掘進方法 的英文怎麼說

中文拼音 [juéjìnfāngfǎ]
掘進方法 英文
driving method
  • 掘 : 動詞（刨; 挖） dig
  • 進 : 進構詞成分。
  • 方 : Ⅰ名詞1 （方形; 方體） square 2 [數學] （乘方） involution; power 3 （方向） direction 4 （方面） ...
  • 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...
  • 方法 : method; means; way; technique; process; procedure; plan; device; recipe; fashion; tool; maneuver
  1. The heritages of the revolutionary army of eight road shannxi office was annunciated national preservation denomination in 1988. to develop xi ' an qixianzhuang district and exhibit this district historical, cultural and architectural charming through historic district conservation and regeneration

    本文基於對現狀的深入調查，確立七賢莊歷史街區，提出保護的對策，發掘地區資源潛力，尋求發展契機，進而探討七賢莊地區保護、更新與利用的方法和途經。
  2. In this article i do a lot of analysis for the data formed in the mobile samples with the basis of the research of data mining, mainly including : it analyses and summarizes the theory and technology of data, especially the further discussion of the data mining algorithm for time sequential. it introduces the course of the test curve of the power transmission system of electric mobile and discusses the technology and methods of pretreatment for curve data. it studies and develops the antitype system for the analyses of test curve data of the power transmission system of electric mobile with the mining and analysis of test curve data of the power transmission system of electric mobile and the basis of the algorithm of time sequential

    本文以目前數據挖掘的研究為基礎，對汽車樣品試驗中形成的大量數據進行分析處理，主要研究內容包括:分析和綜述了數據挖掘理論基礎和相關技術，特別是對時間序列挖掘演算法進行了深入的討論介紹了電動汽車動力傳動系統檢測曲線生成的基本過程，討論了曲線數據的預處理技術與方法以時間序列挖掘演算法為基礎，對電動汽車動力傳動系統檢測曲線數據進行了挖掘與分析，研究並開發了電動汽車動力傳動系統檢測曲線數據分析原型系統。
  3. This paper recurred to the basic theory of rough set of data mining and under the direction of the frame of intelligent decision, the main theories include i ) the different methods of data mining on the base of rough set are used to deal with typical decision system namely consistent decision system and inconsistent decision system in order to carry through data reduction and rule distilment ; ii ) in the environment of dynamic increment database, the methods of data reduction to deal with the original data and increment data are discussed in the consistent and inconsistent decision system ; iii ) the method of data mining of rough set is analysized to treat with the attributes with priority ; iv ) on the base of basic rough set theory, the data analysis methods of amalgamation of rough set theory ; v ) and also the pre - disposal method to database is analysize

    本文從系統工程進行決策分析的角度出發，藉助數據挖掘技術中粗糙集的基本理論，在智能決策框架的指導下，研究了基於數據挖掘的智能決策理論及方法。主要理論包括：如何利用粗糙集對典型的決策系統即相容性決策系統和不相容性決策系統運用不同的數據挖掘方法進行有效的數據約減和規則提取；在增量動態的數據庫環境下討論了在典型決策系統中對原始數據和增量數據進行數據約減的方法；分析了帶有優先權屬性的粗糙集數據挖掘方法；以基本粗糙集為基礎探討了粗糙集擴展模型的數據分析方法；研究了粗糙集數據預處理方法。
  4. There are many factors which contribute to the uneven surface of precast paving slabs. this may be due to the heavy loading caused by illegal parking of vehicles on the footway ; improper construction methods and substandard reinstatement works after road excavation

    （二）導致預制鋪路磚表面凹凸不平的因素很多，包括在行人路上違例泊車，以致路面負荷過重；鋪砌方法不當；以及掘路后進行的修復工程不合標準等。
  5. In the post - process, uses the microsoft medias technical to design cartoon display mode, it raises cartoon speed and saves disc space, it can produce majority prevailing medias form. in interpolation, introduced dsi method, which improve the interpolation method of isoline, raise algorithm speed and efficiency, satisfy the real - time quality request. on the basis of scanning line algorithm, use opengl smooth interpolate method to improve the implementati

    在後處理過程中，引進了dsi插值方法，改進了以往等值線插值，提高了演算法速度和效率，滿足了實時性要求，在掃描線演算法的基礎上，引進了opm沁l插值方法，改進了雲圖實現方法，提高了圖形顯示精度，在動畫格式上，我們可以根掘自己需要實現不同精度的不同壓縮格式動畫文件，提高了后處理顯示應用場合，改變了以往動畫格式單一的形式。
  6. In this paper, we study focus on building intrusion detection model based the technique of data mining ( dm ). firstly, the paper designed a scheme to modeling intrusion detection based dm and bright forward the idea of descriptive model and classified model to intrusion detection. secondly, we designed and implemented a net data collection system with high performance and a scheme to pretreat net data. thirdly, after studying the algorithms to mine association rule and sequence rule in net data, we extended and improved the algorithms according to the characteristic of net data and the field knowledge of intrusion detection

