| dc.creator | Jimenez-Martinez M., Alfaro-Ponce M. | |
| dc.date | 2020-12-11T06:46:44Z | |
| dc.date | 2020-12-11T06:46:44Z | |
| dc.date | 2019 | |
| dc.date.accessioned | 2023-07-21T20:22:15Z | |
| dc.date.available | 2023-07-21T20:22:15Z | |
| dc.identifier | 2-s2.0-85062325761 | |
| dc.identifier | http://repositorio.udlap.mx/xmlui/handle/123456789/13618 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/7745741 | |
| dc.description | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062325761&doi=10.1016%2fj.ijfatigue.2019.02.043&partnerID=40&md5=3c8e0991d912a75468fc3900c595cc42 | |
| dc.source | International Journal of Fatigue | |
| dc.title | Fatigue damage effect approach by artificial neural network | |
| dc.type | Article | |
