統計分類器 的英文怎麼說

中文拼音 [tǒngjìfēnlèiqì]
統計分類器 英文
statistical sorter
  • 統 : Ⅰ名詞1 （事物間連續的關系） interconnected system 2 （衣服等的筒狀部分） any tube shaped part of ...
  • 計 : Ⅰ動詞1 （計算） count; compute; calculate; number 2 （設想; 打算） plan; plot Ⅱ名詞1 （測量或計算...
  • 分 : 分Ⅰ名詞1. （成分） component 2. （職責和權利的限度） what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] （料想） judge
  • 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...
  • 器 : 名詞1. （器具） implement; utensil; ware 2. （器官） organ 3. （度量; 才能） capacity; talent 4. （姓氏） a surname
  • 統計 : 1 （對有關數據的搜集、整理、計算和分析） statistics; census; numerical statement; vital statistic...
  1. In the phase of image pretreatment, the main jobs of this system includes dot operation, image swell, positive chiasma transform, edge extraction and edge swell, outline track, etc. because the visual system itself is a neural system, systematizer designed in the paper adopts bp neural network to accomplish computer image identification, the system has some advantages over the traditional one, but with the extensive application of bp neural network, the problems existing in bp neural network come forth increasingly

    在系統軟體設計部分中，首先是對所選零件進行模式識別，包括圖像預處理、特徵提取和分類器設計三個階段，其中在圖像預處理階段本系統主要做的工作有：點運算、圖像增強、正交變換、邊緣提取和邊緣增強、輪廓跟蹤等。由於視覺系統本身就是一個神經系統，故本文所設計的分類器採用bp神經網路，其具有一些傳統技術所沒有的優點。
  2. Through the analysis of the user access characteristics in the net, the " file burst access, fba " and the " server tide access, sta " characteristics are discovered. based on these two characteristics and some existing technology, a file - oriented distributed system " dftp " model is built to solve the problems in the lans. this system is built upon the application level, it is transparent to the end users

    本文重點分析了目前在這類網路中文件下載服務存在的一些問題，並對其自身特點和用戶對文件的訪問特點進行統計分析，提出了「文件的爆發訪問（ fileburstaccess ， fba ） 」和「服務器的潮汐訪問（ servertideaccess ， sta ） 」這兩個網路中用戶的基本訪問特點。
  3. The support vector classifier is adopted to identify fault in the two types, and the grid search method based on cross - validation is chosen to determine model parameters

    該模型將變壓器故障分為放電性和過熱性兩大類，通過統計分析尋求特徵量區分類間的故障類型，採用支持向量機識別類內的故障類型，利用基於交叉驗證的網格搜索法來確定支持向量機的參數。
  4. Classification is to predict the class label of unknown data with supervisor obtained from experiential data, which is a basic problem in pattern recognitionx machine learning and statistics, as well as in data mining

    分類即通過由經驗數據訓練得到的分類器預測未知數據的歸屬，是模式識別、機器學習、統計分析等領域的一個基本問題，也是一種最常見的數據挖掘任務。
  5. This thesis explains the necessity of the character recognition technology of the computer at first, describe the meaning in which the handwritten numeral discerns ; pretreatment technology of handwritten numeral recognition, including two value, line segmentation, word segmentation smooth, removing noising, standardization and thinning are discussed two value concretely discusses whole threshold value, some threshold value, dynamic threshold value and utilize space information to carry on threshold, which are several kinds of common method of choosing threshold value, especially utilize space information to carry on threshold value is describe in detail ; adopting to the foundation of thinning based on mathematics morphology, thinning algorithm of serials same and thinning algorithm of protecting shape are discussed ; afterwards, according to principle ' s diagram of the on - line character recognition, by analyzing the structure feature of the handwritten numeral, this thesis has proposed the online recognition te chnology of the free handwritten numeral based on the stroke feature and the online recognition technology of the free handwritten numeral based on the multistage classifying device. detail narrated noise removing, stroke characteristic definition and discernment, distance criterion of whole word match ; then under the foundation of handwritten numeral segmentation, off - line handwritten numeral recognition is researched. especially minimum distance classifying device, tree classifying device and adaptive resonance ( art ) network classifying device is discussed at the same time, believes degree analyses are introduced to integrate a lot of classifying devices ; at the end, the typical application of the handwritten numeral recognition was briefly narrated, its application in extensive data statistics, financial affairs, tax, finance and mail sorting have been explored

