最小距離分類 的英文怎麼說

中文拼音 [zuìxiǎojùlífēnlèi]
最小距離分類 英文
minimum distance classification
  • 最 : 副詞（表示某種屬性超過所有同類的人或事物） most; best; worst; first; very; least; above all; -est
  • 小 : Ⅰ形容詞1 （體積、面積、數量、強度等不大） small; little; petty; minor 2 （年紀小的; 年幼的） youn...
  • 距 : Ⅰ名詞1 （距離） distance 2 （雄雞、雉等的腿的後面突出像腳趾的部分） spur （of a cock etc ）Ⅱ動詞...
  • 離 : Ⅰ動詞1 （離開） leave; part from; be away from; separate 2 （背離） go against 3 （缺少） dispens...
  • 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...
  • 距離 : 1 （相隔的長度） distance; range; gap; space; spacing; separation 2 （相距） be apart from; be aw...
  1. And then, some common methods of gdm, such as the ahp method, the weighted geometric mean method ( wgmm ), the borda - kendall method, the minimum variance ( mv ) method, the clustering analytic method, the cook - seiford distance measure, cb measure, the maximum and the minimum expected values, the concordance and discordance indices, etc., are used to discuss some consensus problems of gdm, including the consistency of the complex judgment matrix in ahp, the consensus methods of the aggregation of individual preferences ; the aggregation of analytic hierarchy process methods based on similarities in decision makers " preferences, a consensus measure on multiple criteria group decision making

    接著本文採用了群體決策中常用的一些方法（如： ahp法，加權幾何平均法， borda - kendall方法，最小方差法，聚類分析法， cook - seiford距離測度法， c _ b測度法，最大最小期望值法，一致性非一致性指標法等）對群體決策中的幾個一致性問題進行了研究，這些問題包括： ahp中復合判斷矩陣的一致性，個體偏好序集結的一致化方法，基於決策者偏好相似性的層次分析模型的集結中的一致性問題和多準則群體決策的一致性測度。
  2. On the basis of analyzing the classification principle of decision tree classifier and parallelpiped classifier, a new classification method based on normalized euclidian distance, called wmdc ( weighted minimum distance classifier ), was proposed

    通過分析多重限制分類器和決策樹分類器的分類原則，提出了基於標準化歐式距離的加權最小距離分類器。
  3. By adding weight define with nominal and string attributes and adding range restriction of attribute ' s value, wmdc extended applicability of mdc ( minimum distance classifier ) using normalized euclidian distance and improved its classification accuracy

    該分類器通過對標稱型和字元串型屬性的距離的加權定義，以及增加屬性值的范圍約束，擴大了最小標準化歐式距離分類器的適用范圍，同時提高了其分類準確率。
  4. The most feature of the orbits of near - earth asteroids ( neas ) is that the semi - major axes of the orbits are nearly equal to that of the earth or the perihelia distances are approximate to or even less than the mean distance between the sun and the earth, thus they could move into inside of the earth ' s orbit, so that they might close approach or even colliside with the earth ( or other planets, such as the venus, the mars, etc. )

    近地小行星軌道的最大特點是其軌道半長徑與地球軌道半長徑相近，或近日距離接近甚至小於日地平均距離，其運動可深人到地球軌道的內部，這將導致該類小行星與地球（還有金星、火星等）十分靠近甚至發生碰撞。
  5. The asteroids are the most important small bodies in the solarsystem, and they mainly lies in the two locations - a main belt between the mars ' s orbit and the jupiter ' s and the near - earth space. the most feature of the orbits of near - earth asteroids ( neas ) is that the semi - major axes of the orbits are nearly equal to that of the earth or the perihelia distances are approximate to or even less than the mean distance between the sun and the earth, thus they could move into inside of the earth ' s orbit, so that they might close approach or even colliside with the earth ( or other planets, such as the venus, the mars, etc. ). the characteristic brings about some difficulties in the numerical research during their orbital evolution, which leads to the failure of the normalization technique in the general removal impact singularities of celestial mechanics methods and the symplectic algorithm which is successfully applied to the investigation in quality. by comparing the computation effects of several common numerical methods ( including symplectic algorithm ), and considering the nature of the movement of the small bodies, the corresponding treatments are provided here to improve the reliability of the computation

    小行星是太陽系最重要的一類小天體，主要分佈在兩個區域；火星和木星軌道之間的一條主帶和近地空間.近地小行星軌道的最大特點是其軌道半長徑與地球軌道半長徑相近，或近日距離接近甚至小於日地平均距離，其運動可深入到地球軌道的內部，這將導致該類小行星與地球（還有金星、火星等）十分靠近甚至發生碰撞.這一特徵給其軌道演化數值研究帶來一些困難，包括天體力學方法中一般消除碰撞奇點的正規化處理以及對定性研究十分成功的辛演算法都將在不同程度上失效.通過對幾種常用數值方法（包括辛演算法）計算效果的比較，根據小天體運動自身的特性，給出了相應處理措施，從而可提高計算結果的可靠性
  6. The essence of edid is to set up a normal behavior fuzzy sub collection a on the basis of watching the normal system transfer of the privilege process, and set up a fuzzy sub collection b with real time transfer array, then detect with the principle of minimum distance in fuzzy discern method the innovation point of this paper is : put forward the method of edid, can not only reduce efficiently false positive rate and false negative rate, also make real time intrusion detection to become possibility ; have independent and complete character database, according to the classification of monitoring program, design normal behavior and anomaly behavior etc., have raised the strongness of ids ; use tree type structure to preservation the character database, have saved greatly stock space ; in detection invade, carry out frequency prior principle, prior analysis and handling the behavior feature of high frequency in information table, have raised efficiency and the speed of detection, make real time intrusion detection to become possibility ; have at the same time realized anomaly intrusion detection and misuse intrusion detection, have remedied deficiency of unitary detection method

