dynamic clustering 中文意思是什麼

dynamic clustering 解釋
動態聚類
  • dynamic : adj 1 動力的，動力學的；力學（上）的；動（態）的；起動的。2 有力的，有生氣的；能動的；（工作）效...
  • clustering : 叢聚
  1. 4. an object detection method with em ( expectation maximum ) algorithm of dynamic layer representations is researched and improved. previous algorithm contains optical flow computation, affined transformation, and clustering algorithm, and it is not convenient for detecting object quickly

    4 .分析並改進了基於em （ expectationmaximum ）演算法的運動目標分層檢測演算法，早期演算法由於涉及光流場求解、仿射變換、聚類合併等復雜運算，計算量大，不適合圖像序列的快速處理。
  2. A novel dynamic evolutionary clustering algorithm ( deca ) is proposed in this paper to overcome the shortcomings of fuzzy modeling method based on general clustering algorithms that fuzzy rule number should be determined beforehand. deca searches for the optimal cluster number by using the improved genetic techniques to optimize string lengths of chromosomes ; at the same time, the convergence of clustering center parameters is expedited with the help of fuzzy c - means ( fcm ) algorithm. moreover, by introducing memory function and vaccine inoculation mechanism of immune system, at the same time, deca can converge to the optimal solution rapidly and stably. the proper fuzzy rule number and exact premise parameters are obtained simultaneously when using this efficient deca to identify fuzzy models. the effectiveness of the proposed fuzzy modeling method based on deca is demonstrated by simulation examples, and the accurate non - linear fuzzy models can be obtained when the method is applied to the thermal processes

    針對模糊聚類演算法不適應復雜環境的問題，提出了一種新的動態進化聚類演算法，克服了傳統模糊聚類建模演算法須事先確定規則數的缺陷.通過改進的遺傳策略來優化染色體長度，實現對聚類個數進行全局尋優;利用fcm演算法加快聚類中心參數的收斂;並引入免疫系統的記憶功能和疫苗接種機理，使演算法能快速穩定地收斂到最優解.利用這種高效的動態聚類演算法辨識模糊模型，可同時得到合適的模糊規則數和準確的前提參數，將其應用於控制過程可獲得高精度的非線性模糊模型
  3. Chapter 6 provide a study on the delivery network of port physical distribution system, and we define single physical distribution center location by the center - of - gravity method, multi - physical distribution center location by clustering - based method and dynamic physical distribution center location by dynamic programming model, and the lines of vehicles have been optimized by vehicles scheduling program ( vsp )

    第六章主要是探討港口物流系統的配送網路，運用重心法確定單個配送中心選址、分組法解決多個配送中心選址和動態規劃解決配送中心動態選址問題，並用里程節約法（ vsp法）對配送線路進行優化，尋找最佳運輸線路。
  4. Residential electricity consumption load forecasting based on dynamic clustering and partial least - squares regression

    基於動態聚類與偏最小二乘回歸分析的居民用電負荷預測
  5. Seasonal dynamic model is introduced to analyze and evaluate tianjin raw water quality of luanhe river during 10 years for the first time, and so does for huanghe river during 4 years. based on these historical data, some long - term trend function of water quality items is got, by which seasonal fluctuation rate ( s c ) and seasonal dynamic trend of water quality items are computed. for the first time, clustering analysis is introduced to divide tianjin raw water into different levels

    首次採用季節變動模型對天津市灤河水源10年的水質情況和黃河水源4年的水質情況進行了分析評價，得出各個水質指標的長期趨勢項回歸方程，根據趨勢模型和各水質指標的歷史數據求出季節比sc ，在各個指標的季節平均值和對應的季節比（ sc ）的基礎上，得到了各個水質指標的季節變化趨勢值。
  6. The main work includes : the research and conments about some recognition methods ; the research and comments about three kind of mathematics morphologic arithmetic ; clustering ; matlab embedded in the vb ; the difference analysis in the dynamic image and so on

    主要做的工作包括幾種識別方法的研究與評述；三種數學形態學演算法的實現以及各自的優劣比較；利用無監督學習進行聚類以及matlab在圖像處理中的嵌入；動態圖像的差分分析等。
  7. On the refine and dynamic automatic clustering system

    查詢優化與動態自動聚類系統
  8. We found a new method to interpret log data under overpressure & high temperature based on the viewpoint. 3. the reservoirs grading and the confirmation of economic floor : the paper classified the reservoirs using dynamic clustering and defined a grading factor to evaluate the reservoirs

    儲層分級技術及經濟基底的確定：應用動態聚類方法，對儲層進行分類，並定義一個分級指數來對儲層的優劣進行評價，對研究地區兩口井的儲層進行了分級。
  9. On the basis of a evolving clustering method ( ecm ), a new modeling approach of t - s type dynamic fuzzy inference model is proposed

