The method of amplitude frequency characteristics improvement is presented to realize ultra-low frequency vibration measurement based on functional link artificial neural network（FLANN） for magnet-electrical vibration velocity transducer.In this method

a dynamic compensation network can be set up according to measurement data of dynamic response of magnet-electrical vibration velocity transducer.The dynamic compensation network parameters are trained by FLANN.The principle and algorithms of weight values of FLANN are introduced and the dynamic compensating mathematics model is given for magnet-electrical vibration velocity transducer.The results show that the proposed method has high precision

strong robustness

on-line correction ability practical value in engineering measurement field.