The control system can adjust the weights of hybrid neural network and the parameters of controller timely to keep good control performance when the character of controlled plant varies.
当被控对象的特性发生变化时，可对混合神经网络权值及时进行修正并调整控制器参数使控制系统始终保持良好的控制性能。
Finally, this paper presents an improved model of the magnetic chain, using a single neural network PID controller to adjust the stator flux, and set up the corresponding flux estimation model.
最后本论文提出了一种改进的磁链模型，引入了单神经元网络PID控制器来调节定子磁链，并建立了相应的磁链模型。
To BP neural shortcoming of network, study one dynamic self-adaptation is it study improvement type BP algorithm of parameter to adjust.
针对BP神经网络的缺点，研究了一种动态自适应调整学习参数的改进型BP算法。
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