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| Paper IPM / P / 7116 |
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| Abstract: | |||||||
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Hydroxyl functional group identification has become possible by
using near-infrared (NIR) spectroscopy and artificial neural
network (ANN), without the use of reagents. In this study, NIR
spectra of six compounds was fed to back propagation three-layer
neural network as a training set and then, spectra of 33 chemicals
were tested by ANN. The results indicated that 97% correct
identification was obtained by this system. With regard to training time and the error of prediction, a systematic approach was used to determine the number of hidden nodes of ANN. Activation of output nodes and number of carbons in a series of aliphatic alcohols are highly correlated. Thus, identification of alcohols without the use of chemical reagents is also possible by this treatment. The information content of this system (NIR-ANN) for identification of hydroxyl functional group and a series of aliphatic alcohols, by the use of Shannon's equation was calculated. Download TeX format |
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