映象分類 的英文怎麼說

中文拼音 [yìngxiàngfēnlèi]
映象分類 英文
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  • 映 : 動詞1. （因光線照射而顯出物體的形象） reflect; mirror; shine 2. （放映） project a movie
  • 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...
  • 映象 : befleclion
  1. Based on vc and opengl software platform, as a part of integrate planar mechanism analysis and simulation cai, the mechanism theory has been adopted to analysis the movement trace and profile of linkage ; adopt oriented object method to capsulate the class module. each corresponding class module complete parameter storage and process ; adopt message - map, message - trigger to organize the programming and response the user " s input ; use the document - view structure of the visual vc + + mfc class foundation as the basis of the programming architecture to complete those functions. use oriented object method to product the following class module : control class, render class, document class, mechanism class and other classes ; adopt opengl library to draw the three dimensional graph based on the result of mechanism analysis ; use model transforming, lighting, material, color, frame - buffer, display - list, graphics - component combine etc to draw the three - dimension mechanism and make the simulation of linkage has high reality

    本文敘述了平面連桿機構運動分析和可視化模擬的理論演算法及其編程實現方法，基於微機vc平臺，採用opengl圖形庫編程，利用面向對象的方法對機構進行功能封裝，利用vc + +的文檔視結構作為最基本的窗架，生成並控制三維繪制類、文檔類、主窗口類和一些輔助類，利用windows平臺的消息映射、事件驅動來組織程序運行和響應用戶反饋，利用機構分析得出坐標數據驅動opengl庫繪制三維機構圖形。
  2. Involuntarily, questions of these engineering datas " management appear, datas " persistance only depending relational model and rdbms is greatly insufficient, so this paper carefully studies object - relational mapping based on rdbms based on the analyse of home & overseas actualities, correlative theories and realizing methods of object - relational mapping, we find opl based on rdbms is the most suitable for object relatinoal mapping of clera. based on the engineering application analyse of opl in clera, function requirements, database modes, interface criterions and functions, running modes of opl have being detailedly described. with the framework of microsoft dna, a kind of realizing method of opl based on com / dcom / activex component technology has being brought forward, and this paper describes realizing keys from base tables " definition, object id and class hx class and inheritance of class, object storage, parallel control and affair, object query, object nesting, relations between objects, support of complex data types, right control of object and buffer management of object

    本文在分析對象?關系映射技術的國內外現狀、相關理論及實現方法的基礎上，研究發現基於rdbms的opl是目前最適合clera的對象?關系映射方法；在clera的opl應用分析的基礎上，詳細描述了opl的功能要求、數據庫模式、介面規范與功能、運行方式等內容；結合microsoftdna開發框架，提出了一種基於com dcom activex組件技術的opl實現思路，並從基本表定義、對象標識與類標識、類與類繼承、對象存儲、並發控制與事務、對象查詢、對象嵌套、對象間聯系、復雜數據類型的支持、對象級權限控制及對象緩沖管理等幾方面概述了實現要點。
  3. With the rough sets theory, people can process the undistinguished problem using uncompleted information or knowledge. and also enhance the capability to classify the imprecise data coming from observation or measurement

    粗糙集理論反映了人們以不完全信息或知識去處理一些不可分辨現象的能力，或依據觀察、度量得到某些不精確的結果而進行數據分類的能力。
  4. Some related techniques and applications on supply chain are described. through studying the order - decomposing process simulation, this dissertation defines the two agent classes : coordination & resource agent, maps the order - decomposing process into a real - time control process formed by a group of agents, proposes finite state machine as a kind of ideal modeling approach used to analyze the real - time control process, describes the conversation rules of agent conversation classes, identifies agents & conversation rules and develops the conversation models by using the framework provided by jafmas, jdk1. 1 integrated development environment & java. according to the structural characteristics, this dissertation transforms the optimization of series supply chain design into multi - stage decision - making problem and develops an optimization model for it

