映射網路 的英文怎麼說

中文拼音 [yìngshèwǎnglù]
映射網路 英文
manetwork
  • 映 : 動詞1. （因光線照射而顯出物體的形象） reflect; mirror; shine 2. （放映） project a movie
  • 射 : Ⅰ動詞1 （用推力或彈力送出） shoot; fire 2 （液體受到壓力迅速擠出） discharge in a jet 3 （放出） ...
  • 網 : 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...
  • 路 : 1 （道路） road; way; path 2 （路程） journey; distance 3 （途徑; 門路） way; means 4 （條理） se...
  • 網路 : 1. [電學] network; electric network2. （網） meshwork; system; graph （指一維復形）; mesh
  1. Based on the four principal components, the 18 chosen karst basins are classified into three types by the technique of som ( self - organizing map ). the laws of correlation of unclassified karst basins and classified karst basins are compared. as a result, the grades of the correlation between factors and low flow are higher than those of the formers

    為了使樣本具有代表性，論文利用自組織特徵映射網路（ som ）可以在無教師示教的情況下，實現對輸入模式的自組織分類的特點，以18個流域的主成分數據變量作為網路輸入，在som （ self - organizingmap ）網路中進行了分類，把18個喀斯特流域分成三大類。
  2. To quicken convergence and improve model precision, a new algorithm is presented in this paper, which utilize construct orderliness property of self - organization feature maps ( sofm ), divide system input space and adopt 1 order or 2 order local model in each subspace individually instead of a global model

    為了提高收斂速度和模型精度，本文利用自組織映射網路拓撲有序特性，對系統輸入空間進行分割，在子空間中採用多個局部一階線性模型或二階模型代替全局模型的局部化方法。
  3. A kind of synthetic evaluation mode based on sofm networks

    基於自組織特徵映射網路的綜合評價模型
  4. The article introduces in detail the structure of index, and its realization of algorithm and schematic of program structure of self organizing map ( som ) ; and explains the feasibility of som through examples

    文章詳細介紹了索引結構及自組織特徵映射網路（ selforganizingmap ， som ） ，闡述了它在本軟體中的實現演算法和程序結構簡圖。
  5. This paper proposes a novel clustering algorithm based on a family of self - organizing feature map network according to the features of self - organizing feature map network. the algorithm is presented in detail in the paper. the simulated

    結合自組織神經網路的特點，提出自組織映射網路族的概念，在該概念的基礎上，提出一種新的基於自組織特徵映射網路的聚類演算法，詳細闡述了演算法步驟。
  6. Command together with a user supplied argument to map a network resource

    命令和用戶提供的一個參數一起映射網路資源。
  7. Step 3 : create file share resources and map network drives

    步驟3 ：創建文件共享資源並映射網路驅動器
  8. Step 3 : map network drives

    步驟3 ：映射網路驅動器
  9. Map network drive

    「映射網路驅動器」
  10. For more information about mapping network drives, see your windows documentation

    有關映射網路驅動器的詳細信息，請參閱windows文檔。
  11. It is impossible to structure the ip addresses in a way that truly maps the network topology

    不可能以真實映射網路拓撲的方式建立ip地址的結構。
  12. Map network drives and create cluster file share resources for deployment and run - time files

    映射網路驅動器，並為部署和實時文件創建群集文件共享資源。
  13. Simulating study of cfl learners ' chinese orthographic awareness development based on self - organizing feature map network

    基於自組織特徵映射網路的漢字習得模型
  14. Just enter the path to the drive in standard unc format - server - share and select the letter to map the drive to

    它還可以映射網路驅動器.只需輸入驅動器的路徑標準的unc格式
  15. When you ' re disconnected from the network, you can still have access to network files, folders, and mapped network drives

    當從網路上斷開連接時，依然可以訪問網路文件、文件夾和映射網路驅動器。
  16. The parameter of local model can be calculated by gradient descent in neighborhood with the sofm weight together, or estimated by least - squared estimation ( lse )

    局部模型的參數既可和映射網路權值一起在鄰域內採用梯度下降法修正，也可結合最小二乘法得到其最佳估計。
  17. To accelerate the learning process of self - organizing mapping in the situation of large mount of data or high dimension, two learning algorithms were proposed in this paper, by using partial distortion search and extended partial distortion search respectively to solve the problem of nearest neighbor search during learning process, which could reduce the multiplications greatly

    摘要針對傳統的自組織映射網路在大數據量或高維情形下訓練過程較慢的問題，提出了分別使用部分失真搜索和擴展的部分失真搜索來完成傳統演算法中最耗時的最近鄰搜索過程，減少了完成訓練所需乘法次數。
  18. The applied of demodulation with esa is advanced with which diagnosis precision has been improved, and real time diagnosis and accuracy ratio are satisfied on bearing production line. automatic classification model using integration of adaptive wavelet transform network and self - organizing feature map network is introduced. the strong suits of wavelet and neural network are made use of in this model and bearing fault classification is realized automatically

    第三章提出了一種自適應小波變換網路與自組織特徵映射網路（ self - organizingfeaturemapnetwork - somn ）集成的故障自動分類模型，該模型把小波的時頻局部化優點與神經網路的自學習、非線性映射能力有機結合起來，把高維測量空間中的非平穩信號復雜信息映射到易於分類的二維空間，實現了軸承故障自動分類。
  19. ( 3 ) an algorithm for classification of texture image based - on spectrum histogram and self - organized feature mapping network in proposed

    三、提出一種基於紋理譜直方圖和自組織特徵映射網路（ sofm ）的紋理分類演算法。
  20. Secondly, self - organizing map network are researched and the characteristics of the netowork are figured out through simulated experiments

    其次，對神經網路中的自組織特徵映射網路模型進行研究，並通過實驗對網路特性進行分析討論。
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