| Autor: |
Ryndin, E. A., Mavrin, I. A., Andreeva, N. V., Luchinin, V. V. |
| Zdroj: |
Nanobiotechnology Reports; December 2023, Vol. 18 Issue: Supplement 1 pS194-S202, 9p |
| Abstrakt: |
In this work a method for increasing the efficiency of hardware implementation and minimizing the number of electronic synaptic elements of asynchronous spiking neural networks in solving image identification problems is developed. The effectiveness of the proposed method is demonstrated in the process of optimizing the parameters of neurons and training the neural network on the developed software model and confirmed by the results of SPICE modeling and measurement of the signals of the neural network implemented on series electronic components. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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