識別類目的 的英文怎麼說

中文拼音 [zhìbiélèimùde]
識別類目的 英文
classific
  • 識 : 識Ⅰ動詞[書面語] （記） remember; commit to memory Ⅱ名詞1. [書面語] （記號） mark; sign 2. （姓氏） a surname
  • 別 : 別動詞[方言] （改變） change （sb. 's opinion）
  • 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...
  • 目 : Ⅰ名詞1 （眼睛） eye 2 （大項中再分的小項） item 3 [生物學] （把同一綱的生物按彼此相似的特徵分為幾...
  • 的 : 4次方是 The fourth power of 2 is direction
  • 識別 : 1 （辯別; 辯認） discriminate; distinguish; discern; tell the difference; spot 2 [計算機] identif...
  • 目的 : purpose; aim; goal; objective; end
  1. This dissertation brings forward and realizes the multilevel classifiable method which is based on characters coding. above all, this method realizes the first - grade classification by extracting enough effective characters from characters and coding them, to the others which coundn " t be recognized by the first - grade classification, the method will adopt the second - grade classification using template matching to recognize these characters

    本文提出並實現了基於特徵編碼的多級分類識別方法，通過給字元抽取足夠多的有效的特徵並給特徵編碼實現第一級分類，對于第一級分類后仍不能區分的字元，再進入第二級分類用模板匹配的方法最終達到區分的目的，這種方法的重點在第一級分類階段。
  2. Can distinguish clearly and identify red, yellow, green, blue, violet each sheet is planted color is to be not affected pursue money meeting, management kind, machinery of sports, computer makes those who wait for major, that is to say machine tool go up or the any pushbutton on machinery won ' t mark with 5 color, the any number on meeting items of an account won ' t use money 5 color are written, the every number letter that shows on the clavier letter on the computer or screen won ' t be form by 5 color, if use only color, distinguish all sorts of index, operation, discriminative job only, it is normal that only color identifies ability person all can foster into this respect useful talent or this professional expert

    能夠明確區分和識別紅、黃、綠、藍、紫各單種顏色是不影響從事財會、治理類、體育、計算機機械製造等專業的，也就是說機床上或機械上的任何一個按鈕不會用五個顏色標識，財會賬目上的任何一個數碼不會用五個顏色書寫，計算機上的鍵盤字母或屏幕上顯示出的每個數碼字母不會是由五個顏色構成，只要是用單顏色區別各種指標、操作、演示的工作，單顏色識別能力正常者均可培養成這方面有用人才或這個專業的專家。
  3. Singularity mainly improve on its application way, and bring forward a new count means of num about pels part - area. fourthly, to recognize target, is to train target character samples imput to interpolator, then test using testing samples to get recognition result

    然後是對目標進行識別，將目標特徵樣本輸入到分類器中進行訓練，再運用測試樣本進行測試，得到了良好的識別結果。
  4. According to the regional geology and the character of the lithofacies and well - logging facies, 4 kinds of sedimentary facies and 3 kinds of depositional system : marine system, delta system and fluvial system have been identified. the sedimentary facies of taiyuan formation is marine faceis, up to sanxi formation, the sedimentary facies is delta facies, the xiashihezi formation hel and he2 member are braided river facies, he3 member is meandering river facies. the mains types of sandstone of taiyuan formation are lithic quartzarenite and quartzarenite ; the mainly types of sandstone of sanxi formation and xiashihezi formation is litharenite

    通過對20餘口井2000多米巖心的觀察和對40幾口井的測井數據解釋、對比，在研究區目的層段識別出了12種基本巖相和9種測井相類型，在區域沉積背景和單井相劃分的基礎上，根據巖相和測井相組合特徵，在太原組?下石盒子組劃分出4種沉積相和若干沉積微相，並進一步劃分為3類沉積體系：濱淺海沉積體系、三角洲沉積體系和河流沉積體系。
  5. The fourth chapter of this article firstly finish customers " quality classify on the basis of customer value and customer relationship value. the author builds the index system of the customers " evaluation and finish customers identify by two methods of analytic hierarchy process and mistiness judging. the article achieves the purpose of customer distinction

    本文的第四部分首先在客戶價值和客戶關系價值的基礎上，對客戶作了定性分類；接著建立客戶評價指標體系，運用層次分析法和模糊綜合評判完成客戶識別，實現客戶差別化的目標。
  6. The three kinds of simulated point targets are designed and the rangeprofiles at aspect angle are computed. the radar target recognition method based on the optimal cluster centers is simulated and studied. it is discovered that the algorithm is effective when there are lots of training data, but noneffective when there are only a few training data

