數值搜索 的英文怎麼說

中文拼音 [shǔzhísōusuǒ]
數值搜索 英文
numerical search
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 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; ...
  • 數值 : numerical value; numerial number; figure; magnitude; value數值表 numerical tabular; 數值天氣預報 ...
  • 搜索 : 1 （仔細尋找） search for; ferret about; hunt for; scout around 2 [電子學] hunting; scan; [控] in...
  1. The procedure functions in the compare between partial image of dynamic collection and corresponding image of the airscape. in chapter 5, basing on the analysis of correlative theory of digital image, we introduce the improved fasted - down algorithm and simulative anneal algorithm, which applies to nn calculation, an d bring forward the unique and effective means, correlative original value evaluation. basing on the combination of correlative arithmetic, a stable, high - speed and exact correlative arithmetic is formed, which makes it possible to apply computer vision detection of single - needle quilting in industrial production

    本文展開研究並取得一定成效：構建了基於pci總線的微機實時圖像採集系統；在採集的布料總圖（鳥瞰圖）的基礎上，通過數字圖像的數字濾波、圖像增強、邊緣檢測等處理，提取布料圖像的邊緣，對輪廓的矢量化的象素點進行搜索，得到相應的圖案矢量圖，從而確定絎縫的加工軌跡，生成加工指令；在進給加工過程中，主計算機對動態局部圖像與總圖（鳥瞰圖）的對應部分進行圖像相關的匹配計算，應用數字圖像理論，結合神經網路計算的改進最速下降法和模擬退火演算法，提出獨特而有效的相關迭代初始值賦值方法，形成穩定、高速和準確的相關運算，實現單針絎縫視覺測量和自動控制。
  2. In course of auto - focusing, the paper takes the sum of the square of gray difference as focal distance evaluation function to decided that image is in focus or not quickly and put forward an effective auto - focus searching way based on threshold value and curve fitting. these improve speed and precision of auto - focusing

    在自動聚焦過程中，論文採用了圖象的灰度差分的絕對值之和的平方作為焦距評價函數，解決了是否正確聚焦的快速判斷問題；採用了一種行之有效的基於閾值和曲線擬合的自動聚焦搜索方式，使聚焦速度和精度都得到了很大的提高。
  3. 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。
  4. By whitening the covariance matrix of flat ambiguity, correlation between ambiguity components, the number of local extrema of cost function is reduced. the search program getting into precocity is avoided by suitable encoding and genetic operation

    通過白化處理模糊度，減少模糊度搜索中指標函數的局部極值點，採用適當的編碼和遺傳操作使得在種群個體較少的情況下避免搜索陷入早熟。
  5. The visualization objects include the power flow animation, each customer ' s use rate of transmission line, the power supplying paths. a novel method is developed using power flow tracing method for finding all the directed paths between two designed nodes in the directed graph with loops

    鑒于目前還沒有高效的供電路徑搜索的數值方法，發展了一種新的基於潮流跟蹤的供電路徑搜索新方法，該方法可以通過簡單的運算來獲得帶環路網路指定兩節點間的所有供電路徑。
  6. With applying dsst algorithm, mobile agent can solve the problem of selecting router. synthesizing advantages of centralized search engine and distributed search engine, through it that system obtains the best way that agents mobile does. after statistics analysis, the author gets the mathematic pattern that mobil agent clones right times

    利用idl語言定義了agent在多種平臺上移動的介面，設計了一個符合maf規范的插件，實現agent在異種平臺之間的移動；利用動態最小生成樹演算法解決移動agent的路由選擇問題，綜合集中式搜索和分散式搜索的特點，動態尋找出一條agent移動的最佳路線；通過統計分析得到移動agent克隆的數學模型，通過計算可以獲得agent克隆個數的最佳值。
  7. Z - tranformation augmented fasf algorithm proposed in the dissertation can reduce the search space of integer ambiguity effectively, improve the effiency and real - time processing ability of integer ambiguity resolution ; it is essential to analyse the reliability of integer ambiguity after it was fixed, the ratio test algorithm proposed in the dissertation can reduce the time to fix new integer ambiguity after wrong fixes are detected ; to reduce further the number of epochs required for ambiguity resolution, that the baseline length constraint information which acts as observables is used to do kalman filtering to speed up ambiguity resolution is proposed

