方法分類圖 的英文怎麼說

中文拼音 [fāngfǎfēnlèitú]
方法分類圖 英文
method taxonomy diagram
  • 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...
  • 分 : 分Ⅰ名詞1. （成分） component 2. （職責和權利的限度） what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] （料想） judge
  • 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...
  • 圖 : Ⅰ名詞1 （繪畫表現出的形象; 圖畫） picture; chart; drawing; map 2 （計劃） plan; scheme; attempt 3...
  • 方法 : method; means; way; technique; process; procedure; plan; device; recipe; fashion; tool; maneuver
  1. Immune evolutionary algorithms are optimal algorithms in essence, therefore, they can be used in some fields, such as cybernation, pattern recognition, optimal design, meshing learning, network security, etc. there are also some examples of these attempts described in this paper

    免疫進化計算在本質上講是一種優化演算法，所以它們可以應用於一些諸如自動控制、故障診斷、模式分類、圖象識別、優化設計、機器學習和網路安全性等廣泛領域，本文在這方面也做了一些初步的嘗試。
  2. The paper selects baijiataun village and beizhai village which have diversiform landforms and land use types as the typical regions of positive research, classifies the detailed landscape type to these two villages separately by the method of function and configuration of rural landscape. as a result, 1 landscape region, 3 landscape types, 9 subtypes and 28 landscape units are to be classified in the baijiatuan village. as far as beizhai village is concerned, its four - layer classification system includes 1 landscape region, 3 landscape types, 9 landscape subtypes and 32 landscape units

    實證研究以地貌類型和土地利用方式比較典型的北京市海淀區白家疃村和懷柔區北宅村為例，運用鄉村景觀功能形態分類方法，分別對這兩個村進行了詳細的景觀類型劃分；其中白家疃村共劃分了1個景觀區、 3個景觀類、 9個景觀亞類和28個景觀單元；而北宅村共劃分了1個景觀區、 3個景觀類、 9個景觀亞類和32個景觀單元；在此基礎上，藉助于supermap軟體平臺，編制了白家疃村和北宅村的景觀類型圖。
  3. The main research content of this thesis include : the basic theory and method of character recognition, the pre - work of script image, the classification algorithm, the research of neutral network, and the system design of usual character recognition

    本文的主要研究內容為：文字識別的原理和方法，漢字圖像的預處理，漢字識別的分類演算法，神經網路在漢字識別中的應用，常用漢字識別系統方案設計與開發。
  4. Secondly, this paper mainly put forward different grey level threshold value segmentations of plane target after brief analyse the smooth and sharp image of image strengthen technology, segmentation for the overall situation, adopt the maximum variance method, the maximum entropy combine with adaptive threshold selection method, the maximum variance ration between two classes and in two classes ; segmentation for the part situation, has adopted the adaptive threshold value method ; to background more complicated segmentation, have adopted the two - dimentional maximum entropy method

    其次，在簡要的分析了圖像平滑和銳化的圖像增強技術后，重點研究了飛機目標的灰度分割，提出不同的灰度閾值分割方法進行圖像分割，對于全局分割，採用了最大類間分割法、最大熵與一致性準則相結合法、最大類間類內方差比法;對于局部分割，採用了自適應閾值法;對于背景較復雜的分割，採用了二維最大熵法。
  5. As the military and industry is developing dramatically, to enhance the low - contrast digital image has become one of the important areas in image processing. there are two traditional methods to enhance the low - contrast digital image : the methods based on frequency and the method based on time. the histogram enhancement, the most popular way to enhance, is representing the latter one ; while the methods based on frequency often uses wavelet transform, ft ( flourier transform ), dct ( discrete cosine transform ) to enhance

    隨著軍事和工業上的發展需要，低對比度數字圖像的增強越來越成為數字圖像處理中的一個重要領域，傳統的增強方法分為頻域法和空域法兩大類，其中空域法的代表為直方圖增強法，這也是最為流行的增強方法，頻域法中用的較多的是基於小波變換，傅立葉變換和離散餘弦變換的增強方法，本文介紹的是基於小波神經網路的頻域增強法。
  6. It integrates five agents, and uses ontology to describe the semantic features of images and assist users to normalize their queries, and can classify images in corresponding domains

