Forecasting time series with a new architecture for polynomial artificial neural network
| dc.contributor.author | E. Gómez-Ramı́rez | |
| dc.contributor.author | K. Najim | |
| dc.contributor.author | Enso Ikonen | |
| dc.coverage.spatial | Bolivia | |
| dc.date.accessioned | 2026-03-22T14:43:37Z | |
| dc.date.available | 2026-03-22T14:43:37Z | |
| dc.date.issued | 2006 | |
| dc.description | Citaciones: 29 | |
| dc.identifier.doi | 10.1016/j.asoc.2006.01.008 | |
| dc.identifier.uri | https://doi.org/10.1016/j.asoc.2006.01.008 | |
| dc.identifier.uri | https://andeanlibrary.org/handle/123456789/48191 | |
| dc.language.iso | en | |
| dc.publisher | Elsevier BV | |
| dc.relation.ispartof | Applied Soft Computing | |
| dc.source | Universidad La Salle | |
| dc.subject | Artificial neural network | |
| dc.subject | Series (stratigraphy) | |
| dc.subject | Polynomial | |
| dc.subject | Computer science | |
| dc.subject | Chaotic | |
| dc.subject | Nonlinear system | |
| dc.subject | Genetic algorithm | |
| dc.subject | Time series | |
| dc.subject | Time complexity | |
| dc.subject | Algorithm | |
| dc.title | Forecasting time series with a new architecture for polynomial artificial neural network | |
| dc.type | article |