構造分類 的英文怎麼說

中文拼音 [gòuzàofēnlèi]
構造分類 英文
structural classification
  • : Ⅰ動詞1 (構造; 組合) construct; form; compose 2 (結成) fabricate; make up 3 (建造; 架屋) bui...
  • : Ⅰ動詞1 (做; 製作) make; build; create; produce 2 (假編) cook up; fabricate; concoct 3 [書面語...
  • : 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
  • : 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...
  • 構造 : structure; construction; constructional detail; tectonic; structural; makeup; anatomy; constituti...
  1. There are many ways for constructing classifier

    有許多模型用來構造分類器。
  2. We analyze the classifying results based on the fuzzy text classifying, think the wrong classifying results can be divided into two styles, and we propose a subordinative degree update algorithm aim at the two instances. combined the nizzy semantic relationship classifying algorithm, we propose the gradual classifier construction algorithm through checkouting and correcting the wrong results constantly with the update formula.

    在模糊文本的基礎上,對結果進行了析,將錯誤歸結為兩種型,並針對這兩種情況提出了隸屬度更新演算法,結合模糊語義關聯度的演算法提出了運用更新公式不斷對結果進行校驗糾錯進而逐漸地構造分類器的演算法。
  3. Since it is a new pattern recognition method, some fundament knowledge was discussed in this paper, such as the basic notion of subspace method, the construct of subspace classifier, the classing rules, the rejecting rules, etc. at last the representative blsm and alsm classifier were tested with multiple character sets

    作為一種新的模式識別方法,本文講述了子空間方法的基本理論、子空間器的決策規則、拒識規則等知識,並用多種小字符集測試了具有代表性的blsm和alsm子空間識別器。
  4. Mining classification rules is a procedure to construct a classifier through studying the training dataset. it is a very important part of data mining and knowledge discovery

    規則挖掘則是通過對訓練樣本數據集的學習構造分類規則的過程,是數據挖掘、知識發現的一個重要方面。
  5. In the second section, we structure a kind of semirings, namely semidirect product of semirings, and prove an isomorphic theorem of semidirect products. in the third section, we give the characterizations of the relations of all kinds of regular semirings and introduce the concept of pseudo - inverse and the necessary and sufficient conditions of pseudo - invertible element. in the fourth section, we define an equivalence relation on the cartersian product of commutative semiring and its multiplicative subset

    第二部,先半環,半環半直積,然後證明半直積的同定理第三部,刻劃了半環各正則元之間關系,引入偽逆的定義,給出了可偽逆元素的充要條件第四部,在交換半環和乘法集的卡氏積上定義等價關系,進而了一交換半環:式半環
  6. Abstract : this paper introduces the tectonic pattern and tectonic division, sedimentary features of late tertiary, and the classification of the oxidation zone in sedimentary cover, and discusses development features of the oxidation zone and its relationship with uranium mineralization in yingjiang basin

    文摘:本文介紹了盈江盆地的格架及區、晚第三紀盆地沉積特徵,對盆地蓋層發育的氧化帶進行,論述了氧化帶的發育特徵及其與鈾礦化的關系。
  7. In the second chapter, the kdv type equation on unbounded domain is considered. applying with the method of decomposing operator and the theory of constructing some compact operator in weighted space, the existence of exponential attractor is obtained

    在第二章中,運用帶權空間緊運算元和運算元解的方法,研究了無界區域上的kdv型方程,得到了該方程指數吸引子的存在性
  8. Classification is an important sub - branch of data mining, which aims to build the classifier used to predict the class label of new coming data

    ( classification )是數據挖掘領域的一個重要研究支,首先要構造分類器,並對依據器對新數據進行別預測。
  9. That is to say, how to make algorithm effective in large dataset is same to small dataset. this measure main idea is reduce primary occupation in order to improve the efficiency of algorithm

    即如何使得演算法對海量的數據集同小量的數據集一樣具有很高的效率,減少內存的限制,提高構造分類器的效率。
  10. In the final, the thesis build a rapid face detection system using a cascaded classifiers based on adaboost learning algorithm, harr - like feature and the method of building classifier

    最後本文運用基於adaboost學習演算法和harr - like特徵及本文提出的由特徵構造分類器方法,採用一種器的結,搭建了一個快速的人臉檢測系統。
  11. Different from traditional classification machine, our research is preceded under the situation of lacking class label and class information, replacing manual classification with clustering in order to gain classification information and the rustle is good

    與傳統器不同,我們在缺乏信息的情況下,採用聚替代領域專家的人工獲得信息,為構造分類器提供合適的信息,取得了較好效果。
  12. There are three factors must research in the rapid face detection method based on learning : learning algorithm, the definition of features and the method of building classifier based on these features, the manner of combining effectively these features