    2 、對最優聚類中心目標識別法進行模擬實驗並研究其識別性能，實驗結果表明該演算法在大樣本訓練數據時能得到較高識別率，是一種有效、可行的識別演算法，但在少樣本訓練數據時，所得識別率急劇下降。
  7. A real rough set space and the concepts of real lower and upper approximation corresponding to real - valued attributes is studied. a rhombus neighborhood for som is proposed, and the combination of som and rough sets theory is explored in the dissertation. according to the distance between the weight of winner node and the input vector in the real rough sets space, some new weights learning rules are defined

    本文提出採用菱形鄰域代替一般的方形鄰域，可以減少待修正權重的數目;並利用實數粗糙空間的下、上近似集的精確概念劃分自組織映射的輸出結果，使得改進后的映射結果中各類樣本點之間有明顯的間隔，易於進行分類識別。
  8. Pattern recognition problems of large scale ( prpls ) refer to those with a feature space of high dimensionality and a data set with large amount of samples that belong to many different classes

    大規模模式識別問題特指一類特定的模式識別問題。該類問題的特點是，特徵空間維數高，樣本數量大而且所涉及的類別數目多。
  9. Network forensics is an important extension to present security infrastructure, and is becoming the research focus of forensic investigators and network security researchers. however many challenges still exist in conducting network forensics : the sheer amount of data generated by the network ; the comprehensibility of evidences extracted from collected data ; the efficiency of evidence analysis methods, etc. against above challenges, by taking the advantage of both the great learning capability and the comprehensibility of the analyzed results of decision tree technology and fuzzy logic, the researcher develops a fuzzy decision tree based network forensics system to aid an investigator in analyzing computer crime in network environments and automatically extract digital evidence. at the end of the paper, the experimental comparison results between our proposed method and other popular methods are presented. experimental results show that the system can classify most kinds of events ( 91. 16 ? correct classification rate on average ), provide analyzed and comprehensible information for a forensic expert and automate or semi - automate the process of forensic analysis

    網路取證是對現有網路安全體系的必要擴展，已日益成為研究的重點.但目前在進行網路取證時仍存在很多挑戰:如網路產生的海量數據;從已收集數據中提取的證據的可理解性;證據分析方法的有效性等.針對上述問題，利用模糊決策樹技術強大的學習能力及其分析結果的易理解性，開發了一種基於模糊決策樹的網路取證分析系統，以協助網路取證人員在網路環境下對計算機犯罪事件進行取證分析.給出了該方法的實驗結果以及與現有方法的對照分析結果.實驗結果表明，該系統可以對大多數網路事件進行識別（平均正確分類率為91 . 16 ? ） ，能為網路取證人員提供可理解的信息，協助取證人員進行快速高效的證據分析
  10. Yet there has been little comprehensive research about the extent of gene patenting. the new study reveals that more than 4, 000 genes, or 20 percent of the almost 24, 000 human genes, have been claimed in u. s. patents

    這項最新研究結果顯示，有超過4000種的人類基因，即目前能夠被識別的將近2 . 4萬種人類基因中的20 ，已經在美國獲得了專利，被視為知識產權。
  11. Named entity recognition ( ner ) technologies have become a hot problem of natural language process recently. the definition of named entity by muc ( message understanding conference ) is the proper nouns and the quantifiers that people are interested in. ner can be classified to person - name, location, organization, date, number and so on. ner has been applied on many compute linguistics tasts as a subtask of information extraction, such as machine translation

    命名實體識別是目前自然語言處理研究的熱點問題。 muc （ messageunderstandingconferences ）對命名實體的定義是:人們感興趣的專有名詞和特定的數量詞，它一般可分為:人名、地名、組織機構名、日期等類型。
  12. Image targets swatch set is carve up to several subsets firstly, and each subset is corresponding to one output port of network. then a bp neural network can be constructed to complete vehicle target recognition. with the above method, image targets of several types of vehicles are tested in

    其基本思想是，先用改進的c -均值動態聚類方法將車輛目標的訓練樣本集劃分成若干子集，每個樣本子集對應神經網路的一個輸出埠，以此原則來構建一個bp神經網路，再代入樣本進行訓練后即可用於識別未知的車輛目標樣本。
  13. The algorithm of sequencable mark and description of the object for crack automatic identification is presented by means of pre - image process. on basis of visual c + + 6. 0 developing environment, the software function of controlling of magnetic partical testing engine and the stepping - motor is realized in c + + and mfc with objected programming method. the automatic system of the camshaft of small diesel engines automatic magnetic partical testing is realized, which is the predicted goal that we would achieve

