Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Multi-disciplinary Studies | en_US |
| dc.creator | Lam, Yik-oi | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/1650 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | - |
| dc.rights | All rights reserved | en_US |
| dc.title | Application of neural network in surfactant analysis via infrared spectroscopy method | en_US |
| dcterms.abstract | The possibility to implement a backpropagation neural network for surfactant analysis via infrared spectra is studied in this dissertation. It was found that the network is applicable to identify the surfactant class of an unknown compound via its infrared spectrum even if the unknown compound is a mixture. A number of implementation issues have been identified and evaluated. Recommendation for future implementation have also been made. The study indicates that a neural network approach to develop auto-interpretation system for surfactant analysis via infrared spectra is suitable for formulation chemists who have only limited computer and spectroscopy knowledge. | en_US |
| dcterms.extent | iii, 105 leaves : ill. ; 30 cm | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 1995 | en_US |
| dcterms.educationalLevel | All Master | en_US |
| dcterms.educationalLevel | M.Sc. | en_US |
| dcterms.LCSH | Surface active agents -- Analysis | en_US |
| dcterms.LCSH | Neural networks (Computer science) | en_US |
| dcterms.LCSH | Infrared spectroscopy | en_US |
| dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| b11835436.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 2.45 MB | Adobe PDF | View/Open |
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