%0 Journal Article %1 journals/eswa/KhayyamSJNKM23 %A Khayyam, Hamid %A Shahkhosravi, Naeim Akbari %A Jamali, Ali %A Naebe, Minoo %A Kafieh, Rahele %A Milani, Abbas S. %D 2023 %J Expert Syst. Appl. %K dblp %P 119425 %T GMDH-Kalman Filter prediction of high-cycle fatigue life of drilled industrial composites: A hybrid machine learning with limited data. %U http://dblp.uni-trier.de/db/journals/eswa/eswa216.html#KhayyamSJNKM23 %V 216

@article{journals/eswa/KhayyamSJNKM23, added-at = {2023-03-21T00:00:00.000+0100}, author = {Khayyam, Hamid and Shahkhosravi, Naeim Akbari and Jamali, Ali and Naebe, Minoo and Kafieh, Rahele and Milani, Abbas S.}, biburl = {https://www.bibsonomy.org/bibtex/2028abc4524dd357ecacbfd2166710b3e/dblp}, ee = {https://doi.org/10.1016/j.eswa.2022.119425}, interhash = {18bd2af14849b52a1acecc1ff68e27d3}, intrahash = {028abc4524dd357ecacbfd2166710b3e}, journal = {Expert Syst. Appl.}, keywords = {dblp}, month = {April}, pages = 119425, timestamp = {2024-04-08T10:12:26.000+0200}, title = {GMDH-Kalman Filter prediction of high-cycle fatigue life of drilled industrial composites: A hybrid machine learning with limited data.}, url = {http://dblp.uni-trier.de/db/journals/eswa/eswa216.html#KhayyamSJNKM23}, volume = 216, year = 2023 }