tree scale 中文意思是什麼

tree scale 解釋
立木檢尺
  • tree : n 特里〈姓氏〉。n 1 樹〈主要指喬木，也可指較大的灌木〉。 ★玫瑰可以稱為 bush 也可以稱為 tree 2 木...
  • scale : n 1 （尺、秤等上刻劃的）分度，度數，標，標度，刻度；尺寸；尺，尺度。2 【音樂】（標度）音階；音列...
  1. The results show that the insect community in apricot tree stand have 6 orders, 25 families and 55 species, the dominant species concentrate on the group of scale insect, aphids, budworms and common lackey moth, gypsy moth

    結果表明，杏樹林害蟲群落共有6目25科55種，優勢種集中於蚧蟲、蚜蟲、卷葉蛾等類群及天幕毛蟲、舞毒蛾等。
  2. Lianyungang huisen wooden products co., ltd lianyungang boai wooden products co., ltd establish in 1990 is a sino - foreign joint ventures that specializes in producing and selling tung tree plank material and all kinds of woodwork. there are more than 200 staff now in the company, and the scale of the assets has already grown from a million

    連雲港匯森木製品有限公司-首頁連雲港匯森木製品有限公司成立於1990年，是一家專業從事桐木板材及各類木製品加工銷售的中外合資企業。
  3. According to fire statistical yearbook of china, combining event tree analysis and fault tree analysis methods, the reason of fire in large - scale public places was analyzed with 76 cases happening in china during 1998 - 2004 and the figure of causality analysis for fire accident in large - scale public places was presented

    摘要選擇1998 - 2004年《中國火災統計年鑒》中大型公共場所特大火災事故的案例76起，結合事件樹、故障樹分析方法，分析了我國大型公共場所火災事故的原因，得出了大型公共場所火災事故因果分析圖。
  4. Firstly, for the errors of text ’ character and word, utilizing neighborship of character or word, check character and word errors by character string co - occurrence probability. secondly, for the errors of syntax of text, according to statistic and analysis of a large - scale contemporary chinese corpus, recognize the predicate focus word and the others sentence ingredient, check the syntax errors. thirdly, for the errors of text ’ semanteme, establishing semantic dependency relationship tree based on hownet knowledge, presents a method that based on semantic dependency relationship analysis to compute sentence similarity, check the semantic errors

    對于文本字詞錯誤的檢查，本文主要利用了字詞二元接續關系，根據同現概率檢查文本字詞錯誤;對于文本語法錯誤的檢查，本文利用教研室已有的一個大規模語料庫，通過對語料庫進行統計分析，獲得語法查錯所需要的語言規律和知識，利用謂語中心詞識別和其他句子成分識別的方法，檢查文本語法結構上的錯誤;對于文本語義錯誤的檢查，本文主要利用知網知識得到語義依存樹，通過對句子的有效搭配對的相似度計算檢查語義錯誤。
  5. According to climate condition, soil condition and afforesting tree species and water requirement rule of forest and grass, the paper analysed and calculated the slope length for collecting stream of three site preparation methods which were reverse - slope terrace, level trench and scale - hole, and the slope length for collecting stream of deferent gradients and planting bandwidths were acquired

    摘要根據寧南山區的氣候、土壤、造林樹種等，按照林草植被建設的水分需求規律，對不同水上流失區的反坡梯田、水平溝、魚鱗坑3種整地方式的集流坡面長度進行分析與推算，計算出了不同坡度、植樹帶寬度下的集流坡長。
  6. In this paper, based on the comprehension of the current research situation, we mainly discussed the problem how to adapt the decision tree in common use to the large scale dataset

    針對大數據量、多屬性值的情況，對決策樹分類器所需屬性信息的求解提出了新的改進演算法。
  7. At last, aimed at the stochastic system in which the uniform target at the same periods is observed by sensors possessing different characters at multiple scales, we present a method of the multiscale representation based on unregular tree. we develop the multiscale stochastic model based on scale sequence at odd - and even - numbered scale and on different order trees