    它集成了五種智能主體，並利用本體論的方法描述圖像的語義特徵繼而對圖像進行領域分類，同時規范化了用戶的查詢條件。
  7. With this method, in the present thesis, we will classify all the connected regular covering graphs of the cube satisfying the following two properties : ( 1 ) the covering transformation group is isomorphic to the elementary abelian p - group ; ( 2 ) the group of fibre - preserving automorphisms acts edge - transitively

    本文中，我們用同一種方法分類立方體的正則連通覆蓋圖，並且滿足兩個條件，覆蓋變換群同構于初等交換p -群且保纖維自同構群是邊傳遞的。
  8. ( 3 ) for the contents are so complicated, and system is very magnificent, we emphasised expound the system analysis and design of mgis extensively and deeply from data - type, content, structure and characteristic that involving almost all geoscience ; analyse all treatment course of datum in mgis with dataflow chat ; carry on data - library design. collectivity structure design, interface design, software and hardware design ; organize scheme of source and process ; flow, and overall make geophysics - data - analysis - subsystem for example to display system framework of mgis

    （ 3 ）由於mgis內容復雜、系統龐大，本文只進行了mgis的系統分析和設計，從數據類型、內容、結構和特點對多源地學數據做了最廣泛和深入的論述，內容涉及所有地學學科；用結構化分析方法分析了各學科數據在mgis中的處理過程；進行了系統的數據庫設計、總體結構設計、界面設計和軟硬體設計；提出了mgis的數據組織方案、綜合處理流程和系統構架圖；以地球物理數據分析子系統為例來說明mgis各個子系統的大致面貌。
  9. The graphical realization methods for interactive calculation of transitional state are presented. based on the graphical realization principle, the transitional modulus calculation and composing calculation can be replaced by the graphical obtaining operation and graphical synthesizing operation respectively. and the heavy and complicated numerical calculation can be avoided during the description, extraction and integration of the transitional information

    提出了面向過渡狀態交互運算的圖形化實現方法，通過圖形參量與物性參量、圖形參量與特徵參量等關聯的建立，以過渡率特徵的圖形化獲取技術與合成技術分別取代過渡率特徵運算與合成運算，利用可視化手段有效地避免了過渡狀態信息描述、提取與綜合過程中各類復雜繁瑣的非線性數值運算。
  10. ( 2 ) a series of new methods of feature extraction based on the optimal discriminant analysis are proposed, including the new lda algorithm based on the spectral decomposition of within - class scatter matrix sw which is effective when the number of class is small, an improved algorithm of optimal set of discriminant vectors based on the svd which is effective for face recognition, and the kernel fisher discriminant method ( kfdm ). experimental results on orl show that the kfdm outperforms conventional fisher discriminant methods in face recognition, however the computational load is much higher than those of conventional algorithms

    （ 2 ）提出了基於最優鑒別分析的圖象特徵抽取的一系列新方法，它們包括：基於對類內矩陣s _ w進行譜分解的f - s最優鑒別矢量集方法，該方法在類別數比較小時非常有效；一種改進的基於svd的最優鑒別矢量求解演算法，將該方法用於人臉識別時有較好的性能；非線性最優鑒別矢量集方法，該方法雖然有效，但計算時間較長。
  11. It is a new approach to improve the accuracy of image classification in combining spectral feature with texture and structural features of ground objective on satellite image. based on the recognizable characteristics of satellite image, it is introduced how to describe and capture texture and structural features of ground objective by the discrete fractional brownian motion model. furthermore, neural networks are used for classification tool of satellite image. in classification spectral feature, texture and structural features of ground objective are used for the category of an irs - 1c satellite image. the category result shows this approach is better than the maximum likelihood classifier

    根據衛星數字圖像特點，引入了分形方法來描述紋理結構特徵，利用離散分形布朗運動dfbm統計模型來抽取衛星圖像紋理結構特徵。在此基礎上，採用神經網路方法將紋理結構特徵與地物光譜特徵相結合，進行衛星圖像分類。試驗結果表明，該分法分類效果優于單純採用光譜特徵分類的最大似然法。
  12. With the development of communication, information and electronic technology and computer network, intelligent transport system ( its ) is paid more and more emphasis, it contains many parts, such as vehicle type recognition and license plate recognition. in this paper, we introduce svm to the field of its, the main work is described as follows : ( 1 ) we summarize the latest research achievements and development of its, present the conceptions of slt and the principles of svm ; ( 2 ) taking the traffic sign as examples and adopting hough transform in the stage of feature extraction, we introduce svm to the problem of shape recognition and compare the experimental results with traditional learning methods. ( 3 ) then we use svm to settle the vehicle type recognition problem, where we utilize the wavelet analysis and mathematical morphology method to extract the figure feature

