Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/338642
Title: A Study on Fuzzy Evolutionary Algorithms for Biological Data mining
Researcher: Poongothai S
Guide(s): Dharuman C
Keywords: Mathematics
Physical Sciences
Statistics and Probability
University: SRM University
Completed Date: 2021
Abstract: This thesis deals with Fuzzy Evolutionary Algorithms which is the fast developing area in newlineMachine Learning and Artificial Intelligence. In this research work, the concepts of Fuzzy newlinetheory and Evolutionary Algorithms are combined, which is the recent area of interest among newlinethe researchers. In today s world, lots and lots of data are available for various real life newlineproblems where finding the relevant information from huge quantities become a challenge to newlinethe human society. This leads the way for Data Mining which plays an important role to extract newlinethe relevant information from vast amount of data newline
Pagination: 
URI: http://hdl.handle.net/10603/338642
Appears in Departments:Department of Mathematics

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certificate page.pdf134.47 kBAdobe PDFView/Open
chapter 1.pdf213.9 kBAdobe PDFView/Open
chapter 2.pdf2.76 MBAdobe PDFView/Open
chapter 3.pdf774.83 kBAdobe PDFView/Open
chapter 4.pdf3.2 MBAdobe PDFView/Open
chapter 5.pdf1.18 MBAdobe PDFView/Open
chapter 6.pdf115.55 kBAdobe PDFView/Open
curriculum vitae.pdf77.61 kBAdobe PDFView/Open
list of publications.pdf77.56 kBAdobe PDFView/Open
preliminary pages.pdf165.18 kBAdobe PDFView/Open
references.pdf123.64 kBAdobe PDFView/Open
title page.pdf135.32 kBAdobe PDFView/Open
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