    本文提出的z變換增強fasf演算法能有效的減小模糊值搜索空間，提高整周模糊值解算的速度和實時性；整周模糊值確定后，需要對整周模糊值的可靠性進行分析，本文提出的比率檢測演算法能有效的減少整周模糊值錯誤確定后整周模糊值二次解算所需要的時間；為了進一步減少整周模糊值解算所需的歷元數目，本文提出把基線長度先驗信息作為觀測量進行卡爾曼濾波輔助整周模糊值求解。
  8. Based on natural selection, it executes three same and simple genetic operators : selection, crossover and mutation. under the leading of fitness value, it makes an efficient searching in complex spaces until acquiring the best result

    它基於自然選擇的原理，通過循環執行相同的、簡單的選擇、雜交和變異三種遺傳操作，並在適應度函數值的引導下對復雜的解空間進行有效地搜索，直到獲得最優的解。
  9. It is applicable to various structural distribution networks. while resolving the " large area restoration ", the genetic algorithm execute three same and simple genetic operators : selection, crossing and mutating. it make a self - adaptable and probability overall searching under the leading of fitness value in the whole searching scale until acquiring the best result

    在求解網路故障后重構問題時，互動式模糊遺傳演算法通過循環執行相同的、極其簡單的選擇、雜交和變異三種遺傳操作，並在適應度函數值的引導下在搜索空間進行自適應概率性全局搜索，直至獲得全局最優解。
  10. In this text, we first do some research on the genetic algorithm about clustering, discuss about the way of coding and the construction of fitness function, analyze the influence that different genetic manipulation do to the effect of cluster algorithm. then analyze and research on the way that select the initial value in the k - means algorithm, we propose a mix clustering algorithm to improve the k - means algorithm by using genetic algorithm. first we use k - learning genetic algorithm to identify the number of the clusters, then use the clustering result of the genetic clustering algorithm as the initial cluster center of k - means clustering. these two steps are finished based on small database which equably sampling from the whole database, now we have known the number of the clusters and initial cluster center, finally we use k - means algorithm to finish the clustering on the whole database. because genetic algorithm search for the best solution by simulating the process of evolution, the most distinct trait of the algorithm is connotative parallelism and the ability to take advantage of the global information, so the algorithm take on strong steadiness, avoid getting into the local

    本文首先對聚類分析的遺傳演算法進行了研究，討論了聚類問題的編碼方式和適應度函數的構造方案與計算方法，分析了不同遺傳操作對聚類演算法的性能和聚類效果的影響意義。然後對k - means演算法中初值的選取方法進行了分析和研究，提出了一種基於遺傳演算法的k - means聚類改進（混合聚類演算法） ，在基於均勻采樣的小樣本集上用k值學習遺傳演算法確定聚類數k ，用遺傳聚類演算法的聚類結果作為k - means聚類的初始聚類中心，最後在已知初始聚類數和初始聚類中心的情況下用k - means演算法對完整數據集進行聚類。由於遺傳演算法是一種通過模擬自然進化過程搜索最優解的方法，其顯著特點是隱含并行性和對全局信息的有效利用的能力，所以新的改進演算法具有較強的穩健性，可避免陷入局部最優，大大提高聚類效果。
  11. A method of fuzzy optimization design based on genetic algorithm is presented as a new method of parameter optimization design for dc double closed loop speed adjusting system. the method covers three steps. firstly, speed overshoot rate and settling time are chosen as performance indice according to the demand of engineering. these indice are normalized by using fuzzy membership function and then weighted to form objective function of optimization model of the system. secondly, the dynamic response curve of the system with corresponding parameters and peoformance indice are obtained by computerized numerical calculation and simulation. finally, parameters of engineering design are expanded as searching space ; and parameters of speed regulator and current regulator are taken as genes in chromosome. these genes in searching space are optimized to get best solution by way of genetic algorithm. as shown by experimental results, the parameters designed by this method are capable of significantly improving performance indice of the system, which proves that it is a practical and effective method

    提出一種基於遺傳演算法的直流雙閉環調速系統參數優化設計方法.根據工程技術的要求，選用速度超調量和過渡時間作為參數優化性能指標.將該指標用模糊隸屬度函數歸一化，再加權平均形成系統優化模型的目標函數.採用計算機數值計算方法，通過模擬獲得系統對應參數的動態響應曲線及其性能指標.最後以工程設計的參數為搜索范圍，以速度調節器和電流調節器的參數為染色體中的基因，通過遺傳演算法在搜索范圍中優化這些基因，獲得優化解.實驗結果表明，所設計的參數能使系統性能指標有顯著提高
  12. Macroscale inversion analysis of measured displacements in tunnel, slope and dam is studied detailedly according to inverse formulation method and direct formulation method. aimed at inverse problem for identifying original geostress parameters and stru - ture modulus of rock, linear hypothesis for shear stress field of slope is proposed. structural model of transversely isotropic medium is constructed

