This paper presents an adaptive congestion control model in ATM networks at the user to network interface by using a diagonal recurrent neural network (DRNN) as an predictor.

　
英 美
  • 提出一種在用戶(hù)-網(wǎng)絡(luò )接口處利用對角遞歸神經(jīng)網(wǎng)絡(luò )(DRNN)作為自適應預測器，實(shí)現ATM網(wǎng)絡(luò )自適應擁塞控制的模型。
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