1. C.D. James, J.B. Aimone, N.E. Miner, C.M. Vineyard, F.H. Rothganger, K.D. Carlson, S.A. Mulder, T.J. Draelos, A. Faust, M.J. Marinella et al., A historical survey of algorithms and hardware architectures for neural-inspired and neuromorphic computing applications. Biol. Inspired Cogn. Archit. 19, 49–64 (2017)
2. P. Sheridan, W. Ma, W. Lu, Pattern recognition with memristor networks. In: 2014 IEEE International Symposium on circuits and systems (ISCAS), pp. 1078–1081 (2014). IEEE
3. S. Resisi, S.M. Popoff, Y. Bromberg, Image transmission through a dynamically perturbed multimode fiber by deep learning. Laser Photonics Rev. 15(10), 2000553 (2021)
4. F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg et al., Scikit-learn: machine learning in python. J. Mach. Learn Res. 12, 2825–2830 (2011)
5. S. Thiago, M. Walmir, A review of machine learning approaches to spam filtering. Expert Syst. Appl. 36(7), 10206–10222 (2009)