聚合數據類型 的英文怎麼說

中文拼音 [jùgěshǔjùlèixíng]
聚合數據類型 英文
aggregate data types
  • 聚 : 動詞（聚集; 聚積） assemble; gather; get together
  • 合 : 合量詞（容量單位） ge, a unit of dry measure for grain （=1 decilitre）
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 據 : 據Ⅰ動詞1 （占據） occupy; seize 2 （憑借; 依靠） rely on; depend on Ⅱ介詞（按照; 依據） according...
  • 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...
  • 聚合 : 1 （聚集到一起） get together2 [化學] （單體結合成高分子化合物） polymerization; polymerize 3 [生...
  • 數據 : data; record; information
  • 類型 : type; mold; form; cut類型論 theory of types; 類型語句 [計算機] type statements
  1. Demonstrates the use of basic data types and aggregated types in a soap server

    說明如何在soap服務器中使用基本數據類型和聚合類型。
  2. Soapdatatypes sample : demonstrates basic data types and aggregated types in a soap server

    > soapdatatypes示例：演示soap服務器中的基本數據類型和聚合類型
  3. And effects on improving original inversion image are clear by associated use of post treatments, variance truncating, median filtering and classification analysis

    依據模型參數方差向量，本文提出了方差截斷后處理方法，並結合中值濾波和聚類分析，對原始反演圖像進行去噪后處理，成效明顯。
  4. In view of the problems existing in air traffic control system that there are many types of tracking information and quality of the information is not consistent with time segments technique, a new algorithm, which is based on data of multi - types sensors is presented of time normalizing - extrapolating for data time - alignment

    摘要針對空中交通管理中的多種類型航跡信息以及信息質量不一致等問題，採用了聚類的時間片技術，提出一種基於多類型傳感器數據信息的時間歸一化外推數據對準演算法，融合航跡數據，提高了航跡信息的一致性和準確性。
  5. In order to link the method of mathematics with the knowledge of concrete science, we have investigated many professionals all - over the nation who are major in concrete research in the field of construction, water conservancy and railway engineering by enquiring papers. on the basis of this investigation, we have obtained the cluster index set of mathematical models by delphi which is a famous mathematical method of statistics

    為了使數學方法和專業知識能夠有機結合，在課題研究中首次進行了全國性的問卷調查，向建築、水利、鐵道等若干部門發出問卷90份，在此基礎上建立了數學模型中的聚類指標權重集，並採用德爾斐（ delphi ）法對收集到的數據進行了科學、客觀地處理。
  6. The paper puts forward the clustering algorithm includes : clustering based on grid and iterative, enhanced clustering algorithm base on density and k - medoids, enhanced k - means algorithm ( optimize chooseing consult _ points in iterative process ), enhanced clustering algorithm base on distance. they can overcome many limitations ( some traditional algorithms terminate in local optimization. many results of cluster are roundness, too many times in partition iterative process ), which are related to the static architecture of traditional model

    在傳統聚類演算法的基礎上，結合我們科學數據挖掘的應用對象?分子動力學數據，提出了迭代網格聚類演算法， k -平均和基於密度結合的聚類演算法，迭代過程中優化選擇中心點的k -平均方法，以及改進型的基於距離的聚類演算法等模式識別方法，能夠解決傳統演算法帶來的諸多問題（比如一些傳統的聚類演算法常常收斂于局部最優，發現都模式都趨近於球形，劃分方法中迭代次數過多帶來的效率問題） 。
  7. Cf is a kind of non - different recommendation to all customers, so it is may appear that the company spend much cost but have little revenue. recently a new recommend technology base on lifetime value of customers have emerged, the centre of the technology is to use the weighed sum of the three variable to classify the customers and the reason of use weighed variable is that think about the relative important degree. then we can recommend products according to the association rule in the classify of same clv. the shortcoming of this recommendation is that the recommendation may have some error when the customers ’ data is not enough to form regular value

    近年來出現了一種採用基於客戶生命周期值的加權rfm （表示客戶生命周期的三個指標變量）技術的推薦方法，這一技術的核心思想就是採用這三個客戶屬性變量的加權和的方法來對客戶進行聚類，其中為變量加權是考慮到不同變量對顧客產生的不同重要程度的影響。對符合某一生命周期類型的客戶按照商品挖掘關聯技術進行商品推薦。這種推薦方法的弊端在於當客戶的交易數據不足以形成規律化的量值時，推薦可能會出現偏差。
  8. They are kernel knowledge of distributed multidatabase too0 then, based on a reasonable classified frame of schema collision, the paper probes into the strategies realizing schema integration and query decomposition using the good " low coupling, high cohesion " characteristics of component ; and then, a improved model of federal database architecture is designed exerting the virtue of independence and assembly of component <, at last, i had completed the work of developing a demo for the integration of audit information systems with the helps of others, which proved that the improved model of federal database architecture is practicalo

