Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/58511
Title: Microarray data classification using neuro-fuzzy classifier with firefly algorithm
Authors: Panudech Jinthanasatian
Sansanee Auephanwiriyakul
Nipon Theera-Umpon
Keywords: Computer Science
Mathematics
Issue Date: 2-Feb-2018
Abstract: © 2017 IEEE. Neuro-fuzzy is one of the popular tools used in many applications including microarray classification. In this paper, we introduce a neuro-fuzzy with firefly algorithm with its application to microarray classification. Our neuro-fuzzy is able to select good feature sets and generate rule sets as classifier. We compare our results on seven public data sets, i.e., Lung cancer, Ovarian cancer, Prostate cancer, Leukemia (ALL/AML), Breast cancer, Colon cancer, and Diffuse large B-cell lymphoma (DLBCL), with the results from the existing algorithms. We found that our algorithm can provide comparable results with smaller numbers of selected features. However, our algorithm can provide more understandable rule sets to human than other existing algorithms.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85046136496&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/58511
Appears in Collections:CMUL: Journal Articles

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