搜索特性 的英文怎麼說

中文拼音 [sōusuǒtèxìng]
搜索特性 英文
search attribute
  • 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; ...
  • 特 : Ⅰ形容詞（特殊; 超出一般） particular; special; exceptional; unusual Ⅱ副詞1 （特別） especially; v...
  • 性 : Ⅰ名詞1 （性格） nature; character; disposition 2 （性能; 性質） property; quality 3 （性別） sex ...
  • 搜索 : 1 （仔細尋找） search for; ferret about; hunt for; scout around 2 [電子學] hunting; scan; [控] in...
  • 特性 : characteristic（s）; character; performance; features; properties; behaviour; response; character...
  1. ( 2 ) the key to improve the processing time is the multi - scale feature used to accelerate the binary - process. ( 3 ) apery intelligent character cognitron has been given based on the varied - grid feature vector and multiplayer and multi - mode of cognition psychoanalysis

    （ 2 ）識別實時性改進的關鍵是提高二值化處理速度，主要利用小波多尺度特性變閾值的全局搜索為局部定位，提出一種改進的二值化方法。
  2. Under the strategic m & as, the merging company can identify significant features of the target company, therefore lessen the circumscription of search ; after completion of first selection of target company, the merging company should analyze its fundamental information carefully ; moreover, as open messages of listed - company, financial statements should be analyzed carefully too. though principal components analysis the merging company can evaluate the operating result of the target company so synthetically as to master its operating condition precisely

    在戰略性並購中，主並公司可以利用logistic模型識別出目標公司的顯著性特徵，從而縮小搜索范圍；完成目標公司的初選后，對其基本情況作詳實的分析，此外，財務報表作為上市公司對外公開的資料，也作了重點分析；利用主成份評價方法可對目標公司經營業績進行綜合評價，更能準確地掌握其經營狀況。
  3. First, we research the characters of topic - special searching, and then propose the thinking of design, system structure, searching strategy, searching method and etc. basing on an optimal searching strategy, topic - special search engine can gather more quickly topic - special new information. meanwhile, considering the situation of internet, we accept a searching method of human nature. second, our search engine can parse the content of page, pretreat the page, and recognize a page involved in overseas chinese affairs

    並著重針對主題式搜索提出了一種優化的基於歷史反饋（ bhf ）的搜索策略，使主題式搜索引擎能更快更及時的搜索到與主題有關的最新信息；同時就目前的internet上的網站的現狀提出適合本課題的人性化搜索方式；其次，在僑務信息處理方面，針對基於內容的分析，進行了有效的預處理，根據僑務信息的特徵對網頁進行僑務信息的識別。
  4. And raga can steadily adjust and compress the variable changed space. the times of accelerating circle is not many, commonly, the times is under 10 times. even though the problem is very complicated, the times of accelerating circle is less than 50 times

    該方法具有處理復雜優化問題的能力，並且，它調整、壓縮搜索區間的性能也是穩健的，不易早熟收斂，加速循環的次數也不會很高，一般就在10次以下，即便是特別復雜的問題其加速循環次數也在50次以內，所以說raga的計算量很少。
  5. Because of its hardness, a genetic algorithm is developed with a reduced solution set on its property

    針對模型提出一種改進的遺傳演算法，並根據其特性減少了搜索空間。
  6. The arithmetic was much more efficient than blindfold searching ; in addition, its practicability and replantation were better than special arithmetic for given object

    比盲目的搜索效率要高，也比專門的針對特定問題的演算法通用性強。
  7. A novel motion estimation algorithm which is based on compensability analysis of the input video signal is proposed. the motion estimation operation is performed only on the compensable blocks in the image frame. the time of estimation computation and the bits for coding the motion vectors are all reduced significantly than those of conventional algorithms

    本文介紹了一種新穎的運動矢量估計演算法，我們首先對待編碼的圖像進行可補償性分析，然後運動矢量搜索只對可補償塊操作，因此無論是搜索次數還是用於對運動矢量編碼的比特數均明顯少於傳統演算法
  8. The support vector classifier is adopted to identify fault in the two types, and the grid search method based on cross - validation is chosen to determine model parameters

    該模型將變壓器故障分為放電性和過熱性兩大類，通過統計分析尋求特徵量區分類間的故障類型，採用支持向量機識別類內的故障類型，利用基於交叉驗證的網格搜索法來確定支持向量機的參數。
  9. Considering of the differences of task scheduling between a grid and a distributed system, this dissertation designs a real number encoded mode that mapping every task to a random resource directly by improving the encoding mode of the traditional genetic algorithm, and gives a particular design to the encoding and decoding mode. at last, this algorithm is simulated in the grid simulator. the experiment results show that the reformative genetic algorithm not only has a holistic searching ability, but also makes a fast convergent speed, which provides a preferable performance

