類模型 的英文怎麼說

中文拼音 [lèimóxíng]
類模型 英文
cg
  • 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...
  • 模 : 模名詞1. （模子） mould; pattern; matrix 2. （姓氏） a surname
  • 模型 : 1 （仿製實物） model; pattern 2 （制砂型的工具） mould; pattern3 （模子） model set; mould patter...
  1. The definition and classificatory former of regional public goods

    區域公共產品的界定及分類模型
  2. 8th joint symp. computational linguistics, nanjing, 2005, pp. 217 - 220. 54 wang j b, du c l, wang k z. study of automatic abstraction system based on natural language understanding

    國內研究者探索了基於實例無指導學習方法互信息計算詞匯向量空間基於依存分析與貝葉斯分類模型結合等各種方法。
  3. Classification model is based on typical rough set theory and entropy theory, select the attribute according to entropy theory, determine the equivalence classes according to indiscernible relation, then extract the classification rules

    分類模型是以經典的粗糙集合理論和信息熵理論為基礎，依據信息熵理論對屬性進行篩選，依據不可區分關系確定等價類，從而提取決策規則。
  4. The destination of classification is to learn a classification function or classification model that can map a data item to a preassigned class

    分類的目的是學會一個分類函數或分類模型，該模型能把數據庫中的數據項映射到給定類別中的某一個。
  5. In this paper, we study focus on building intrusion detection model based the technique of data mining ( dm ). firstly, the paper designed a scheme to modeling intrusion detection based dm and bright forward the idea of descriptive model and classified model to intrusion detection. secondly, we designed and implemented a net data collection system with high performance and a scheme to pretreat net data. thirdly, after studying the algorithms to mine association rule and sequence rule in net data, we extended and improved the algorithms according to the characteristic of net data and the field knowledge of intrusion detection

    首先設計了基於數據挖掘技術的入侵檢測建模方案，提出使用該技術建立入侵檢測描述性模型和分類模型的思想，並用分類判決樹建立了入侵檢測分類模型；其次，設計和實現了一個高性能的網路數據採集系統和網路數據預處理的方案；然後，在對關聯規則挖掘和序列規則挖掘演算法進行研究的基礎上，結合網路數據的特性和入侵檢測領域的知識對演算法進行了擴展和改進，挖掘出了網路數據的關聯模式和序列模式；最後，研究了描述性模式的應用，並設計出基於模式匹配的入侵檢測引擎，該引擎具有誤用檢測和異常檢測功能。
  6. Literatures indicate that logit model, logistic model, probit model, mlr, cluster model, option model, proportion risk model, and discriminant analysis are the main effective methods and models when researching the determinants of residential mortgage default risk

    通過梳理文獻發現， logit模型、 logistic模型、 probit模型、多元線性回歸、聚類模型、期權模型和比例風險模型、判別分析是研究個人住房抵押貸款違約風險影響因素時採用的主要方法和模型。
  7. Thi s paper proposes a new automatic natura1 1anguage text categorization modu1e based on concept. thi s modu1e takes howwenet as the main source of knowledge, the concepts of words as the bas ; is of text categorization. the concepts of words are reduced to sememes and the tc is performed in the classfiab1e sememe vector space ( csvs )

    本文提出了一個基於概念的自然語言文本自動分類模型，該模型以《知網》為主要的概念知識源，以詞所表示的概念為分類基礎，把概念繼續分解至義原，並在可分義原組成的向量空間進行文本分類。
  8. The calculation results show that the method designed is quite satisfactory. the models can reproduce the annual precipitation sequence and monthly precipitation sequence. and then the regional aridity index can be estimated statistically, in addition, they can reproduce the characteristic of history precipitation series

    這兩類模型分別用於生成模擬年降雨量序列和月降雨量序列作為地區乾旱指標序列，從而對所研究地區乾旱特徵量的統計特性進行估計，並對已發生的地區乾旱的重現期進行識別。
  9. Stochastic stability behaviors analysis in a nonlinear harmful algal model

    赤潮藻類模型的非線性隨機穩定性研究
  10. Our results imply that mutual interference in a species may result in coexistence of the two competing species and demonstrate that those time delays do not influence the competitive outcome of the organisms. ii ) the asymptotic behaviour of the chemostat model with mutual interference or without mutual interference is studied. for the two models with delay, the uniform persistence of the models are both proved under the conditions of the existence of the positive equilibrium

