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  1. paper

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  2. RBFNN based technique is tested for faults with wide range of operating conditions and provides accurate results for fault classification and location determination, respectively.-Distance relaying for transmission line using support vector machine
  3. 所属分类:WinSock-NDIS

    • 发布日期:2017-04-04
    • 文件大小:238813
    • 提供者:charlie
  1. BPaRBF

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  2. 利用BP神经网络与RBF(径向基函数)网络对三类目标(W.zip, T.zip, B.zip)进行分类,比较两种网络的分类性能-BP neural network and RBF (Radial Basis Function) network on three goals (W.zip, T.zip, B.zip) categorize performance comparison of the two networks
  3. 所属分类:Internet-Socket-Network

    • 发布日期:2017-04-12
    • 文件大小:1253
    • 提供者:care
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