遺傳編程 的英文怎麼說

中文拼音 [yízhuànbiānchéng]
遺傳編程 英文
genetic programming
  • 遺 : 遺動詞[書面語] （贈與） offer as a gift; make a present of sth : 遺之千金 present sb with a gener...
  • 傳 : 傳名詞1 （解釋經文的著作） commentaries on classics 2 （傳記） biography 3 （敘述歷史故事的作品）...
  • 編 : Ⅰ動詞1 （編織） weave; plait; braid 2 （組織; 排列） make a list; arrange in a list; organize; gr...
  • 程 : 名詞1 （規章; 法式） rule; regulation 2 （進度; 程序） order; procedure 3 （路途; 一段路） journe...
  • 遺傳 : [生物學] heredity; hereditary; inheritance; inherit
  • 編程 : c programming
  1. To better elucidate the following critical problems - - building the rational mathematics model and searching the effective algorithms, this paper sets forth the basis of algorithms and heuristic algorithm. meanwhile it compendiously introduces the main principles of genetic algorithm and the stimulated annealing algorithm, principal parameters during the course of solving problems and vertex coloring theory

    為了更好地說明下文所要解決的關鍵問題? ?建立合理的數學模型和尋找有效可行的演算法，本文闡述了演算法和啟發式演算法的理論基礎，並扼要地介紹了遺傳演算法、模擬退火演算法的主要思想和在解題過程中應用的重要參數，以及圖的著色理論；及其在作業計劃編制中應用的可能性。
  2. This dissertation deals with the content - based image retrieval ( cbir ) theory and technique ; some new features and tools for more concisely and discriminatingly charactering the content of an image are proposed, such as region - based color histogram, grey - primitive co - occurrence matrix, ratio of centripetal moment, ratio of eccentric moment and ratio of inertial moment. a new modified genetic algorithm is also described in this dissertation, which can upgrade the performance of standard genetic algorithm ( sga ) while used in image segmentation

    本文以圖像數據庫檢索為主線，討論了基於視覺內容的圖像檢索方法，提出包括基於區域顏色直方圖、灰度?基元共生矩陣及向心矩比、偏心矩比、慣性矩比的特徵描述方式；對遺傳演算法存在的早熟、收斂到最優解慢等問題提出了解決方法，並將改進遺傳演算法應用到圖像分割中，編制了相應程序。
  3. As for single axis, pewin, the software given by the programmable multi - axis controller ( pmac ), is used to find the best parameters of the pid controller and feedforward compensation controller. then, the nonlinear friction in the system is compensated by the friction compensation controller with genetic algorithm ( ga ). the compensation controller can improve the system performance effectively

    對于單軸系統首先利用美國deltatau公司的可編程多軸控制器pmac自帶的控制軟體pewin進行pid參數的整定以及前饋補償環節的參數整定，然後分析系統存在的非線性摩擦力，利用遺傳演算法尋優摩擦力補償環節的參數，達到補償摩擦力的效果，有效地提高了系統的控制性能。
  4. 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。
  5. Firstly, in this thesis, we discuss the development of one - dimensional cutting stock problems and other well - known algorithms about them, summarize the basic principle of genetic algorithms, and analyze the effect of coding, fitness function, crossover operators and mutation operators in the genetic process of genetic algorithms

    本文首先介紹了一維下料問題的研究概況及其已有的著名演算法，綜述了遺傳演算法的基本原理和方法，分析了遺傳演算法的編碼、適應度函數、交叉和變異運算元在整個遺傳演算法的運算過程中的作用。
  6. In rsdm, binary patterns are replaced by real - valued patterns, accordingly avoiding the coding process ; the outer learning rule is replaced by regression rule, therefore the model has not only the ability of pattern recognition but the ability of function approximation. the prearrangement of the address array bases on the distribution of patterns. if the distribution of patterns is uniform. then the address array is prearranged randomly, otherwise predisposed with the theory of genetic algorithm and the pruneing measure so as to indicate the distribution of patterns and improve the network performance. non - linear function approximation, time - series prediction and handwritten numeral recognition show that the modified model is effective and feasible

    在rsdm中，以實值模式代替二值模式，避免了實值到二值的編碼過程：以回歸學習規則代替外積法，使該模型在具有識別能力的同時具有了對函數的逼近能力；地址矩陣的預置根據樣本的分佈採取不同方法，若樣本均勻分佈，則隨機預置，否則利用遺傳演算法的原理和消減措施來預置地址矩陣，使之反映樣本的分佈，改善網路的性能。
  7. Graphical user interfaces are developed to be convenient for implementing of parameterized model and debugging of program parameters. program of optimization based on ga is designed to optimize obturating performance of the obturator of the breech mechanism, further, the effect of control parameters of ga and friction factor on the optimal structure is studied

    開發了實施參數化建模和程序參數調試的界面，編制了遺傳演算法優化程序，對炮閂閉氣結構進行了閉氣性能優化，並研究了遺傳演算法運行的控制參數對優化結果的影響以及摩擦系數對最優結構形式的影響。
  8. The thesis detailedly discusses a kind of optimize method on genetic algorithm, and points out the advantage obout utilizing genetic algorithm to solve large - scale non - linear system. through the study on large - scale strip mine truck real - time dispatch system, proposes the optimize model of strip mine truck real - time dispatch system, and utilizes the characteristic of genetic algorithm, provides a method of using genetic algorithm to solve the optimize model, designs the genetic operators at the same time. by the program language of matlab, develops strip mine truck real - time dispatch system. the system has the advantage of simpless and perfect function, proposes powerful sustain for strip mine ' s production and decision - making

