TY - GEN
T1 - An initialization scheme of fuzzy-neuro LVQ for discriminating three-mixtures odor
AU - Putro, Benyamin Kusumo
AU - Rustam, Zuherman
PY - 2008/12/1
Y1 - 2008/12/1
N2 - There are still major difficulties in the usage of fuzzy neural networks based on LVQ (FNLVQ) algorithms, i.e choosing the initialization of the fuzzy-reference vectors. The initialization step is important due to different selections of the initial reference vectors may potentially lead to different partition for different classes, which hampered the superiority of the algorithm. In this paper, we proposed a novel initialization method, by transforming all data from the origin problem space into its eigen space prior the usage of FNLVQ. Experiments are conducted in an artificial odor recognition system and it shows that the performance of FNLVQ in eigen space has higher recognition rate compare with that of in aroma space, especially for 18 class of three-mixture odors problem.
AB - There are still major difficulties in the usage of fuzzy neural networks based on LVQ (FNLVQ) algorithms, i.e choosing the initialization of the fuzzy-reference vectors. The initialization step is important due to different selections of the initial reference vectors may potentially lead to different partition for different classes, which hampered the superiority of the algorithm. In this paper, we proposed a novel initialization method, by transforming all data from the origin problem space into its eigen space prior the usage of FNLVQ. Experiments are conducted in an artificial odor recognition system and it shows that the performance of FNLVQ in eigen space has higher recognition rate compare with that of in aroma space, especially for 18 class of three-mixture odors problem.
KW - Artificial odor recognition system
KW - Eigenspace
KW - Fuzzy-LVQ
KW - Quartz micro balance
UR - http://www.scopus.com/inward/record.url?scp=62949237531&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:62949237531
SN - 9780889867178
T3 - Proceedings of the 5th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2008
SP - 232
EP - 237
BT - Proceedings of the 5th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2008
T2 - 5th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2008
Y2 - 13 February 2008 through 15 February 2008
ER -