    用計算機控制磁粉探傷機和步進電機的工作；解決了jpeg圖象格式在windows系統中visualc + +編程環境下的壓縮轉換、顯示和處理的問題；結合數字圖象的預處理，提出了通過圖象分析自動識別裂紋的順序目標標記與描述演算法；基於visualc + + 6 . 0開發環境，用c + +語言和mfc類庫，採用面向對象的程序設計方法，用軟體實現了對磁粉探傷機和步進電機等硬體系統的自動控制功能；實現了柴油機凸輪軸熒光磁粉探傷系統的自動化，達到了預期的目標。
  14. In the end, we discuss the design of a prototype system facing to video analysis. and, a structural representation in the framework of xml is produced for the result of video object detection, segmentation and recognition

    在對視頻目標檢測、分割和識別演算法充分研究的基礎上，本文接下來討論了面向此類應用的系統原型設計，並基於xml框架設計了一種視頻目標檢測、分割與識別結果的結構化表示方法。
  15. In order to reduce the disadvantageous influence of decision profiles ' scattering on fusion recognition, the decision profile is taken as target ' s feature vector and k - nearest neighbor method is applied to classify the target

    為減少目標決策分布圖散布對融合識別效果的影響，提出採用k近鄰方法對目標的決策分布圖進行分類，以實現融合識別。
  16. X - band ground based radar ( gbr ) plays an important role in national missile defense ( nmd ) system, it has many important functions such as middle stage surveillance and interception, trajectory prediction, target identifying and classifying. it has important significance to analyze and study gbr system, not only for ballistic missile ’ attack and defense research, but also for our national space surveillance and ballistic missile defense system development

    X波段地基雷達（ gbr ）是美國國家導彈防禦系統中段防禦和攔截系統中最主要和最有效的目標精確跟蹤和識別傳感器之一，它負責中段監視和截獲、預測彈道和實測彈道的精度、識別和目標分類等重要功能，對gbr的系統分析和模擬研究，探究其工作機理和識別手段，不但對于研究彈道導彈的有效突防措施和攻防對抗有著重要意義，對于發展我國自己的空間監測和彈道導彈防禦系統也有著重要的參考價值。
  17. The images to be processed is obtained in condition of nonuniform illumination. a threshold surface by interpolating zero - crossing points is used to segment image to avoid influence of nonuniform illumination. then the destination region can be detected using the method of pattern recognition and the method advoid the influence of nonuniform illumination effectively. the contour description is obtained by fitting at least squares principle

    論文在分析當前圖象分割的現狀和趨勢的基礎上，採用基於log運算元的動態閾值選取對圖象進行分割，以克服非均勻光場給圖象分割帶來的影響，然後通過對區域特徵的提取和分類準則的確定，準確識別出目標區域。
  18. The residual signals will be gotten from the comparison between the actual and prediction states. use a som neural networks as a classifier to classify characteristics contained in the residuals. so, we can detect whether the traffic incident has happened. this algorithm can detect not only whether the traffic incident has happened but also the level of accidental congestion caused by the traffic incident the second is another freeway traffic incident detection novel algorithm based on art2 neural networks. this algorithm uses the freeway traffic flow model and art2 neural networks as observer and classifier, respectively. the residual signals will be gotten from the comparison between the actual and estimated value of observer. use the art2 neural networks to classify characteristics contained in the residuals. so. we can detect whether the traffic incident has happened. this algorithm can recognize new pattern at the same ti

    第二種是基於ar咒神經網路的檢測高速公路交通事件的新演算法。該演算法利用高速公路交通流模型和artz神經網路分別作觀測器和分類器，觀測器估計的數據和實際交通數據進行比較，得到殘差序列;利用artz神經網路對殘差序列進行分類，以區分不同交通狀態下的交通信息，達到檢測交通事件的目的。本演算法不但可以識別已知的交通事件類型，還可以識別未知的或從未出現過的交通事件類型，是一個可以邊工作、邊學習的檢測系統。
  19. At present, there are various methods of moving vehicle detector and identification. the system we designed for traffic information makes use of the principle of electromagnetic induction and radio frequency identification the moving vehicle detector, which is based on inductive circular loop, detects the information of vehicle according to the inductive signal. the basic information including speed and go through time can be detected to analyze oscillator frequency

    目前現行的車輛檢測與識別系統的種類繁多，本系統基於電磁感應理論和射頻識別技術，採用環形線圈作為數據採集傳感器，通過對振蕩器的頻率計數測量到車輛的通過、速度等基本信息，同時啟動射頻識別系統，使讀寫器與安裝在車輛上的非接觸ic卡進行無線通訊獲取通過車輛的類型和所屬用戶等數據，並將有關數據通過rs232串口送至上位機。
  20. Depending on it, we can get description of type and estimation of threaten level for targets by dealing with the signals and information received by radar, then, provide evidence and advice for missile defense system to make the right decision

    雷達目標識別是gbr的一個主要功能，它利用雷達獲得的目標信息，通過綜合處理，得到目標類別的描述和威脅等級的判斷，使防禦系統能對目標作出準確的攻防對抗。
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