Ivo Bukovsky, Noriyasu Homma, L. Smetana, Ricardo Rodriguez, M. Mironovova, S. Vrana. Quadratic neural unit is a good compromise between linear models and neural networks for industrial applications. In Fuchun Sun, Yingxu Wang, Jianhua Lu, Bo Zhang, Witold Kinsner, Lotfi A. Zadeh, editors, Proceedings of the 9th IEEE International Conference on Cognitive Informatics, ICCI 2010, July 7-9, 2010, Beijing, China. pages 556-560, IEEE, 2010. [doi]
@inproceedings{BukovskyHSRMV10,
title = {Quadratic neural unit is a good compromise between linear models and neural networks for industrial applications},
author = {Ivo Bukovsky and Noriyasu Homma and L. Smetana and Ricardo Rodriguez and M. Mironovova and S. Vrana},
year = {2010},
doi = {10.1109/COGINF.2010.5599677},
url = {http://doi.ieeecomputersociety.org/10.1109/COGINF.2010.5599677},
researchr = {https://researchr.org/publication/BukovskyHSRMV10},
cites = {0},
citedby = {0},
pages = {556-560},
booktitle = {Proceedings of the 9th IEEE International Conference on Cognitive Informatics, ICCI 2010, July 7-9, 2010, Beijing, China},
editor = {Fuchun Sun and Yingxu Wang and Jianhua Lu and Bo Zhang and Witold Kinsner and Lotfi A. Zadeh},
publisher = {IEEE},
isbn = {978-1-4244-8041-8},
}