Design of Fully Analogue Artificial Neural Network with Learning Based on Backpropagation
A fully analogue implementation of training algorithms would speed up the training of artificial neural networks.A common choice for training the feedforward networks is the backpropagation with stochastic gradient descent. However, the circuit design that would enable its analogue implementation is...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Spolecnost pro radioelektronicke inzenyrstvi
2021-06-01
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| Series: | Radioengineering |
| Subjects: | |
| Online Access: | https://www.radioeng.cz/fulltexts/2021/21_02_0357_0363.pdf |