摘要
文章提出了应用人工神经网络模型进行颤振预报的方法。结合实测振动数据，找出了足以反映振动状态变化的特征量，并给出了人工神经网络模型的程序实现方法。最后对人工神经网络方法的性能和改进作了探讨，指出人工神经网络是一种较为可靠的预报模型。
A vibration predicting method by artificial nerve network model is suggested on the basis of analysis on current vibration predicting method. Based on the measured vibration data, it found out the characteristic values that will reflect the vibrating condition and suggested a way to establish the artificial nerve network model.An approach is made to the performance and improvement on the model. It showed that the artificial nerve network is a more reliable model for vibration predicting.
出处
《制造技术与机床》
EI
CSCD
1995年第12期17-19,共3页
Manufacturing Technology & Machine Tool
关键词
神经网络
颤振
金属
切削
监测
Artificial Nerve Network,Vibration Predicting,Metalcutting
