classifier 中文意思是什麼

classifier 解釋
n. 名詞 1. 分類者。
2. 【礦物】分級機。
3. 【化學】分粒器。
4. （漢語等中的）量詞。

  1. Research show that wavelet varied - grid feature vector is characterized by high - stable and high - distinguish. based on this vector the apery cognitron has solved the harmony of single - classifier and multi - classifier and the harmony of multi - feature. the data shows that the recognition rate and reliability has been effective improve

    實驗數據表明，小波變網格特徵向量具有穩定性高、區分性強的特點，基於此的智能字元識別機解決了單、多分類器協調和特徵協調問題，在應用快速二值化方法加強處理實時性的同時有效地提高了車牌字元的識別率和識別可靠性。
  2. Fuzzy associative memory pattern classifier, fampc

    傳統的參數活動輪廓模型
  3. An adaptive wavelet network classifier for vibration fault diagnosis of steam turbine - generation is proposed based on theory of adap tive wavelet network ( awn )

    基於自適應小波網路理論，構造了一個應用於汽輪發電機組振動故障診斷與識別的自適應小波網路分類器。
  4. In algorithms, classification algorithms are divided into two cases : one for known statistical distribution model and the other for unknown statistical distribution model. four classification algorithms, the bata - prime statistic model fusing quadratic gamma classifier, based on sar image rcs reconstruction and space position mode, on the mixed double hint layers rbfn ( mdhrbfn ) model and on the self - adapt fuzzy rbfn ( afrbfn ) model, are derived. the problems, including how to further improving the class ratio of the bayes decision, decreasing the dependence on the statistical model and directly providing the adapted algorithm with samples, are solved

    提出了基於徑向基函數神經網路（ rbfn ）的雙隱層混合網路（ mdhrbfn ）模型，解決了標準神經網路在具體sar圖像地物分類中分類類別數目不夠和分類精度差的問題；提出了基於模糊推理系統的自適應模糊rbfn分類（ afrbfn ）模型，兼顧通用性與精確性，增強人機交互能力，進一步提高了演算法分類率。
  5. Influential factors analysis of lhb type classifier

    型分級機分級效果的因素分析
  6. On the noun ' s meaning of space expressed by classifier

    量詞對名詞空間義的表達
  7. There are many ways for constructing classifier

    有許多模型用來構造分類器。
  8. Experimental study on a novel gas stream - screen classifier

    新型氣流篩分機的實驗研究
  9. A classifier design method based on sub - class division

    基於子類劃分的分類器設計方法
  10. Testing and qualification method for seed classifier

    種子分級機試驗鑒定方法
  11. Methods on accuracy evaluation of text classifier

    文本分類器準確性評估方法
  12. Counterflow sand classifier

    逆流式舊砂分級機
  13. Particle size analysis ; size analysis by air classification with centrifugal counterflow classifier

    粒度分析.用離心逆流分粒器風力分級法進行粒度分析
  14. Ball mill, classifier, gravity separator, hammer mill, heavy metal recovery equipment, magnetic separator, solvent distiller

    球磨機、分類機、沉澱分離機、錘磨機、重金屬回收設備、磁性分離機、溶劑蒸餾機
  15. Above all, the system fuse the eradiate noise ' s different sides " feature and offer strong elements for the next process : classifying. it is very important to study the classifier in this dissertation

    其中線譜特徵反映了船舶輻射噪聲的頻域信息，能量特徵綜合了不同頻段內的信息，而分維特徵反映了信號的時域的信息。
  16. The process of feature extraction is to transform the eradiate noise signal to different feature space and extract the feature vectors that reflect the category of the input sample. the extracted features are the input modes to the classifier

    特徵提取的過程是把輸入的船舶輻射噪聲信號變換到不同的特徵空間，提取出反映樣本的類別特性的特徵向量，並把其作為分類器的輸入模式。
  17. 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。
  18. 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。
  19. The multiple - hyperplane classifier, which is investigated from the complexity of optimization problem and the generalization performance, is the explicit extension of the optimal separating hyperplanes classifier

    多超平面分類器從優化問題的復雜度和運行泛化能力兩方面進行研究，是最優分離超平面分類器一種顯而易見的擴展。
  20. 14 dengel a, hoch r, hones f, jager t, malburg m, weigel a. techniques for improving ocr results. handbook of characterrecognition and document image analysis, bunke h, wang p s p, world scientific, 1997, pp. 227 - 258. 15 ruta d, gabrys b. an overview of classifier fusion methods

    系統使用的詞表規模為48詞，採用二值化平滑和基線檢測等對手寫文本圖像進行預處理，提取基於基線的上行筆段下行筆段分別類似於英文中的b ， d ， h和g ， p等字母環狀結構位於主體部分上面下面的點數等結構特徵。
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