歸並演算法 的英文怎麼說

中文拼音 [guībàngyǎnsuànfǎ]
歸並演算法 英文
merge algorithm
  • 歸 : Ⅰ動詞1 （返回） return; go back to 2 （還給; 歸還） return sth to; give back to 3 （趨向或集中於...
  • 並 : 併名詞1. （山西太原的別稱） another name for taiyuan （in shanxi province）2. （姓氏） a surname
  • 演 : 動詞1 （演變; 演化） develop; evolve 2 （發揮） deduce; elaborate 3 （依照程式練習或計算） drill;...
  • 算 : Ⅰ動詞1 （計算數目） calculate; reckon; compute; figure 2 （計算進去） include; count 3 （謀劃;計...
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  1. We first present a number of desiderata for an xml - based query language, and based on this criterion, we introduce the syntax of a simple core ian - guage for semistructured data and then describe four extensions that have resulted in working prototypes. second, we present the algorithm for computing the result of a regular expression on data graph with cycles, the first - order interpretation of querying language for semistructured data, and explore structural recursion and bisimulation in semistructured data and propose an efficient and systematic way to computing a bisimulation between the two graphs. we also proposed and implemented a web querying system with database features

    基於這些準則，對一個簡單的半結構數據查詢核心語言的語法提出了兩方面擴充；給出了計算數據圖中正規表達式的演算法；對半結構數據查詢語言的一階邏輯描述、結構遞歸和數據圖的雙態模擬（ bisimulation ）等問題進行了研究，提出了一種判定數據圖的bisimulation演算法；在xml數據查詢語言研究的基礎上，設計並實現了一種具有數據庫查詢特性的web查詢系統原型。
  2. The property similarities, i. e. attribute similarity, position similarity and velocity similarity, were defined by the information obtained from fusion at level 1, and all were re - fused to calculate the result of group formation

    該演算法通過一級融合獲得的信息來定義特徵相似度，即歸屬相似度、位置相似度和速度相似度，並將這些相似度再次融合以求得合群結果。
  3. 3. we compare the result calculated by solving method for isotonic regression with matlab that we proposed with the result calculated by pava

    用matlab給出了保序回歸的一個求解演算法，並利用此演算法計算實例與以前的pava演算法結果進行了結果比較。
  4. In order to improve adaptability and robustness of algorithms, we present another toa / tdoa data fusion algorithm based on support vector machine regression for radiolocation. then we test the capability of location estimation algorithm in distinct channel environments, the results suggest that the location precision within 100m is accessed with 67 % probability by this method

    為了提高定位演算法的健壯性和自適應能力，論文提出了一種基於支持向量回歸（ svr ）對toa / tdoa進行數據融合的方法，並對演算法在不同的通道環境下的定位性能進行了模擬。
  5. In the paper, firstly the algorithm is proposed to extract web site subject catalogue automatically, and then is how to integrate subject catalog. finally the web site subject catalogues are evaluated according to the indicators

    本文首先提出了網站主題目錄自動抽取演算法，並進行網站主題目錄的歸並，然後根據不同評價指標進行網站主題目錄的重要性評價。
  6. We analyze the classifying results based on the fuzzy text classifying, think the wrong classifying results can be divided into two styles, and we propose a subordinative degree update algorithm aim at the two instances. combined the nizzy semantic relationship classifying algorithm, we propose the gradual classifier construction algorithm through checkouting and correcting the wrong results constantly with the update formula.

    在模糊文本分類的基礎上，對分類結果進行了分析，將分類錯誤歸結為兩種類型，並針對這兩種情況提出了隸屬度更新演算法，結合模糊語義關聯度的分類演算法提出了運用更新公式不斷對分類結果進行校驗糾錯進而逐漸地構造分類器的演算法。
  7. This article is composed of three parts, data collection, data filtering and machine learning. these three parts were assembled organically and enhanced the intelligence as far as it can at every point to improve on the traditionary word segmentation algorithm and inductive learnings

    三個子系統通過知識庫有機的結合在一起，並盡可能地在系統的各個環節利用agent的思想提高智能化，並對傳統的分詞演算法，歸納學習演算法做了融合和改進。
  8. This article canvass the status quo of the archive ' s automatization administration and the develop status of data mining, and discusses how to combine the data mining technology with the archive work from data cleaning means, data mining arithmetic, and data storage etc. and this article put forword a data mining syst em design idea. this article ' s structure is : first, in allusion to the archive data status quo, the pretreatment work of archive data that include data quality evaluation, data cleaning and data commut - ation process is bringed forword ; second, in the process of realizating data mining, the article discusses conception description, association rule, class three familiar means of applicating data mining, also put inforword the concrete arithmetic and the program design chart, and discusses the range and the foreground of all kinds of arithmetic when they are applicated in the archive ; third, the base of so you say, this article also discusses the importance of the archice applicate data storage and the means of realizing it ; last, the article discusses seval important problem of realizing an archive data mining system from data, diversity, arithmetic multiformity, mining result variety and the data pretreatment visibility, mining object descriptive visibility, mining process visibility, mining result visibil ity, user demand description and problem defining etc aspect. the article ' s core is how to import data mining technology in the archive work

