有效自聚集 的英文怎麼說

中文拼音 [yǒuxiàozìjùjí]
有效自聚集 英文
active autofocusing
  • 有 : 有副詞[書面語] （表示整數之外再加零數）: 30 有 5 thirty-five; 10 有 5年 fifteen years
  • 效 : Ⅰ名詞（效果; 功用） effect; efficiency; result Ⅱ動詞1 （仿效） imitate; follow the example of 2 ...
  • 自 : Ⅰ代詞（自己） self; oneself; one s own Ⅱ副詞（自然;當然） certainly; of course; naturally; willin...
  • 聚 : 動詞（聚集; 聚積） assemble; gather; get together
  • 集 : gatherassemblecollect
  • 有效 : effective; valid; efficacious
  • 聚集 : 1 （集合; 湊在一起） gather; assemble; collect 2 [工業] accumulation;congestion; concrescence; re...
  1. In this paper, based on land use maps of 1976, 1988, 2003, which were interpreted from the landsat mss / tm / etm imageries, and the map of main road, with the buffer analysis tool in arcgis 8, we studied the land use and land cover change on the two sides of the main roads in xishuangbanna, then we studied the impact of population density and the topographic factor on road effects. during the study both the comprehensive land use dynamic degree model and the land use degree comprehensive index model are taken into account, we put forward a compensatory model ? “ amendatory comprehensive land use dynamic degree model ”

    由於人類活動干擾強度加大，公路效應深度不斷擴展， 1976年為5km ， 1988年為7km ， 2003年達到11km ;受自然、社會條件的影響，不同路段的公路效應存在較大差異，甚至同一路段兩側效應也各不相同。 1976年至2003年，距公路不同距離范圍內的人口密度都在增加，且距離公路越近，人口數量密度越大、增長越快，人口分布有向公路兩側聚集的趨勢。選取人口密度為大、中、小三個樣區分別分析公路效應的范圍表明，人口密度
  2. This dissertation describes the present rusult of the theoretic researches on harbor & navigation economy system during the course of the constriction of international shipping center of shanghai. aimed at the research goal, combinational theory of competitive advantage is developed in this dissertation. which combines the theory of common competitive advantage combines the conglomerate economy, regional advantage and other concerned theories to analyze domino effect of finance, trade and economy caused by harbor & navigation industry in the center city ; the advantage theory of balanced game, which mainly studies how to achieve an effective result of balanced game among every parties, puts more emphasis on the research of collaboration and negotiation that have collective advantage to analyze the relationship between competition and collaboration among different harbor owners under different operating circumstances ; the advantage theory of the reciprocal d evelopment of the harbor and the ambient area is an important paresis, not only can it accomplish its own development goal but can also offer some developing opportunities for its counterparts and the two will endeavor together to construct the international shipping center

    本文在總結前人研究成果的基礎上，概述了上海國際航運中心建設中有關港航經濟系統的理論研究現狀，並針對本文的研究目標提出了競爭優勢組合理論，分別是一般競爭優勢理論? ?結合了集聚經濟、區位優勢等相關理論，以此來分析港航產業在金融、貿易、經濟中心城市的集聚經濟效應；均衡博弈的優勢理論? ?主要研究如何在各種利益團體之間達成一種有效的均衡博弈結果，側重於對合作博弈、協商機制等具備集體優勢的研究，以此來分析港口利益主體之間在不同經營環境下（民營化前後）的競協博弈關系；港區（港口與區域）互動發展的優勢理論? ?港口與區域的互動發展是國際航運中心建設的重要前提，雙方基於良性循環的共同發展在滿足自身發展目標的同時也為對方提供了發展機遇，並共同為國際航運中心的建設而作出努力。
  3. Incremental maintenance of quotient cube for sum and median. technical report 02 - 1, school of computing, nus, dec. 2, 2002, pp. 1 - 18. 18 wang w, feng j l, lu h j, yu j x. condensed cube : an effective approach to reducing data cube size

    針對非分佈型聚集函數如median ，提出了一種有效的滑動窗口技術，該技術和addset存儲結構的結合極大地減少了維護不可自維護型函數時所需要的存儲空間和運行時間。
  4. Using gazetters, stelae from pools and oral matreials collected during field research, this eassy examines the pools in north china since ming and qing dynasties, it also points out that digging pool and saving up rainwater is an effective form to solution water shortage in some regions where water resources are difficulty, pools are a remarkable spectacle in northern settlement

    摘要本文利用地方志，田野調查收集的水池碑刻、口述資料，對明清時期北方地區的水池進行了研究，認為開鑿水池集蓄自然降水是解決缺水地區民生用水困難的有效形式，水池人文景觀構成北方行聚落顯著的外部特徵。
  5. In this text, we first do some research on the genetic algorithm about clustering, discuss about the way of coding and the construction of fitness function, analyze the influence that different genetic manipulation do to the effect of cluster algorithm. then analyze and research on the way that select the initial value in the k - means algorithm, we propose a mix clustering algorithm to improve the k - means algorithm by using genetic algorithm. first we use k - learning genetic algorithm to identify the number of the clusters, then use the clustering result of the genetic clustering algorithm as the initial cluster center of k - means clustering. these two steps are finished based on small database which equably sampling from the whole database, now we have known the number of the clusters and initial cluster center, finally we use k - means algorithm to finish the clustering on the whole database. because genetic algorithm search for the best solution by simulating the process of evolution, the most distinct trait of the algorithm is connotative parallelism and the ability to take advantage of the global information, so the algorithm take on strong steadiness, avoid getting into the local

