learning and recognition system 中文意思是什麼

learning and recognition system 解釋
學習和識別系統
  • learning : n 學,學習;學問,學識;專門知識。 good at learning 善於學習。 a man of learning 學者。 New learn...
  • and : n. 1. 附加條件。2. 〈常 pl. 〉附加細節。
  • recognition : n. 1. 認識;識出;識別;面熟,認得;招呼。2. 承認,認可。3. 褒獎,表揚;感謝,酬勞。
  • system : n 1 體系,系統;分類法;組織;設備,裝置。2 方式;方法;作業方法。3 制度;主義。4 次序,規律。5 ...
  1. In this paper, a handwritten recognition system is set up. this system includes learning part and recognition part

    本文建立了一個脫機手寫數字識別系統,系統主要是由兩個部分構成即:學習部分和識別部分。
  2. In order to deal with the unknown transformations of samples as a result of preprocessing and improve the system recognition performance further, a palmprint feature extraction method based on template learning in wavelet domain is designed and proposed. this algorithm learns the ideal templates of different classes from palmprint samples, whose parameters are regarded as

    該演算法從掌紋樣本中學習不同類別的理想模板,並將理想模板的參數作為特徵用於模式分類,由於考慮了子圖樣本內在存在的平移和旋轉變換,不同類型小波系數對特徵提取的貢獻,因此達到非常好的識別效果。
  3. With the development of communication, information and electronic technology and computer network, intelligent transport system ( its ) is paid more and more emphasis, it contains many parts, such as vehicle type recognition and license plate recognition. in this paper, we introduce svm to the field of its, the main work is described as follows : ( 1 ) we summarize the latest research achievements and development of its, present the conceptions of slt and the principles of svm ; ( 2 ) taking the traffic sign as examples and adopting hough transform in the stage of feature extraction, we introduce svm to the problem of shape recognition and compare the experimental results with traditional learning methods. ( 3 ) then we use svm to settle the vehicle type recognition problem, where we utilize the wavelet analysis and mathematical morphology method to extract the figure feature

    本文將支持向量機引入智能交通系統領域,主要進行的工作如下: ( 1 )整理總結了國內外學術界關于統計學習理論方面的研究成果,介紹統計學習理論的基本概念和支持向量機的基本原理; ( 2 )在形狀識別問題中以交通標志圖像作為實驗對象,利用hough變換進行特徵提取,在識別階段利用支持向量機方法進行分類,並與神經網路等傳統學習方法對比; ( 3 )將支持向量機應用於車型識別問題中,針對收費站採集的汽車圖像,首先採用小波分析和數學形態學的方法提取其外形特徵,在識別階段利用支持向量機方法進行分類,並與其他傳統學習方法進行了對比; ( 4 )將支持向量機應用於車牌識別問題中,車牌識別包括車牌定位、車牌字元分割以及字元識別三個步驟,先採用數學形態學方法對車牌區域進行定位,然後採用top - hat變換等方法分割車牌字元,在識別階段採用支持向量機演算法進行字元識別,取得了較為滿意的結果。
  4. The data mining techniques produce and develop quickly under the application environment. they can converse the sea data into the useful knowledge automatically and intelligently. the discovering methods synthesize the research achievements in the fields including expert system, machine learning, statistics, pattern recognition, database, etc. they can resolve the problems in the information and in favor of data ' s conversion

    數據挖掘技術是一門交叉性學科,涉及到機器學習、模式識別、歸納推理、統計學、數據庫、數據可視化、高性能計算等多個領域,對解決在信息技術發展中存在的擁有大量數據但缺乏有用信息的問題,以及完成從業務數據到決策信息的轉換方面具有較強的功效。
  5. And then, the thesis brings forward a new modeling method - abnormal customers recognition system based on generalized computing and classification and regression trees. the system is composed of multi - rules neural network learning part and classification and regression trees processing part

    然後,通過深入研究多準則神經網路和決策樹的特點,論文提出了將多準則神經網路應用於決策樹的建模方法? ?基於多準則神經網路和分類回歸樹的異動客戶識別系統。
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