摘要
非线性系统很少有精确的数学模型,因此,很难就系统提出一个良好的控制方法。为了解决这一问题,本文用人工神经网络来辨识非线性系统,并着重介绍其学习算法BP算法。
As non - linear system seldom has accurate arithmetic model. It is very difficult to propose a good controlling method for it. To solve this problem, the writer of this article suggests that artificial nervous network be employed in identification of the system, and lays emphasis on presentation of its algorithm___BP algorithm.
出处
《安徽电子信息职业技术学院学报》
2004年第1期66-68,共3页
Journal of Anhui Vocational College of Electronics & Information Technology