Tariq M. Khan, Antonio Robles-Kelly. A Derivative-Free Method for Quantum Perceptron Training in Multi-layered Neural Networks. In Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King, editors, Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020, Proceedings, Part V. Volume 1333 of Communications in Computer and Information Science, pages 241-250, Springer, 2020. [doi]
@inproceedings{KhanR20-2,
title = {A Derivative-Free Method for Quantum Perceptron Training in Multi-layered Neural Networks},
author = {Tariq M. Khan and Antonio Robles-Kelly},
year = {2020},
doi = {10.1007/978-3-030-63823-8_29},
url = {https://doi.org/10.1007/978-3-030-63823-8_29},
researchr = {https://researchr.org/publication/KhanR20-2},
cites = {0},
citedby = {0},
pages = {241-250},
booktitle = {Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020, Proceedings, Part V},
editor = {Haiqin Yang and Kitsuchart Pasupa and Andrew Chi-Sing Leung and James T. Kwok and Jonathan H. Chan and Irwin King},
volume = {1333},
series = {Communications in Computer and Information Science},
publisher = {Springer},
isbn = {978-3-030-63823-8},
}