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

Küçük Resim Yok

Tarih

2016

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Elsevier Science Bv

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

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.

Açıklama

Anahtar Kelimeler

Classifier, Soft computing, Perfume recognition, Fuzzy c-means, Support vector machines, Artificial neural network

Kaynak

Applied Soft Computing

WoS Q Değeri

Q1

Scopus Q Değeri

Q1

Cilt

46

Sayı

Künye