe line search

    線性搜索下的記憶梯度法
  4. One is the bss based on kernel density estimation ( kde ) and genetic algorithm ( ga ), the other is the blind deconvolution based on high order cross cumulants and ga. without nlf, the performance of separation in both algorithms is independent with the kurtosis of the sources

    兩種演算法的實現無需引入非線性函數，因此都與源信號的峭度性質無關;另外，選取全局搜索的遺傳演算法進行尋優，避免了梯度法搜索的局部性，使得演算法均能收斂到問題的全局最優解。
  5. A coupled exercise algorithm of forward neural network combined with gradient search and chaotic optimization search b ased on rules and its application

    前饋網路的混沌梯度搜索耦合學習演算法及應用
  6. It has been deduced that the search direction remains the same but that the step length decreases in optimizing the improved cost function with the conjugate gradient algorithm from the gradient of the cost function that the fir filter apporaches the contrary point spread function ( psf ) more, and that the estimated image is closer to the original one

    從代價函數的梯度入手推導出共軛梯度演算法，其搜索方向保持不變而搜索步長變小，使濾波系數更加退近於點擴展函數逆運算元，從而使估計圖像與原始圖像更加接近。
  7. Recently years, there is a new optimization method named genetic algorithms ( ga ) which is based on the numbers of genus groups. this method is a kind of random searching method which simulated natural selection and evolution. compared with traditional optimization method, genetic algorithms has two notable characters. one character is latent parallel and the other is seaching in the whole area. and genetic algorithms has some advantage which traditional method do n ' t have, for example, in genetic algorithms we did n ' t need the calculation of grade

    遺傳演算法[ geneticalgorithms ，簡稱ga ]是近些年來出現的一種模仿自然選擇與進化的基於種群數目的隨機搜索演算法，是優化領域的一個新成員。與常規優化演算法相比，遺傳演算法具有隱含并行性和全局搜索特性這兩大顯著特徵，並具有一些常規優化演算法所無法擁有的優點，如不需梯度運算等。
  8. Optimal periodic control with the lowest operational cost by limiting total substrate discharge mass was studied. through adding new state variable and using supplement functions, the problem with restriction conditions was converted into nonrestriction problem. in addition, the dynamic searching method of optimal step coefficient was developed to modify the conventional gradient method, consequently the calculation problem of the multivariable optimal periodic control was able to be resolved better. it was found that the operational costs of optimal control under various initial states are distinctly different. a new concept of optimal control under optimal initial state was presented. it is pointed out emphatically that to the treatment system without optimal control condition, the suboptimal control with extensive practical value can be realized according to the results of optima control

    著重研究了在限制有機物排放總量時，使其運行費用最低的最優周期控制問題.通過增加新的狀態變量和用補償函數法，將本課題的有約束條件問題化為無約束條件問題，並提出了最優步長參數的動態搜索法來修改傳統的梯度法，從而較完善地解決了多變量最優周期控制的計算問題.研究中還發現了不同初始條件下最優控制所需要的運行費用也大不相同，進而提出了最優初始狀態下最優周期控制的新概念，這對保證出水質量的同時進一步降低污水處理成本來說具有更重要的意義.本文還強調指出：對于尚不具備實現最優控制條件的處理系統，可根據最優控制的研究結果實現具有廣泛實用價值的準最優控制
  9. Powell algorithm which does not compute gradients and brent algorithm were used to search the optimal rotation and translation parameters, while multi - resolution searching strategy leads to a fast image registration

    在尋找最優的旋轉和平移參數時，採用了無需計算梯度的powell直接搜索演算法和brent演算法，並通過多分辨的方式加快圖象配準速度。
  10. In the course of modeling, we present multi - step generalized gradient method and multi - stage curve fitting technique, prove convergence of multi - step generalized gradient method by using differential equation stable theory, analyze the error of multi - stage curve fitting technique by using inner space, creat knowledge base of water network system by using the maximum subordinate principle of and near - select principle of pattern recognition. at last we make the optimal running scheme of water network system based on heuristic search technique of artificial intelligence and global feedback immediate coordination method of large scale system theory

