特徵選擇方法 的英文怎麼說

中文拼音 [tèzhǐxuǎnzháifāngfǎ]
特徵選擇方法 英文
feature selection approach
  • 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...
  • 選 : Ⅰ動詞1. （挑選） select; choose; pick 2. （選舉） elect Ⅱ名詞（挑選出來編在一起的作品） selections; anthology
  • 擇 : 擇動詞（挑選） select; pick; choose
  • 方 : Ⅰ名詞1 （方形; 方體） square 2 [數學] （乘方） involution; power 3 （方向） direction 4 （方面） ...
  • 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...
  • 特徵 : characteristic; feature; properties; aspect; trait
  • 選擇 : select; choose; opt; election; choice; culling; alternative
  • 方法 : method; means; way; technique; process; procedure; plan; device; recipe; fashion; tool; maneuver
  1. Teiresias finds patterns in spam training mail set and normal e - mail training mail set respectively. mutual information is used to select useful patterns in spam patterns. all selected patterns are used to filter e - mails

    該演算法同時發現出現于垃圾郵件集與正常郵件集中的大量模式，經互信息方法做特徵選擇后獲得有效的垃圾模式來過濾郵件。
  2. Secondly, after analyzing the strategic relations between the manufacturer and the supplier, the dissertation brings forward that the manufacturer must category the materials and select different supplier to built relations, explains the features and the advantages and disadvantages of strategic partnerships, and bring forward that the manufacturer must give some special request for the supplier strategic partner. thirdly, the dissertation analyses and summarize the existing methods of supplier selection, and point out their disadvantages. then, the dissertation apply the extenics to the dynamic selection model of the strategic supplier, building the evaluation indexes with implication systems, selecting strategic supplier with rhombus thinking method, looking for the suppliers with the extension of the matter - element, selecting the right supplier with the extension evaluating methods, replacing the dissatisfying features with the transformation matter - element method and making it more better

    本文首先對供應鏈管理和戰略合作夥伴關系的國內外研究現狀和發展趨勢進行了研究；其次，對製造商和供應商的戰略合作夥伴關系進行分析，指出了製造商需要對采購物料分類，針對戰略型物料選擇戰略合作夥伴建立戰略合作夥伴關系，闡明了建立戰略合作夥伴關系的特徵及優缺點，並提出了製造商對供應商戰略合作夥伴的具體要求；再次，對目前存在的供應商選擇方法進行了深入的分析和總結，指出了不足之處，並提出了應用可拓理論進行供應商戰略合作夥伴選擇的思路；然後，應用可拓理論建立供應商戰略合作夥伴選擇動態模型，其中，用蘊含系方法建立評價指標體系，用菱形思維建立選擇模型，利用物元的可擴性來尋找待評供應商，用可拓評價進行收斂，並用物元變換對已經選中供應商的不滿意特徵進行變換，使其完善；最後對r企業的供應商戰略合作夥伴選擇進行了本文模型的實證部分，使模型不僅具有理論意義，更具有實踐意義。
  3. A new feature selection method in text categorization

    文本分類中一種新的特徵選擇方法
  4. The innovations of this thesis can be summarized into three points. firstly, the average relative velocity is introducd into a novel adptive weighted clustering algorithm as one important parameter of weight, then it increases the stability and self - adaptability of cluster head. secondly, a new approach to calculating weight is suggested by integrating subjective and objective factors. it is verified by comparison with other approaches to selecting weight. thus the velocity of weight responding to the changes of network topology is increased. finally, using a som neural network to create a classifying model enables every node to learn to identify by itself the role in manet

    本文的創新點有三個:首先本文在wca和aow分簇演算法的基礎上，引入了平均相對移動速度作為權值重要的參數，提出了一種新的基於權值的自適應分簇演算法，提高了簇頭在移動中的穩定性和自適應性;其次，提出了利用主客觀綜合賦權法確定權重的權值計算方法，通過與其他權重選擇方法比較，網路結構變化的權值響應速度得到了改進;最後，論文利用自組織特徵映射神經網路建立分類模型，使得網路中的節點可以自學習地確定簇中角色。
  5. The application of feature selection methods in variables selections for credit scoring models

