fuzzy classifier method 中文意思是什麼

fuzzy classifier method 解釋
模糊分類法
  • fuzzy : adj. 1. 有茸毛的，覆著細毛的，如茸毛的。2. 不清楚的。fuzziness n.
  • classifier : n. 1. 分類者。 2. 【礦物】分級機。3. 【化學】分粒器。4. （漢語等中的）量詞。
  • method : n 1 方法，方式；順序。2 （思想、言談上的）條理，規律，秩序。3 【生物學】分類法。4 〈M 〉【戲劇】...
  1. On the basis of that, the method of acquiring characteristics by infrared plane detection is given, according to the characteristics gained and the pattern recognition, a fuzzy - neural vehicle classifier based on the vehicle ' s length height and axles is carried out

    採用二維紅外檢測技術獲取車輛外形幾何參數的方法，運用模式識別的理論，結合模糊邏輯和神經網路兩者的優點，進行車型自動分類器設計。
  2. The output information of single classifier has three forms of abstract, rank and measurement single classifier supplies both the unknown pattern classifying information on the measurement level and the wrong classifying distribution information of the training samples on the abstract level, which are used to design the fuzzy multiple classifiers combination method

    單個分類器的輸出信息有三種表現形式：符號層、排序層、度量層。應用單個分類器在度量層次上，對未知模式的分類信息；在符號層次上，訓練樣本的錯分類分佈狀況，設計了模糊多分類器組合方法。
  3. ( 5 ) a series of design methods of classifiers are proposed, including the classifier based on the generalized inverse and the probabilistic reasoning method ( prm ), a new self - adaptive kohonen clustering network which overcomes the shortcomings of the conventional clustering algorithms, and the fuzzy neural classifier. the experimental study efface recognition is presented based on the combination of multi - feature multi - classifier. ( 6 ) this paper proposes a hybrid feature extraction method for face recognition, which is a combination of the eigen matrix, fisher discriminant analysis, and the generalized optimal set of discriminant vectors

    （ 5 ）對圖象分類器設計方法進行研究，主要包括：提出了一種基於廣義逆和概率推理的分類器設計方法；提出了一種新的自適應模糊聚類演算法；提出了基於模糊神經網路的分類器設計方法；並對多特徵多分類器組合方法在人臉識別中進行實驗研究； （ 6 ）提出了一種只要一個訓練樣本就能解決人臉識別問題的新方法，該方法結合了特徵矩陣、 fisher最優鑒別分析和廣義最優鑒別分析方法的優點。
  4. This paper designs a two - stage classifier, which is based on the combination of the covering approach, fuzzy set theory and the possible set based method. experimental results show that this classifier has a good performance

    本文嘗試將基於可能集合的粗分類方法與模糊球面領域覆蓋思想相結合，設計出一種兩級分類器，實驗表明這是一種效果較好的分類器。
  5. There are three steps in the combined. firstly, the template matching method is used to classify roughly in the first step ; secondly, the fuzzy pattern recognition method which are connected paralled is used to classify finely ; at last, the third classifier, which input is the output of the second classifiers, raise one ’ s hand as its decision rules

    第一級分類器採用模板匹配法進行粗分類;第二級分類器由并行的模糊模式識別分類器組成，進行細分類;第三級分類器是綜合分類器，它將第二級的輸出作為輸入，根據舉手錶決規則得到最後的輸出結果。
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