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 language | English |
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Pages (from-to) | 553 |
Number of pages | 1 |
Journal | Chinese Journal of Analytical Chemistry |
Volume | 28 |
Issue number | 5 |
Publication status | Published - 2000 |
Keywords
- Back propagation algorithm
- Chinese herbal medicine
- Feed forward neural network
- Principal component analysis
- Pyrolysis-gas chromatography