    摘要以一種進化聚類演算法（ ecm ）為基礎，提出了一種新的t - s型動態模糊推理模型的建模演算法。
  10. The planning methods are the weightiness method and dynamic clustering method

    樞紐型物流中心的規劃方法採用重要度法及動態聚類法。
  11. Considering the dynamic of spatial transfer of knowledge, the above learning mechanism for cluster also reflects the " knowledge induction - knowledge diffusion " model, which, if run efficiently, will promote clusters " knowledge base to extend and upgrade and their technological capability to continuously evolve. in fact, the formation and operation of the learning division mechanism for cluster has to need support from an extensive policy system, which is constituted of the policy of clustering enterprises, the policy of coordinating institution and public service institution and the policy of local government

    事實上，集群技術學習的分工機制的形成和良好運轉需要一個廣義政策體系的支撐，因此本文最後從集群企業、集群中間機構和公共部門以及當地政府三個方面討論了該政策體系的設計問題，以更好地推動集群中的技術學習分工和集群技術能力演進。
  12. The parameter sensitivity of induction motor load model is studied. a new approach based on fuzzy c - means clustering is proposed for the classification of dynamic load characters

    分析了感應電動機綜合負荷模型參數靈敏度，介紹了模糊聚類的分類方法，提出了基於模糊c均值聚類的負荷特性分類方法。
  13. However, existing algorithms is still sensitive to data order. high effective, self - adaptive, interactively dynamic, incremental clustering algorithm should be studied. clustering technique in data mining will yet be faced with many problems and challenges

    目前的增量演算法尚未完全解決對數據順序的敏感性，高效、自適應性和交互性地動態地增量式聚類演算法有待進一步研究，數據挖掘中的聚類技術仍面臨著許多問題和挑戰。
  14. This paper in turn introduces correlative knowledge on case description and a object oriented representation, the aim, tenet of casebase organizing and index and a organizing and index method using dynamic clustering, several typical case retrieval methods, the acquirement of adjustment knowledge, the classification of adjustment methods and a transform adjustment model, evaluate method of new case and learning and maintenance of casebase etc. moreover this paper also stressed discusses two central problem in case retrieval : the setting of property weight and the assignment of local similar degree between property values

    本文依次介紹了案例表示的相關知識及一種面向對象的表示方法，案例庫組織索引的目標、原則及採用動態聚類進行組織索引的方法，幾種典型的案例檢索方法，案例調整知識的獲取、調整方法的分類及一個轉換式調整模型，新案例的評估方法及案例庫的學習與維護等。此外，對于案例檢索過程中的兩個重要問題，屬性權重的設置和屬性值間局部相似度的賦值問題作了重點討論。
  15. Texture features are then extracted from these filters and passed into a dynamic clustering procedure, which is called visual similarity clustering. finally, text contents are located from the clustered results. benefit from this scheme, the algorithm demonstrates strong robustness and adaptability in a wide variety of documents, which previous traditional dla approaches do not possess

    一般來說，人眼對一張文檔圖像所形成的第一印象，會傾向于對其中一些區域文字照片等等形成相似的感知結果，這些在視覺前期相似的內容，往往就是文檔中內容獨立的區域。
  16. Weightiness method is, ordering the crunodes through comparing the weightiness of the crunodes. the main idea of dynamic clustering method is as follow : firstly, regard all the crunodes of planning region as clustering analytic swatches ; secondly, classify di fferent kinds of crunodes according to certain criterion, which must have typical traits ; finally, sort the crunodes by type

    而將動態聚類法應用於區域物流中心規劃的基本思路是：先將規劃區域中的所有結點視為聚類分析的樣本：再按一定的標準將樣本分為不同類，每一類具有典型的特徵，最後根據需要按重要程度逐類選擇結點。
  17. 4. researching the theoretical framework for classifier selection, we explain the algorithms of dynamic classifier selection using local class accuracy estimates and that of clustering - and - selection and apply them to classify the homo - oligomeric of the protein

    4 、分析了多分類器選擇演算法的理論框架，對基於局部類精度的動態選擇演算法和聚類選擇演算法進行了說明，並將其運用到蛋白質同源寡聚體分類問題中。
  18. A model for short term and super short term forecasting integrating neural network, expert system and dynamic clustering is introduced here, which involves weather, festival and other load forecasting affecting factors

    介紹了一種整合神經網路、專家系統和動態聚類多種智能方法為一體的短期/超短期預測模型，綜合考慮了氣象、節假日等負荷影響因素。
  19. Dynamic document clustering based on genetic algorithm

    基於遺傳演算法的動態文本聚類
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