Could you add/note a(ny) correlation(s) between supercapacitor_grid[1,2] and neural_networks[3,4] ?
References:
1. Capacitors for Power Grid Storage https://www.energy.gov/sites/prod/files/piprod/documents/Session_D_Miller_rev.pdf
2. Micro-Supercapacitor Based on a Superassembled Three-Dimensional Network Zn@PPy Hybrid Electrode https://pubs.acs.org/doi/10.1021/acsami.0c19740
3. Human Brain Project https://www.humanbrainproject.eu/en/
4. SpiNNaker: A Spiking Neural Network Architecture https://www.nowpublishers.com/article/BookDetails/9781680836523
This could help
https://ai.stackexchange.com/questions/5728/what-is-the-time-complexity-for-training-a-neural-network-using-back-propagation/5730
Ioannis Samaras ,
Both energy grids and neural networks can be categorised as complex networks. As examples of same behavior is that they can both demonstrate 'small world' effect.
Regards
Power grid references
[1]Classes of small-world networks by L. A. N. Amaral, A. Scala, M. Barthélémy, and H. E. Stanley. Available at: https://www.pnas.org/content/97/21/11149
[2] Collective dynamics of ‘small-world’ networks by Duncan J. Watts & Steven H. Strogatz.
Neural Network references
[3] Emergence of the small-world architecture in neural networks by activity dependent growth by Fail M. Gafarov. Preprint available at: https://www.researchgate.net/publication/303979626_Emergence_of_the_small-world_architecture_in_neural_networks_by_activity_dependent_growth
[4]Small-World Brain Networks Revisited by Danielle S. Bassett and Edward T. Bullmore. Available at:Article Small-World Brain Networks Revisited
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