Resumen
In this paper, a comparative study of the advantages and disadvantages of Principal Component Analysis (PCA) and Wavelet Transform (WT) based methods combined with a Artificial Neural Network (ANN) classifier for the lightning stroke classification is presented. Results show that both techniques present an acceptable performance. However, PCA technique presents some advantages with respect to the Wavelet Transform technique. © 2013 IEEE.
Idioma original | Inglés |
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Páginas | 122-127 |
Número de páginas | 6 |
DOI | |
Estado | Publicada - 1 ene. 2013 |
Publicado de forma externa | Sí |
Evento | 2013 International Symposium on Lightning Protection - Belo Horizonte, Brasil Duración: 7 oct. 2013 → 11 oct. 2013 |
Conferencia
Conferencia | 2013 International Symposium on Lightning Protection |
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Título abreviado | XII SIPDA 2013 |
País/Territorio | Brasil |
Ciudad | Belo Horizonte |
Período | 7/10/13 → 11/10/13 |