    首先設計了基於數據挖掘技術的入侵檢測建模方案，提出使用該技術建立入侵檢測描述性模型和分類模型的思想，並用分類判決樹建立了入侵檢測分類模型；其次，設計和實現了一個高性能的網路數據採集系統和網路數據預處理的方案；然後，在對關聯規則挖掘和序列規則挖掘演算法進行研究的基礎上，結合網路數據的特性和入侵檢測領域的知識對演算法進行了擴展和改進，挖掘出了網路數據的關聯模式和序列模式；最後，研究了描述性模式的應用，並設計出基於模式匹配的入侵檢測引擎，該引擎具有誤用檢測和異常檢測功能。
  7. These researches will help us to discover changing or developing principle of things, support to decision - making, etc. the thesis addresses several key technical problems of pattern mining and its search based similarity in time series, which covers feature patterns and relationship patterns mining, pattern search based similarity in time series and stream time series and issues concerning application system implementation oriented to analysis. major contributions of this thesis include : 1. research of mining feature patterns in time series a novel method is proposed to discovery frequent pattern from time series

    本文在分析時間序列特點和實際應用需求的基礎上，針對時間序列的挖掘與相似性查找一些關鍵技術進行了研究，具體包括特徵模式挖掘、多序列關聯模式挖掘、相似性模式查找等方面，所做的工作和取得的創新成果體現在以下三個方面： 1 ）時間序列特徵模式挖掘研究首次提出了一種基於互關聯后繼樹模型的時序特徵模式挖掘方法。
  8. These researches will help us to discover changing or developing principle of things, support to decision - making, etc. the thesis addresses several key technical problems of pattern mining and its search based similarity in time series, which covers feature patterns and relationship patterns mining, pattern search based on similarity in time series and stream time series and issues concerning application system implementation oriented to analysis. major contributions of this thesis include : 1. research of mining feature patterns in time series a novel method is proposed to discovery frequent pattern from time series

    本文在分析時間序列特點和實際應用需求的基礎上，針對時間序列的挖掘與相似性查找一些關鍵技術進行了研究，具體包括特徵模式挖掘、多序列關聯模式挖掘、相似性模式查找，在線相似性查找以及最終的分析應用系統開發等方面，所做的工作和取得的創新成果體現在以下五個方面： 1 ）時間序列特徵模式挖掘研究首次提出了一種基於互關聯后繼樹模型的時序特徵模式挖掘方法。
  9. And then it emphasizes the structure model and the process of data warehouse, the ways of extracting data from operation model and guiding into the data warehouse, the realization techniques of dealing with data synthetically, as well as the mechanism of how to superadd the upper data into the data warehouse, and introduces the realization techniques of the mining model of association rule, the apriori and the fp - growth arithmetic particularly

    接著重點討論了數據倉庫的構建模型和構建過程，從操作型環境抽取數據並導入數據倉庫方法，對數據進行綜合處理的實現技術，以及後期數據如何追加到數據倉庫的機制，並詳細介紹了關聯規則挖掘模型， apriori演算法，和fp - growth演算法的實現技術。
  10. During the procedure of system design and implementation, the author has made some innovative efforts such as : ( d establishing the user interest orientated model, the model receiving user interests continuously and conjecturing user interests by interaction with the user, accumulating user preferences in information demand, thereby achieving self - adaptive retrieval, ? roviding a feedback method which is based on the human - machine interaction, summarizing the user operations on the interface of result presentation, and designing an algorithm for capturing user operation behaviors, by which the changes in user interests and preferences can be learned potentially, ? ffering a method for user interest mining which can extract subjects of information confirmed by user, thereby conjecturing or predicting different kinds of expressions of the same interest or extracting the new interests or unexpressed interests, ? roposing a solution of personalized internet information retrieval based on the user interests in accordance with the above - mentioned work, the solution having very strong feasibility and practicality with taking user interest model as center, employing machine learning ( active learning and passive learning ) and data mining as tools, and being assisted with network robot,

    Piirs系統分析與設計過程中所做的創新性的嘗試主要有以下幾個方面：實現了基於用戶興趣的用戶模型，該模型通過與用戶的交互（主動交互和被動交互） ，不斷地接收用戶的興趣和推測用戶的興趣，積累用戶信息需求的偏好，實現自適應的檢索；提供了一種基於人機交互的反饋方法，對用戶在結果呈現界面上的操作進行了歸納總結，設計了用戶操作捕獲演算法， 「隱性地」學習用戶興趣和偏好的變化；提供了一種用戶需求挖掘的方法，對用戶已確定的信息做進一步的主題挖掘，由此推測或預測用戶同一興趣的不同表述方式或者挖掘出用戶新的或未表達出來的興趣；在上述工作基礎上提出了一套完整的基於用戶興趣的個性化網路信息檢索的解決方案，該方案以用戶興趣模型為中心，以機器學習（主動學習和被動學習）和數據挖掘為手段，輔以網路機器人，具有很強的可行性和實用性。
  11. This article canvass the status quo of the archive ' s automatization administration and the develop status of data mining, and discusses how to combine the data mining technology with the archive work from data cleaning means, data mining arithmetic, and data storage etc. and this article put forword a data mining syst em design idea. this article ' s structure is : first, in allusion to the archive data status quo, the pretreatment work of archive data that include data quality evaluation, data cleaning and data commut - ation process is bringed forword ; second, in the process of realizating data mining, the article discusses conception description, association rule, class three familiar means of applicating data mining, also put inforword the concrete arithmetic and the program design chart, and discusses the range and the foreground of all kinds of arithmetic when they are applicated in the archive ; third, the base of so you say, this article also discusses the importance of the archice applicate data storage and the means of realizing it ; last, the article discusses seval important problem of realizing an archive data mining system from data, diversity, arithmetic multiformity, mining result variety and the data pretreatment visibility, mining object descriptive visibility, mining process visibility, mining result visibil ity, user demand description and problem defining etc aspect. the article ' s core is how to import data mining technology in the archive work

