導出數據類型 的英文怎麼說

中文拼音 [dǎochūshǔjùlèixíng]
導出數據類型 英文
derived data type
  • 導 : 動詞1. （引導） lead; guide 2. （傳導） transmit; conduct 3. （開導） instruct; teach; give guidance to
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 據 : 據Ⅰ動詞1 （占據） occupy; seize 2 （憑借; 依靠） rely on; depend on Ⅱ介詞（按照; 依據） according...
  • 類 : Ⅰ名1 （許多相似或相同的事物的綜合; 種類） class; category; kind; type 2 （姓氏） a surname Ⅱ動詞...
  • 導出 : leading-out; derive; derivation
  • 數據 : data; record; information
  • 類型 : type; mold; form; cut類型論 theory of types; 類型語句 [計算機] type statements
  1. For this purpos, from the point of the log geology, aimed at the actuality of the current fractured reservoir log geology interpretation and evaluation, based on synthetical analysis of the current domestic and foreign fruit of fractal dimension investigation of reservoir fracture, using the method and technique of fractal dimension, through the further discussion of the fractal dimension characteristics of m index and n index in the log interpretation archie model in a sample way and through the theoretic reasoning to the fractal dimension dfa and m index of fractured reservoir interval ' s log curve, according to the geophysical signification of the fractal dimension dfa of fractured reservoir interval ' s log curve shape : the more complicated the change of the curve shape is, the larger the its dfa value is, then the more complicated space structure of fracture and pore, then the higher value of m index of space structure of fracture and pore, and so on, the text propounds an improved method, based on box dimension, of covering log curve with scale grid, and by programming computes the dfa and its m index value of fractured reservoir interval ' s log curve, for instance, ac and rt curve, ect, then further puts this technique into application investigation, and makes analysis of application effects in the reservoirs located in l area of qx oil field from three aspects : 1. the dfa and its m index value of fractured reservoir interval ' s log curve, for instance, ac and rt curve, ect, which are derived from computing, is used to identify reservoir type by crossplotting m index with the product df _ acrt of fractal dimension of acoustical wave log curve and restivity log curve and by experiential discriminance plate of reservoir type in l area of qx oil field

    因此，對該區裂縫性儲集層的類型識別、孔滲特徵的測井地質解釋以及儲層裂縫的發育和分佈規律進行深入的研究便成為本文研究的出發點。為此，本文從測井地質的角度，針對當前裂縫性儲層測井地質解釋與評價的現狀，在綜合分析當前國內外儲層裂縫的分形分維研究成果的基礎上，利用分形分維方法和技術，通過對archie測井解釋模型中的m指數、 n指數的分形分維特性的深入淺出的論述以及裂縫性儲層段測井曲線分維d _ （ fa ）與m指數的理論推導，根據裂縫性儲層測井曲線形態分維值的地球物理意義? ?曲線變化越復雜，則其分維值d _ （ fa ）越大、裂縫孔隙空間結構越復雜、裂縫孔隙空間結構指數m值越高等特徵，提出了改進的基於盒維數的測井曲線網格覆蓋法，編程計算了裂縫性儲層段常規測井曲線（如聲波和電阻率曲線）上分形分維值及其m指數值，進而從以下三個方面對qx油田l區塊的裂縫油藏進行應用研究，效果十分理想： 1將計算得到的可變的m指數與聲波和電阻率分維之積df _ acrt進行交繪，採用儲層分維值分類技術統計分析這些參數變化的規律，並結合qx油田l區塊儲層類型經驗判別圖版，從而實現qx油田l區塊下白堊統的裂縫性儲層的類型識別。
  2. And understanding and studying the spectral features and variation rules of geo - targets in the experimental area, raising that it is the basis of geo - targets information collection with imaging spectrometer data to understand spectral features and variation rules of geo - targets, realizing that in a great extent spectral - integrated - form - based classification method can remove the phenomenon of " different spectrum with same objects " resulted from reflection ratio curve translation because of the angle change among sensor, targets and observation direction, and the average and variance images can be introduced to solve the problem of two kinds of geo - target with similar spectral forms and much different values of whole reflection ratio. it is suggested that " red edge " range bands of vegetation, which has close relationship with vegetation cover and biomass, is the main characteristic bands and important basis for careful vegetation classification and quantitative retrieval, and pixel - based derivative spectral analysis is very useful for removing the effects of soil background values and quantitatively retrieving vegetation biomass and cover. the remote sense quantitative retrieval model is developed for main appraisable factors of desertification monitoring assessment with imaging spectrometer data and then the applicability of model is analyzed