    本文首先對聚類分析的遺傳演算法進行了研究，討論了聚類問題的編碼方式和適應度函數的構造方案與計算方法，分析了不同遺傳操作對聚類演算法的性能和聚類效果的影響意義。然後對k - means演算法中初值的選取方法進行了分析和研究，提出了一種基於遺傳演算法的k - means聚類改進（混合聚類演算法） ，在基於均勻采樣的小樣本集上用k值學習遺傳演算法確定聚類數k ，用遺傳聚類演算法的聚類結果作為k - means聚類的初始聚類中心，最後在已知初始聚類數和初始聚類中心的情況下用k - means演算法對完整數據集進行聚類。由於遺傳演算法是一種通過模擬自然進化過程搜索最優解的方法，其顯著特點是隱含并行性和對全局信息的有效利用的能力，所以新的改進演算法具有較強的穩健性，可避免陷入局部最優，大大提高聚類效果。
  6. In connection with the difference and distribution characteristic of the samples in sample space rs based on dga, a new self - adapted weight fuzzy omean clustering model of fault diagnosis of the power transformer based on the potential function is proposed. meanwhile, from the aspect of geometry characteristic of fc - divided in s dimension sample space, a method is proposed for the purpose of getting an effective adjacent radius, adaptive cluster number c and original cluster center of x sample set. for the diagnosis sample x, the property measure and diagnosis rule are proposed, which under the condition of potential density function that determine c number of optimal fuzzy cluster p1

    根據以變壓器dga數據為特徵量的樣本空間各樣本差異特性以及樣本在空間r ~ s的分佈特性，首次提出了基於勢函數自適應加權的變壓器絕緣故障診斷的模糊c -均值聚類模型；同時，從s維樣本空間的f ~ c -劃分幾何特性出發，提出了一種求取樣本集的類勢有效鄰域半徑和自適應求取聚類數和聚類中心初值的方法；對一個待診斷樣本，設計了基於類勢密度函數意義下的屬性測度和診斷準則。
  7. In view of the general prevalence of the obscure financial orientation, backward management mode and ambiguous property right and disorderly capital management of the conglomerates, this article, for the purpose of effectively ironing out the series of existing problems, puts forward the augment that corporate groups ’ financial management mode must be persistently based on capital operation as its core, thus demonstrating the principle of the organic combination of the centralized power and decentralized power, establishing a financial management mode characterized by the integration of centralized power and decentralized power, which will be conducive to bringing into full play the financial control function of the parent company and the subsidiaries, stimulating the initiative and creativity of the subsidiaries and effectively controlling the risks of the operators and the subsidiaries

    以建築施工、房地產開發為主營業務的大型集團型國有企業為例，他們在財務管理方面普遍存在著分權過度的問題，對子公司的財務行為難以統一協調，無法合理配置有效資源，致使企業集團的凝聚力、控制力難以實現。因此，構建有效的財務管理體制，強化企業集團的財務管理職能，灌輸財務管理的戰略思想已迫在眉梢。因此，本人希望充分利用本人在吉林大學的三年碩士班學習掌握的財務管理知識，結合導師指導和自身工作體會來了解分析當前企業集團存在制約企業集團良性發展的普遍問題入手，基於集團的組織模式、制度建設，預算管理等方面進行深刻剖析，結合現實案例系統並有針對性的提出了一套具體的集團企業財務管理戰略模式，以期能對企業集團的生存與發展具有較好的現實意義。
  8. The solid business foundation and stable supply and demand relation net of this region generate strong brand effect ; the other is the concentrating effect of the industry

    該區域長期自然形成的商業基礎和穩定的供需關系網，具有相當強的品牌效應；二是產業集聚效應。
  9. 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。
  10. This paper introduces the development of data mining and the concepts and techniques about clustering will be discussed, and also mainly discusses the algorithm of cluster based on grid - density, then the algorithm will be applied to the system of insurance ? among the various algorithms of cluster put forward, they are usually based on the concepts of distance cluster o whether it is in the sense of traditional eculid distance such as " k - means " or others o these algorithms are usually inefficient when dealing with large data sets and data sets of high dimension and different kinds of attribute o further more, the number of clusters they can find usually depends on users " input 0 but this task is often a very tough one for the user0 at the same time, different inputs will have great effect on the veracity of the cluster ' s result 0 in this paper the algorithm of cluster based on grid - density will be discussed o it gives up the concepts of distance <, it can automatically find out all clusters in that subspaceo at the same time, it performs well when dealing with high dimensional data and has good scalability when the size of the data sets increases o

    在以往提出的聚類演算法中，一般都是基於「距離（ distance ） 」聚類的概念。無論是傳統的歐氏幾何距離（ k - means ）演算法，還是其它意義上的距離演算法，這類演算法的缺點在於處理大數據集、高維數據集和不同類型屬性時往往不能奏效，而且，發現的聚類個數常常依賴于用戶指定的參數，但是，這往往對用戶來說是很難的，同時，不同參數往往會影響聚類結果的準確性。在本文里要討論的基於網格密度的聚類演算法，它拋棄了距離的概念，它的優點在於能夠自動發現存在聚類的最高維子空間；同時具有很好的處理高維數據和大數據集的數據表格的能力。
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