語義網路模型的英文怎麼說

中文拼音 [wǎngxíng]
語義網路模型英文
semantic network model

  • : 語動詞[書面語] (告訴) tell; inform
  • : Ⅰ名詞1 (正義) justice; righteousness 2 (情誼) human ties; relationship 3 (意義) meaning; si...
  • : Ⅰ名詞1 (捕魚捉鳥的器具) net 2 (像網的東西) thing which looks like a net 3 (像網一樣的組織或...
  • : 1 (道路) road; way; path 2 (路程) journey; distance 3 (途徑; 門路) way; means 4 (條理) se...
  • : 模名詞1. (模子) mould; pattern; matrix 2. (姓氏) a surname
  • 語義: semanteme; semantics
  • 網路: 1. [電學] network; electric network2. (網) meshwork; system; graph (指一維復形); mesh
  • 模型: 1 (仿製實物) model; pattern 2 (制砂型的工具) mould; pattern3 (模子) model set; mould patter...

※中文詞彙語義網路模型在字典百科國語字典中的解釋。

  1. Chapter two puts forward the general idea about the lexical selection model and then gives a brief introduce to the interlingua and hownet, which will be used in succedent discussions. chapter three introduces the construction of example base and semantics pattern base, which are the main data resources of the lection selection model

    第二章是系統結構和基礎知識,提出了選詞的總體思,簡要介紹其系統結構;並對中間言表示方法及基於知計算等有關基礎知識進行了介紹。
  2. In fact, whichever the silicon valley of usa, or the emillia - romagna of italy, they also have self - feature regional innovation networks, which play an important role in achieving availability configuration of innovation resources and improving innovation ability. this article discusses some questions related to the model dynamism of regional innovation networks and the role of government in the regional innovation networks on the base of description of regional innovation networks. at the same time, this article will put an emphasis on the comparative analysis between the innovation networks of traditional industry district and the innovation networks of high technology industry district, expound how to constitution and develop regional innovation networks. finnaly, this article makes two empirical analysis about regional innovation networks of traditional industry distric of liu shi and software industry district of hang zhou

    研究表明,不論是在美國的矽谷,還是在大利的艾米利亞?羅馬格納地區,都存在各具不同特色的區域創新,它們在實現創新資源有效配置和提升企業創新能力方面發揮了重要作用。本論文擬對區域創新這一新的產業組織形式進行全面闡述的基礎上,來探討區域創新、優勢及其產生機理,以及區域創新中政府的作用與職能。同時,本論文著重對傳統產業區與高技術產業區創新進行了比較分析,提出了培育、發展和完善區域創新的建議。
  3. Abstract : artifical intelligence methods are implemented to simulate thebehaviors of axially and laterally loaded piles using the field observation tests data obtain ed f rom the drilled shafts and driven piles. the optimal neural network model is deve loped using only simple input data of spt - n values and piles ' geometrical featu r es etc. the analysis for r. c piles of some projects is performed adopting the bp n n and grnn models respectively, and the obtained predicated results are compared w ith the data from conventional design method. it demonstrated the obvious advanta ges of neural networks in the design of pile foundations over the traditional me thods. this paper has an important practical significance and a referential worth iness in the design of pile foundations

    文摘:根據鉆孔樁和打擊樁的原試驗觀測的數據,運用人工智慧方法對橫向承載樁和軸向承載樁的工作特性進行擬,並利用標準貫入試驗( spt - n )值和樁的幾何特性等簡單的輸入數據,開發出相應的優化神經;然後,運用反向傳播神經和廣回歸神經分別對某工程的鋼筋混凝土樁進行分析,並將求得的預測結果與常規設計法的結果進行比較,結果表明神經方法比傳統方法有明顯的優越性,在實際工程設計中具有重要的參考價值和現實意
  4. 4 ) semantic discovering and matching model based bp network the classifier output is used as training data for a bp neural net. the net produced by this can recognize attributes within the database based on their metadata and emerge learning rules

    4 )基於bp發現和匹配設計建立bp,通過對樣本數據進行學習進而形成匹配規則,用於異構數據庫之間的匹配。
  5. To overcome the difficulty in determining the rbf center numbers and spread, a kind of generalized genetic algorithm is introduced, which follows the analysis of the basic rules of genetic algorithm. the new hybrid algorithm determines the center numbers and spread adaptively to reach the optimal tradeoff between the training accuracy and the generalization, so it increases the prediction accuracy of the model

    針對建過程中出現的rbf中心和寬度難以確定的難點,在分析遺傳演算法機理和基本演算法的基礎上,提出了使用廣遺傳演算法對rbf神經的中心和寬度進行自適應選擇,從而達到訓練精度和范化能力的一個最優的平衡,從而提高的預報精度。
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