®®®® SIIA Público

Título del libro: Ieee International Symposium On Industrial Electronics
Título del capítulo: Evaluation of impacting signals and neural networks for objects detection

Autores UNAM:
ERIK MOLINO MINERO RE;
Autores externos:

Idioma:
Inglés
Año de publicación:
2008
Palabras clave:

Alumina; Industrial electronics; Impact sources; Objects detections; Neural networks


Resumen:

This paper presents a study that evaluates different neural networks configurations and different impact sources, for detecting materials using impacts as the source of information. This work deals as well with objects that have similar responses when impacted, as is the case of pieces made from steel and aluminum. © 2008 IEEE.


Entidades citadas de la UNAM: