挖掘器 的英文怎麼說

中文拼音 [wājuéqì]
挖掘器 英文
raiser
  • 挖 : 動詞（用工具或手從物體的表面向里掘取） dig; excavate; scoop
  • 掘 : 動詞（刨; 挖） dig
  • 器 : 名詞1. （器具） implement; utensil; ware 2. （器官） organ 3. （度量; 才能） capacity; talent 4. （姓氏） a surname
  • 挖掘 : excavate; unearth; dig; tap; grub; hoe; grave
  1. Something, such as an ice pick, a toothpick, or a picklock, that is used for picking

    尖頭挖掘工具用來挖掘的工具，如碎冰器、牙簽或撬鎖工具
  2. Major product has crane and mine to use related service and the products such as exavator, the rolling mill of seamless steel tube, board tape rolling mill, the oil membrane bearing of rolling mill, the extruder of nonferrous metal, forging press, burnt stove equipment, pressure vessel, deceleration machine, train axle, train ship, precise casting forging and large scale casting forging

    主要產品有起重機、礦用挖掘機、無縫鋼管軋機、板帶軋機、軋機油膜軸承、有色金屬擠壓機、鍛造壓機、焦爐設備、壓力容器、減速機、火車軸、火車輪、精密鑄鍛件、大型鑄鍛件等產品和相關服務。
  3. 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。
  4. Data mining tools including wizards, editors, query builders, lift chart

    數據挖掘工具（包括向導、編輯器、查詢生成器、提升圖）
  5. Most knowledge discovery or data mining tools and techniques are based on statistics, machine learning, pattern recognition or artificial neural networks

    大多數的知識發現或數據挖掘工具和技術是基於傳統的統計、機器學習、模式識別或人工神經網路。
  6. This section provides information about how to work with the data mining tools in data mining designer in microsoft sql server 2005 analysis services ssas

    本節提供了有關如何使用microsoft sql server 2005 analysis services （ ssas ）的數據挖掘設計器中的數據挖掘工具的信息。
  7. Such products, whose front end are equipped with swing boom device ( as picture shows ), and side - dumping bucket, can work closely to the house corner or edge, very suitable for those operations in narrow working sites, without frequent driving the machines

    這種產品，在機體前部裝備了動臂側移裝置（如右圖） ，配合反轉鏟斗，機器可以近距離的靠近墻角屋邊，非常適合在狹小的空間作業，工作中無須頻繁移動機身，狹窄地帶的作業可以應對自如，從而真正實現了類似墻角等狹窄地帶的直接挖掘工作。
  8. The antiquities and monuments office and the institute of archaeology of the chinese academy of social sciences have been doing excavations on ma wan since 1997. they found human skeletons, ancient tombs, cooking utensils, pots and more from six different dynasties. the earliest discoveries were human skeletons from the late neolithic period, which were named one of the top ten archaeological discoveries in china in 1997

    香港古物古跡辦事處與中國社會科學院考古研究所於1997年在馬灣進行考古挖掘，共發現六個時期的考古遺存，最早為5 ， 000年前新石器時代中期的夾砂陶器碎片，及主要新石器時代晚期的墓葬及馬灣人骨，這些發現被評選為1997年全國十大考古新發現。
  9. Classification is to predict the class label of unknown data with supervisor obtained from experiential data, which is a basic problem in pattern recognitionx machine learning and statistics, as well as in data mining

    分類即通過由經驗數據訓練得到的分類器預測未知數據的歸屬，是模式識別、機器學習、統計分析等領域的一個基本問題，也是一種最常見的數據挖掘任務。
  10. Coding of audio - visual objects - part 2 : visual. iso iec 14496 - 2 mpeg - 4 visual version 1, 1999. 9 lakhani g. optimal huffman coding of dct blocks

