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28 July 2000 Self-organized network with a supervised training and its comparison with FALVQ in artificial odor recognition system
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Abstract
Artificial odor recognition system is developed in order to mimic the human sensory test in cosmetics, parfum and beverage industries. The developed system however, lacks of ability to recognize the unknown type of odor. To improve the system's capability, a hybrid neural system with a supervised learning paradigm is developed and used as a pattern classifier. In this paper, the performance of the hybrid neural system is investigated, together with that of FALVQ neural system.
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Benyamin Kusumoputro, Linda Rostiviani, and Ari Saptawijaya "Self-organized network with a supervised training and its comparison with FALVQ in artificial odor recognition system", Proc. SPIE 4036, Chemical and Biological Sensing, (28 July 2000); https://doi.org/10.1117/12.394070
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