    本文詳細討論了遺傳演算法這種優化方法，指出了遺傳演算法在解決大型非線性系統優化問題時的優越性。通過對大型露天礦卡車調度系統的研究，建立了露天礦卡車實時調度系統的優化模型，並藉助于遺傳演算法自身的優點，給出了應用遺傳演算法解算該優化模型的編碼方法，設置了相應的遺傳運算元。並用matlab編程語言開發了露天礦卡車實時調度系統，該系統具有操作簡單和功能較完善等優點，為露天礦的生產決策提供了強大的支持。
  9. Taking natural frequency and mode as damage principle, damage detection is studied as optimal problem based on genetic algorithm, and damage indices, symmetry and precision in the damage detection is discussed. numerical simulation of the damage detection of offshore platforms using genetic algorithm proves the feasibility of genetic algorithm in damage detection of large structure ; program all the process of genetic algorithm in damage detection into damage detection system

    以實測的固有頻率和振型為診斷依據，將損傷診斷問題歸結為優化問題，採用遺傳演算法加以研究，以10單元固端梁的損傷診斷為基礎，討論了診斷中出現的損傷指標，損傷對稱性和變量精度等問題；將遺傳演算法的損傷診斷應用於海洋平臺，驗證了遺傳演算法用於大型結構損傷診斷的可能性；並用matlab將遺傳演算法應用於損傷診斷的全過程編製成損傷診斷系統。
  10. According to the math model of order picking and the structure of fixed shelf, it builds a circular route applied to engineering application and being easy to program

    結合揀選作業的數學模型和固定貨架的物理結構，構造了一種適合工程應用、編程簡單的環狀作業路徑，並將該演算法與最近鄰居法和混合遺傳演算法進行了分析比較。
  11. Related topics include first principle based and genetic programming ( gp ) based modeling of refining process, predictive control, predictive inferential control, etc. main contents in the dissertation include : 1. based on the analyses of current status in the research of modeling and control of pulp refining process, some opening problems for developing its computer control system are pointed out

    研究領域包括打漿過程的機理建模、基於遺傳編程的打漿過程建模、預測控制、預測推斷控制等。本文主要研究內容： 1在系統綜述了打漿過程機理模型和打漿過程實時控制研究現狀的基礎上，指出了開發打漿過程計算機控制系統所需解決的幾個主要問題。
  12. The theory and the implementation of the genetic algorithms are discussed in detail. the question on how to choose the crossover probability, the mutation probability, the scale of population and the numbers of the generation is discussed. then, the mathematics model of the optimal design is established

    詳細介紹了遺傳演算法的理論和實現技術，探討了交叉概率、變異概率、群體規模、進化代數等變量的選取問題，建立起了基於遺傳演算法的深基坑支護結構設計的優化模型，結合彈性地基梁有限元法，利用fortran語言編制了gafortran優化程序，程序中包括普通遺傳演算法和改進遺傳演算法。
  13. The improving genetic algorithm, carrying on fortran language, is used in suibuya water conservancy hub. based on the ansys language procedure calculation, the stress parameter vibration of the underground carvera accords with the truth and the answer is correct

    改進遺傳演算法採用fortran語言進行程序開發編程應用於水布埡水利樞紐位移變形監測參數反演中，反演所得的數據用ansys編程進行模擬模擬分析。
  14. Abstract : a optimum design method in which the optimum shapes and dimension of cross sections are selected to minimize the structural volume and get the global optimum solution, is presented first by means of the method of the genetical gorithm. the numerical results show that the model is valid

    文摘:利用遺傳演算法，首次提出「取剛架截面形狀和尺寸規格為設計變量，結構體積為目標函數，求全局最優解」這一優化模型.通過對各個計算環節的研究，確立了可行的計算方法，編制計算程序，並以算例證明該方法的有效性
  15. Based on the darwinian principle of survival of the fittest, genetic programming uses mutation and replication to produce algorithms for creating ever - improving computer programs

    遺傳編程建立在達爾文最適者生存的自然選擇法則的基礎之上，利用變異和復制來生成演算法，該演算法可創建不斷改進的計算機程序。
  16. The following aspects are principally studied in the thesis : the information of several respects on genetic programming is learned in depth relatively and broadly

    本文的研究主要集中在以下幾個方面：比較深入而廣泛地學習了關于遺傳編程的各方面的知識。
  17. Evolutionary computation including genetic algorithms, evolutionary progranuning, evolution strategies and genetic programming, is a class of stochastic search algorithms

    進化演算法是借鑒生物自然選擇和遺傳機制而產生的隨機搜索演算法，主要包括遺傳演算法、進化規劃、進化策略、遺傳編程。
  18. In view to that, with the aid of a newly developed evolutionary computation technology, namely, genetic programming, it is significative to study the identification of certain nonmonotonic nonlinear systems based on genetic programming

    針對上述情況，藉助于新興的進化計算遺傳編程方法，研究基於遺傳編程技術的對某類非單調、非線性系統的辨識方法具有十分重要的意義。
  19. With this understanding, generalization is made. first, the basic theory of genetic programming is illuminated here and its attributes are summarized. second, certain phenomena in the run of gp system and the correlative theories are described

    本文首先闡述遺傳編程的原理，概括了該方法的特點；並描述了系統運行中出現的一些現象和理論，隨后對該技術領域的發展方向進行了介紹。
  20. A method based on gene expression programming ( gep ) for identifying the nonlinear system model is presented, which makes up the insufficiency that traditional identification methods need much a priori information, and has a tidier and more efficient system model expression mode than genetic programming ( gp )

    摘要給出了利用基因表達編程（ gep ）進行非線性系統辨識的方法，彌補了傳統辨識方法需要過多預知信息的不足，有著比遺傳編程（ gp ）更簡潔有效的系統模型結構表達方式。
分享友人
分享到 Line

分享到臉書