    本文根據網格計算任務調度的特點，提出了基於改進的遺傳演算法的網格任務調度，通過對傳統遺傳演算法的編碼方式進行改進，針對網格任務調度與一般分散式系統任務調度的不同之處，設計了資源?任務的一一對應的實數編碼方法，詳細設計了其編碼及解碼方式，最後在網格模擬器中進行了模擬，實驗數據證明了改進后的遺傳演算法即具有全局搜索能力，又具有較快的收斂速度，具有較好的性能，該實驗達到了本文以實現任務調度的最優跨度為目標的實驗目的。
  10. In the study on level wise search algorithm, the structure and character of three basic frequent set discovery algorithms ais, apriori and dhp are studied by simulation. a model of level wise search algorithm is given and its time complexity is analyzed respectively on transaction scale, item length and support parameter

    在分層搜索演算法的研究方面，本文模擬分析了ais 、 apriori和dhp三種基本演算法的結構和特點，構造了一個分層搜索演算法的時間復雜度模型，從事務規模、數據項平均長度和支持度三個方面，對分層搜索演算法的時間復雜性進行了分析和驗證。
  11. The traditional dht - p2p system has its limitations. it can only perform single keyword search and cannot understand the meanings of users requests

    傳統的dht - p2p系統有一定的局限性，如基於單特徵詞搜索，計算機不理解用戶搜索請求的含義等。
  12. Aimed at multiple - limit, multiple - object, non - linear, discrete of voltage / var optimization and control, on account of whole evolution of evolutionary programming, no demand for differentiability of optimal function, and random search, it can obtain global optimum with mayor probability, this paper solve optimal function with evolutionary programming

    在對優化的具體實現過程中，由於進化規劃著眼于整個整體的進化，對于所求解的優化問題無可微性要求，採用隨機搜索技術，能以較大的概率求解全局最優解的特點，針對電壓無功控制模型是一個多限制、多目標、非線性、離散的優化控制問題，因此應用進化規劃演算法進行模型的求解。
  13. Aiming at matching searching of customer demand in product configuration design of case - based reasoning, the conception of the entities, the entity, the attribute, the primary attribute set, the similar element etc. were introduced, and the similarity calculation model based on entity attribute was established ; the mapping relationship of customer demands and the product structure cellular feature during the process of product configuration was studied, and the calculation flow of similarity was put forward ; the type, range and weighting of attribute were analyzed, the calculation method of property similarity and formula of entity similarity were advanced

    摘要針對基於實例推理的產品配置設計中客戶需求匹配搜索的問題，引入了實體集、實體、屬性、主屬性集、相似元等概念，建立了基於實體屬性的相似度計算模型；研究了產品配置過程中客戶需求與產品結構單元特徵之間的映射關系，提出了相似度的計算流程；分析了屬性的類型、值域和權重，提出了屬性相似度的計算方法和實體相似度的計算公式。
  14. Adaptive mutation algorithm has been adopted to ensure the global random searching speciality for feasible individual

    而對可行個體，則採用自適應變異演算法，以保證演算法的全局性隨機搜索特性。
  15. Add attribute search to filter

    給過濾器加屬性搜索特性
  16. The properties files are searched the in the same fashion as standard resourcebundles are searched in java

    搜索特性文件的方法與在java中搜索resourcebundles的方法一樣：
  17. One search pass can produce a summary of the searchable features of documents, and subsequent searches will never need to read those documents again

    得多。一次搜索傳遞能生成文檔可搜索特性的摘要，后繼搜索就不必再次閱讀這些文檔。
  18. Thirdly, genetic algorithm is a kind of search and optimization method simulating the life evolution mechanism, which has the advantages of global optimization and implicit concurrency

    遺傳演算法是一種模擬生命進化機制的搜索和優化方法，與常規優化演算法相比，具有隱含并行性和全局搜索特性，因此選擇遺傳演算法進行尋優計算。
  19. Genetic algorithm is a random searching method which simulates natural selection and evolution. this method has some advantages that other usual methods do n ' t have because of its two characters - - - - - - implicit parallelism and global searching

    遺傳演算法是模仿自然選擇與進化的隨機搜索方法，由於其隱含并行性和全局搜索特性，使其具有其他常規優化演算法無法擁有的優點。
  20. 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。
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