    研究結果如下：首先針對荒漠化地區的地物特徵，對高光譜數據不同波段的數據質量、波段組合進行了評價，提出了適用於荒漠化監測的基本波段選擇集；初步了解和掌握了研究地區的地物光譜特性及變異規律，進一步明確了掌握地物光譜特徵和變異規律是用成像光譜儀數據提取地物信息的基礎；發現了基於光譜整體形狀的分類方法在很大程度上能夠消除由於傳感器、地物目標觀測方向之間的角度變化引起的反射率曲線整體平移的「同物異譜」現象，對于譜形相似而整體反射率的值相差較大的兩類地物，通過引入均值和方差圖像參與分類得到解決；研究還表明在植被「紅邊」范圍內的波段是進行荒漠化監測的主要特徵波段，這些波段與植被生物量和蓋度都有密切的關系，是開展精細植被分類研究和植被定量反演的重要基礎；像元的導數光譜分析可以消除土壤背景的影響，是進行植被生物量和蓋度定量反演的有力工具；建立了荒漠化監測主要評價因子的定量反演模型，並分析了模型的適用性。
  3. The thesis is based on income question, forest coverage rate and grop production. to beging with, date envelopment analysis is proved that it can be applicated into grain for green in shan - bei district, and then in view of the fact, seven esential factors which have influence on the project are found out : expense of dam, expense of crop, expense of cash tree, expense of defense tree, other economic crop, expense of grass and graziery ; and the output factors include : income of gdp, pure income per captia, the area of decreasing land loss, graziery income, crop production, income of tree, the totle income of economic crop. after the date of each facts are puted into dea model, unefficiencial decision making units ( dmu ) found. the data that are got through adjusting unefficiencial dmus dy dea can offer guide in shanbei district upgrading of an industrial structure. at the same time, taking into account some possible problems in or after grain for green in shan - bei district, the thesis bring out some propesal to improve the circ umstance, enhance the life level and put the relation of population, resource and circumstance into a healthy orbit

    因此，加快退耕還林還草，調整土地利用結構和產業結構，已成為實現山川秀美工程和可持續發展戰略的必經之路。論文以解決陜北地區的收入問題，植被問題以及糧食產量問題為出發點，首先從理論上分析了包絡分析方法在陜北地區退耕還林（草）中運用的可行性，然後結合陜北地區目前的實際情況，綜合分析出影響陜北地區退耕還林（草）的關鍵的七個因素作為輸入指標：水利水保設施投入，農作物投入，經濟林種支出，防護林支出，其它經濟作物，草類支出，畜牧業投入；以退耕還林所要解決的最終問題作為輸出指標： gdp收入、農民人均純收入、水土流失減少量、牧業總產值、糧食產量、林業總產值、其他經濟作物總產值。將各指標所對應的數據代入模型后，通過分析求解得出非有效的決策單元，再運用包絡分析方法的一些基本原理對非有效的決策單元進行調整，由此所得的數據對陜北地區的實際投入具有很好的指導意義。
  4. Thirdly, an ideal satellite orbit is simulated, and on this foundation, we establish some typical simulation and testing circumstances. lastly, after simulation in the simulation and testing circumstances, we compare the performance of ukf and ekf. and then, based on the outdoor experiment of the vehicle, an analysis and contrast between our simulation results and commercial data process software is carried out, and the conclusion is obtained

