Open Access
| Issue |
E3S Web Conf.
Volume 224, 2020
Topical Problems of Agriculture, Civil and Environmental Engineering (TPACEE 2020)
|
|
|---|---|---|
| Article Number | 01026 | |
| Number of page(s) | 7 | |
| Section | Mathematical Models for Environmental Monitoring and Assessment | |
| DOI | https://doi.org/10.1051/e3sconf/202022401026 | |
| Published online | 23 December 2020 | |
- Goodfellow I, Bengio Y and Courville A 2016 Deep learning (Cambridge, London: MIT Press) [Google Scholar]
- Maass W 2002 Models of Neural Networks. Early Vision and Attention (New York: Springer) p 373 [CrossRef] [Google Scholar]
- Davies M et al 2018 IEEE Micro 1(38) 82–99 [CrossRef] [Google Scholar]
- Shrestha S B and Orchard G 2018 Advances in Neural Information Processing Systems (Montréal, QC) p 1412 [Google Scholar]
- Hu Y, Tang H, Wang Y and Pan G 2018 Spiking deep residual network arXiv:1805.01352 [Google Scholar]
- Markram H, Lübke J, Frotscher M and Sakmann B 1997 Science 275 213–15 [Google Scholar]
- Lee J H, Delbruck T and Pfeiffer M 2016 Front. Neurosci 10 508 [Google Scholar]
- Lee C, Sarwar S S, Panda P, Srinivasan G and Roy K 2020 Front. Neurosci. 14 119 [Google Scholar]
- Bondarev V 2016 Lecture Notes in Computer Science (Springer, Cham) p 647 [Google Scholar]
- Bondarev V 2018 Studies in Computational Intelligence (Springer, Cham) p 53 [Google Scholar]
- Bondarev V 2018 Lecture Notes in Computer Science (Springer, Cham) [Google Scholar]
- Gerstner W and Kistler W M 2002 Spiking neuron models: Single neurons, populations, plasticity (Cambridge: Cambridge university press) [CrossRef] [Google Scholar]
- Neftci E O, Mostafa H and Zenke F 2019 IEEE Signal Processing Magazine 6(36) 51–63 [Google Scholar]
- Kingma D P and Ba J 2014 AdaM: A method for stochastic optimization arXiv:1412.6980 [Google Scholar]
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