    本文認為,在基於學習的快速人臉檢測方法中,有三個需要研究的要素,別是學習演算法、特徵的定義及基於此特徵形式構造分類器的方法和特徵的有效組合方式。
  13. ( 2 ) the influence to classification result is highly effected by using different classifier, for example, the center - vector algorithm obtains better classification results than other two algorithms. with the character feature, the average recall is 80. 73 %, and the average precision is 82. 94 %, and with the chinese - word feature, the average recall is 83. 6 %, and the average precision is 85. 97 %. different corpuses influence the classification result. for example, the average recall is 89. 31 % and the average precision is 88. 33 %, by using the news web pages as corpus from the web site " www. sina. com. cn ", which adopt the center - vector algorithm to structure classifier and select chinese - word as feature

    對三種別以字、詞為特徵進行測試、析發現:使用相同的演算法,用詞作為特徵項,比以字作為特徵的效果好;用不同的演算法構造分類器對效果的影響很大,如中心向量演算法在字、詞特徵下的效果優于其他兩演算法;在以字為特徵的情況下,該演算法的平均查全率80 . 73 ,平均查準率82 . 94 ;在以詞為特徵的情況下,該演算法的平均查全率83 . 6 ,平均查準率85 . 97 ;選用語料不同對效果也有影響,如用新浪網( www . sina . com . cn )網頁語料進行測試,使用中心向量法器和詞作為特徵的情況下,平均準確率為89 . 31 ,平均查全率為88 . 33 。
  14. The current moderately strong earthquakes in east china have been preliminarily classified according to the tectonics based on information from laboratory study results - it presents the similar fracture pattern and characteristics of precursory evolution to similar structural tectonics on the action of extra adding loads

    摘要基於在相似外載荷作用下結相似的可表現出似的破裂圖像及前兆演化特徵的實驗室研究結果,對華東地區現代中強地震進行了初步構造分類,在此基礎上析研究了19次震例前地震活動圖像異常的統計特徵。
  15. This paper proposed some methods for finding out sure regions and ambiguous regions defined by lower and upper approximations in rough set theory. an applicable ending - criterion for semi - supervised back - propagation algorithm was proposed and a new rough classifier framework was studied, the assessment results show the effectiveness of the proposed criterion. a new classifier based on support vector machines was studied and applied

    本文提出了幾種劃樣本邊界區的方法:提出了一種應用於半監督bp演算法的實用結束判據,並根據粗糙集理論,研究了一種新的粗糙機制,取得良好的效果;應用支持向量機理論,構造分類器並劃樣本邊界區;最後研究多個器集成的方法尋找樣本邊界區,同樣提高了暫態穩定評估的可靠性
  16. Improving operation decision is to reduce cost, improve profit rate and expand market share. in particular, the commerce intelligence system based on data warehouse, which efficiently analyzes & abstracts all kinds of operation datum distributed on enterprise network and separates data structure apt to structure analysis from analysis method

    特別是以數據倉庫為基礎的商務智能系統,將佈在企業網路中各種型的業務數據進行有效的析、提煉,使面向析的數據結析方法相離,可以有效地管理和利用企業多年來積累的各種歷史數據和統計信息,供服裝企業高層管理者決策。
  17. We use control chart to characterize states of security environment and data mining to construct intrusion detection strategies. the latter includes pattern mining, pattern consolidation arid pattern comparing. in succession to it, we construct attribute set and training set for classification of net data

    其次討論了自適應空間的成,使用控制圖來建條件空間,用數據挖掘技術來建策略空間,重點討論了怎樣把數據挖掘技術應用到策略空間的中,包括模式的挖掘、合併、比較以及在此基礎上器所需要的屬性集與學習集。
  18. The thesis discussed respectively these three factors in the rapid detecting algorithm based on learning, studied emphatically the method of building classier based on features and the combing of the weak classifiers which is needed to build rapid face detection system. about building classifier based on harr - like features, the thesis put forward a novel method based on the symmetry efface

    本文對基於學習的檢測演算法中的三個要素別展開了討論,重點研究了由特徵器的方法和建快速人臉檢測系統所必需的弱器的組合,關于特徵器,提出了一種新的基於人臉對稱性的由特徵構造分類器的方法。
  19. The construction of input and output sample, designing of classifier and designing of the training network configuration are introduced respectively, some improvement algorithms of bp neural network are discussed. the efficiency of star pattern recognition greatly is improved through ameliorating configuration of network and program method

    介紹了識別系統中輸入、輸出樣本的器的設計以及訓練網路結的設計,討論了基於bp神經網路訓練的一些改進演算法,通過對網路結與編程方法的改進使星圖識別的效率大大提高。
  20. This method firstly defines a type of feature format and then bases on it to build several weak classifiers using the method of building classifier whose performance is less good. learning algorithm chooses and combines the weak classifier, generated the strong classifier combined by weak classifiers, and then it can be used to detect face

    這種方法首先定義一種特徵形式並基於此特徵形式使用構造分類器的方法出可以進行初步人臉檢測的多個弱器,這些弱器經過學習演算法的挑選和組合,作為學習演算法的輸入生成強器,進行人臉檢測。
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