A backpropagation with gradient accumulation algorithm capable of tolerating memristor non-idealities for training memristive neural networks

Neurocomputing(2022)

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摘要
•The backpropagation with gradient accumulation (BP-GA) algorithm is proposed.•The BP-GA algorithm can tolerate significant memristor non-idealities.•The BP-GA algorithm is insensitive to learning rate.•The robustness of the BP-GA algorithm is attributed to the gradient accumulation.
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关键词
Memristive neural network,Memristor non-idealities,Backpropagation,Gradient accumulation
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