演算法選擇 的英文怎麼說

中文拼音 [yǎnsuànfǎxuǎnzhái]
演算法選擇 英文
algorithm selection
  • 演 : 動詞1 （演變; 演化） develop; evolve 2 （發揮） deduce; elaborate 3 （依照程式練習或計算） drill;...
  • 算 : Ⅰ動詞1 （計算數目） calculate; reckon; compute; figure 2 （計算進去） include; count 3 （謀劃;計...
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  • 選 : Ⅰ動詞1. （挑選） select; choose; pick 2. （選舉） elect Ⅱ名詞（挑選出來編在一起的作品） selections; anthology
  • 擇 : 擇動詞（挑選） select; pick; choose
  • 選擇 : select; choose; opt; election; choice; culling; alternative
  1. The euclidean distance is usually chosen as the similarity measure in the conventional k - means clustering algorithm, which usually relates to all attributes

    傳統的k -均值演算法選擇的相似性度量通常是歐幾里德距離的倒數，這種距離通常涉及所有的特徵。
  2. Modifying function parameter using engineer keyboard on the screen. such as, changing regulation para, on line, concept of function, selection of caculation method

    用工程師鍵盤在此畫面上進行修改組態參數，如在線改變調整參數、組態信息的定義、演算法選擇等試驗。
  3. On the basis of research on market efficiency, index funding, clustering algorithm and time factor, 295 stocks in shenzhen stock market are selected as the research objects. clustering algorithm with time factor is applied to choose portfolio population, and then single index model is used to calculate the weight of every individual stock in order to construct an index proxy portfolio to track shenzhen composite index

    本文在對市場有效性、指數化投資、聚類演算法和時間因子等有關理論進行分析研究的基礎上，以在深圳證券交易所上市的295隻股票為研究對象，使用加入時間因子的聚類演算法選擇證券投資群體，再利用單指數法構造市場指數代理證券組合，以此來逼近深圳綜合指數。
  4. The influence of frequency extension on software antenna algorithm selection

    頻率擴展對軟體天線演算法選擇的影響
  5. The performance efficiency of a network intrusion detection system ( nids ) is dominated by pattern matching algorithm

    摘要網路入侵檢測系統的效率取決于模式匹配演算法選擇。
  6. Based on the concept named structure difference among neural networks in ensemble, a negative selection immune algorithm is designed

    在定義神經網路結構差異度的基礎上，提出了利用免疫演算法選擇網路個體的神經網路集成方法。
  7. The paper introduces this system ' s structure, theory, software designing ideology, and detailed relates optimizing problem of arithmetic choosing

    本文介紹了該系統的結構、原理、軟體設計思想。並詳細地闡述了演算法選擇的優化問題。
  8. Bp algorithm can establish the high nonlinear mapping among the object and seismic attributes. ga algorithm can select the survival of the fittest

    神經網路可以建立屬性參數與預測目標之間的高度非線性映射，而遺傳演算法選擇適者生存。
  9. Some critical problems in system implementation, such as the design of the database, the rules for group decision making, the choosing of algorithm, etc, are discussed with proposition

    對系統實施中的一些重要問題，如數據庫設計、群決策機制、演算法選擇等進行了分析，提出建議。
  10. The system consists of five functional modules, sequence file management, sequence alignment algorithms selection, parameters setting, alignment result displaying, guide tree displaying, and so on

    其功能主要包括序列文件管理、序列比對演算法選擇、參數設置、比對結果輸出和指導樹查看等。
  11. The characteristics of distributed database are introduced in this paper, common used query optimization algorithms are provided are provided, and the method of selection algorithm is given

    介紹了分散式數據庫的特點，詳細闡述了常用的查詢優化演算法的思想，分析了優缺點，給出了演算法選擇的方法。
  12. This thesis is focused on the study of data - mining technique in the intelligent decision - making auxiliary system. a data - mining system based on the in - situ investigating information and the in - situ analyzing and testing data is designed and realized. in order to manage the system and select the proper algorithm, an illustration table of the algorithm and a rule - selecting database of the algorithm are proposed in the model management of this system

    本文重點研究了智能輔助決策系統中的數據挖掘技術，設計並實現了現場調查信息和分析測試信息下的數據挖掘系統，在該系統的模型管理中，提出了演算法說明表和演算法選擇規則庫，用於演算法的管理和選擇。
  13. But it is n ' t ideal because it is fallible in solving down - to - earth questions. for example, it is easy for the system to fall into local optimization state when learning algorithm is unsuitable. furthermore, there is a conflict between the complexity of network and generalization ability

