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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2016-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | http://dx.doi.org/10.1051/matecconf/20166818002 |
| _version_ | 1818622396946448384 |
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| author | Acevedo María Elena Acevedo Marco Antonio Felipe Federico Aquino David |
| author_facet | Acevedo María Elena Acevedo Marco Antonio Felipe Federico Aquino David |
| author_sort | Acevedo María Elena |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-16T18:24:31Z |
| format | Article |
| id | doaj.art-9af2412b00cd48bb886fd1c5dcd7704b |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-12-16T18:24:31Z |
| publishDate | 2016-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-9af2412b00cd48bb886fd1c5dcd7704b2022-12-21T22:21:28ZengEDP SciencesMATEC Web of Conferences2261-236X2016-01-01681800210.1051/matecconf/20166818002matecconf_iciea2016_18002Pattern Recognition of mtDNA with Associative ModelsAcevedo María ElenaAcevedo Marco AntonioFelipe FedericoAquino DavidIn 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.http://dx.doi.org/10.1051/matecconf/20166818002 |
| spellingShingle | Acevedo María Elena Acevedo Marco Antonio Felipe Federico Aquino David Pattern Recognition of mtDNA with Associative Models MATEC Web of Conferences |
| title | Pattern Recognition of mtDNA with Associative Models |
| title_full | Pattern Recognition of mtDNA with Associative Models |
| title_fullStr | Pattern Recognition of mtDNA with Associative Models |
| title_full_unstemmed | Pattern Recognition of mtDNA with Associative Models |
| title_short | Pattern Recognition of mtDNA with Associative Models |
| title_sort | pattern recognition of mtdna with associative models |
| url | http://dx.doi.org/10.1051/matecconf/20166818002 |
| work_keys_str_mv | AT acevedomariaelena patternrecognitionofmtdnawithassociativemodels AT acevedomarcoantonio patternrecognitionofmtdnawithassociativemodels AT felipefederico patternrecognitionofmtdnawithassociativemodels AT aquinodavid patternrecognitionofmtdnawithassociativemodels |