隱式并行性 的英文怎麼說

中文拼音 [yǐnshìbīnghángxìng]
隱式并行性 英文
implicit parallelism
  • 隱 : Ⅰ動詞（隱瞞; 隱藏） hide; conceal Ⅱ形容詞1 （隱藏不露） hidden from view; concealed 2 （潛伏的; ...
  • 式 : 名詞1 （樣式） type; style 2 （格式） pattern; form 3 （儀式; 典禮） ceremony; ritual 4 （自然科...
  • 行 : 行Ⅰ名詞1 （行列） line; row 2 （排行） seniority among brothers and sisters:你行幾? 我行三。where...
  • 性 : Ⅰ名詞1 （性格） nature; character; disposition 2 （性能; 性質） property; quality 3 （性別） sex ...
  1. 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。
  2. The paper discusses the basic theory of genetic algorithms including schemate theorem, building block hypothesis, implicit parallelism, the analysis of astringency and so on, as the theoretical base of application

    在對遺傳演算法的闡述中，討論了遺傳演算法的基本原理，包括模式定理、積木塊假設、隱含并行性和遺傳演算法的收斂性分析等，作為後面遺傳演算法應用的理論依據。
  3. Neural network is applied in design of blast parameter, which is not needed the trim and sum up of engineer and knowledge of expertise. what are needed is some succeed examples and stylebooks to train the system. to some knowledge, which is expressed by implication, at the same time to acquire knowledge, much knowledge in the same question were showed in the same network

    採用神經網路進行爆破參數設計不需要知識工程師進行整理、總結以及消化領域專家的知識，只需要用領域專家解決問題的實例或範例來訓練網路；在知識表示方面，採取隱式表示；在知識獲取的同時，自動產生的知識由網路的結構和權值表示，通用性強，便於實現知識的自動獲取和并行聯想推理。
  4. The portable, extensible toolkit for scientific computation, petsc, has become a model of the high performance numerical software which gains huge attention and wide use in commuting community throughout the world. our selection of petsc as the target model of studying is based on following reasons : petsc uses mpi for all parallel communication, which is most fittable for general scalable computing, especially on our pc - cluster platform. petsc is a general purpose suite : of tools for the scalable solution of partial differential equations and related problems, which is much in accord with our research focus

    可移植、可擴展科學計算軟體包petsc是近來在國際上很受關注、應用廣泛的高性能并行數值軟體開發典範之一，我們對它的重點學習與研究主要出於以下考慮： petsc基於mpi并行程序設計平臺，適合於我們常用的并行計算機尤其是機群系統；它以偏微分方程、代數方程求解功能為實現重點，非常切合於我們的主要研究方向和應用需求；尤為重要的是，在其良好的軟體使用模式和執行性能下隱含的先進軟體設計思想和程序實現方案，對我們今後的數值軟體開發很有借鑒意義。
  5. To meet the practical requirements for distributed - memory parallel computing of numerical forecasting models, we study on the parallel characteristics of spectral element and finite difference methods. on this basis, we develop fast and parallel computations for three meteorologic models, including 2 - d shallow water equations, the new generation multi - scale weather forecasting model and the ocean general circulation model

    本文從氣象預報數值模式分散式存儲并行計算的實際需要出發，著眼于譜元素方法和有限差分的并行計算性能，研究了二維半隱譜元素淺水波模式、中國科學院大氣物理研究所第三代海洋環流模式和中國新一代多尺度預報模式等三個氣象預報模式的高效并行計算，設計實現了相應的應用軟體。
  6. In the parallel computation, there are two strategies, namely sbs and ebe ; for the nonlinear problem solution, there are direct and iterative algorithms, but for dynamic analysis there are explicit and implicit integration, and high precision direct integration

    有限元并行計算有sbs 、 ebe兩種策略，非線性求解有直接與迭代解法，動力時程分析有顯式、隱式和精細時程積分法。
  7. Finally, genetic optimization research is summarized on several typical production scheduling problems. after expounding the general idea of genetic algorithm, the comparative advantages in contrast to the traditional algorithm, the basic characteristics of genetic algorithm and its theoretical base, the paper puts emphasis on the efficiency of genetic algorithm in the scheduling of flow shop, and puts forward an improving genetic algorithm : the ordinal genetic algorithm based on the heuristic rules. the new algorithm introduces into the initial group the solution of heuristic algorithm, and in the group structure adopts a strategy of first ordering according to the priority of the adaptive solution, and then defining a new way of choosing probability by segments, which provides more hybridizing opportunity for optimized individuals, and designs variation - control rule to prevent single population and partial optimal solution

    在論述了遺傳演算法的思想、與傳統搜索演算法的比較優勢、遺傳演算法的基本特徵和遺傳演算法的理論基礎（包括模式定理、隱含并行性、基因塊假設、欺騙問題和收斂性定理）后，重點探討了遺傳演算法在flowshop調度問題中的潛力和有效性；結合啟發式規則，提出了一個改進的遺傳演算法?基於啟發式規則的有序遺傳演算法，新演算法在初始種群中引入了啟發式演算法的解，在種群結構上採用了先按適應值優劣排序再分段確定選擇概率的新策略，使優質個體有更多的雜交機會，在變異中設計了變異控制規則，以防種群單一化，而陷入局部優化解。
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