    二值化時對整體閾值二值化、局部閾值二值化、動態閾值二值化和利用空間信息進行閾值選取幾種常用的閾值選取方法進行討論，特別對利用空間信息進行閾值選取進行了詳細論述；在對通過對基於數學形態學的細化的基礎上，討論序貫同倫形態細化演算法和保形的快速形態細化演算法；然後依據聯機字元識別原理框圖，分析了手寫數字的結構特點，提出了基於筆劃特徵的任意手寫數字在線識別技術和基於多級分類器任意手寫數字在線識別技術，對其中涉及的筆劃識別前的噪聲處理、筆劃間特徵量的定義及識別、整字匹配的距離準則進行了詳細敘述；繼而在對手寫數字的分割的基礎下對脫機手寫數字識別進行了研究，對基於最小距離分類器字元識別、基於樹分類器的字元識別、基於自適應共振（ art ）網路的字元識別分別進行了詳細討論，並引入置信度分析將多個分類器進行了混合集成；最後簡單闡述了手寫數字識別的典型應用，對其在大規模數據統計、財務、稅務、金融及郵件分揀中的應用進行了探索。
  6. Their pd signals are measured and measured cables are anatomized to observe their discharging trace. implement of picking - up character and mode classifying are introduced, and expatiate the principle of artificial neural networks. soft program is necessary to pick - up the character of pd signals and classify pd mode

    論文介紹了由特徵量提取器和模式識別分類器兩大模塊構成的模式識別系統，闡述了人工神經網路的模式識別原理，本文一方面採用信號的prpd模式的放電次數和統計運算元作為bpnn的輸入信號，設計了相應的bpnn模式識別程序；另一方面採用prpd模式的統計運算元作為sart人工神經網路的輸入，設計了相應的sart神經網路模式識別程序。
  7. In this article, based on theory of the rcm technology and exception - tree, the equipment - management programmer and the faulty category in dlpec ( dalian petro - chemistry corporation ) are discussed in details, and the equipment - management patterns for the enterprise are brought forward. for all kinds of equipments, some measurements on the maintaining and governing are established ; moreover, the system function mode structure is also schemed out, which responses the working situation of equipment in the enterprise in detail and is composed of equipment technology document - management, equipment document - management, equipment integrating - management, equipment maintaining - plan management, equipment stat. analysis management, integrating - query system etc ; at the same time, the whole system codes are devised, which include equipment category code, engineering planning sort code, spare part sort code, testing report catalogue code of pressure vessel pile, equipment stat

    本文以大連石化公司的設備管理程序和設備種類為研究對象，應用rcm的技術和故障樹原理，提出了具體的適合於該企業的設備管理模式；針對各種不同類型的設備，制訂出相應的維修管理對策；並運用信息系統分析與設計方法，設計出了比較詳細的、能真實反應企業設備工作狀態的系統功能模型結構，包括：設備技術文檔管理、設備檔案管理、設備綜合管理、設備維修計劃管理、設備統計分析管理、綜合查詢系統等；同時，設計出了比較完整的系統代碼，主要包括：設備類別編碼、工程計劃分類編碼、備品備件類別編碼、壓力容器管道檢驗報告目錄編碼、設備統計類別編碼等；另外，對數據庫設計、輸入輸出設計、系統的實施與測試等提出了比較具體的方案。
  8. With continuous wavelet transform as feature extraction method and neural network as classifier, a transmission ge ar wear estimation system is designed and applied in estimating the wear condition of the gear

    以連續小波變換作為變速箱齒輪的磨損特徵向量的提取方法、以神經網路作為分類器，設計了變速箱齒輪的磨損估計系統，並應用於變速箱齒輪的磨損狀況估計。
  9. Based on the clonal selection theory and immune memory mechanism in the natural immune system, a novel artificial immune system algorithm, clonal strategy algorithm based on the immune memory csaim is proposed in this paper. the algorithm realizes the evolution of antibody population and the evolution of memory unit at the same time, and by using clonal selection operator, the global optimal computation can be combined with the local searching