    3 、針對不同尺度上具有不同特性的傳感器在相同周期內對同一目標觀測的動態系統，給出了一類系統基於不規則樹結構的多尺度表示方法，並建立了基於尺度序列奇偶相間階樹、不同階樹的多尺度動態模型。
  8. After analyzing the performance of the coherent tree - structured optimal joint detection ( tsojd ) for qpsk signals and deriving a non - coherent multi - user weight / phase estimator, the dissertation proposes a low complexity non - coherent multi - user weight / phase optimal joint detection algorithm. besides, the dissertation proposes a partial coherent multi - user / iv weight / phase optimal joint detection algorithm and some useful conclusions are obtained in comparison experiments. 4. in the research on the diversity techniques for fast fading multi - path channels, the dissertation proposes a time - scale rake receiver, and analyzes its performance with the conception of auto - wavelet - transform ( awt ) and time - - scale resolution

    提出了過飽和低復雜度qpsk信號的樹型最佳聯合檢測演算法，並分析了相應最佳接收機的性能及相位偏差對性能的影響等問題；考慮了載波相位和多用戶信碼的聯合檢測問題，通過理論推導給出了過飽和多址系統中多用戶信碼/相位聯合估計子，提出了低復雜度非相干多用戶信碼/相位最佳聯合檢測演算法，並分析了此非相干最佳接收機的誤碼性能及相位提取誤差等有關問題；提出了部分相干多用戶信碼/相位最佳聯合檢測演算法，通過計算機模擬分析了該接收機的誤碼性能及相位提取誤差等有關問題，並與相干、非相干解調兩種情況作了比較，得出了一些有益的結論。
  9. In the thesis, compatible data storage fashion and data structure for a large - scale 3d scene is discussed firstly. then the process technique for dem, spatial object geometry data, texture image data and scene metadata are discussed in turn. finally, a new nested index, scene pyramid + sub scene regular dividing quad - tree is brought forward, which consumes less memory and reduces the complexity of spatial data query

    本文首先確定了適用於大規模三維場景可視化的數據結構和存儲方式；然後分別針對dem數據、地物模型數據、紋理影像數據及場景元數據論述了分割與lod處理的方法；最後給出場景金字塔與子場景規則分割四叉樹兩套索引的建立以及具體應用策略，該索引機制減少了內存消耗，降低了數據查找的復雜性。
  10. Find out how to use tabular tree, canvas, styled text, slider, spinner, scale and other controls, as well as stack layouts. a gentle introduction to swt and jface includes basic articles on developing applications using the standard widget toolkit and jface libraries that come with the base eclipse software development kit

    這一期將向您展示如何使用表樹（ tabular tree ） 、畫布、樣式文本、滑塊、微調控制項（ spinner ） 、刻度和其他控制項，以及如何使用一些堆棧布局。
  11. This method has the advantage that redundant information at multi - scale and in multi - direction can be fully used by means of shift - invariant wavelet decomposition and ringing from the final merged image reconstructed by mallat algorithm can be overcome. color space transforms are studied based on gray texture analysis. a new representation for color texture is proposed by effectively merging both the texture and color information in feature - level based on incomplete tree - structured wavelet decomposition ( ictswd ), which can

    它更全面、準確地刻畫出彩色紋理的顏色特徵、紋理特徵及顏色與紋理的空間相關特徵；同時在特徵級融合基礎上，針對3種不同的小波分解，研究了彩色紋理圖像的分類性能及抗噪能力比較，得出不完全樹型小波分解基礎上的特徵級融合及分類是我們的首選方案。
  12. I have introduced many more swt controls, such as tree for creating tabular trees ; canvas for drawing pictures ; slider, scale, and spinner for entering numeric values ; progressbar for displaying progress ; styledtext for entry of text with attributes ; and popuplist for simple dynamic menus

    系列的第三期中，我介紹了更多的swt控制項，比如用於創建表樹的tree ；用於繪圖的canvas ；用於輸入數字值的slider 、 scale和spinner ；用於顯示進度的progressbar ；用於輸入具有某些屬性的文本的styledtext ；以及用於簡單動態菜單的popuplist 。
  13. First, using the scale - invariant property of multiscale model, i. e. markovian among scales, a method of qth - order tree - based for multiscale representation of a class of 1 - d stochastic process is presented. the multiscale stochastic model is established. the representation forms of parameter matrices, such as, the state transition matrix, the disturbance matrix, the initial state and the corresponding covariance matrix are deduced in detail

