Chem. J. Chinese Universities ›› 2000, Vol. 21 ›› Issue (2): 193.

• Articles • Previous Articles     Next Articles

Using Elman Recurrent Neural Network Trained in Sections to Filter Noise of Chromatographic Spectrogram

CHEN Feng, HU Shang-Xu, YU Meng-Huai   

  1. Department of Chemical Engineering, Zhejiang University, Hangzhou 310027, China
  • Received:1999-03-09 Online:2000-02-24 Published:2000-02-24

Abstract: In this paper, the noise of chromatographic signal has been analyzed by fractal geometry, and the Elman neural network trained in sections has been used to filter noise. The proposed method has obvious advantages over other neural networks and median filter in filtering noise, and the precision of results are much higher.

Key words: Factal noise, Elman network, Chromatographic signal filter

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