    在對國內外供需鏈研究與應用進行大量調研分析的基礎上，本文給出了供需鏈的定義；闡述了供需鏈管理范疇的內涵、外延及其管理目標；綜述了供需鏈研究的現狀；在對訂單處理流程分析的基礎上，定義了兩種代理類：協調代理和資源代理，創見性地把訂單分解?匹配過程映射為一個由多個代理組成的實時控制過程；針對實時控制過程瞬時狀態難以描述的特點，本文首次把有限狀態機fsm應用到訂單分解?匹配過程中，用以描述代理會話類的會話規則；在jafmas平臺上，利用jdk1 . 1集成開發環境以及面向對象編程語言java設計了jafmas的面向對象代理模型，實現了代理會話規則的有限狀態機模型。
  5. In this paper, by recalling the developping history of variational inequalities and by using many other authors " results in this field, especially by using the concept of generalized m - accretive mappings in banach spaces and the relevant results which was first introduced and studied by huang and fang, we introduce and study a new class of parametric nonlinear variational inclusions involving generalized m - accretive mappings in banach spaces and prove the existence theorems of solutions. at last, we also analyze the sensitivity of solutions for this kind of nonlinear variational inclusions.

    通過變分不等式的引入和發展歷史的回顧，借用前人對有限維空間和hilbert空間中（廣義）變分不等式問題解的存在性和靈敏性分析的已知結果，特別是， huang和fang最近引入的廣義m -增生的概念以及其相應的結果，我們研究並分析了banach空間中一類具廣義m -增生映象的含參非線性變分包含問題。
  6. By using it, the section mapping drawings of multi - types & complex pipeline system can be automatically generated through the entity crossing operation. this method composes of the following three key steps. in the first, different graphic entities are identified from the complex pipelines drawing in terms of the layer information they owned, then the correspondent information is to be encapsulated to keep the spatial data completeness of the graphic symbols

    該方法通過管線系統設計圖中的圖形實體的分層處理與信息封裝，首先實現了復雜管線實體的自動識別並確保了圖形實體具有對應管線實體對象的完備空間信息；在此基礎上，根據用戶給出的任意位置截切線，構造隱式描述的截切面並與隱式描述的管線實體進行求交運算；最後通過對求交結果的坐標變換，生成能夠直觀反映出多類型復雜管線系統空間分佈信息的截切面映射圖。
  7. Six distinguished computer experts including scott defined the weight of continuous lattices in the first reference and proved that the three kind of weights ? ei g ht of continuous lattices, weight of the related scott topological space and weight of the related lawson topological space, are consistent

    證明了幾類分配的domain范疇即sdscs 、 sdccs 、 sdacs是slp的閉的滿子范疇，指出在slp的滿子范疇中指數對象同構于穩定映射所成的函數空間。
  8. The primary studies in this paper are the following : ( 1 ) we define a generalized alexandroff topology on an l - fuzzy quasi ordered set which is a generalization of the alexandroff topology on an ordinary quasi ordered set, prove that the generalized alexandroff topology on an l - quasi ordered set ( x, e ) can be obtained by the join of a family of the alexandroff topologies on it, a topology on any topological space can be represented as a generalized alexandroff topology on some l - quasi ordered set, and the generalized alexandroff topologies on l - fuzzy quasi ordered sets are generalizations of the generalized alexandroff topologies on generalized ultrametric spaces which are defined by j. j. m. m. rutten etc. ( 2 ) by introducing the concepts of the join of l - fuzzy set on an l - fuzzy partial ordered set with respect to the l - fuzzy partial order and l - fuzzy directed set on an l - fuzzy quasi ordered set ( with respect to the l - fuzzy quasi order ), we define l - fuzzy directed - complete l - fuzzy partial ordered set ( or briefly, l - fuzzy dcpo or l - fuzzy domain ) and l - fuzzy scott continuous mapping, prove that they are respectively generalizations of ordinary dcpo and scott continuous mapping, when l is a completely distributive lattice with order - reversing involution, the category l - fdom of l - fuzzy domains and l - fuzzy scott continuous mappings is isomorphic to a special kind of the category of v - domains and scott continuous mappings, that is, the category l - dcqum of directed - complete l - quasi ultrametric spaces and scott continuous mappings, and when l is a completely distributive lattice in which 1 is a molecule, l - fuzzy domains and l - fuzzy scott continuous mappings are consistent to directed lim inf complete categories and lim inf co ntinuous mappings in [ 59 ]

