特徵項 的英文怎麼說

中文拼音 [tèzhǐxiàng]
特徵項 英文
feature item
  • 特 : Ⅰ形容詞（特殊; 超出一般） particular; special; exceptional; unusual Ⅱ副詞1 （特別） especially; v...
  • 徵 : 名詞[音樂] （古代五音之一 相當于簡譜的「5」） a note of the ancient chinese five tone scale corre...
  • 項 : Ⅰ名詞1 （頸的後部） nape （of the neck） 2 （款項） sum （of money） 3 [數學] （不用加、減號連接...
  • 特徵 : characteristic; feature; properties; aspect; trait
  1. First, the theory of project " s financing, the explanation of project financing, main characteristics, with an emphasis on some project financing methods connected with the study of this article ; second, introduction of the relative background materials of " non - addictive anodyne epibatidiue " ; third, the project financing blue print design ; fourth, the end of this article

    第一部分為項目融資理論：介紹項目融資的定義、主要特徵，重點介紹了一些有關此文研究的項目融資方式：第二部分為「非成癮性鎮痛藥epibatidiue 」項目的相關背景資料介紹；第三部分為項目融資方案設計；第四部分是結論。
  2. The results showed as follows : ( 1 ) 6 traits are correlative with genomic factors according to analysis of population genetics and comparison of the coherence of twins. ( 2 ) the hereditary mode of rolling tongue or pointed tongue was the dominant heredity of single gene of autosome, and the can - rolling type or can - pointed type was the dominant character

    本文首次從群體遺傳學、家系分析、典型系譜分析及雙生子分析多個角度並結合多種相關數理統計方法，對6項人類學特徵的遺傳方式進行了探討，初步確定了各項特徵的遺傳方式，評價了各特徵的遺傳與環境的相對重要性。
  3. Abstract : we make a survey and analysis of the personality factor in 78 outstanding nurses with “ cattell the sixteen personality factor testing ”. it shows that they have the personality factors of being less sensitive, serene, perceptive and resolute as compared with the average nurses. besides they display the personality factors of being more daring, exploratory, independence and self - restraint while less dominant, distrust and shrewd than average women

    文摘:採用卡氏16項個性因素對78名優秀護士的人格特徵進行測量分析，結果表明：與一般護士比較，她們具有低敏感性、安詳、機警、果斷的人格特徵；同一般女性相比，她們具有高敢為性、高實驗性、高獨立性、高自律性、低恃強性、低懷疑性和低世故性的人格特徵。
  4. Derivation of item characteristic functions and a study of their characteristics

    項目特徵函數的導出及其特徵研究
  5. For the delay - independent stability, necessary and sufficient algebraic criteria have been obtained in terms of characteristic functions. the key of the criteria is to verify that a polynomial has no nonzero real roots

    對時滯無關穩定性，以特徵函數為工具，獲得了充要代數準則，其核心是判定多項式方程無實根，這一問題由廣義sturm理論解決。
  6. 1 ) term selection : the paper researches on term reducing and n - gram model

    L ）特徵提取方面主要研究了特徵項降維和n元模型。
  7. Aimed at scarcities of current means to calculate document feature item weight, using vsm for reference, this paper advances a method to calculate weight of document feature item based on bp neural net. bp neural net is applied broadly for its simple structure and working stabilization

    本文針對現存的文檔特徵項基於internet的信目、檢索若干問題的研究權重統計方法的不足，結合向量空間模型表示文檔特徵的方法，提出利用神經網路技術對文檔的文檔特徵權重進行估計的方法。
  8. Cad files can be viewed through pdm. coding system and pdm serve each other. referring to the theory and technology of a gt - based information classifying coding system framework, we design a part classifying coding system. it consists of identification code, classification code and feature items

    本文研究了一種以成組技術為基礎的製造企業信息分類編碼理論及技術，針對啞鈴型企業設計了一個零部件編碼系統，其結構為零部件標識碼、分類碼和特徵項目。
  9. ( 2 ) the influence to classification result is highly effected by using different classifier, for example, the center - vector algorithm obtains better classification results than other two algorithms. with the character feature, the average recall is 80. 73 %, and the average precision is 82. 94 %, and with the chinese - word feature, the average recall is 83. 6 %, and the average precision is 85. 97 %. different corpuses influence the classification result. for example, the average recall is 89. 31 % and the average precision is 88. 33 %, by using the news web pages as corpus from the web site " www. sina. com. cn ", which adopt the center - vector algorithm to structure classifier and select chinese - word as feature

    對三種分類器分別以字、詞為特徵進行分類測試、分析發現：使用相同的分類演算法，用詞作為特徵項，比以字作為特徵的分類效果好；用不同的演算法構造分類器對分類效果的影響很大，如中心向量演算法在字、詞特徵下的分類效果優于其他兩演算法；在以字為特徵的情況下，該演算法的平均查全率80 . 73 ，平均查準率82 . 94 ；在以詞為特徵的情況下，該演算法的平均查全率83 . 6 ，平均查準率85 . 97 ；選用語料不同對分類效果也有影響，如用新浪網（ www . sina . com . cn ）網頁語料進行測試，使用中心向量法分類器和詞作為特徵的情況下，平均準確率為89 . 31 ，平均查全率為88 . 33 。
  10. With the continuous advancing of the restructuring of market economic systems and the development of construction of water resources infrastructure projects, implementing the system of construction project legal person taking responsibility in social benefit - based water projects becomes a general trend. according to the temporary provisions, china tried out the system of construction project legal person taking responsibility in some social benefit - based water projects