    二、研究了無種內競爭和有種內競爭的具有階段結構的時滯恆化器模型的漸近性態，對于兩類模型，都在正平衡點存在性的條件下證明了該系統的一致持續生存，對于兩類相應的常微系統的模型，均在正平衡點存在性的條件下證明了該正平衡點的全局穩定性。
  11. Therefore, it is a puzzle to study the classification model, increase the class number and improve the detection ratio according to the classic classification algorithms

    因此，不管是分類模型的建立，還是分類類別數目的擴展和分類率的提高，難度都相當大。
  12. Compared with the classical model of decision tree, this model has more excellences such as being easy to build the model and to expand, a great capability of fault tolerance

    通過與經典的決策樹分類模型進行比較，本文分類方案具有建模簡單、擴展性好、容錯能力強等優點。
  13. Analysis of dynamic consumer detailed segmentation model based on cloud model

    基於雲模型的動態客戶細分分類模型研究
  14. The innovations of this thesis can be summarized into three points. firstly, the average relative velocity is introducd into a novel adptive weighted clustering algorithm as one important parameter of weight, then it increases the stability and self - adaptability of cluster head. secondly, a new approach to calculating weight is suggested by integrating subjective and objective factors. it is verified by comparison with other approaches to selecting weight. thus the velocity of weight responding to the changes of network topology is increased. finally, using a som neural network to create a classifying model enables every node to learn to identify by itself the role in manet

    本文的創新點有三個:首先本文在wca和aow分簇演算法的基礎上，引入了平均相對移動速度作為權值重要的參數，提出了一種新的基於權值的自適應分簇演算法，提高了簇頭在移動中的穩定性和自適應性;其次，提出了利用主客觀綜合賦權法確定權重的權值計算方法，通過與其他權重選擇方法比較，網路結構變化的權值響應速度得到了改進;最後，論文利用自組織特徵映射神經網路建立分類模型，使得網路中的節點可以自學習地確定簇中角色。
  15. Second, we design a chinese text clustering model ctcm and research main aspects of ctcm such as feature presentation, feature extraction, the adjust of feature vector and clustering algorithm. third, we lay emphasis on the study of text clustering algorithm

    然後，我們設計了一個中文文本聚類模型ctcm （ chinesetextclusteringmodel ） ，並針對模型中涉及到的特徵表示、特徵提取、特徵向量調整和聚類演算法等問題進行了研究。
  16. In the case of the maximal observing time model, the solving problem can be break up into small problem which is find the elevation having maximal observing time of every access. thus, a simple enumeration algorithm can be used to solve it

    對時間覆蓋率優先問題，通過對這類模型的求解問題的特點進行分析，將問題轉化成為求解單次訪問的時間最長觀測帶這一等價問題，實現了最優求解。
  17. In this article, we apply em algorithm to estimating the values of the parameters of nhpp models. the estimating accuracy may be increased by this way. so the result software reliability analysis may be improved by this way too

    最後本文應用文獻[ 33 ]中介紹的em演算法于nhpp類模型的參數估計，以提高估計的精度，從而提高軟體可靠性分析的精確程度。
  18. Another highlight of the architecture is introduction of data mining technique. ids makes use of data mining algorithms to abstract key features of system runtime status from security audit data such as system log and network data stream, and then constructs classify engine of audit data

    本文提出的體系結構中還引入了數據挖掘思想，利用數據挖掘技術中的關聯分析、分類等演算法從系統日誌、系統調用序列、網路流等海量的安全審計數據中提取關鍵的系統特徵屬性，根據這些屬性生成安全審計數據的分類模型用於入侵檢測。
  19. The grey cluster model of classroom teaching evaluation

    課堂教學評估的灰色聚類模型
  20. Since scientific papers are usually semi - structural documents, a hierarchy classification model based on the metadata of scientific papers is proposed, where the metadata include the titles, keyword sets, abstracts and so on

    摘要針對科技論文具有半結構化的特點，提出利用科技論文的元數據的多層次分類模型。
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