    本文主要工作是： （ 1 ）在l - fuzzy擬序集上定義廣義alexandroff拓撲，證明了它是通常擬序集上alexandroff拓撲的推廣，一個l - fuzzy擬序集（ x ， e ）上的廣義alexandroff拓撲可以由其上一族alexandroff拓撲取並得到，任意一個拓撲空間的拓撲都可以表示為某個l - fuzzy擬序集上的廣義alexandroff拓撲，以及l - fuzzy擬序集上的廣義alexandroff拓撲是j . j . m . m . rutten等定義的廣義超度量空間上廣義alexandroff拓撲的推廣。 （ 2 ）通過引入l - fuzzy偏序集上的l - fuzzy集關于l - fuzzy偏序的並以及l - fuzzy擬序集上（關于l - fuzzy擬序）的l - fuzzy定向集等概念，定義了l - fuzzy定向完備的l - fuzzy偏序集（簡稱l - fuzzydcpo ，又叫l - fuzzydomain ）和l - fuzzyscott連續映射，證明了它們分別是通常的dcpo和scott連續映射的推廣，當l是帶有逆序對合對應的完全分配格時，以l - fuzzydomain為對象， l - fuzzyscott連續映射為態射的范疇l - fdom同構於一類特殊的v - domain范疇，即以定向完備的l -值擬超度量空間為對象， scott連續映射為態射的范疇l - dcqum ，以及當l是1為分子的完全分配格時， l - fuzzydomain和l - fuzzyscott連續映射一致於k . wagner在[ 59 ]中定義的定向liminf完備的-范疇和liminf連續映射。
  9. Each of the above is classified as a full domain model mapper, where tables are mapped to objects, object state is maintained, objects follow a connected model as client components interact with the object, underlying database operations are implied either all or some of the time, and an abstract query language works against the object model

    上面每一個框架都被分類為一個完整的域模型映射程序，其中將表映射到對象，對象狀態得到維護，對象在任何時間或者某些時間跟隨一個連接的模型由於客戶機組件與對象交互，因此將涉及到基礎數據庫操作，並且抽象查詢語言通過對象模型進行工作。
  10. This lesson topic takes chinese classic garden name as object, inquires into garden name ( containning the view name ) mode, name design method and its classification, reflects the culture content of confucianism and daoism and buddhism from garden name

    課題以中國古典園林名稱作為研究對象，探討園林名稱（主要是景點名稱）的結構模式，名稱創作設計方法及其分類，以及園林名稱中所反映出來的儒家、道家和釋家等思想的文化內涵。
  11. Different sections of image have different textures, and different laws features obtained from wavelet transformation form a feature space. the points in the feature space are clustered to form different regions according to k - mean value clustering method, and then the regions are mapped to original image space to get the result of image segmentation

    利用圖象中不同的部分具有不同的紋理特徵，採用小波變換的多尺度特性以獲取多尺度、多方向上的紋理能量特徵組成特徵空間，利用k -均值聚類方法將特徵空間的點聚類成團，然後再將它們映射回原圖象空間得到圖象分割的結果。
  12. The oo method has also been applied to building different components in netfeaf. for a computing cluster, a new class hierarchy map instead of cluster hardware itself is analyzed for the efficiency and stability, the study of connection between different classes can show us the performance of that cluster very clearly

    面向對象分析方法又被全新的應用於特定并行有限元計算集群的構建過程中，論文將集群系統的各種軟硬體組件，映射成一系列相關聯的類對象，形成一個完整的集群系統類庫，通過對組成類特性的研究而實現對集群系統各組成部分的關聯分析。
  13. A variant map object is much like the mfc

    變量映射對象十分類似於mfc的
  14. We construct some new iterative algorithms with errors for solving these generalized fuzzy variational inclusions by using the resolvent operator technique for maximal - monotone mappings and prove the convergence of iterative sequences generated by the algorithms

