拟动力试验中设备误差修正的人工神经网络方法

RECTIFICATION OF EQUIPMENT ERROR FOR PSEUDO-DYNAMIC TEST BY ARTIFICIAL NEURAL NETWORK METHOD

结构拟动力试验中,误差累积是影响试验成功的主要因素之一,本文针对其中的设备误差采用人工神经网络的方法在试验的每一步进行检出修正,取得效果。

Error growth is one of the influential factors in the procedure of pseudo-dynamic test of structures. An artificial neural network method to reduce the equipment error in each testing step is proposed in the paper. The test results show the effectiveness of the method presented.