The Game of Life Using Polynomial Discrete Time Cellular Neural Networks
| dc.contributor.author | E. Gómez-Ramı́rez | |
| dc.contributor.author | Giovanni E. Pazienza | |
| dc.coverage.spatial | Bolivia | |
| dc.date.accessioned | 2026-03-22T20:12:41Z | |
| dc.date.available | 2026-03-22T20:12:41Z | |
| dc.date.issued | 2007 | |
| dc.description | Citaciones: 4 | |
| dc.identifier.doi | 10.1007/978-3-540-72432-2_72 | |
| dc.identifier.uri | https://doi.org/10.1007/978-3-540-72432-2_72 | |
| dc.identifier.uri | https://andeanlibrary.org/handle/123456789/80646 | |
| dc.language.iso | en | |
| dc.publisher | Springer Nature | |
| dc.relation.ispartof | Advances in soft computing | |
| dc.source | Universidad La Salle | |
| dc.subject | Cellular neural network | |
| dc.subject | Artificial neural network | |
| dc.subject | Computer science | |
| dc.subject | Polynomial | |
| dc.subject | Representation (politics) | |
| dc.subject | Theoretical computer science | |
| dc.subject | Discrete time and continuous time | |
| dc.subject | Artificial intelligence | |
| dc.title | The Game of Life Using Polynomial Discrete Time Cellular Neural Networks | |
| dc.type | book-chapter |