|
Archivo Abierto Institucional de la Universidad Carlos III de Madrid >
Investigación >
Departamentos >
Departamento de Informática >
Grupo de Computación Evolutiva y Redes Neuronales (EVANNAI) >
DI - GCERN - Comunicaciones en Congresos y otros eventos >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10016/4522
|
| Title: | Generative capacities of cellular automata codification for evolution of NN codification |
| Author(s): | Gutiérrez, Germán
Galván, Inés M.
Sanchis, Araceli
Molina, José M. |
| Publisher: | Springer |
| Issued date: | 2002 |
| Citation: | Conference on Artificial Neural Networks. ICANN 2002, España, p. 314-319 |
| URI: | http://hdl.handle.net/10016/4522 |
| ISBN: | 978-3-540-44074-1 |
| ISSN: | 0302-9743 (Print)
1611-3349 (Online) |
| DOI: | http://dx.doi.org/10.1007/3-540-46084-5_52 |
| Description: | Proceeding of: International Conference on Artificial Neural Networks. ICANN 2002, Madrid, Spain, August 28-30, 2002 |
| Abstract: | Automatic methods for designing artificial neural nets are desired to avoid the laborious and erratically human expert’s job. Evolutionary computation has been used as a search technique to find appropriate NN architectures. Direct and indirect encoding methods are used to codify the net architecture into the chromosome. A reformulation of an indirect encoding method, based on two bi-dimensional cellular automata, and its generative capacity are presented. |
| Review: | PeerReviewed |
| Serie / Nº.: | Lecture Notes in Computer Science ; 2415 |
| Publisher version: | http://dx.doi.org/10.1007/3-540-46084-5_52 |
| Keywords: | Artificial neural networks
NN codification |
| Rights: | © Springer |
| Appears in Collections: | DI - GCERN - Capítulos de Monografías
DI - GCERN - Comunicaciones en Congresos y otros eventos
|
Items in E-Archivo are protected by copyright, with all rights reserved, unless otherwise indicated.
|
