A Diagonally Weighted Binary Memristor Crossbar Architecture Based on Multilayer Neural Network for Better Accuracy Rate in Speech Recognition Application
A novel binary memristor crossbar architecture based on multilayer neural networks is proposed in the speech recognition application. Here, the memristor crossbar circuit acts as the weights of the neural network combined with the activation function circuit to determine the output. In the new cro...
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| Format: | Article |
| Language: | English |
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Stefan cel Mare University of Suceava
2019-05-01
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| Series: | Advances in Electrical and Computer Engineering |
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| Online Access: | http://dx.doi.org/10.4316/AECE.2019.02010 |