|Title:||Application of neural network in surfactant analysis via infrared spectroscopy method|
|Subject:||Surface active agents -- Analysis|
Neural networks (Computer science)
Hong Kong Polytechnic University -- Dissertations
|Pages:||iii, 105 leaves : ill. ; 30 cm|
|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.|
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