    為了利用-極大單調映象的預解運算元技巧求解這類廣義模糊變分包含，我們建立了一些新的含誤差的迭代演算法，並證明了由這類演算法產生的迭代序列的收斂性。
  15. The important research is about the theory and methods of the cluster analysis in view of statistical theory, the theory and methods of fuzzy cluster analysis, the fkn " s structure and the fkn ' s study algorithm ( fkn, fuzzy kohonen network ) - the organic fusion of the fuzzy c - means algorithm and self - organized feature map neural network. the paper proposes the ifkn ( improved fkn ) on the basis of the hard classification idea and the soft classification idea, then carries on the cluster analysis of the artificial synthetic control chart time series through matlab program and tt ? cluster result matches the cluster result of the famous dataengine " s software of the intellectual data analysis and data mining from german mit company. finally, the paper discusses the applying of the cluster analysis to the control process, which can be widely applied to the pattern recognition of the parameter " s changing trend during the control process and the image partition processing, and utilizes the ifkn to recognize the thermotechnical parameter " s changing trend based on the engineering of clinker sintering rotary kiln automatic control system of guizhou " s aluminium factory, through which good effect is obtained

    數據挖掘技術在商業領域中已廣泛使用，然而在工業過程式控制制中的應用卻極少，本文正是在這種背景下，對數據挖掘中的聚類分析方法及其在工業過程式控制制中的應用研究作了償試，重點研究了基於統計理論的聚類分析理論和方法，模糊聚類分析理論和方法及模糊kohonen網路（ fkn ）的結構與學習演算法，即模糊c ? ?均值演算法與自組織特徵映射神經網路（ kohonen網路）的有機融合，並根據硬分類思想及軟分類思想提出了改進的模糊kohonen網路（ ifkn ） ，通過matlab編程對人工合成控制時序圖數據集進行聚類分析，其聚類效果與當今廣泛使用的數掘挖掘軟體平臺，德國mit公司著名的dataengine智能數據分析和數掘挖掘軟體的聚類效果相當，最後，論述了聚類分析在控制中的應用，它可以用於過程式控制制中的參數變化趨勢的模式識別及圖象分割處理等具體應用中，並以貴州鋁廠熟料燒結回轉窯自動控制系統為工程背景，利用ifkn識別其熱工參量變化趨勢，取得了較理想的效果。
  16. Data mining is the key step of kdd, which concerns on database, artificial intelligence, and statistics, etc. classification is the important content of data mining, which assigns dataitems in databases to a special class by constructing a classification function or model ( also be called classifier ). therefore, we can predict the unlabelled object classes with the classification model

    分類是數據挖掘的一個重要內容，它通過構造一個分類函數或分類模型（也常稱作分類器） ，把數據庫中的數據項映射到給定類別中的某一個，從而能夠使用該模型來預測類標號未知的對象類。
  17. In this paper, we introduce and study a new class of generalized nonlinear fuzzy quasi - variational - like inclusions involving maximal - monotone mappings

    引入並研究一類新的含-極大單調映象的廣義非線性模糊擬似變分包含。
  18. We also discuss the convergence and stability of perturbed iterative algorithm for solving a class of generalized nonlinear quasi - variational - like inclusions involving maximal - monotone mappings

    我們還討論了求解一類含-極大單調映象的廣義非線性擬似變分包含的擾動迭代演算法的收斂性和穩定性。
  19. Section 4 is devoted to give some new iterative algorithms with errors. with some noncompact constraint qualifications, we prove the existence of solution for the generalized nonlinear fuzzy quasi - variational - like inclusions involving maximal - monotone mappings and the convergence of iterative sequences generated by the iterative algorithms. in the last, we discuss the convergence and stability of perturbed iterative algorithm for solving a class of generalized nonlinear quasi - variational - like inclusions involving maximal - monotone mappings

    第四部分，首先給出一些新的含誤差的迭代演算法，然後證明這類含-極大單調映象的廣義非線性模糊擬似變分包含在非緊條件下的解的存在性和由此類迭代演算法產生的迭代序列的收斂性；第五部分，我們討論了求解一類含-極大單調映象的廣義非線性擬似變分包含的擾動迭代演算法的收斂性和穩定性。
  20. 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。
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