    本文評述了檔案自動化管理現狀和數據挖掘技術的發展狀況，從數據清洗方法、數據挖掘演算法、數據倉庫的建立等方面論述了如何將數據挖掘技術與檔案工作相結合的具體思路，並提出了一個數據挖掘系統的設計思想。文章首先，針對檔案數據的現狀，提出了應對檔案數據進行預處理工作，包括數據質量評估、數據清理、數據變換和歸約等過程；其次，在具體實現數據挖掘過程中，本文結合檔案數據的特點探討了概念描述、關聯規則、分類等三種常見挖掘形式的實現方法，提出了具體的實現演算法和程序設計框圖，並論述了各種演算法在檔案工作中的應用范圍及前景；第三，在上述基礎上，又論述數據倉庫在檔案數據挖掘中的重要性並提出了實現一個檔案數據倉庫的方法；最後，從處理數據的多樣性、演算法的多樣性、挖掘結果的多樣性、數據預處理可視化、挖掘對象描述的可視化、挖掘過程可視化、結果顯示可視化、用戶需求的描述及問題定義等幾方面討論了實現一個檔案數據挖掘系統的幾個重點問題。全文以探討如何將數據挖掘技術引入到具體的檔案工作實踐中為核心。
  9. In the implementation of data classifier, we describe extraction and management of conceptual hierarchy for data, also design an automatic extraction algorithm for numeric data. in this section, we still provide the two algorithms of concept - based attribute - oriented induction and evaluating classification scheme and the visualization of classification rule. finally, the data classifier is tested in databas the results show that it is practical and its performance meet the requirement of designing

    然後，在數據分類器的實現中，論述了數據的概念層次提取和管理，並對數值型數據給出了一個自動提取概念層次演算法；同時給出了基於面向屬性歸納的分類演算法、分類模式的評價演算法和分類規則的可視化方法。
  10. Two block time - recursive algorithms are developed for the efficient and fast computation of the 1 - d rdgt coefficients and for the fast reconstruction of the original signal from the coefficients in both the critical sampling case and the oversampling case. the two algorithms are implemented respectively by a unified parallel lattice structure. and the computational complexity analysis and comparison show that the proposed algorithms provide a more efficient and faster method for the computation of the discrete gabor transforms

    首先論證了一維rdgt系數求解演算法和由變換系數重建原信號演算法，不論是在臨界抽樣條件下還是在過抽樣條件下，都同樣具有塊時間遞歸特性，並提出了相應的塊時間遞歸演算法及其并行格型結構實現方法，計算機模擬驗證了并行格型結構實現的可行性，計算復雜性分析與比較也說明了rdgt塊時間遞歸演算法的并行格型結構在計算時間方面所具有的高速和高效性能。
  11. As an important component of the above researches, this paper covers following aspects : ? firstly, product design theories are summarized, status and development trend of machinery product design are analyzed, and application of knowledge based design method in machinery product design is put forward. ? kbe ( knowledge based engineering ) theories such as knowledge acquisition, representation and storage are discussed, kbe concept is integrated with ug secondary development technology, and design knowledge is induced and stored to establish the design knowledge base. ? product case representation is researched, a hierarchical tree type product case library for complex products is established, retrieve strategy for cases of the nearest filed is put forward and corresponding algorithm is given

    本文的主要研究內容及成果如下: ?對產品設計理論和方法進行了總結和概括，分析了機械產品設計的現狀和發展趨勢，將基於知識的設計方法應用到機械產品的設計中; ?研究了知識獲取、表達、存儲等kbe理論，並將kbe思想應用到ug二次開發中，將設計知識歸納存儲，建立了設計知識庫; ?研究了產品實例表示，建立了復雜產品層次樹狀產品實例庫，介紹了最近鄰域實例檢索策略並給出相應的演算法; ?研究了基於知識重用的三維產品建模技術，研究了在設計過程中的設計資源的重用，計算過程的重用，計算數據的重用，推理過程的重用等等;介紹了基於設計重用的凸輪三維模型的實現方法。
  12. Neural network control is an important mode of intelligent control, and it is widely used in branches of control science, first, the architecture and the learning rule ( error back propagation algorithm ) of multiplayered neural network which is widely used in control system are presentedo especially, the paper refers to the architecture of diagonal recurrent neural network and its learning algorithm - - - - - recurrent prediction error algorithm because of its faster convergence with low computing costo next, before introducing the neural network control to the double close loop dc driver system, the controllers of current and velocity loop are designed using engineering design approach after analysis of the system, simulation models of the system are created