    本文在已有工作的基礎上，開展了以下幾個方面的研究工作： 1 、根據多尺度模型尺度不變性，即利用尺度間的markov性，給出了一類1 - d隨機過程基於一般q階樹的多尺度表示方法，建立了相應的多尺度動態模型，詳細推導了多尺度模型中的狀態轉移陣、擾動陣、初始狀態和相應的協方差陣，並通過計算機模擬給出了不同階樹的多尺度采樣路徑。
  14. The proposed two layered wavelet tree structure can decompose the traffic data into each time scale and consume less space than traditional wavelet structure. an online single pass algorithm designed to detect burst can flexibly adjust the time scale of aimed bursts and the process time is not influenced by the threshold settings

    提出的兩層小波樹摘要數據結構將網路流量層次性地分解至各個時間尺度，相比普通小波摘要結構耗用空間更少，設計的在線單遍掃描演算法對突發異常時間尺度的檢測范圍能夠靈活調整，處理時間不受閾值設定的影響。
  15. This paper first illustrated some typical algorithms for large dataset, then gave off a processing diagram in common use second, for the dataset with large quantity and many attributes, we renovated the calculation method of the attribute ' s statistic information, giving off a ameliorated algorithm this thesis consists of five sections chapter one depicts the background knowledge and illustrates the position of data mining among many concepts also here is the data mining ' s category chapter two describes the thought of classification data mining technique, puts forward the construction and pruning algorithms of decision tree classifier chapter three discusses the problems of adapting data mining technique with large scale dataset, and demonstrates some feasible process stepso also here we touches upon the combination r - dbms data warehouse chapter four is the design of the program and some result chapter five gives the annotation the conclusion, and the arrangement of future research

    本論文的組織結構為：第一章為引言，作背景知識介紹，摘要闡述了數據挖掘在企業知識管理、泱策支持中的定位，以及數據挖掘的結構、分類；第二章講述了分類數據挖掘的思路，重點講解了泱策樹分類器的構建、修剪，第三章針對大規模數據對數據挖掘技術的影響做了講解，提出了可採取的相應的處理手段，以及與關系數據庫、數據倉庫結合的問題；第四章給出了論文程序的框架、流程設計，以及幾個關鍵問題的設計；第五章對提出的設計進行簡要的評述，做論文總結，並對進一步的研究進行了規劃。
  16. Data warehouse is a hot research area in 90s its main motif is to provide the decision - maker a powerful tool : gathering the data in pure consistent, relevant pattern, and making use of the data in managing analyzing, data - mining purposec that means that the decision - maker can use the tool to understand, grasp the situation of the business from different directions and forecast the future of it when using data warehouse, the processing speed determines data warehouse ' s practicability and processing ability the hoc ( highway decision center ) system realized before solves some key problems about intermediate scale data, mainly concentrating data warehouse performance coefficient when using hdc in large scale data, it encountered processing speed problem then the settlement of this problem becomes a major research point so, based on the former research achievements, the present task is to construct the renowned data warehouse architecture and its relevant algorithms, then adapts the system to the large scale dataset with data mining functions c this paper is a part of the research in order to construct the powerful system, a key problem is to cope with the processing - speed problem and the data space problem, etc, - caused by the large scale dataset and magnificent dataset this is also the core in the present data mining research this paper ' s motive is to design and realize a decision - tree classifier in the data warehouse system for large - scale dataset

    大型數據倉庫的處理速度問題目前是制約其推廣應用的關鍵所在，也是這一領域的一個重要研究課題，也正是我們當前工作的重點：在前期研究工作的基礎上圍繞提高大型數據倉庫處理速度問題，建立改進的數據倉庫系統模型和相關演算法，開發出面向中級以上企事業單位的、具有數據挖掘和分析能力的大型數據倉庫系統。建立大型數據倉庫所面臨的關鍵問題，是如何妥善解決實際業務數據的大規模、海量特徵所帶來的處理速度和空間等問題，這也是當前挖掘技術研究必然面對的核心問題。本研究的目的是設計並實現大型數據倉庫系統中的分類數據挖掘工具? ?決策樹分類器，主要工作是在綜合了解現有決策樹分類演算法的研究情況的前提下，對決策樹演算法適應大規模數據集的問題進行探討，力求設計出能較好地適應大規模數據的分類器演算法。
  17. Based on v - reactive index tree and perspective query, we propose a mechanism of integrating lod and generalization at multi - scale

    以v - reactive樹索引結構和透視查詢為基礎，本文提出了一種細節層次技術和多比例尺綜合技術的集成實現機制。
  18. Individual trees and groups of trees to create tree roofs bring the buildings down to scale

    一棵棵的樹木和一組組的樹木形成的樹冠？ ？ ？
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