    人工免疫系統ais是一新的模擬自然免疫系統的計算智能方法，它受生物免疫機制的啟發，通過學習外界物質的自然防禦機理，提供噪聲忍耐自組織自學習記憶等進化學習機制，結合了分類器神經網路和機器推理等的特點，因此具有提供解決問題新穎方法的潛力。
  10. According to the utilized face database, three facial expression categories are defined : neutral, happiness and anger. the categorization architecture is based on a som. in order to eliminate influence of initial values and sequence of input examples in som, supervised learning is introduced into the training stage

    分類器的設計採用的是基於自組織神經網路的方法，為了克服傳統的自組織映射神經網路的訓練結果容易受訓練樣本的輸入順序和權值初值影響，而導致訓練結果不符合期望的問題，因此，在訓練過程中引入了監督機制，以使訓練結果與期望相符。
  11. It combines two remarkable ideas : maximum margin classifiers with low capacity and therefore good generalization, and implicit feature spaces defined by kernel function. theoretically underpinned by these ideas, svm can overcome the curse - of - dimensionality and over - fitting problems elegantly. due to its remarkable performance on many applications, svm is receiving increasing attention now

    支持向量機是基於統計學習理論的結構風險最小化原則的，它將最大分界面分類器思想和基於核的方法結合在一起，表現出了很好的泛化能力，並且可以有效地克服維數災難和過擬合等問題，因此受到越來越多的研究人員的關注。
  12. Based on the applications of classifier fusion theory, improved algorithms are proposed in those three different modules of avlpr - system. first, the error reduction for simple average ( sa ) and weighted average ( wa ) in the classifier outputs of the measurement level is analyzed

    本文嘗試從分類器融合理論框架出發，考慮車輛牌照識別系統的設計問題，針對該系統的車牌檢測、車牌圖象二值化和車牌字元識別等三個不同模塊，提出相應的演算法。
  13. Employing idef to establish framework, dynamitic and functional models, the system also designs a non - back shifting search arithmetic for double - scanning buffer zone and a double - track structure for searching process. according to the characteristics of e - mail control and electronic documentary mining technology, bayes classifiers are made to strengthen the electronic control system in which electronic documentary mining technology is used ; and moreover the double systematic structure of c / s & b / s is constructor with the presence of some function relationships in mining process as well as systematic mining and program handling

    系統採用i _ 2def方法建立了結構模型、動態模型和功能模型；設計了雙掃描緩沖區的無回溯搜索演算法及搜索過程的雙棧結構；根據電子郵件監控系統和電子文檔挖掘技術的特徵，設計了bayes分類器並使用了增強型方法，提出了一種運用電子文檔挖掘技術的電子郵件監控系統；構建了c / s和b / s雙重體系結構；並給出了挖掘過程的部分函數調用關系及系統挖掘的處理過程、部分處理程序。
  14. This article, aiming at the specialties of rmb currency image, puts forward a new method using linear transform of image gray to diminish the influence of the background image noises in order to give prominence to edge information of the image. then the edge characteristic information image is obtained by edge detecting using simple statistics. by dividing the edge characteristic information image in the width direction into different areas, getting the number of the edge characteristic points of different areas as input vectors to random masks and optimized by ga

    文中提出了利用圖像灰度線性變換來抑制背景圖案噪聲的影響，突出圖像邊緣信息；然後採用簡單統計法進行邊緣檢測，得到邊緣特徵信息圖；最後通過對邊緣特徵信息圖在寬度方向上進行均勻劃分成不同的區域，統計不同區域的邊緣特徵點的數目作為神經網路的初始輸入向量，對初始輸入向量用隨機掩碼處理和遺傳演算法進行優化得到最終輸入向量，通過三層bp神經網路分類器進行分類，達到了人民幣識別的目的。
  15. According to the requirements to pd pattern auto - recognition, this paper studies systematically the basic theories and realizable methods for auto - recognition of pd gray intensity image : ( 1 ) in the requirement of on - line pd monitoring for transformer, several discharge models are designed and the relevant experiment methods projected. with discharge model tests, a lot of discharge sample data is acquired. on the base of systematical research on recognition for pd gray intensity image, this paper puts forward two kinds of fractal features, the 2nd generalized dimensions of original pd images and fractal dimensions of high gray intensity pd images, and then the relevant extraction methods

