TY - GEN
T1 - Discrimination of two-mixture fragrances odor using artificial odor recognition system with ensemble backpropagation neural networks
AU - Putro, Benyamin Kusumo
AU - Lina,
PY - 2013/3/12
Y1 - 2013/3/12
N2 - The human sensory test is often used to obtain the sensory quantities of odors, however, the fluctuation of results due to the experts condition can cause discrepancies among panelists. We have developed an artificial odor recognition system using a quartz resonator sensor and backpropagation neural networks as the pattern recognition system in order to eliminate the disadvantage of human panelist system. The backpropagation neural networks shows high recognition rate for single component odor, however, become very low when it is used to discriminate mixture fragrances odor. In this paper we have proposed an ensemble of backpropagation neural networks as the pattern recognition system, and by using the ensemble learning mechanisms, the recognition rate is significantly increased, especially when using ensemble neural networks with five components.
AB - The human sensory test is often used to obtain the sensory quantities of odors, however, the fluctuation of results due to the experts condition can cause discrepancies among panelists. We have developed an artificial odor recognition system using a quartz resonator sensor and backpropagation neural networks as the pattern recognition system in order to eliminate the disadvantage of human panelist system. The backpropagation neural networks shows high recognition rate for single component odor, however, become very low when it is used to discriminate mixture fragrances odor. In this paper we have proposed an ensemble of backpropagation neural networks as the pattern recognition system, and by using the ensemble learning mechanisms, the recognition rate is significantly increased, especially when using ensemble neural networks with five components.
KW - Artificial odor recognition system
KW - Backpropagation neural networks
KW - Ensemble backpropagation
KW - Mixture fragrances odors
KW - Negative correlation learning algorithm
UR - http://www.scopus.com/inward/record.url?scp=84874686331&partnerID=8YFLogxK
U2 - 10.4028/www.scientific.net/AMM.303-306.1514
DO - 10.4028/www.scientific.net/AMM.303-306.1514
M3 - Conference contribution
AN - SCOPUS:84874686331
SN - 9783037856529
T3 - Applied Mechanics and Materials
SP - 1514
EP - 1518
BT - Sensors, Measurement and Intelligent Materials
T2 - 2012 International Conference on Sensors, Measurement and Intelligent Materials, ICSMIM 2012
Y2 - 26 December 2012 through 27 December 2012
ER -