    在建立系統模型的過程中，提出了多步廣義梯度法和多層曲線擬合的建模方法，並用微分方程穩定性理論證明了多步廣度梯度法收斂性，用內積空間的有關知識對多層曲線擬合進行誤差分析;應用模糊數學中的最大隸屬度原則和模糊識別中的擇近原則和人工智慧中狀態空間表示法建立注水系統的知識庫;用人工智慧中的啟發式搜索技術和大系統理論中的具有全局反饋的直接協調法制定注水系統的優化運行方案。
  11. Convergence of new memory gradient method with armijo search

    搜索下的記憶梯度法及其收斂性
  12. Here we consider the choice of the parameter as the norm of the gratitude of the function. we prove under the local error bound condition that the levenberg - marquardt method with this parameter converges quadraticlly to a solution of the system of the equations. and we also present two globally convergent levenberg - marquardt algorithms using line search techniques and trust region approach respectively

    我們提出選取迭代參數為當前迭代點處函數梯度的模，在局部誤差界條件下， levenberg - marquardt方法依然具有二階收斂性，並考慮了線搜索和信賴域技巧的levenberg - marquardt方法，分析了其全局收斂性。
  13. In chapter four, problem about parameters of gpc on - line tuning in frame of satisfactory control is researched, and a satisfactory model for multi - parameters on - line tuning is defined, and proposed a formula based on grade conception and one - dimension searching method. it ' s shown that the system ' s performance can be improved by this approach

    對多參數調整優化問題給出了滿意優化模型，並且對由此形成的多變量尋優問題引入了梯度的概念和一維搜索的方法給出了該多參數尋優問題求解迭代公式的杜十模糊btai與模糊約柬的浦意優化控制向量形式。
  14. In chapter 3, by minimizing a quadratic model restricting next search direction to a subset of span { - g _ ( k ), d _ ( k - 1 ) }, we propose other formula of parameter ~ ( * ) k convergences of the new method and its hybrid formula are proved under monotone line search. their numerical results show that they are efficient

    在第三章中，通過最小化一個限制下次搜索方向在span { - g _ k ， d _ （ k - 1 ） }子集上的二次模型，我們提出了_ k ~ *取新形式或其雜交形式的共軛梯度法是有效的。
  15. On the basis of the probability density function of the disparity gradient, the mutual coordinate constraint of the corresponding points of the two adjoing points in the continous edge of the left image was educed, then the search area of the matching point in the right image was limited

    由視差梯度的分佈密度函數，導出了左圖像連續邊緣上相鄰兩點在右圖像中的對應點的坐標間的相互約束關系，從而限定了右圖像中匹配點的搜索范圍。
  16. A global convergence property of the con

    線搜索的一種共軛梯度法的全局收斂性
  17. A class of conjugate gradient method under new line search

    一類在新的線搜索下的共軛梯度法
  18. In order to apply these models to solve optimization problems, we design a parameter to control the networks dynamics. as the parameter is gradually reduced, a reverse bifurcation process results. the process starts with an unstable phase for searching global minima, followed by a stable, convergent phase

    為了利用這個機制，我們設計了一個控制參數，使得網路首先對狀態空間作暫時的搜索，然後由這個參數控制混沌動態逐漸消失並轉入類似於hopfield網路的梯度搜索，最終獲得系統的全局最優解。
  19. The real coded genetic algorithm is also proposed to search for the optimum solution, which can overcome the drawback of traditional gradient search technique that it is likely to tend to fall into the local minimum

    還提出了利用實數編碼的遺傳演算法對代價函數進行最優化搜索，以克服傳統梯度搜索方法容易陷入局部收斂的缺點。
  20. A lot of classical lpfs are designed for the filtering of acceleration signal, then the direction of filters " optimization is put forward in terms of the performance analysis of the filters and the filtering results. two adaptive filtering algorithms based on gratitude search are also discussed

    設計了多種對加速度信號進行濾波的經典數字低通濾波器，通過對濾波器的性能分析和濾波結果比較，總結了濾波器的優化方向；討論了基於梯度搜索的兩種自適應濾波演算法。
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