    神經網路控制是智能控制的重要方式之一，它廣泛應用於自動控制學科各個領域。本文首先敘述了控制系統中常用的多層前饋網路結構及演算法（ bp演算法） ，特別提及了能夠較好描述系統動態性能的對角遞歸神經網路和在用遞推預報誤差演算法訓練drnn時取得了較快的收斂速度。其次，應用工程方法分析設計了tf - 1350糖分離機的電流、轉速雙閉環直流調速系統的控制器，作為引入神經網路控制的設計基礎，並建立了系統的模擬模型。
  13. The equations of the mean value functions and the covariance functions are established for dynamical systems whose inputs are fuzzy stochastic processes. an existence and uniqueness theorem of ito fuzzy stochastic differential equations is proved, some explicit representations of solutions and the equations of statistical characteristics are deduced for linear fuzzy stochastic differential equations, and numerical methods to nonlinear fuzzy stochastic differential equations are proposed, the conditions for stability and observability of fuzzy linear systems are derived. the kalman filter algorithms of linear fuzzy stochastic systems are brought forward

    主要成果包括：提出了模糊隨機變量協方差和反向協方差的概念；研究了二階模糊隨機變量的均方收斂性，並在此基礎上得到了均方模糊隨機分析、平穩模糊隨機過程及其譜分解的若干定理；根據均方模糊隨機分析理論，得到了輸入為模糊隨機過程的線性系統的輸出輸入統計特徵關系方程；證明了ito型模糊隨機微分方程解的存在唯一性，並給出了ito型線性模糊隨機微分方程解的表達式，統計特徵方程以及非線性模糊隨機微分方程的數值解法；得到了模糊線性系統的穩定性和可觀性條件、線性模糊隨機系統統計特徵方程和線性模糊隨機系統的kalman濾波演算法；研究了當觀測值是模糊數據時，線性回歸模型的建立。
  14. 4. combining the attribute selection method with rough analysis, a classifier modeling method is put forward, which owns the ability of deleting redundant attributes and deducing rules based on rough analysis

    將屬性選擇方法與rough分析相結合，利用rough分析可以剔除屬性集合中冗餘屬性並進行規則歸納的能力，提出一種基於rough分析的分類器建模演算法。
  15. Adding momentum item while correcting weight and limiting range of input value reduce error and improve diagnosis correctness greatly. while normalizing the input value, a new way is put forward that normalization is performed item by item according to its sort. in this way error training can avoid going into the flat field that is caused by existing of 0 or 1 of the input value

    本文首先分析了故障診斷和神經網路的基本理論，並在此基礎上提出了神經網路對于變壓器故障診斷系統的適用性；文中將bp神經網路演算法用計算機實現；並針對其本身存在的一些缺點提出了一系列改進措施，通過在修正權值的時候增加動量項，並且限制輸入值范圍來減小誤差、提高系統的診斷正確率；在對輸入數據進行歸一化處理的時候，採取按類逐項歸一化的方法，避免了輸入數據出現0或者1而使訓練進入平坦區。
  16. To the problem that finding rules in enormous data is very time - consumable and the expansibility of existed algorithms is not very good, the thesis proposes a new method to discompose large data table based on the concepts of positive region and the importance of attribute in rough set theory. existed algorithms of rule deduction can be applied directly on the tree structure obtained by partition and the times for computation will be reduced observably. validation of information entropy on the partition structure shows that the partition of data table will not lead to the loss of information, while the computing speed increases at the same time, which reflects the practicability and rationality about the partition of large data table

    針對海量數據處理起來極為耗時，現有演算法拓展性較差的問題，基於rough集理論中的集合正域概念以及由此定義的屬性重要性概念，提出一種大型數據表分解演算法，現有的規則歸納演算法可直接在分解得到的樹型結構上應用，將大大降低知識發現的時間，並從信息理論的角度利用信息熵概念對該分解結構進行了驗證，分析了這種分解的實用性及合理性，揭示了這種分解結構在提高計算速度的同時不會損失信息量。
  17. I will particularly discuss the algorithm of region segmentation based on projection and the improved tracking method based on moving prediction

    著重討論本文提出的基於「投影法」的目標區域分割與歸並演算法和改進的運動預測跟蹤方法。
  18. The improved merging algorithm

    常規歸並演算法的一種改進
  19. In this paper, commonly solution for router alias problem is described. on the basis of analyzing of the key technique, a router alias discovery and merging algorithm is proposed. the algorithm is based on the protocols of network and analysis with the data. in this way, our algorithm transforms the set of interfaces into a set of routers which reflects the real connectivity of routers. with the algorithm the accuracy and the integrity in router discovering are improved

    描述了現行的路由器介面解決方法，在對關鍵技術進行了分析的基礎上，提出了並實現了一種路由器別名解析歸並演算法，該演算法通過對協議進行分析，綜合數據融合技術，將路由器的介面地址集合轉換為能夠反映實際網路狀況的路由器集合，從而較好地提高了路由器探測的準確性和完整性。
  20. In this class we describe support vector machines for regression estimation and illustrate the connection between svms and basis pursuit de - noising

    課中將敘述支持向量機的回歸估演算法並舉例說明支持向量機和基礎追蹤去雜訊法之間的關系。
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