Using Elman recurrent neural network trained in sections to filter noise of chromatographic spectrogram

In this paper, the noise of chromatographic signal has been analyzed by fra ctal geometry, and the Elman neural network trained in sections has been us ed to filter noise, The proposed method has obvious advantages over other n eural networks and median filter in filtering noise, and the precision of r esults are much higher.