摘要
数据削波是工程测试中经常遇到的问题,基于人工神经网络方法,利用被测数据中的正确信息,通过建模、函数逼近等处理,对削波数据进行恢复。实际处理分析表明,方法能够较好地恢复被削波信息。
The phenomenon of dele-data is a familiar problem in the engineering＇s testing. Based on the artificial neural network, using the right information in the dele-data and through modelling and function approaching, it can forecast regularity of dele-data and resume dele-data. This method is used to resume the vibrant dele-data of a plane. The result shows it is satisfactory.
出处
《噪声与振动控制》
CSCD
北大核心
2007年第6期62-64,共3页
Noise and Vibration Control
