Fuzzy c-means based support vector machines classifier for perfume recognition
作者： Engin Esme , Bekir Karlik
DOI: 10.1016/J.ASOC.2016.05.030
关键词:
摘要: Display Omitted Detection of perfumes by using machine learning algorithms.Fuzzy clustering c-mean: type-1 (FCM).Support vector machines (SVM).Soft computing techniques.Electronic (or artificial) nose. Identification more than three is very difficult for the human It also a problem to recognize patterns perfume odor with an electronic nose that has multiple sensors. For this reason, new hybrid classifier been presented identify type from closely similar data set 20 different odors perfumes. The structure technique combination unsupervised fuzzy c-mean (FCM) and supervised support (SVM). On other hand proposed soft was compared well-known algorithms. results show algorithm's accuracy 97.5% better others.
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