智能標簽系統 的英文怎麼說

中文拼音 [zhìnéngbiāoqiānxìtǒng]
智能標簽系統 英文
intelligent tagging system
  • 智 : Ⅰ名詞1 （智慧; 見識） wisdom; intelligence; knowledge 2 （姓氏） a surname Ⅱ形容詞（有智慧; 聰明...
  • 能 : 能名詞（姓氏） a surname
  • 標 : Ⅰ名詞1 [書面語] （樹梢） treetop; the tip of a tree2 （枝節或表面） symptom; outside appearance; ...
  • 簽 : Ⅰ動詞1 （簽名） sign; autograph 2 （簽署意見） make brief comments on a document3 （粗粗地縫） ta...
  • 系 : 系動詞（打結; 扣） tie; fasten; do up; button up
  • 統 : Ⅰ名詞1 （事物間連續的關系） interconnected system 2 （衣服等的筒狀部分） any tube shaped part of ...
  • 智能 : intellect; intelligence; mind; brain power; intellectuality; mentality; noopsyche; brow智能測試 i...
  • 標簽 : label; tag; counter mark; pag; mark; tally; swatch （染布時用）; reader; price tag
  • 系統 : 1. （按一定關系組成的同類事物） system 2. （有條理的;有系統的） systematic
  1. Then in - depth analysed some key technologies including the webpage content extracting, the website topological structure analysis, the website subject analysis & indexing and the website retrieval. especially, some novety solutions, such as the content extraction methology based on the space length of tags, the website tree construction methology based on the similarty of directory in url, and the website concept methology basd on the structure of website, are proposed. finally on the basis of the algorithms and theory, the intellectual websites retrieval system is built and the experiments proved that it can achieve better results

    根據以上研究目的，本文首先分析了智能網站檢索技術的構造與實現，提出了基於主題標引的智能網站檢索系統的系統結構與實現策略，之後對系統中的主題分析、標引與檢索等關鍵技術進行了深入分析，針對主要技術難點重點討論了網頁正文抽取，網站拓撲結構分析，網站主題獲取等相關實現技術，提出了基於標簽間距的正文抽取演算法，基於url目錄相似度的網站結構分析演算法和基於網站結構的網站主題概念獲取演算法等解決方案。
  2. Commissioning is made easier by large label fields and smart functions such as autoconfiguration and autocrossing

    通過使用大標簽以及諸如自動設置和自動交叉之類的智能功能，使系統的實現更加容易。
  3. On the basis of summarizing the common principle and method of selection of system structure and setting function and means of implementation, we research mainly on such subjects as follows : firstly, we studied the implementation of text extraction and digital signature by cad secondary development technology combine with database technique. secondly, based on method for pre - processing scanning images of drawings, finally, the application of artificial neural network in engineering drawing sign character recognition was researched. in this thesis, we presented the building model and implementation method has some references to the designing work of similar system

    在論述系統結構選取、功能構建以及實現技術的一般原理和方法的基礎上，進行了以下幾個方面的研究：首先研究了cad二次開發技術同數據庫技術相結合實現系統圖紙文本信息西安理工大學碩士學位論文提取和電子會簽功能，然後研究了掃描圖紙的圖像處理技術，為圖紙的矢量化和智能識別提供圖形表達準確、圖形要素和字元要素分離的數據源，最後研究了人} _神經網路技術在} _程圖紙標識字元識別中的應用。
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