An improved Backward Error Propagation Algorithm used as neural network controllers to control a nonlinear system is presented in this paper.

对非线性系统神经网络控制器提出了一种改进的误差反向传播算法。

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As the basic unit of Neural Network, Neural Controllers with different learning rules will result in different control effects for the learning process of synaptic weights.

作为神经网络控制的基本单元，采用不同学习规则的神经元控制器，对神经元的学习过程将产生不同的影响。

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