    在對公益性水利工程財務特徵、經濟學特徵、項目管理特徵充分分析的基礎上，對公益性水利建設項目法人責任制相關問題進行研究，分析項目法人的主體特徵，明確責任主體和政府的職責定位，並對運行作模式進行了深入的探索，最後以臨淮崗洪水控制工程為例，對項目法人責任制相關問題進行實證研究。
  11. 11 mounlinier i, ganascia j g. applying an existing machine learning algorithm to text categorization. in connectionist statistical, and symbolic approaches to learning for natural language processing, wermter s, riloff e, scheler g eds., heidelberg, germany : springer verlag, lecture notes in computer science, vol

    由於挖掘出的特徵項目集可能很多，為了進一步的精簡項目集，提出了一個以可變精度粗糙集模型為基礎的方法對每個特徵頻繁項目集對分類的貢獻進行評估，剪除那些對最後的分類效果貢獻不大的項目集，並用精簡后的項目集構造每類文檔的主題模板。
  12. The system firstly learns the domain training samples by using thesaurus to process word - separation and word - frequency statistics. according to word - frequency distribution, it chooses the feature collection and their weights to formulate feature vector and generate domain model and user model

    系統首先對領域訓練樣本進行學習，利用領域詞典對訓練文本進行詞條切分和詞頻統計，並根據詞頻分佈，提取代表採集目標的特徵項集和相應的權重，生成特徵矢量，形成初始領域模型和用戶模型。
  13. To enhance the quality of content - based information services, we need to improve the text arithmetic of text classification. as a result, this paper researches in detail into statistical text classification arithmetic. it divides the text classification system into three parts, that is, term selection, term weighting, and classifier construction

    要想提高基於內容的信息服務質量，需要在技術方面從根本上提高文本分類摘要演算法的正確率，因此本文全面研究了基於統計的自動文本分類方法，包括特徵項提取、賦權、分類器構建等問題。
  14. 3. advancing a method to calculate weight of document feature item based on bp neural net the key technologies of information retrieval system are the followings : representation of document and user query ; query matching strategy ; correlation calculation of matching result

    提出一種基於bp神經網路統計文檔特徵項權重的方法信息檢索系統的核心技術主要包括三個方面的內容：文檔與用戶查詢的表示：查詢匹配策略；匹配結果的相關度計算。
  15. Among them, document representation is the foundation of information retrieval technologies. document representation includes document feature item extraction and weight calculation of document feature item

    其中文檔表示是信息檢索技術的基礎，而文檔表示包括文檔特徵項的抽取和文檔的特徵項權重的統計。
  16. This trained bp neural net can output the weight of document feature item if its frequency is inputted, therefore the net can represent the document feature. from tests, this method is proved that it c an applied practicably and simply, and have high precision

    本文設汁並訓練出一個適合的bp網路，給出一個文檔的特徵項出現頻率能計算出特徵項在該文檔中的權重，從而表示出文檔特徵。
  17. For text classification based on rs theory, a decision table is created with the weights of text characteristic terms discretized as the rules " condition attributes and the classes of texts as decision attributes

    基於粗糙集理論的文本分類演算法中，將文本特徵項的權值作為規則的條件屬性，文本所屬的類別用作決策屬性，構造決策信息表。
  18. Improvement in text categorization lies not in algorithm of classing model, hut on the fundamental element : integrated and independent feature of text representation

    摘要文本分類的進一步改進除了演算法方面，應該還立足於影響文本分類最底層、最根本的因素：文本表示中的特徵項，提高特徵項的完整獨立程度。
  19. In the information gathering research, the paper uses " redundancy webpage filtering system " to show how to resolve the reconstruction problem in the information gathering process. the paper mainly discussed how to reduce the time complicacy and space complicacy of the filtering system

    在信息資源建設方面，本文用「冗餘網頁過濾系統」來說明如何解決資源建設中的重復建設問題，在研究中主要針對演算法的時間復雜度和空間復雜度進行了優化，找到了表達一篇文檔的最優特徵項個數數值，在確保正確率的基礎上加快過濾速度。
  20. Wbs has not only implemented the web log mining function, but also put forward a method to supply the needs of personalization service. this method was based on the technique of web usage mining and web content mining, hi this system bookmarks and users are represented by vector on feature space and managed in a uniform manner by the engine

    結合系統特點? ? bookmark服務，系統不僅實現了日誌挖掘功能，並提出了一種結合web用法挖掘和web內容挖掘的方法，即將bookmark和用戶以基於特徵項空間的向量形式統一進行管理，採用聚類（ clustering ）的方法根據匹配度來為用戶提供個性化服務。
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