    特徵選擇方法在信用評估指標選取中的應用
  6. The potential applications of amr include both civil and military communication, especially non - cooperative communications and communication confrontation, such as identifying signals, supervising signals, distinguishing interference, electronic confrontation, analyzing military threat, etc. on the basis of our analysis to the existing research on feature abstraction, the related feature abstraction methods are optimized in this paper, resulting several effective methods such as the feature abstraction based on transformation domain, stepped voltage level analysis, normalized carrier - free spectral energy analysis, squared signal and fourth powered signal analysis, etc. both the decision theory based on recognition algorithms and the artificial neural network ( ann ) based on recognition algorithms is analyzed, and the former is selected as it is more appropriate for this research

    調制類型的自動識別廣泛應用於民用通信與軍用通信，尤其是對于非合作性通信、通信對抗，比如：信號確認、信號監控、干擾辨識、電子對抗、軟體無線電、電子救援、通信對抗、軍事威脅分析等。本論文在分析現有研究的基礎上，借鑒了已有的特徵提取方法，對相關調制類型特徵提取方法進行了優化，使用了一些有效的方法，如基於變換域特徵提取方法、梯層電平分析方法、剔除載波后的歸一化頻域能量分析方法、信號平方后的頻譜分析方法、信號四次方后的頻譜分析方法等。通過對基於決策理論和基於人工神經網路兩種識別演算法進行分析，本論文選擇了較適合的基於決策理論的識別演算法。
  7. In consideration of the large feature dimensions of the wavelet moment invariants, we first choose a set of better features by combining divergence with sequential forward selection and this can be an off - line computation process

    針對小波矩不變量特徵維數比較多的情況，本文採用結合離散度和順序前進法的特徵選擇方法，先離線選取一組較優特徵量。
  8. First, the currency recognition system and its technology situation are summarized ; then the methods to extract and how to choose the currency features that best reflected the classified character are discussed ; after that algorithms of values classification and fake identification are investigated respectively

    本文首先對貨幣識別系統的技術現狀進行了綜述，在此基礎上論述了貨幣特徵的提取和選擇方法，以得到最能反映分類判別特徵的貨幣信息；然後分別研究了貨幣面值和真偽的識別方法。
  9. According to the above discuss, the paper analyzes the good and bad factors of the self - run logistics, the characters of the third party logistics, the merit of the third party logistics, and the traditional logistics method chooses etc. expatiates on the necessity of the economy analysis between the self - run logistics and the third party logistics

    本文針對以上情況，從自營物流優劣性，第三方物流特徵、優越性，兩者的市場需求，以及傳統的物流方式選擇方法等方面闡述了自營物流與第三方物流經濟比較的必要性。
  10. The classifier with ability of feature selection is studied to prepare for face cascade representation and to make it possible to detect and recognize face fast and accurately. finally, construction of an array of classifiers is researched, and an effective method to design classifiers of fast face detection and recognition with complex background is presented, which is able to radically discard redundant areas and realize a robust real - time face detection designed for complex background and recognition system with large face database. finally, a fast face detection and recognition system for images with complex background is proposed and implemented by combining face cascade representation and classifier design

    首先研究了在人臉檢測和識別中常用的分類器，比如符號函數、最近鄰、神經網路、 svm 、 adaboost等，選擇了適合於人臉檢測和識別的分類器，並提出了結合pca特徵和rbf進行人臉姿態的判別方法：其次研究了具有特徵選擇功能的分類器發計，這為人臉的級聯表示提供了條什，也為快速準確的人臉檢測和識別提供了可能；最後，對組合分類器設計進行了研究，提出了適于復雜背景下快速人臉檢測和識別的有效分類器設計方案，這使得人臉檢測和識別能夠快速剔除不感興趣區域，為復雜背景下實時人臉檢測和大型人臉庫的快速識別提供了可能。
  11. Finally, some important conclusions were drawn, that is, using distributed pzt transducers, ultrasonic guided waves are generated and received in a pipe. usually, there are many different modes of guided wave propagating in the pipe and these modes are generally dispersive, the specific exciting signal of a harming windowed toneburst with a central frequency of 70khz for decreasing the effect of dispersion was selected. and guided wave are generated using 16 distributed pzt transducers in a circumferential direction for suppressing flexural modes