    我在提出一個合理的模式沖突分類框架的基礎上，探討了如何運用組件技術的低耦合、高內聚的良好特性來實現數據模式集成和查詢分解的策略；同時，運用組件技術的獨立性和可裝配的優點，設計了一個改進的聯邦數據庫體系結構模型。最後，在上述理論的指導下，本人與協作者完成了湖南省審計廳信息集成原型系統的設計和開發，總體上證實了改進后聯邦數據庫體系結構模型的可行性。
  9. Model - based method : suppose some mathematical models for each cluster, and attempt to optimize the fit between the data and some mathematical model

    色譜指紋譜的智能聚類分析在中醫濕證辨別方面的研究基於模型的方法:為每個簇假定了一個模型，尋找數據對給定模型的最佳擬合。
  10. First, the basic theory of the competitiveness is analyzed, evaluating indexes which conclude relative and absolute indexes basic on the last literatures are set up. second, because the data are too many and computing time is too long, the competitiveness of science and technology of 30 areas are clustered using fuzzy clustering model, the areas of the whole nation are clustered several kinds and we can draw some conclusions of same kind. evaluating the competitiveness using single model can produce white noise, so combinational models which concluding neural network, fuzzy theory and genetic algorithm are brought forward to evaluate the competitiveness of areas which are in the same kind with fujian province in the test

    本文首先分析科技競爭力的基本理論，並根據以往研究科技競爭力文獻，建立包含絕對指標和相對指標的評價科技競爭力評價指標體系，其次，針對評價福建省科技競爭力在全國范圍內的排名情況數據較多，計算時間較長的具體情況，利用模糊神經網路模型對全國30個省市自治區科技競爭力水平進行聚類分析，將科技競爭力水平接近的地區聚為一類，得出科技競爭力水平相近地區情況，而後，針對已有文獻科技競爭力評價只是利用單一模型可能產生噪聲，影響評價結果，並且主觀性較強的缺點，本文將神經網路、模糊數學、遺傳演算法等智能演算法組合，利用組合評價模型對福建省和與福建省同在一類的其它地區的科技競爭力水平進行橫向、縱向評價，得出福建省在全國范圍內的科技競爭力水平排名。
  11. This essay first dicussed the key steps of preprocessing in web log mining, which include data abstract, data cleaning, user and session identification and path completion etc. especialy we proposed the algorithm of the web log data preprocessing include frame page. and secondly we discussed the technology of building an adaptive web site, include log data cluster mining, user visiting pattern learning, site structure transformation and presentation etc. ; and we proposed indual user log visiting pattern, user model onling learning algorithm, index pages synthesising algorithm, site structure transformation and presentation algorithm and so on

    本論文首先討論了web日誌挖掘預處理中的各步驟：數據抽象、數據清洗、用戶與會話識別、訪問路徑補全，給出了每一步驟的演算法實現；並特別討論了含有frame頁的日誌數據預處理過濾演算法。其次討論了構建自適應站點技術，包括日誌數據聚類挖掘、用戶訪問模式學習、站點結構轉化與呈現等；提出了單用戶日誌訪問模型，給出了用戶模型在線學習演算法、索引頁面綜合演算法、站點結構轉化及呈現演算法等。
  12. After researching deep into the building and combination on model based on database, the author puts forth a search algorithm of data mining by use of prototype library and a data - clustering algorithm on the basis of expanded cf - tree

    本文對基於數據庫的模型生成和模型組合作了較深入的研究，給出了基於原型庫的數據開采搜索演算法和基於擴充cf -樹數據聚類演算法。
  13. In order to solve the problem how to get expert knowledge and how to detect fault, a new settlement is presented in this paper, which is based on simulation. in the beginning of this paper, the writer introduces some conception of conventional expert systems, and analyzes its localization or disadvantage. according to the special of electronic devices, artificial intelligent fault detecting system of a certain radar based on simulation is put forward ; the paper gives the detail of the top bottom design for an example, and gives the solution for remote diagnosing in internet

    本文主要試圖解決這么幾個問題：面向故障診斷進行模擬建模；對模擬模型進行故障注入，獲取故障模式，從而獲取系統全面的專家知識；採用模糊神經網路對這些知識進行規約和抽象；採用模糊聚類演算法對專家知識進行診斷現場的融合；採用虛擬儀表獲取信號數據，運用小波變換等提取故障徵兆，實現故障的診斷和預測；基於模擬模型構建嵌套推理演算法，實現模擬故障排除訓練和考核，分析崗位人員對原理的掌握情況。
  14. The zones of coexisting distribution can be influenced by hydrological conditions. in this paper, a method is used to estimate the biomass contribution of per population to total biomass that combined flow cytometric analyzing data and size - fractionated chlorophyll a data. the results of autumn cruise shows that synechococcus is a important contributor to pico - chlorophyll a, especially in e2, e6, e7 also be true to total chlorophyll a, which the percent value is 69 %, 56 %, 56 % respectively

