BP算法的改进及其在非线性转子建模中的应用

具有迟滞非线性特性元件（如高弹联轴节）的轴系，由于非线性迟滞恢复力和阻尼力不仅是非线性的，而且还与频率和振幅有关，所以其动力特性异常复杂，一般得不到其振动响应的理论解．因此，可以采用人工智能的方法来获取数值解．1．BP网络学习算法人工神经网络是由大量处理单元组成的非线性大规模自适应动力系统，具有学习能力、记忆能力、自述能力及智能处理功能，并在不同程度上模仿人脑神经系统的信息处理、检索及存储功能．它是在现代神经科学研究成果的基础上提出的，试图通过模拟大脑神经网络处理记忆信息的方式设计一种新的机器，使…

A New Improved BP Algorithm and Its Application on Modeling for a Nonlinear Rotating Shafting

In order to simulate the response of shafting with hysteresis nonlinear elementsa new improved BP algorithm is proposed. In the new method, the iteration steps,which are previously determined by experience, are here optimized, to prevent errorfunction from falling into a local minimum. At the same time, a new excitationfunction is adopted, so that the learning process of BP network will not oscillateand diverge under large iteration steps. The above two improvements increase theconvergent speed and stability of BP network. An illustrative example is given toshow the effectiveness of the new method.