Acceleration Output Prediction of Buildings Using a Polynomial Artificial Neural Network
| dc.contributor.author | F.J. Rivero-Angeles | |
| dc.contributor.author | E. Gómez-Ramı́rez | |
| dc.coverage.spatial | Bolivia | |
| dc.date.accessioned | 2026-03-22T20:23:26Z | |
| dc.date.available | 2026-03-22T20:23:26Z | |
| dc.date.issued | 2007 | |
| dc.description | Citaciones: 1 | |
| dc.identifier.doi | 10.1007/978-3-540-37421-3_22 | |
| dc.identifier.uri | https://doi.org/10.1007/978-3-540-37421-3_22 | |
| dc.identifier.uri | https://andeanlibrary.org/handle/123456789/81709 | |
| dc.language.iso | en | |
| dc.publisher | Springer Nature | |
| dc.relation.ispartof | Studies in fuzziness and soft computing | |
| dc.source | Universidad La Salle | |
| dc.subject | Acceleration | |
| dc.subject | Artificial neural network | |
| dc.subject | Nonlinear system | |
| dc.subject | Polynomial | |
| dc.subject | Structural engineering | |
| dc.subject | Computer science | |
| dc.subject | Process (computing) | |
| dc.subject | Engineering | |
| dc.title | Acceleration Output Prediction of Buildings Using a Polynomial Artificial Neural Network | |
| dc.type | book-chapter |