正則樹文法 的英文怎麼說

中文拼音 [zhēngzéshùwénfǎ]
正則樹文法 英文
regular tree grammar
  • 正 : 正名詞（正月） the first month of the lunar year; the first moon
  • 則 : Ⅰ名詞1 （規范） standard; norm; criterion 2 （規則） regulation; rule; law 3 （姓氏） a surname Ⅱ...
  • 樹 : Ⅰ名詞1 （木本植物的通稱） tree 2 （姓氏） a surname Ⅱ動詞1 （種植; 栽培） plant; cultivate 2 （樹...
  • 文 : Ⅰ名詞1 （字） character; script; writing 2 （文字） language 3 （文章） literary composition; wri...
  • 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...
  • 正則 : holomorphic
  • 文法 : grammar文法學 grammar
  1. Firstly the patterns of the multifingered hands are detailed, eight patterns are defined. the classical bayes method is used in the classification of pre - grasp of multiple fingers based on three patterns which are grasping, holding and pinching. based on the eight pre - grasp patterns, bp neural network is applied in the classification of the pre - grasp of multifingered hands and gets a good effect. the method solves the shortcoming input sample relying on the propobility density and simplified the un - insititution characters extraction. in this paper, support vector machine ( svm ) and binary - tree with clustering is applied in the classification. this method can solve the slow speed and effect with fewness sample in the classification, achieving a good effect. in this papper, we extract the characters of the regulation object with geometry characters and extact the unregulation object with the image analysis

    此法解決了輸入樣本依賴物體的概率密度的特點，簡化了分類特徵提取的不直觀性。本文還採用了支持向量機（ svm ）和聚類二叉樹相結合的方法對機器人手預抓取八類模式進行分類，解決了預抓取模式分類訓練速度過慢以及在分類中樣本數量偏少而影響分類效果的問題，得到了較高的正確率。本文對預抓取幾何形狀規則的物體採用直接提取其幾何特徵，對于預抓取幾何形狀不規則的物體採用圖像分析的方法進行特徵提取。
  2. Aiming at this problem, the main research issues and achievements in this paper are as follows : bi - directional data transformation between rdb and xml with semantic constraints preserved for most of existing researches on static data transformation between xml and rdb, dtd is taken as the schema description language for xml, and the semantic constraints are often lost during the transformation process. to overcome these disadvantages, the author adopts xml - schema, a standard schema description language proposed by w3c to replace dtd, as the description method owing to its more powerful functions than dtd, and of course with the syntax much more complicated. after analyzing the constraints characteristics in both xml - schema and relational schema, a semantic constraints - preserved algorithm is proposed which can realize the bi - directional schema mapping between rdb and xml through a formalized description of xml based on regular tree and a general expression for relational schema based on direct graph approach

    保留語義約束的xml與rdb雙向靜態數據轉換技術現有研究大多採用dtd （ documenttypedefinition ，文檔類型定義）作為xml的模式描述語言，並且在模式映射過程中丟失語義約束信息，本文分析了xml - schema （ xml - schema採用與dtd完全不同的語法，數據描述能力更強同時也更為復雜，已被w3c確定為替代dtd作為xml模式描述語言的標準）及關系模式的語義約束特徵，通過基於正則樹的xml形式化描述方法以及基於有向圖的一般關系模式表示方法的研究，建立保留語義約束的xml - schema與關系模式的雙向模式映射演算法，實現了xml與rdb的雙向數據轉換，較好地解決了xml與rdb在靜態數據轉換層面的數據集成問題，可有效滿足企業大量rdb數據面向xml的發布以及與日俱增的xml數據存入rdb的應用需求。
  3. The essence of edid is to set up a normal behavior fuzzy sub collection a on the basis of watching the normal system transfer of the privilege process, and set up a fuzzy sub collection b with real time transfer array, then detect with the principle of minimum distance in fuzzy discern method the innovation point of this paper is : put forward the method of edid, can not only reduce efficiently false positive rate and false negative rate, also make real time intrusion detection to become possibility ; have independent and complete character database, according to the classification of monitoring program, design normal behavior and anomaly behavior etc., have raised the strongness of ids ; use tree type structure to preservation the character database, have saved greatly stock space ; in detection invade, carry out frequency prior principle, prior analysis and handling the behavior feature of high frequency in information table, have raised efficiency and the speed of detection, make real time intrusion detection to become possibility ; have at the same time realized anomaly intrusion detection and misuse intrusion detection, have remedied deficiency of unitary detection method

    這種方法的實質是在監控特權進程的正常系統調用基礎上建立正常行為模糊子集a ，用檢測到的實時調用序列建立模糊子集b ，然後用模糊識別方法中的最小距離原則進行檢測。本文的創新點是：通過對特權進程的系統調用及參數序列的研究，提出了基於euclidean距離的入侵檢測方法edid ，不僅能有效降低漏報率和誤報率，而且使實時入侵檢測成為可能；設計有獨立而完整的特徵數據庫，根據被監控程序的類別，分別設計正常行為、異常行為等，提高了檢測系統的強健性和可伸縮性；特徵數據庫按樹型結構存儲，大大節省了存儲空間；在檢測入侵時，實行頻度優先原則，優先分析和處理信息表中的高頻度行為特徵，提高檢測的速度和效率，使實時入侵檢測成為可能；同時實現了異常入侵檢測和誤用入侵檢測，彌補了單一檢測方法的不足。
  4. Regular tree grammar

    正則樹文法
  5. Just as most of the natural language process technologies, the methods of ner have two classes, statistic - based and rule - based. considering of the limitation of using only one of the methods, we combined both of the methods to recognize named entity in this thesis. we combined the maching learning with ner to make the system get the ability of self - learning. we have done research on decision tree of maching learning mainly and designed a recognize model to recognize named entity. this model first used the probability and statistic way to extract the potential named entities, and then some context linguistic language information are employed in the model to recognize the named entities furtherly. as the wrong entites are denied, the recongnize effect has been improved

    鑒于單獨採用基於統計方法或基於規則方法的缺陷，在這篇論文中，採用了統計與規則相結合的方法來識別命名實體。為了使系統具有學習能力，我們把機器學習方法應用於中文命名實體的識別，這里我們著重研究了機器學習中的決策樹方法在中文命名實體識別中的應用;設計了一種基於決策樹的識別模式，該模式首先利用概率統計方法，在文本中盡量完備地識別出潛在的命名實體，然後利用潛在命名實體相關的上下文詞法、語法和語義特徵作為屬性構建決策樹，否定不正確的實體，進一步提高了命名實體識別的準確率。
  6. Abstract : in lenin ' s view, at the crucial historical moment, the most important task is to study. the principle and method of study is to inculcate. it has been proved by the history that inculation is a scientific and practical principle. our party must stick to it and adjust it to the development of our times. in the process of study, we must take a correct attitude and establish a suitable atmosphere ， that is, to integrate theory with practice

    文摘:列寧認為在一個重大歷史關頭，最重要的任務就是學習；學習的原則和方法就是灌輸，歷史已經證明灌輸是科學的、行之有效的原則和方法，我黨必須始終堅持它並隨著時代的發展而發展它；在學習中一定要端正學習態度，樹立正確學風，即理論聯系實際。
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