特徵模式 的英文怎麼說

中文拼音 [tèzhǐmóshì]
特徵模式 英文
characteristic pattern
  • 特 : Ⅰ形容詞（特殊; 超出一般） particular; special; exceptional; unusual Ⅱ副詞1 （特別） especially; v...
  • 徵 : 名詞[音樂] （古代五音之一 相當于簡譜的「5」） a note of the ancient chinese five tone scale corre...
  • 模 : 模名詞1. （模子） mould; pattern; matrix 2. （姓氏） a surname
  • 式 : 名詞1 （樣式） type; style 2 （格式） pattern; form 3 （儀式; 典禮） ceremony; ritual 4 （自然科...
  • 特徵 : characteristic; feature; properties; aspect; trait
  • 模式 : model; mode; pattern; type; schema
  1. These researches will help us to discover changing or developing principle of things, support to decision - making, etc. the thesis addresses several key technical problems of pattern mining and its search based similarity in time series, which covers feature patterns and relationship patterns mining, pattern search based similarity in time series and stream time series and issues concerning application system implementation oriented to analysis. major contributions of this thesis include : 1. research of mining feature patterns in time series a novel method is proposed to discovery frequent pattern from time series

    本文在分析時間序列特點和實際應用需求的基礎上，針對時間序列的挖掘與相似性查找一些關鍵技術進行了研究，具體包括特徵模式挖掘、多序列關聯模式挖掘、相似性模式查找等方面，所做的工作和取得的創新成果體現在以下三個方面： 1 ）時間序列特徵模式挖掘研究首次提出了一種基於互關聯后繼樹模型的時序特徵模式挖掘方法。
  2. These researches will help us to discover changing or developing principle of things, support to decision - making, etc. the thesis addresses several key technical problems of pattern mining and its search based similarity in time series, which covers feature patterns and relationship patterns mining, pattern search based on similarity in time series and stream time series and issues concerning application system implementation oriented to analysis. major contributions of this thesis include : 1. research of mining feature patterns in time series a novel method is proposed to discovery frequent pattern from time series

    本文在分析時間序列特點和實際應用需求的基礎上，針對時間序列的挖掘與相似性查找一些關鍵技術進行了研究，具體包括特徵模式挖掘、多序列關聯模式挖掘、相似性模式查找，在線相似性查找以及最終的分析應用系統開發等方面，所做的工作和取得的創新成果體現在以下五個方面： 1 ）時間序列特徵模式挖掘研究首次提出了一種基於互關聯后繼樹模型的時序特徵模式挖掘方法。
  3. According to the complexity of pattern, the mined characteristic patterns could be sorted as frequent item, frequent sequence and frequent sub tree, etc. the paper builds tree - model of rna molecules and utilizes frequent sub tree mining algorithm to mine common topological patterns among rna secondary structures

    根據特徵模式復雜性，可分為頻繁項模式、頻繁序列模式以及頻繁子樹模式等。本文對rna分子建立樹形模型，利用頻繁子樹挖掘演算法挖掘rna二級結構中的公共拓撲模式。
  4. After that, we designed a new data model, called inter - related successive trees irst, to find frequent patterns from multiple time series without generation lots of candidate patterns

    在挖掘演算法實現上，根據序列特徵模式的有序性和重復性，提出了一種無須生成大量的候選模式集的互關聯后繼樹挖掘演算法。
  5. So we can utilize the special sensor data to create the currency feature collection via analyzing currency samples in statistics. the fake currency can be identified rapidly and exactly by this method

    利用特殊的傳感器數據，通過對貨幣樣本的統計分析建立貨幣的特徵模式集，實現對真偽的快速、準確識別。
  6. After that, we designed a new data model, called inter - related successive trees irst, to find frequent patterns from multiple time series without generation lots of candidate patterns. experiment illustrates that the method is simpler and more flexible, efficient and useful, compared with the previous methods

    在挖掘演算法實現上，根據序列特徵模式的有序性和重復性，提出了一種無須生成大量的候選模式集的互關聯后繼樹挖掘演算法，極大地提高了挖掘效率。
  7. Intelligent pid control and fuzzy control are analyzed in point of characteristic variable, and two analytical structure of control based on characteristic model are summarized

    本文剖析了智能pid控制和模糊控制等利用特徵量進行控制的本質，並對基於特徵模型控制的解析形式進行了探討，總結出兩類解析形式。
  8. Introduce searching engine technology of " event inspection " and define the modular description language in respect of its intrusion patterns, as well develop the corresponding rules parser

    採用了「事件檢測」引擎技術，並定義了一套入侵特徵模式描述語言及相應的規則語法解釋器。
  9. Therefore, by analyzing corner model and spatial moments functions, spatial - moments - generating polynomials are used as one decision rule of corner detection measure

    本文通過分析角特徵模型和空間矩函數，推導出空間矩多項式對角特徵象素點的判別準則。
  10. Frequent pattern mining technology in data mining is for mining characteristic patterns with frequent occurrences among data

    數據挖掘中的頻繁模式挖掘技術專注于發現數據中頻繁出現的特徵模式。
  11. The paper is concerned with the eigen functions of optical fields in dielectrics, the theories of optical waveguide eigen mode, the characteristics of optical waveguides diffracted field, the theories of mode coupling in optical waveguides and the spectral response theories and simulating method for arrayed waveguide grating. in this paper, a set of beam propagation theory based on eigen modes analysis is set up which afforded theoretical basis for designing and analyzing awg devices. experiment of fabricating sio _ ( 2 ) layer by using porus silicon is also carried out in this paper, which is a new method for fabricating waveguide cladding layer

