Application of neural networks to the analysis of pyrolysis mass spectra
R G Kenyon1, E V Ferguson, A C Ward
1Department of Microbiology, Medical School, Newcastle-upon-Tyne, UK.
Abstract:
Pyrolysis mass spectrometry is a data rich analysis technique now becoming widely applied in microbiology. Data analysis is a key step in the exploitation of the technique and the application of neural network analysis to pyrolysis mass spectrometric data offers new opportunities for classification, identification and inter-strain comparison of microorganisms in biotechnology and clinical microbiology. The use of a supervised neural network for the identification of members of a streptomycete species-group is described.
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