    而神經網路具有一些獨特的優點，如非線性映射、容錯能力等，因而相對于其它方法，神經網路在數據挖掘中具有更大的前景，但神經網路也存在一些問題，比較典型的包括在學習演算法選擇不當時，系統易陷於局部極優狀態，網路的復雜度與泛化能力之間存在矛盾等等。
  14. The specialty of this system lies in the interface for controlling the sub algorithms of rendering pipeline. according to different needs, users can process freely like choosing interpolating and compositing algorithms, choosing viewing direction and manipulating the opacity value etc. ; the design of system is based on independent models, therefore it ' s easy to be extended. for those functions possible applicable in the future can be integrated through pre - defined interfaces in the system

    系統的特色在於實現了體繪制演算法各個步驟的控制介面，通過人機交互用戶可以根據需要進行如下操作：選擇插值演算法、合成演算法，選擇觀察角度和阻光度（不透明度）的賦值等：系統的設計是基於模塊的，具有很強的可擴展性，對于未來可能需要實現的功能都可以通過預留的系統介面方便地集成進來。
  15. For the unit selection strategy, we achieve candidate units for target ones by calculating target cost based on prosodic character vector. then we use viterbi algorithm to select the best synthesis path for simulation speech by calculating concatenative cost of the synthetic waveform, thus a corpus - based speech simulation system comes into being, and speech simulated by this system has the original speaker ’ s style, rather vivid

    在合成單元的挑選方面，根據韻律特徵向量，通過計算目標代價獲得候選單元，根據語音合成單元串聯匹配代價，採用viterbi演算法選擇模擬語音的最佳合成路徑，從而初步實現了一個基於語料庫的語音模擬系統，該系統模擬出的語音具有原始發音人的風格，逼真度較高。
  16. This algorithm adopts a middle ground between centroid - base and all - points - based approaches. instead of using a single centroid or all points to represent a cluster, a fixed number of representative points in space are chosen, these points represent and capture the geometry and shape of the cluster. in addition. the representative points of a cluster are generated by first selecting well - scattered objects for the cluster and then " shrinking " or moving them toward the cluster center by a specified fraction, or shrinking factor. the shrinking helps dampen the effects of outliers. therefore, cure is more robust to outliers

    該演算法選擇基於質心利基於代表對象方法之間的中間策略，它不用單個質心或簇中全部對象米代表一個簇，而是選擇數據空間中定數目的只有代表性的點，這些點代表和捕捉到了簇的形狀。此外，由於引入了收縮因子使代表點向簇小心「收縮」而使該演算法能夠較好地消除孤立點的影響，在處理孤立點上也更加健壯。
  17. Every functional model is designed in detail. the method based on uniformity design 、 wavelet analysis 、 cross validation and support vector machine is put forward for solve the question of nonlinearity 、 small - sample in the spectral multicomponent analysis. the method of selecting good wavelength data for building analysis model is an effective improving analysis precision. to quicken convergence, the piecewise wavelength selection method based on particle swarm optimization algorithm is established

    深入研究了光譜信號的多組分測定問題，以高效、實用化為目標，從實驗設計到演算法選擇進行了較為詳細地分析和論述，提出了基於均勻設計、小波變換和支持向量機的組合式演算法和策略，解決了在光譜多組分測量中遇到的非線性校正問題。
  18. At the same time, this paper puts forward a validity function for judging clustering in order to lead us to use it in k - nearest neighbor classification ; then introduces " generalization capability of a case " to k - nearest neighbour. according to the proposed approach, the cases with better generalization capability are maintained as the representative cases while those redundant cases found in their coverage are removed. we can find a new less but almost complete training data set, consequently reduce complexity of seeking near neighbour

    針對k值的學習，本文初步使用了遺傳演算法選擇較優的k值，同時總結了一種聚類有效性函數，數值實驗證實了其有效性，旨在指導應用於k -近鄰分類中；然後還將「擴張能力」的概念引入k -近鄰演算法，根據訓練集例子不同的覆蓋能力，刪除冗餘樣本，得到數量較小同時代表類別情況又比較完全的新的訓練集，從而降低查找近鄰復雜性。
  19. It follows that the description of characteristics of g programming language in labview and the process of building virtual instruments. the paper provides a new spectrum analyzing method of the combination of spread spectrum with fft. at last it gives the arithmetic realization and programming diagram of every part of spectrum monitoring and signal searching

    介紹了labview下如何通過計算機介面獲取數據的過程，數據採集過程中各個參數的演算法選擇；同時闡述了labview平臺下g語言的特點及構建虛擬儀器的過程，然後介紹了信號分析處理部分採用的頻率擴展與fft相結合的頻域分析方法；頻譜監測部分各個模塊的演算法實現；最後給出了信號搜索部分的演算法實現及其原理框圖。
  20. The prior information of pixel intense distribution is introduced. then simulated annealing algorithm is applied to choose the proper neighborhood structure, and the optimal estimate can be obtained

    引入像素強度的先驗概率分佈模型，運用模擬退火演算法選擇合適的鄰域結構，獲得強度的最優估計。
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