Citations refer to the original publication, not to a Scieee localized version.
Peng, H., Xiong, X., Wu, M., Wang, J., Yang, Q., Orellana Martín, D., & Pérez Jiménez, M. D. J. (2024). Reservoir computing models based on spiking neural P systems for time series classification. PERGAMON-ELSEVIER SCIENCE LTD. https://doi.org/10.1016/j.neunet.2023.10.041
Peng, Hong, et al. Reservoir computing models based on spiking neural P systems for time series classification. PERGAMON-ELSEVIER SCIENCE LTD, 2024. https://doi.org/10.1016/j.neunet.2023.10.041.
Peng, Hong, Xin Xiong, Min Wu, Jun Wang, Qiang Yang, David Orellana Martín, and Mario de Jesús Pérez Jiménez. Reservoir computing models based on spiking neural P systems for time series classification. PERGAMON-ELSEVIER SCIENCE LTD, 2024. https://doi.org/10.1016/j.neunet.2023.10.041.
Peng, H. et al. (2024) Reservoir computing models based on spiking neural P systems for time series classification. PERGAMON-ELSEVIER SCIENCE LTD. Available at: https://doi.org/10.1016/j.neunet.2023.10.041.
H. Peng et al., “Reservoir computing models based on spiking neural P systems for time series classification,” PERGAMON-ELSEVIER SCIENCE LTD, 2024, doi: 10.1016/j.neunet.2023.10.041.
@misc{peng2024reservoir,
author = {Peng, Hong and Xiong, Xin and Wu, Min and Wang, Jun and Yang, Qiang and Orellana Martín, David and Pérez Jiménez, Mario de Jesús},
title = {Reservoir computing models based on spiking neural P systems for time series classification},
year = {2024},
publisher = {PERGAMON-ELSEVIER SCIENCE LTD},
doi = {10.1016/j.neunet.2023.10.041},
url = {https://doi.org/10.1016/j.neunet.2023.10.041}
}
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