Leixin Ma, Themistocles Resvanis, Kim Vandiver. A Weighted Sparse-Input Neural Network Technique Applied to Identify Important Features for Vortex-Induced Vibration. In Jonghyun Lee, Eric F. Darve, Peter K. Kitanidis, Matthew W. Farthing, Tyler Hesser, editors, Proceedings of the AAAI 2020 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 23rd - to - 25th, 2020. Volume 2587 of CEUR Workshop Proceedings, CEUR-WS.org, 2020. [doi]
@inproceedings{MaRV20,
title = {A Weighted Sparse-Input Neural Network Technique Applied to Identify Important Features for Vortex-Induced Vibration},
author = {Leixin Ma and Themistocles Resvanis and Kim Vandiver},
year = {2020},
url = {http://ceur-ws.org/Vol-2587/article_2.pdf},
researchr = {https://researchr.org/publication/MaRV20},
cites = {0},
citedby = {0},
booktitle = {Proceedings of the AAAI 2020 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 23rd - to - 25th, 2020},
editor = {Jonghyun Lee and Eric F. Darve and Peter K. Kitanidis and Matthew W. Farthing and Tyler Hesser},
volume = {2587},
series = {CEUR Workshop Proceedings},
publisher = {CEUR-WS.org},
}