A Grey Wolf Optimizer for Modular Granular Neural Networks for Human Recognition

A grey wolf optimizer for modular neural network (MNN) with a granular approach is proposed. The proposed method performs optimal granulation of data and design of modular neural networks architectures to perform human recognition, and to prove its effectiveness benchmark databases of ear, iris, and...

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Detalles Bibliográficos
Autores principales: Sánchez, Daniela, Melin, Patricia, Castillo, Oscar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5574275/
https://www.ncbi.nlm.nih.gov/pubmed/28894461
http://dx.doi.org/10.1155/2017/4180510

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5574275/
https://www.ncbi.nlm.nih.gov/pubmed/28894461
http://dx.doi.org/10.1155/2017/4180510

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