Idioma:

Pattern Recognition of mtDNA with Associative Models

Acevedo, María Elena ; Acevedo, Marco Antonio ; Felipe, Federico ; Aquino, David Kocisko, M. ; Ulkhaq, M.M. ; Goyal, R.K. ; Yusmawiza, W.A. ; Arumugham, A.J. ; Qiu, X.

MATEC Web of Conferences, 2016, Vol.68, p.18002 [Periódico revisado por pares]

Texto completo disponível

Citações Citado por

Título:
Pattern Recognition of mtDNA with Associative Models
Autor: Acevedo, María Elena ; Acevedo, Marco Antonio ; Felipe, Federico ; Aquino, David
Kocisko, M. ; Ulkhaq, M.M. ; Goyal, R.K. ; Yusmawiza, W.A. ; Arumugham, A.J. ; Qiu, X.
Assuntos: Associative memory ; Computer simulation ; Mitochondrial DNA ; Pattern recognition ; Recall
É parte de: MATEC Web of Conferences, 2016, Vol.68, p.18002
Descrição: 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.
Editor: Les Ulis: EDP Sciences
Idioma: Inglês

Voltar para lista de resultados