    這種方法的實質是在監控特權進程的正常系統調用基礎上建立正常行為模糊子集a ，用檢測到的實時調用序列建立模糊子集b ，然後用模糊識別方法中的最小距離原則進行檢測。本文的創新點是：通過對特權進程的系統調用及參數序列的研究，提出了基於euclidean距離的入侵檢測方法edid ，不僅能有效降低漏報率和誤報率，而且使實時入侵檢測成為可能；設計有獨立而完整的特徵數據庫，根據被監控程序的類別，分別設計正常行為、異常行為等，提高了檢測系統的強健性和可伸縮性；特徵數據庫按樹型結構存儲，大大節省了存儲空間；在檢測入侵時，實行頻度優先原則，優先分析和處理信息表中的高頻度行為特徵，提高檢測的速度和效率，使實時入侵檢測成為可能；同時實現了異常入侵檢測和誤用入侵檢測，彌補了單一檢測方法的不足。
  7. 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。
  8. Clustering analysis showed that plants in the genus of p. salicina could be distinguished from those in the genus of p. ameniaca ; there was some genetic relationship among p. mume, p. salicina and p. ameniaca, of which p. ameniaca was closer to p. mume in genetic relationship ; and the distance between varieties of each genus was different, with the smallest being 0. 1138 and largest being 0. 7633. the genetic distance reflects genetic relationship between tested materials. the result that varieties of each genus were close to each other in genetic relationship testified the traditional morphology - based taxonomy from the genomic dna

    不同引物擴增出的帶型完全不同，聚類分析結果表明，李屬植物和杏屬植物能完全被區分開，李、杏和梅之間表現出一定的親緣關系，其中杏，梅之間的親緣關系較近，各屬品種之間都有不同的遺傳距離，最小距離為0 . 1138 ，最大距離為0 . 7633 ，遺傳距離的大小反映了材料間親緣關系的遠近，各屬內品種的親緣關系比較近，這一聚類結果從供試材料基因組dna分子水平驗證了傳統的形態學分類觀點。
  9. There are two steps in the combined classifier. the least distance pattern recognition method is used to classify roughly in the first step

    組合分類器的結構如下：第一級分類器採用最小距離法進行粗分類。
  10. At last, svm algorithm has been applied to remote sensing image classification. compared with k near neighbor and adaptive min - distance algorithm, the experience result presents that svm algorithm has better classification effect. and the experience result also shows us that svm algorithm has good application foreground in the aspect of remote sensing image classification

    最後將svm演算法應用到遙感圖像的分類，通過與自適應最小距離法和k近鄰法的實驗結果進行比較，得出svm演算法具有更好的分類效果，也說明了svm演算法在遙感圖像分類方面具有很好的應用前景。
  11. Thirdly, decrease the difficulty of the character recognition through studying the method of character preprocessing ; at last, some effective methods of feature extraction, such as the one based on image transform with the invariant features which keep stable while the picture move, rotate and zoom in or out, and the other focused on the shape of character and features of direction

    三、深入探討了字元識別的預處理方法，減少字元識別時的運算量和難度。四、討論了三種特徵向量的提取方法，一種是基於平移、旋轉和尺度不變性的圖像變換法，一種是計算中心矩的方法，再就是強調字元形狀和結構的方向特徵量提取法，實驗中通過最小距離法進行字元的分類識別，匹配時間少，識別率有所提高。
  12. In the process of classification, use minimum distance classifier to obtain recognition results

    在識別階段本文使用了最小距離分類器對待識別人臉進行了分類。
  13. In the course of classifiers design, this paper recognizes human face with a minimum distance classifier. the similitude of two face image is calculated out by means of distance formulate, and proper threshold is selected to judge whether the two face images belong to one person

    在分類器設計過程中，採用最小距離分類器的分類方法進行判斷識別，利用距離公式度量兩幅人臉圖像的相似程度，並選取合適的閾值進行判斷識別。
  14. Minimum distance classification

    最小距離分類
  15. Minimum distance classifier is a simple and effective classification method

    摘要最小距離分類器是一種簡單而有效的分類方法。
  16. Experiment results show this model has good classification accuracy in most data sets

    實驗結果表明，加權最小距離分類器具有較高的分類準確率。
  17. To improve its classification performance, the main methods were selecting the more effective distance measure

    為了提高最小距離分類器的分類性能，主要的改進方法是選擇更有效的距離度量。
  18. In the course of classifiers design, considering that the single classifier has not high recognition rate, we construct a combining classifier with a minimum distance classifier and a fuzzy nn classifier to improve the recognition rate

    在分類器設計過程中，考慮到單一分類器的識別率不是很高，本文將最小距離分類器與模糊神經網路分類器結合起來構成一個組合分類器，以期提高人臉識別率。
  19. Aiming at these problems, the proposed network integration method is improved. three minimum distance classifiers, which extract different local features, are proposed and they are combined to form an integration system by making use of the above methods

    針對這些問題，本文對所提出的網路集成方法進行了改進，給出了三個提取不同局部特徵的最小距離分類器，並採用上述方法構成了集成型識別系統。
  20. Classification and decision - making function is established to solve the product instance. the minimum weighted distance classifier and the maximum system similarity classifier is designed to enhance the precision of classification. the minimum risk decision - making based on system similarity is founded to minimize the loss brought by decision - making

    針對機械產品實例建立分類決策函數，設計了最小加權距離分類器和最大系統相似度分類器，在保證適用范圍的前提下提高分類的精度，並提出基於系統相似度的最小風險決策，確保決策帶來的損失最小。
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