摘要
提出了一种神经网络的智能IMC模型辨识方法,给出了有效的基于共轭梯度的神经网络学习算法。仿真实验结果表明,该方法可用于难以建立数学模型的对象。
Presents the identification of dynamic systems using neural networks with a single hidden layer.New algorithims based on RF and derived for neural network model and the application to simulated is included to demonstrate the effectiveness of the neural network approach.
关键词
神经网络
模型辨识
内模控制
neural network
dynamic identification
internal model control
