Szczegóły publikacji
Opis bibliograficzny
Agent-based neuro-evolution algorithm / Rafał DREŻEWSKI, Krzysztof CETNAROWICZ, Grzegorz Dziuban, Szymon Martynuska, Aleksander BYRSKI // W: Agent and multi-agent systems: technologies and applications : 9th KES international conference, KES-AMSTA 2015 : Sorrento, Italy, June 17–19, 2015 : proceedings / eds Gordan Jezic, Robert J. Howlett, Lakhmi C. Jain. — Cham [etc.] : Springer International Publishing, 2015. — (Smart Innovation, Systems and Technologies ; ISSN 2190-3018 ; vol. 38). — ISBN: 978-3-319-19727-2; e-ISBN: 978-3-319-19728-9. — S. 95–108. — Bibliogr.
Autorzy (5)
- AGHDreżewski Rafał
- AGHCetnarowicz Krzysztof
- Dziuban Grzegorz
- Martynuska Szymon
- AGHByrski Aleksander
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 90288 |
|---|---|
| Data dodania do BaDAP | 2015-07-15 |
| DOI | 10.1007/978-3-319-19728-9_8 |
| Rok publikacji | 2015 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Konferencja | 9th KES International Conference on Agent and Multi-Agent Systems -Technologies and Applications |
| Czasopismo/seria | Smart Innovation, Systems and Technologies |
Abstract
Neural networks are nowadays widely used across many different areas, both enterprise and science related. Regardless of the field in which they are applied, optimization of their structure is usually needed. During the last decades many methods for this procedure have been proposed, among them techniques based on evolutionary algorithms. In this paper a new algorithm for optimization of neural networks architecture based on multi-agent evolutionary approach is proposed. Also results of preliminary experiments aimed at comparing the proposed technique to already existing ones are presented.