    Cavlc熵編碼器採用上下文技術挖掘塊內系數的相關性，獲得了較高的編碼效率，但其設計來源於對4x4塊進行編碼。
  11. First of all, the data system in the article is discussed and the goal function used to optimize the agricultural structure and the inhabitable condition are offered. then according to the characteristic of agricultural data system the logical structure of data bazaar in the data warehouse in the system is designed and the program for drawing out the data for data warehouse are offered. and we use the analysis services in sql server 2000 to design the multi - dimension data volume, which laid the groundwork for the later olap and data mining, we make use of the technique of mining the association rules to discover the rules in the data which are processed in a certain extent

    本文首先探討了該系統中的數據指標體系，給出了相應的優化農業結構使用的目標函數和約束條件；然後根據農業數據的特點，設計了該系統中的數據倉庫中的數據集市的邏輯結構，給出了相應的數據倉庫數據的抽取程序；利用sqlserver2000中的analysisservices設計了數據倉庫的多維數據集，為後面的聯機分析處理和數據挖掘打好了基礎，並利用關聯規則挖掘技術，對經過一定處理之後的數據進行挖掘；最後選擇windows2000作為網路服務器、 sqlserver2000數據倉庫的服務器、利用microsoftvisualinterdev 、結合asp 、 frontpage 、 photoshop等作為系統開發平臺，設計開發基於intranet的農業結構優化決策支持系統，使得決策支持系統在intranet進一步擴展。
  12. Data mining merges many important research fields including machine learning, artificial intelligent, statistics, knowledge - base systems and data visualization, etc. however, current algorithms proposed for date mining of association rules require several passes over the analyzed database

    挖掘重要數據仍然需要配合許多其他領域的技術才能得到完善有效的結果，其中包括機器學習，人工智慧，統計學原理，數據庫系統，數據可視化等。
  13. A machine, such as a bulldozer or backhoe, that is used for digging or pushing earth

    推土機一種可用來挖掘或推動泥土機器，如推土機或挖土機
  14. Through simulation, a control model with controllers for hydraulic shovel is established and relevant control algorithm is developed

    通過模擬，建立了帶有控制器的液壓正鏟挖掘機控制模型，並研究出控制演算法。
  15. Do you want to find out how statistics and machine learning can save you time and effort mining text

    你想知道統計學和機器學習在挖掘文本方面能夠讓你省時省力的原因嗎？
  16. One of them is to improve the structural type of landing gear or the dynamic characteristics of the shock strut, which is the main component of the landing gear system

    從能量的觀點來看，以往的減震設計方案著力于挖掘起落架的緩沖性能潛力、提高起落架緩沖器效率和改進起落裝置的耗能方式等。
  17. A tool or machine used for digging or excavating

    挖掘器，挖掘機用於挖掘或採掘的工具或機器
  18. With im modeling, an sql job can be scheduled to mine the data and update the mining model without needing highly skilled data miners

    使用im modeling ，可以計劃sql作業來挖掘數據和更新挖掘模型，而無需高技術的數據挖掘器。
  19. , in addition, 1 design a data miner by use of vc + +, and it is successful to mine the multiple time series of medical data streams, temperature data streams and air pressure data streams

    我還用vc成功設計了一個挖掘器，並對由醫院門診數據流、氣溫變化數據流、氣壓變化數據流組成的多流時間序列進行了挖掘，證明了twma是可行。
  20. The definition and characteristics of sdm are set forth, and a structure of spatial data mining system including data source, miner and user interface is put forward. the essential processes of sdm are studied and nine types of rules resulting in mining are discussed. there are 17 kinds of spatial data mining approaches researched in this paper and each method ' s characteristics are analyzed

    闡述了空間數據挖掘的定義與特點，提出一種包括數據源、挖掘器、用戶界面三層結構的空間數據挖掘體系結構，闡述空間數據挖掘的基本步驟和從空間數據庫中能發現的九種知識類型，系統研究了17種空間數據挖掘方法，闡述了各種方法的特點和適用范圍，闡述了空間數據挖掘與其它相關學科的區別與聯系，指出空間數據挖掘的主要研究方向，提出開發空間數據挖掘系統的幾條原則。
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