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.

• 提出一种在用户-网络接口处利用对角递归神经网络(DRNN)作为自适应预测器，实现ATM网络自适应拥塞控制的模型。