Título: A Parallel PCA Neural Network Approach for Feature Extraction
Autores: Oliveira, Patrícia R.; Digiampietri, Luciano A.; Honda, Willian Y.; Pereira, Marcone C.
Resumo: Principal Component Analysis (PCA) is a well known statistical method that has successfully been applied for reducing data dimensionality. Focusing on a neural network which approximates the results obtained by classical PCA, the main contribution of this work consists in introducing a parallel modeling for such network. A comparative study shows that the proposal presents promising results when a multi-core computer is available.
Palavras-chave: Principal component analysis; feature extraction; paralell neural network
Código DOI: 10.21528/CBIC2011-39.6
Artigo em pdf: st_39.6.pdf
Arquivo BibTex: st_39.6.bib