Dynamic Learning Rate for Neural Networks: A Fixed-Time Stability Approach

Rodrigo Aldana-Lopez, Leobardo Emmanuel Campos-Macias, Julio Zamora, David Gómez-Gutiérrez, Adan Cruz. Dynamic Learning Rate for Neural Networks: A Fixed-Time Stability Approach. In 24th International Conference on Pattern Recognition, ICPR 2018, Beijing, China, August 20-24, 2018. pages 1378-1383, IEEE Computer Society, 2018. [doi]

@inproceedings{Aldana-LopezCZG18,
  title = {Dynamic Learning Rate for Neural Networks: A Fixed-Time Stability Approach},
  author = {Rodrigo Aldana-Lopez and Leobardo Emmanuel Campos-Macias and Julio Zamora and David Gómez-Gutiérrez and Adan Cruz},
  year = {2018},
  doi = {10.1109/ICPR.2018.8546084},
  url = {https://doi.org/10.1109/ICPR.2018.8546084},
  researchr = {https://researchr.org/publication/Aldana-LopezCZG18},
  cites = {0},
  citedby = {0},
  pages = {1378-1383},
  booktitle = {24th International Conference on Pattern Recognition, ICPR 2018, Beijing, China, August 20-24, 2018},
  publisher = {IEEE Computer Society},
  isbn = {978-1-5386-3788-3},
}