TY - GEN
T1 - Improvement of artificial odor discrimination system using fuzzy-LVQ neural network
AU - Putro, Benyamin Kusumo
AU - Widyanto, Muhammad Rahmat
AU - Fanany, Mohamad Ivan
AU - Budiarto, H.
N1 - Publisher Copyright:
© 1999 IEEE.
PY - 1999
Y1 - 1999
N2 - An artificial odor recognition system is developed in order to mimic the human sensory test in cosmetics, perfume and beverage industries. A backpropagation neural network is used as the pattern recognition system and shows high recognition capability. However, the system only works efficiently when it is used to discriminate a limited number of odors. The unlearned odor will be classified as one of the already learned category. To improve the system's capability, a fuzzy learning vector quantization neural network is developed and utilized in experiments on four different ethanol concentrations, and three different kinds of fragrance odor from Martha Tilaar Cosmetics. The results shows that the FLVQ has a comparable ability for recognizing the already known category of odors. However, the FLVQ algorithm can cluster the unknown odor in a different new class of odor.
AB - An artificial odor recognition system is developed in order to mimic the human sensory test in cosmetics, perfume and beverage industries. A backpropagation neural network is used as the pattern recognition system and shows high recognition capability. However, the system only works efficiently when it is used to discriminate a limited number of odors. The unlearned odor will be classified as one of the already learned category. To improve the system's capability, a fuzzy learning vector quantization neural network is developed and utilized in experiments on four different ethanol concentrations, and three different kinds of fragrance odor from Martha Tilaar Cosmetics. The results shows that the FLVQ has a comparable ability for recognizing the already known category of odors. However, the FLVQ algorithm can cluster the unknown odor in a different new class of odor.
UR - http://www.scopus.com/inward/record.url?scp=84875098248&partnerID=8YFLogxK
U2 - 10.1109/ICCIMA.1999.798577
DO - 10.1109/ICCIMA.1999.798577
M3 - Conference contribution
AN - SCOPUS:84875098248
T3 - Proceedings - 3rd International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 1999
SP - 474
EP - 478
BT - Proceedings - 3rd International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 1999
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 1999
Y2 - 23 September 1999 through 26 September 1999
ER -