Dante Mújica-Vargas, Antonio Luna-Alvarez, José de Jesús Rubio, Blanca E. Carvajal-Gámez. Noise gradient strategy for an enhanced hybrid convolutional-recurrent deep network to control a self-driving vehicle. Appl. Soft Comput., 92:106258, 2020. [doi]
@article{Mujica-VargasLR20,
title = {Noise gradient strategy for an enhanced hybrid convolutional-recurrent deep network to control a self-driving vehicle},
author = {Dante Mújica-Vargas and Antonio Luna-Alvarez and José de Jesús Rubio and Blanca E. Carvajal-Gámez},
year = {2020},
doi = {10.1016/j.asoc.2020.106258},
url = {https://doi.org/10.1016/j.asoc.2020.106258},
researchr = {https://researchr.org/publication/Mujica-VargasLR20},
cites = {0},
citedby = {0},
journal = {Appl. Soft Comput.},
volume = {92},
pages = {106258},
}