| Revista: | Polibits |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000382890 |
| ISSN: | 1870-9044 |
| Autors: | Zurek, Eduardo1 Gamarra, Margarita R2 Escorcia, José R2 Gutiérrez, Carlos3 Bayona, Henry3 Pérez, Roxana P3 García, Xavier3 |
| Institucions: | 1Universidad del Norte, Departamento de Ingeniería de Sistemas, Barranquilla, Atlántico. Colombia 2Universidad Autónoma del Caribe, Departamento de Ingeniería Electrónica y de Telecomunicaciones, Barranquilla, Atlántico. Colombia 3Escuela Naval de Suboficiales A.R.C., Barranquilla, Atlántico. Colombia |
| Any: | 2014 |
| Període: | Jul-Dic |
| Número: | 50 |
| Paginació: | 63-73 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Aplicado, descriptivo |
| Resumen en inglés | This paper presents an implementation of Artificial Neural Networks (ANN) for acoustic fingerprints recognition, applied to the identification of marine vessels. In many cases, the vessel recognition process from an audible signal is performed by human operators, which could lead to failures in the identification process. Before entering the ANN classification process, the signal is filtered and its spectral characteristics are extracted. A comparison of the classification process between three types of neural networks is presented |
| Disciplines | Ciencias de la computación |
| Paraules clau: | Redes, Reconocimiento acústico, Huellas de audio, Retropropagación anticipativa, Redes neuronales artificiales |
| Keyword: | Computer science, Networks, Acoustic recognition, Acoustic fingerprints, Feedforward backpropagation, Artificial neural networks |
| Text complet: | Texto completo (Ver HTML) |
