info presentación miembros líneas investigación publicaciones investigación tesis docencia
[Articulos Revista] [Articulos Congreso] [Reports] [Libros] [Capitulos Libro] [Todo] [Resumen]

Autores
Categoria WoS
Area
Titulo: A Comparison Between ANN Generation and Training Methods and Their Development by Means of Graph Evolution: 2 Sample Problems
Tipo: congreso nacional
Congreso: 9th International Work-Conference on Artificial Neural Networks (IWANN 2007)
Fecha: 20-22/6/2007
Lugar celebracion: Heidelberg, Berlin
Revista: Lecture Notes in Computer Science. Computational and Ambient Intelligence
SCIMago SJR:
Volumen: LNCS 4507
Paginas: 94-101
ISSN: 0302-9743
ISBN: 3-540-73006-0
Editorial: Springer-Verlag

Abstract:

This paper presents a study in which a new technique for automatically developing Artificial Neural Networks (ANNs) by means of Evolutionary Computation (EC) tools is compared with the traditional evolutionary techniques used for ANN development. The technique used here is based on network encoding on graphs and also their performance and evolution. For this comparison, 2 different real-world problems have been solved using various tools, and the results are presented here. According to them, the results obtained with this technique can beat those obtained with other ANN development tools.
SABIA
    .: SABIA :.  Sistemas Adaptativos y Bioinspirados en Inteligencia Artificial