    針對逆源（初始地應力）和逆介質（巖層結構模量）的識別問題，提出了地層剪應力場的線性假定，構造了橫觀各向同性體的結構性計算模型，應用了逆定式化有限元反演方法，快速地搜索到了被識別參數的最優值。
  13. The model is build up by using the theory of fuzzy synthesized evaluation, the theory of binary chart matching, and data searching results

    應用模糊綜合評價理論、二分圖匹配原理和最大數值搜索法等理論建立擇優錄用的模型。
  14. The paper ’ s main works are as follow : ( 1 ) several methods of getting pitch period are researched in details. according to the real - time demand for the systems, the methods for pitch searching are simplified as follow : after searching the peak value point every third point within pitch range, search the peak value point every point near the current peak value point

    （ 1 ）研究了基音周期的求取方法，並根據系統的實時要求，將逐點搜索基音周期的方法簡化為粗細法，即在基音周期范圍內隔點搜索相關函數最大峰值點，然後在此時得到的最大峰值點附近繼續搜索，將最後得到的峰值點作為基音周期值。
  15. Finally, we convert this optimal problem to a nonlinear parameter optimization problem by collocation method. these studies examine the collocation method in case of equally or non - equally spaced division points, and in case of different numbers of nodes

    本文採用直接搜索法和節點配置，將連續動態最優控制問題轉換為靜態離散的數值優化問題，並對狀態和控制變量的約束進行轉化。
  16. 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
  17. To pick up the convergence speed of traditional genetic algorithm, a modified genetic algorithm is presented, which is based on subsection integer coding, combining stable - state selection strategy with inequality individual and scaling, adaptive recombination according to gene sufficiency, self - adaptive variable step and multi - gene mutation

    將兩幅圖象重疊區域的歸一化差圖象作為搜索空間，定義一個與圖象高相等維數的向量作為染色體，染色體的基因表示每一行圖象中的最優拼接點，採用常用的最小值搜索適應度函數作為視差圖像拼縫搜索的適應度函數。
  18. Given multiple restrictions of workspace, the shape and volume of workspace are gained through method of boundary numerical search

    在分析了影響並聯機器人工作空間的約束前提下，通過邊界數值搜索的方法，得到了工作空間的形狀及其大小。
  19. Firstly, a simple and practical representing method of the tooth edge tangential vector is applied to replace the traditional differential formula, the simple solving technique of edge contact problem makes the geometric edge contact analysis of the complex curve surface realize. secondly, using numerical searching and mathematical programming method solves the contact directions and loaded contact problem. finally, whole numerical simulation method is provided for loaded tooth contact analysis of high contact ratio spiral bevel gears

    首先以一種簡單實用的輪齒邊緣切矢量的數學表示方法取代了經典的微分表達式，大大簡化了幾何邊緣接觸的求解，使復雜曲面的幾何邊緣接觸分析得以實現；其次又採用數值搜索與數學規劃法求解了邊緣接觸的主方向和承載接觸問題，為高重合度弧齒錐齒輪承載嚙合全過程的數值模擬提供了完整的方法。
  20. This thesis suggests a process considered minimizes the population size as similar individuals occur in the fitter members of the population, which helps reduce the execution times for ga by removing the redundancy associated with the saturation effect found in the later generation. this thesis uses a method that adds dynamic penalty terms to the fitness function according to the optimal degree of solutions, so as to create a gradient toward a feasible suboptimal or even optimal solutions. on the basis of the difference of the biggest and the smallest of fitness of individual, modifying the fitness function in order to convergence is a satisfaction

    動態調節種群大小，去掉遺傳演算法在迭代後期搜索產生的過多相似個體，達到減少計算時間的目的；按照解的優劣程度給適應度函數增加一個在ga搜索過程中動態改變的可變罰函數，給搜索最優解創造一個梯度，使遺傳演算法收斂到可行的較優解或最優解；根據適應度值最大和最小個體的差修正適應度函數，使適應度函數值適中不容易造成收斂太快、局部收斂或根本不收斂而變成隨機搜索；為了避免「近親繁殖」採用競爭擇優的交叉操作；利用并行遺傳演算法的思想，提出一種自適應多子種群進化策略；提出人口汰新政策來解決類似甚至相同的個體的情況發生。
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