    本文將支持向量機引入智能交通系統領域，主要進行的工作如下： （ 1 ）整理總結了國內外學術界關于統計學習理論方面的研究成果，介紹統計學習理論的基本概念和支持向量機的基本原理； （ 2 ）在形狀識別問題中以交通標志圖像作為實驗對象，利用hough變換進行特徵提取，在識別階段利用支持向量機方法進行分類，並與神經網路等傳統學習方法對比； （ 3 ）將支持向量機應用於車型識別問題中，針對收費站採集的汽車圖像，首先採用小波分析和數學形態學的方法提取其外形特徵，在識別階段利用支持向量機方法進行分類，並與其他傳統學習方法進行了對比； （ 4 ）將支持向量機應用於車牌識別問題中，車牌識別包括車牌定位、車牌字元分割以及字元識別三個步驟，先採用數學形態學方法對車牌區域進行定位，然後採用top - hat變換等方法分割車牌字元，在識別階段採用支持向量機演算法進行字元識別，取得了較為滿意的結果。
  13. The main work of the dissertation is as follows : the knowledge - based granularity analysis method of engineering drawing information is put forward by introducing the concept of granularity into the process of edi. this method is composed of three main steps, namely cognition - based decomposing of drawing interpretation goal, object - oriented partitioning of knowledge and knowledge - directed classification of drawing information

    論文的主要工作包括以下幾個方面：將粒度的思想引入到工程圖樣理解的分析和研究中，提出基於知識的工程圖樣信息粒度分析方法，該方法分為三個步驟，基於認知的圖樣理解目標分解、面向理解子目標的知識劃分、基於知識引導的圖樣信息分類。
  14. Based on related evaluation theories, such as the cost - benefit analysis, outcomes assessment, usability evaluation and consumer satisfaction index, the study adopts both quantitative and qualitative methods to evaluate both specific electronic resources ( such as electronic journals, full - text databases and so on ) and the whole library electronic resources

    論文以「成本?收益分析」 、 「效果評價」 、 「可用性評價」和「顧客滿意度」等理論為基礎，採用定量分析與定性分析相結合的測評方法，分別探討了微觀層面的特定類型電子資源的使用評價和宏觀層面的圖書館整體電子資源使用評價問題。
  15. In this thesis, the theory and method about visualization in scientific computing are introduced and described

    分類闡述了醫學三維圖像重建的幾種方法，分析了它們的差異和特點。
  16. According to the method classification test is done with etm data, and the accuracy is compared with the one of maximum likelihood classifier

    結果表明，利用基於支持向量機的方法進行遙感圖像分類，精度明顯優于最大似然法分類的精度。
  17. The thermocline classification method has been worked out on the basis of the classification theory for various thermocline types and in the light of temperature profile characteristics of scs. so the result can clearly reflect the distributional pattern of the thermocline in the south china sea

    用該方法分類、統計計算並繪制的南海溫躍層圖件，能夠真實清楚地反映出南海溫躍層的分佈規律，對整個研究工作起到至關重要的核心作用。
  18. ( 2 ) the image data reduction is very important in remote sense image processing, two methods in data reduction proposed in this paper, which one is based on wavelet theory and the other is based on clustering analysis

    2 、針對遙感圖象的海量數據特性指出了圖象數據歸約的重要性，並提出了兩個圖象數據歸約方法。這兩種歸約方法分別是基於小波理論的方法和基於聚類分析的方法。
  19. In image classing process, the speed of the algorithms is an important factor. k - means algorithm, fcm, sofm network, all deal image pixels as the object, which is the main reason of long working time

    傳統k均值演算法、模糊c一均值聚類演算法及自組織特徵映射神經網路等圖像分類方法，在自動分類過程中以像素灰度為分析對象，這是運用這些方法分類運算速度慢的根本原因。
  20. With this approach, the classification and production of lup and lut will be repeated for each updating interval and results will be compared to the lup and lut produced on previous date to detect significant change in landusecover. a two - level updating plan is recommended, namely, the annual standard updating and triennial major updating

    若採用這一方法，分類以及土地利用圖和土地利用表的編制可在每次更新時予以重復，將結果與前一日期製作的土地利用圖和土地利用表相對比，以便量測土地利用覆蓋中的重大變化。
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