    本文以設計陣列波導光柵器件為目標，對介質波導光場的本徵波函數，光波導本徵模理論，光波導衍射場特性，光波導模式耦合理論和awg器件的光譜響應特性及模擬方法進行了深入研究，建立了一套基於本徵模式場分析的光波導光束傳輸理論，為波導器件的設計提供正確的理論基礎，並嘗試了利用多孔硅生長厚的二氧化硅，用於製作波導包層材料。
  12. Abstract : the feature definition and the feature classification are given firstly. then the constraint - based parametric feature model of mechanical part is set up. a graph called feature relation graph is used to represent the feature model and a dynamic linked list to build and store the model. using the oop technique, the author realized the feature model. based on the parametric feature model, the feature hierarchical parametrization is analyzed and a parametric example is also given

    文摘:首先系統給出了機械產品造型領域特徵的定義以及特徵的分類；其次，建立了基於約束的機械產品零件的參數化特徵模型，並用特徵關系圖的形式表達特徵模型，同時採用動態鏈表構建特徵模型並用面向對象技術實現了零件的參數化特徵模型；最後結合實例分析了基於特徵模型的零件特徵分級參數化實現過程。
  13. Topography fractal dimension related with process of development of watershed physiognomy and represented degree of watershed development, v ) sediment yield intensity of watershed model reflected erosion characteristic of watershed model in different development phase. simulating experiment indicated that sediment yield intensity took on the trend that they changed from small to big then decreased gradually. the relationship of average sediment transport rate and sediment yield rate per mm rainfall with topography fractal demension is expressed by gaussian model and this model is similar with relationship between volume and surface area

    （ 5 ）流域模型產沙強度的變化反映了流域模型在不同發育階段的侵蝕特徵，模擬試驗研究結果表明：在整個流域模型地貌地貌的發育過程中，其產沙強度呈現由小到大，然後又逐漸減小的總體趨勢，流域模型單位降雨產沙率及平均輸沙率與地形分維數表現為gaussian模型關系，其關系形式與結論3中相對體積和表面積之間關系相似，進一步說明了以地形分維數表達地形變化的合理性。
  14. This article expatiates on significance and necessity of across cultural management, takes research on the comprehensions, characters, models of across cultural management " theories, analyses the foreign - capital and the joint - venture enterprises " management conditions, approaches that the goal of chinese enterprises management is to establish our own across cultural management model. to found the common management culture in the foreign capital and the joint - venture enterprise. this is development target and the general orientation in our country enterprise management

    本文闡述了企業進行跨文化管理的重要性和必要性，探討了跨文化管理的內涵、特徵、模式等一系列相關理論問題，並分析了在華外資及合資企業管理現狀及存在問題的基礎上提出了相應的對策建議，指出外資和合資企業必須抓住機遇，迎接挑戰，努力構建適合我國國情的中西合璧的共同管理文化，這是今後在華外資及合資企業管理發展的目標和方向，對跨文化管理的進一步探討將具有重要的理論和現實意義。
  15. In data mining aspect, this paper built a hotel crm oriented data mining model base on junshan hotel data warehouse combine decision tree with neural net data mining technology, and mined potential coustomer " s feature pattern from the model to forecast customer " s behavior, help hotel decision maker to adjust marketing strategy, reduce risk and make the right decision

    在數據挖掘方面，本文研究用決策樹和神經網路的數據挖掘技術相結合，在以軍山大酒店數據倉庫的基礎上，構建一個面向酒店crm的數據挖掘模型。從中挖掘出潛在客戶的特徵模式，預測客戶的行為，幫助酒店企業的決策者調整市場策略，減少風險，作出正確的決策。
  16. The new results of which are as follows : l. paricular seven identification mark from up - shallowing to exposed surface in taphrogenic trough have been built, the first modelling of the identification mark of carbonate sequence boundary is very important in theory

    首次將碳酸鹽巖層序變化識別特徵模式化，具有重要的理論意義。 2 、提出了影響油氣聚集勘探單元劃分的新見解。
  17. Therefore new attacks can be logged in modular description language and added to the attacks logging database. the description languages together with the event inspection function make the system ' s expandability and upgrading possible. 3

    這樣，可以用模式描述語言描述新的攻擊並增加到攻擊特徵模式庫中，同時增加新的事件檢測引擎來識別此攻擊，保證了系統的可擴展性要求，方便升級。
  18. What we do in this paper goes as : 1. we study and analysis the mathematic background of related basic algorithms about hydrological time - series data mining, including the typical algorithms of data pretreatment, characteristic mode mining and comparability measurement 2

    本文主要的工作如下： （ 1 ）對水文時間序列數據挖掘相關基本演算法進行了分析研究，包括數據預處理、特徵模式挖掘和相似性度量等典型的基本演算法。
  19. It induces the idea of pixel ' s 8 - neighbor fourier series, randomly chooses the local region of texture and computes the spectrum of it. after quantizing the spectrum, the spectrum histogram of the local area is extracted and then provided to the sofm network as a feature vector to train the net

    引入象素的八近鄰付立葉級數，計算隨機選取的紋理區域的紋理譜並量化得到譜直方圖，將其作為sofm網路的特徵模式輸入並訓練網路。
  20. Through the analysis on the process of hydrological time - series data mining, we can find that there are many similar parts in this process in spite of the complex composition of business logic application. therefore, the process of time series comparability search is composed of three continuous phases, such as data pretreatment, characteristic mode mining and comparability measurement. there are a lot of different algorithms performing same function in every data mining phase

    經過對水文時間序列數據挖掘過程的分析，可以得到，雖然其中的業務邏輯構成比較復雜，但其基本成份卻有許多相同或相似的部分，所以，一般可以將時間序列相似性搜索的過程分為數據預處理、特徵模式挖掘和相似性度量等幾個連續的階段，而每個階段里都有許多完成相同功能的基本演算法。
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