Fuzzy c-means based support vector machines classifier for perfume recognition

被引：27
作者：
Esme, Engin [1 ]
Karlik, Bekir [2 ]
机构：
[1] Selcuk Univ, Vocat Sch, Kulu Konya, Turkey
[2] Beykent Univ, Fac Engn & Architecture, Istanbul, Turkey
来源：
APPLIED SOFT COMPUTING | 2016年 / 46卷
关键词：
Classifier; Soft computing; Perfume recognition; Fuzzy c-means; Support vector machines; Artificial neural network; ODOR DISCRIMINATION; ELECTRONIC NOSE; NEURAL-NETWORKS; ALGORITHM; KAMINA;
D O I：
10.1016/j.asoc.2016.05.030
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Identification of more than three perfumes is very difficult for the human nose. It is also a problem to recognize patterns of perfume odor with an electronic nose that has multiple sensors. For this reason, a new hybrid classifier has been presented to identify type of perfume from a closely similar data set of 20 different odors of perfumes. The structure of this hybrid technique is the combination of unsupervised fuzzy clustering c-mean (FCM) and supervised support vector machine (SVM). On the other hand this proposed soft computing technique was compared with the other well-known learning algorithms. The results show that the proposed hybrid algorithm's accuracy is 97.5% better than the others. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码：452 / 458
页数：7
相关论文
共 26 条
[1]   Air Quality Monitoring and Fire Detection With The Karlsruhe Electronic Micronose KAMINA [J].
Arnold, Christina ;
Harms, Michael ;
Goschnick, Joachim .
IEEE SENSORS JOURNAL, 2002, 2 (03) :179-188
[2]   1ST-ORDER AND 2ND-ORDER METHODS FOR LEARNING - BETWEEN STEEPEST DESCENT AND NEWTON METHOD [J].
BATTITI, R .
NEURAL COMPUTATION, 1992, 4 (02) :141-166
[3]  
Bayraktar C., 2010, NAT C IEEE EXPL ELEC, P603
[4]   FCM - THE FUZZY C-MEANS CLUSTERING-ALGORITHM [J].
BEZDEK, JC ;
EHRLICH, R ;
FULL, W .
COMPUTERS & GEOSCIENCES, 1984, 10 (2-3) :191-203
[5]   Neural network based electronic nose for classification of tea aroma [J].
Borah S. ;
Hines E.L. ;
Leeson M.S. ;
Iliescu D.D. ;
Bhuyan M. ;
Gardner J.W. .
Sensing and Instrumentation for Food Quality and Safety, 2008, 2 (1) :7-14
[6]  
Damsinan T., 2007, IEEE 15 P SIGN PROC, P1
[7]   Water pollution recognition with the electronic nose KAMINA [J].
Goschnick, J ;
Koronczi, I ;
Frietsch, M ;
Kiselev, I .
SENSORS AND ACTUATORS B-CHEMICAL, 2005, 106 (01) :182-186
[8]   A comparison of methods for multiclass support vector machines [J].
Hsu, CW ;
Lin, CJ .
IEEE TRANSACTIONS ON NEURAL NETWORKS, 2002, 13 (02) :415-425
[9]   Artificial odor discrimination system using multiple quartz resonator sensors and various neural networks for recognizing fragrance mixtures [J].
Jatmiko, W ;
Fukuda, T ;
Arai, F ;
Kusumoputro, B .
IEEE SENSORS JOURNAL, 2006, 6 (01) :223-233
[10]  
Jian W., 2012, P 14 INT C COMP MOD, P459
123