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Artificial Neural Network based String Matching Algorithms for Species Classification – A Preliminary Study and Experimental Results

by Sathish Kumar S, N. Duraipandian
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 52 - Number 14
Year of Publication: 2012
Authors: Sathish Kumar S, N. Duraipandian
10.5120/8270-1832

Sathish Kumar S, N. Duraipandian . Artificial Neural Network based String Matching Algorithms for Species Classification – A Preliminary Study and Experimental Results. International Journal of Computer Applications. 52, 14 ( August 2012), 21-29. DOI=10.5120/8270-1832

@article{ 10.5120/8270-1832,
author = { Sathish Kumar S, N. Duraipandian },
title = { Artificial Neural Network based String Matching Algorithms for Species Classification – A Preliminary Study and Experimental Results },
journal = { International Journal of Computer Applications },
issue_date = { August 2012 },
volume = { 52 },
number = { 14 },
month = { August },
year = { 2012 },
issn = { 0975-8887 },
pages = { 21-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume52/number14/8270-1832/ },
doi = { 10.5120/8270-1832 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:52:14.092767+05:30
%A Sathish Kumar S
%A N. Duraipandian
%T Artificial Neural Network based String Matching Algorithms for Species Classification – A Preliminary Study and Experimental Results
%J International Journal of Computer Applications
%@ 0975-8887
%V 52
%N 14
%P 21-29
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The preliminary research in the area of applications of neural networks and pattern matching algorithms in species classification is presented. Artificial neural networks for classification and different pattern matching algorithms for matching the given DNA patterns or strings with the existing DNA sequences available in the databases are specifically studied. A set of local searching algorithms were experimented for different test string lengths and their time complexity is tabulated. Conclusions and future directions are also presented.

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Index Terms

Computer Science
Information Sciences

Keywords

Alignment ANN DNA sequencing Species classification String matching

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