Pattern Recognition of mtDNA with Associative Models

In this paper we applied an associative memory for the pattern recognition of mtDNA that can be useful to identify bodies and human remains. In particular, we used both morphological hetroassociative memories: max and min. We process the problem of pattern recognition as a classification task. Our p...

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Bibliographic Details
Published inMATEC web of conferences Vol. 68; p. 18002
Main Authors Acevedo, María Elena, Acevedo, Marco Antonio, Felipe, Federico, Aquino, David
Format Journal Article Conference Proceeding
LanguageEnglish
Published Les Ulis EDP Sciences 01.01.2016
Subjects
Associative memory
Computer simulation
Mitochondrial DNA
Pattern recognition
Recall
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ISSN2261-236X
2274-7214
2261-236X
DOI10.1051/matecconf/20166818002

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Summary:In this paper we applied an associative memory for the pattern recognition of mtDNA that can be useful to identify bodies and human remains. In particular, we used both morphological hetroassociative memories: max and min. We process the problem of pattern recognition as a classification task. Our proposal showed a correct recall, we obtained the 100% of recalling of all the learned patterns. We simulated a corrupted sample of mtDNA by adding noise of two types: additive and subtractive. The memory showed a correct recall when we applied less or equal than 55% of both types of noise.
Bibliography:ObjectType-Conference Proceeding-1
SourceType-Conference Papers & Proceedings-1
content type line 21
ISSN:2261-236X
2274-7214
2261-236X
DOI:10.1051/matecconf/20166818002