    本文評述了檔案自動化管理現狀和數據挖掘技術的發展狀況，從數據清洗方法、數據挖掘演算法、數據倉庫的建立等方面論述了如何將數據挖掘技術與檔案工作相結合的具體思路，並提出了一個數據挖掘系統的設計思想。文章首先，針對檔案數據的現狀，提出了應對檔案數據進行預處理工作，包括數據質量評估、數據清理、數據變換和歸約等過程；其次，在具體實現數據挖掘過程中，本文結合檔案數據的特點探討了概念描述、關聯規則、分類等三種常見挖掘形式的實現方法，提出了具體的實現演算法和程序設計框圖，並論述了各種演算法在檔案工作中的應用范圍及前景；第三，在上述基礎上，又論述數據倉庫在檔案數據挖掘中的重要性並提出了實現一個檔案數據倉庫的方法；最後，從處理數據的多樣性、演算法的多樣性、挖掘結果的多樣性、數據預處理可視化、挖掘對象描述的可視化、挖掘過程可視化、結果顯示可視化、用戶需求的描述及問題定義等幾方面討論了實現一個檔案數據挖掘系統的幾個重點問題。全文以探討如何將數據挖掘技術引入到具體的檔案工作實踐中為核心。
  12. The same backfilling materials should be used unless otherwise agreed with the electricity supplier. if in doubt, the contractor must seek advice from clp or hec on the specific requirements for backfilling of excavation including the thickness of the bedding layer, type of materials to be used and method of compaction, etc

    承建商如有任何疑問，必須就完成挖掘后進行回填工作的特定規格，包括墊層厚度、使用物料的種類及壓縮方法等資料，徵詢中華電力有限公司（中電）或香港電燈有限公司（港燈）的意見。
  13. Subsequently, clustering analysis in data mining is disserted, involving the methods and characteristics of clustering used in data mining and the methods for evaluating the clustering results, with emphasis on clustering the data with categorical attributes. k - modes clustering algorithm and its variations are introduced with their advantages and disadvantages

    在此基礎上對數挖掘中的聚類分析作以詳細地論述，總結了數挖掘中聚類分析的方法和特點，並對聚類結果的評價方法進行了討論，重點討論了分類屬性數據聚類，具體研究了k - modes演算法及其變形，並指出了它們的優缺點。
  14. The main methods for the construction of tunnel are usually both the traditional drilling and blasting method and the modem method of tbm, which have their own applicable conditions concerned

    摘要隧洞施工的主要施工方法是傳統的鉆爆法和現代的掘進機法，各個方法均有其不同的適用條件。
  15. This paper has researched definition, prototype and technique of video data mining and the high structure mining of video. the mostly work is as follow. 1

    本論文對視頻挖掘的概念、一般系統結構及視頻的高層結構挖掘的方法進行了研究，主要工作如下： 1
  16. The contributions of this paper are : to advance a method to obtain the users " behavior information on client ; to advance a new method to mine the data of the users " browsing behavior on client ;

    本論文的貢獻在於：提出了獲取客戶端用戶訪問行為數據的方法；提出了對客戶端用戶訪問行為數據進行挖掘的方法：
  17. In this thesis, the thorough study of time serial model, classification rule and association rule is made

    本文對時間序列模式、分類規則和關聯規則挖掘的方法進行了深入的研究。
  18. The aim is to analyze the loan risk through a method of data mining, with which the risk rank of loan can be forecasted, so as to help banks when they have to deal with real estate customers

    旨在通過數據挖掘的方法對房地產行業的貸款客戶進行貸款的風險評價，以便預測貸款的風險等級。
  19. In this paper we study the key technology to the implementation of genetic algorithm and put forward a particular scheme of how to determine the parameters and operations when classify, including individual encoding, fitness function design, ga operators design, etc. thus, we give the method of how to mining classification rules using ga in theory

    遺傳演算法是一種基於生物進化論和分子遺傳學的全局隨機搜索演算法。本論文對應用遺傳演算法實現分類規則挖掘的關鍵技術進行了分析，包括個體編碼、適應度函數的設計、遺傳操作運算元的設計等，從理論上闡述了基於遺傳演算法的分類規則挖掘的方法。
  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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