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AT M网络自适应拥塞控制的模型。
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.
非线性复杂系统的预测控制是一种高性能的控制方法，其关键在于非线性预测器模型的实现。
The prediction control is an excellent method for the control of non-linear complex system. The key unit for predicting control is to design a suitable prediction model.
非线性复杂系统的预测控制是一种高性能的控制方法，其关键在于非线性预测器模型的实现。
The prediction control is an excellent method for the control of non-linear complex system. The key unit for predicting control is to design a suitable prediction model.
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