    針對局部放電模式自動識別的需要，作者系統地研究了局部放電灰度圖像自動識別中的基本理論和實現方法： （ 1 ）根據變壓器局部放電在線監測的要求，設計了放電模型和實驗方法，並通過模型實驗獲得了大量放電樣本數據，為構造局部放電灰度圖像和採用bpnn進行識別作好準備； （ 2 ）研究了局部放電灰度圖像的構造方法以及降維構造32 32灰度和矩陣的方法；在用人工神經網路對局部放電進行模式識別時，分析了bp網路的優缺點，對典型bp網路的結構和學習訓練演算法提出了改進，採用帶有偏差單元的遞歸神經網路作為模式分類器；採用32 32灰度和矩陣進行bpnn識別結果表明這種方法是有效的。
  16. Intrusion classification is learned by using algorithm of support vector machine, and then the machine of adaptive intrusion detection classification is generated

    從約簡的數據出發，用統計學習的支持向量機演算法進行入侵分類學習，產生自適應的入侵檢測分類器。
  17. Statistic pattern recognition based on the combination of multiple classifiers is imposed in the char recognition step, which is helped to sub - classify the char by local structure character analysis. that is, first to recognize the car license plate chars roughly with combination of multiple classifiers, and then distinguishes the chars that are very similar in the statistic character by structure analysis. the effect is very good

    字元識別部分引入了多分類器集成的統計識別模式，並輔之以局部結構特徵分析法進行細分類，即首先用多分類器集成作總體的字元識別，對于部分統計特徵非常相似的字元，再加以結構分析來區分，取得了良好的效果。
  18. The subsystem of car license plate recognition is composed of license plate detection and character recognition. the lpr system involves numerous discipline domains, such as pattern recognition and artificial intelligence, computer vision, digital image processing etc. its key techniques include the license plate detection, the license plate image pretreatment, character segment and the design of classifier

    車輛牌照識別子系統又分為車牌定位、車牌字元識別兩部分，它的研究主要涉及到了模式識別和人工智慧、計算機視覺、數字圖像處理等眾多的學科領域，關鍵在於車牌的定位、車牌圖像的預處理、車牌字元的分割和分類器設計。
  19. To enhance the quality of content - based information services, we need to improve the text arithmetic of text classification. as a result, this paper researches in detail into statistical text classification arithmetic. it divides the text classification system into three parts, that is, term selection, term weighting, and classifier construction

    要想提高基於內容的信息服務質量，需要在技術方面從根本上提高文本分類摘要演算法的正確率，因此本文全面研究了基於統計的自動文本分類方法，包括特徵項提取、賦權、分類器構建等問題。
  20. However, some of face recognition problems still require further development, this is the case for problems of recognition face images conveying changes in illumination, facial expression and changes due to the time delay between the acquistion of the reference and tested face images. our main work is to analysis methods of extraction face features and contraction of classifier. the work presented in this paper is to apply self - organizing feature map and minor component to extraction features from multi - view face images, then combine those features as a new combined feature set, in order to reduce redundancy data, we apply clone algorithms to reduce data through rotation in input space

    我們改進了一種基於矩理論的識別方法，給出了計算公式和證明過程，可用於解決小規模人臉識別問題；我們將智能方法應用到人臉識別中，分別利用自組織特徵映射和次分量方法抽取人臉的整體特徵和局部特徵，依據特徵融合理論，重新組合為新的復合特徵，為壓縮特徵數據，我們首次引入克隆選擇演算法自動進行特徵優化選擇，最後，利用支持矢量機構造多分類器進行分類識別，在不同規模人臉識別庫上模擬結果表明，該系統自適應能力強，分類識別精度高，適用於大規模復雜人臉識別問題。
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