    本文還嘗試把流式細胞計分析的數據與葉綠素a分級數據結合，粗略估計微微型浮游植物各類型的葉綠素a貢獻，對秋季結果分析表明，在秋季聚球藻是pico一葉綠素a的主要貢獻者，在e2 、 e7 、 e6站甚至是總葉綠素a的主要貢獻者，分別達到69 % 、 56 % 、 56 % ，不過本法還存在許多缺陷，有待于進一步探討。
  15. The following results are achieved : ( 1 ) in accordance with the empirical electron theory of solids and molecules, considering the number of covalent bond pairs on the strongest bond in a segregation structure na, the elements for matrix - strengthening can be chosen. ( 2 ) on the basis of the available phase - equilibrium thermodynamics calculation of alloy system and phase diagrams, which have been worked out, the contents of alloy elements can be identified with reference to the types, quantity and phase - transformation of carbides. ( 3 ) both the values relating to toughness ( including bending strength, yield strength, impact value of unnotched samples ) and hardness of new dm9 die steel are higher than those of crl2mov die steel

    結果得出： （ 1 ）根據固體與分子經驗電子理論，利用偏聚結構單元的最強共價鍵上的共用電子對數n _ a ，可以選擇工模具鋼基體相的強化元素； （ 2 ）根據合金系相平衡熱力學計算及已有的相圖，可以碳化物類型、數量及其相變確定合金元素含量； （ 3 ）新型dm9鋼在強韌性（抗彎強度、屈服強度、無缺口沖擊值）和硬度方面均高於cr12mov鋼； （ 4 ）以dm9鋼與6crw2si 、 7cr2wmovsi （ dm7 ） 、 h13和cr12mov四種模具鋼的實驗比較，進一步驗證了上述冷作模具鋼合金設計方案是合適的。
  16. According to the viewpoint of prof. f. h. wittmann and the development trend of concrete science, the author has successfully combined the theory of fuzzy cluster analysis with the quality control work of rmc production by mathematical modeling, hi actual work, there are some differences of concrete mix proportion and concrete performance index between the standard sample that is accord with all demands of hpc and differential sample that is mainly accord with demands of mix design by comparing and clustering. therefore, rmc is up to the standard of hpc after adjusting these differences

    本文正是基於上述指導思想和混凝土材料科學的發展趨勢，把模糊聚類的分析理論和混凝土質量控制工作中存在的問題，通過建立數學模型將二者有效地結合起來，其目的及意義是：在實際工作中，將基本符合設計要求的若干組混凝土配合比數據、性能指標數據，與經過工程實際檢驗、符合高性能混凝土各項指標要求的混凝土進行比較、歸類，找出差異，調整參數，實現混凝土生產的高性能化。
  17. The distribution and structure of the allelic polymorphism data are analyzed and it is pointed out that the distribution of allelic polymorphism data reveals the characteristic of closed data ( also named as compositional data or data of constant sum ) it is interpreted that the correlation structure of the allelic polymorphism data contains null correlations introduced by " closure " and the statistical distribution of the data is not normal because of its constant row sum, which resulted in great difficulties in analyzing the data with traditional multiple linear statistical methods such as principal component analysis, factor analysis, cluster analysis and canonical correlation analysis

    摘要長期以來，對于多維基因多態性數據的多元統計分析，如計算遺傳距離時所用的聚類分析、分析群體遺傳結構時所用的主成分分析、因子分析和典型相關分析等，一直應用為無約束條件數據而設計的經典多元線性分析方法，並沒有注意基因多態性數據的「閉合效應」所帶來的問題。
  18. Stsc does not only reduction statistical performance of multi - hops paths but also decrease estimation of upper bound of traffic delay and tail distribution. we also present generalized integrated service model ( cis model ) that founds bandwidth brokers in autonomous systems ( as ) that support traffic aggregating and traffic tagging. thus as are able to work under hybrid mode, so cis model is more adaptive to integrated data communication in broad bandwidth ip network

    本文還提出了廣義集成服務模型，通過在支持通信量聚合和標記的自治域中設定帶寬代理和在網路邊界實施面向應用通信量特徵的分類機制，使得自治域能夠在混合模式下工作，從而能更好地適用於寬帶ip網路中的綜合數據通信。
  19. Variable - aggregate data type

    可變聚合數據類型
  20. Fixed - aggregate data type

    固定聚合數據類型
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