    首先，對當前本課題研究領域的進展作出綜述，並簡要介紹與超聲導波技術相關的理論基礎；其次，建立了一套有效的實驗裝置，在此實驗裝置基礎上，重點研究了採用分散式pzt傳感器在管中激勵和接收特定模態超聲導波的方法：根據在管狀波導中傳播的超聲波具有頻散現象及多模態特徵，選擇具有單一頻率的特定信號激勵超聲導波，使其頻散最小；同時採用分散式傳感器抑制不同模態的波型。
  12. At the stage of image recognition, a unique model of pcb fault recognition was built on methods of tree - classification and sequenntial probability ratio test, and a kind of method of m feature selection and extraction was introduced

    在圖像識別中，本文分析了常用的模式識別方法，根據樹分類法和序貫概率比檢定法的思想設計了一種獨特的pcb缺陷模式識別方法；並給出了針對各種pcb缺陷模式的特徵選擇與提取方法。
  13. In the fourth section of the thesis, the method that constructing statistical features based - on time for connection records and using these features to construct classification models were studied in detail. in order to improve the accuracy of classification model and decrease the rate of false positive, some factors that may have bad influence on accuracy of classification model were analyzed and the method of selecting appropriate set of features was also provided

    論文的第四部分，詳細研究了使用網路連接記錄的基本特徵屬性構建基於時間的統計特徵屬性方法，通過選擇適當的特徵屬性集來提高異常檢測模型的分類精度，降低誤報率；同時分析了影響檢測模型分類精度的因素；對不同實驗條件下得到的實驗結果進行了比較和分析。
  14. An example of faults diagnosis in a complicated electromechanical system - horomill is cited ; and according to its concrete features, this thesis covers the measuring and the collection of fault feature information, the composition of the software and the hardware of faults diagnosis system, and the collection of sample books. the author takes the algorithm of faults diagnosis of artificial neural networks to emulate the faults diagnosis of the horomill system. th e thesis proves the feasibility and the superiority of faults diagnosis of the artificial neural networks - based electromechanical system

    以輥碾磨這一復雜機電系統的故障診斷為實例，針對輥碾磨的具體特點，研究了故障特徵信息的檢測與提取、故障診斷系統軟體和硬體的構成以及學習樣本的選擇方法，並利用人工神經網路的故障診斷演算法對該系統的故障診斷進行模擬，證明了基於人工神經網路對機電系統故障診斷的可行性和優越性。
  15. In previous classifiers this process is very time - consuming and costly, thus limiting its applicability. so our classifiers may meet the requirements of real - time and high accuracy. in this thesis, we give a survey of the state - of - the - art in chinese text categorization, from the building of the corpus, the divided syncopation system of chinese web document, the selection of index, and the design of weight to the structure of scusctc ( scu smart chinese text classifier ) and its implement in java

    在研究的過程中，我們系統考察了中文web文檔自動分類的各個環節以及具體的實現技術：從語料庫的建立，中文web文檔的分詞，索引的選擇，權重的設計方案及分詞系統smcw的建立，到特徵選擇方法的研究討論，各種分類方法的研究討論，最後到中文web文檔傾向性分類系統（ scusctcscusmartchinesetextclassifier ）的結構提出及用java語言開發實現該系統，並對最後的分類結果及中間分詞結果進行了細致的實驗和考察。
  16. 4. the structure of spam filtering system based on teiresias algorithm and term selection methods used in filtering system

    4 、實驗框架設計、系統流程及實驗中採用的特徵選擇方法。
  17. Comparison and improvement of feature selection for text categorization

    文本分類中特徵選擇方法的比較和改進
  18. Feature selection methods for intrusion detection now available are influenced by the statistical characteristics of evaluation data and the detection methods

    摘要傳統入侵檢測的特徵選擇方法不但與評估數據的統計特性有關，還與檢測演算法有關。
  19. We introduced the feature selection method based on rough set theory, and put forward a rapid property reduction algorithm of rough set

    我們研究了基於粗糙集的字元特徵選擇方法，對候選特徵進行初步選擇，去除明顯對分類作用不大的特徵，並提出了一種快速的粗糙集約簡演算法。
  20. Aiming at above issues, some basic problems of data mining for classification have been studied substantially as follows : a structure - adaptive approach for neural - network - based feature selection is proposed in this paper

    圍繞以上問題，本文對分類數據挖掘中涉及的若干基本問題進行了深入研究，主要包括以下幾個方面的內容：提出了一種結構自適應的神經網路特徵選擇方法。
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