Identification of Chinese herbal medicine using artificial neural network in pyrolysis-gas chromatography

Lina Geng*, Aiqin Luo, Ruonong Fu, Jing Li

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

The potential utility of feed forward artificial neural network using the back propagation algorithm (BP-ANN), in interpreting pyrogram data from traditional Chinese medicine was discussed. We laid stress on how to extract and encode the most meaningful information from pyrogram to use as the input matrix in neural network,such as data representation and preprocessing. After network topology analysis, several parameters of neural network were optimized. The study revealed, that after training, utilizing principal component analysis (PCA) in conjunction with BP-ANN was robust in respect to small variances presented in data, such as noise and distortion.

Original languageEnglish
Pages (from-to)553
Number of pages1
JournalChinese Journal of Analytical Chemistry
Volume28
Issue number5
Publication statusPublished - 2000

Keywords

  • Back propagation algorithm
  • Chinese herbal medicine
  • Feed forward neural network
  • Principal component analysis
  • Pyrolysis-gas chromatography

Fingerprint

Dive into the research topics of 'Identification of Chinese herbal medicine using artificial neural network in pyrolysis-gas chromatography'. Together they form a unique fingerprint.

Cite this