Genome-enabled prediction using probabilistic neural network classifiers

BACKGROUND: Multi-layer perceptron (MLP) and radial basis function neural networks (RBFNN) have been shown to be effective in genome-enabled prediction. Here, we evaluated and compared the classification performance of an MLP classifier versus that of a probabilistic neural network (PNN), to predict...

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Detalles Bibliográficos
Autores principales: González-Camacho, Juan Manuel, Crossa, José, Pérez-Rodríguez, Paulino, Ornella, Leonardo, Gianola, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4784384/
https://www.ncbi.nlm.nih.gov/pubmed/26956885
http://dx.doi.org/10.1186/s12864-016-2553-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4784384/
https://www.ncbi.nlm.nih.gov/pubmed/26956885
http://dx.doi.org/10.1186/s12864-016-2553-1

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