<p> In this thesis, hardware and software was developed
whereby the feasability of using pattern recognition
techniques for gas chromatography could be quantitively
explored. Processing methods were developed to overcome ~he
distortion inherent in GC spectra. The reproducibility of
peak retention times and areas was investigated from the
processed spectra. Upon completion of this study, it was
possible to amass a large quantity of experimental data for
bacterial strains. With such data the exact form of the
pattern recognition algorithm could be defined. A possible
pattern recognition method is discussed. </p> / Thesis / Master of Engineering (MEngr)
| Identifer | oai:union.ndltd.org:mcmaster.ca/oai:macsphere.mcmaster.ca:11375/19661 |
| Date | 12 1900 |
| Creators | Rebane, Eddie |
| Contributors | Kennett, T. J., Engineering Physics |
| Source Sets | McMaster University |
| Language | English |
| Detected Language | English |
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