    首先在第三章提出的目標運動模型的基礎上建立了系統狀態方程;其次簡要分析了衛星導航系統中的各類誤差，建立了基於偽距觀測量的系統觀測模型;第四節利用yuma格式歷書數據模擬了未受攝動影響的衛星軌道，並在此基礎上建立了幾種典型的動態模擬測試環境;第五節為模擬分析和比較，先對ukf演算法和ekf演算法在動態模擬測試環境中進行了模擬比較，然後針對外場試驗，對非線性濾波獲得的定位結果與商業軟體進行了分析比較，並得出結論。
  5. To cause an exception when integer arithmetic overflows the bounds of the data type ; otherwise,

    如果在整數演算法溢出數據類型界限時導致異常，則為
  6. Specifies whether integer arithmetic that overflows the bounds of the data type causes an exception at run time

    指定溢出數據類型邊界的整數演算法是否會在運行時導致異常。
  7. Specifies whether integer arithmetic that overflows the bounds of the data type will cause an exception at run time

    指定溢出數據類型邊界的整數演算法是否將在運行時導致異常。
  8. Keywords and results in a value outside the range of the data type will cause an exception at run time

    關鍵字范圍內並且產生的值超出數據類型範圍的整數演算法語句將在運行時導致異常。
  9. Keywords and that results in a value outside the range of the data type will cause a run - time exception

    關鍵字的范圍內、並且產生的值超出數據類型範圍的整數演算法語句是否將導致運行時異常。
  10. L3ased on the organization rules of internet data, the distribution laws of hyperlinks and the name rules of url, a algorithm of tvm rebuilding is established, and satisfactory experiment results are obtained by applying this algorithm. furthermore, efforts are made by applying of tvm on browse navigation, web page classification and reinforcement learning algorithm

    結合網際網路資源的構建規則、鏈接分佈規律和url命名規則，論文提出了樹藤共生數據模型的重建演算法，實驗結果驗證了樹藤共生模型的有效性與合理性，在此基礎上初步討論了樹藤共生模型在瀏覽導航、網頁分類和reinforcementlearning演算法中的應用。
  11. 5. under data to import export, select the types of data you want to export

    5 .在「導入導出數據」選項組中，選擇要導出的數據類型。
  12. 5. under data to import export, select the check boxes for the types of data you want to import, and then select any options you want ( if options are available )

    5 .在「導入導出數據」選項組中，選取代表導入數據類型的選項框，然後選取所需的選項（如果選項可用） 。
  13. Derived data types are defined in terms of existing data types

    導出數據類型根據現有數據類型定義。
  14. In addition, there is a hierarchy of derived data types created with pointers, arrays, structures and unions

    另外，還有從指針，數據，結構和聯合而產生的導出數據類型層次
  15. The following example defines a user - derived data type that creates a representation of postal codes in the united states, limited to strings that match a specific regular expression

    以下示例定義一個用戶導出的數據類型，該數據類型創建美國郵政編碼的表示形式，該表示形式被限制為與特定正則表達式匹配的字元串。
  16. This change in behavior may cause data - type casting errors in your applications

    此行為更改可能導致在您的應用程序中出現數據類型轉換錯誤。
  17. Variables containing integers are multiplied, an overflow condition causes the data type of the result to be changed to

    變量相乘，則溢出條件導致結果數據類型更改為
  18. 6. click the tab for the type of data you want to export

    6 .單擊含有導出數據類型的選項卡。
  19. To bulk export or import sqlxml data, use one of the following data types

    若要大容量導出或導入sqlxml數據，請使用下列數據類型之一：
  20. For example, integer is a special case derived from the decimal data type

    例如， integer是從decimal數據類型導出的特殊情況。
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