Linear and Symmetric Li-Based Composite Memristors for Efficient Supervised Learning.
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DOI: 10.1021/acsami.1c24562
Abstract: Emerging energy-efficient neuromorphic circuits are based on hardware implementation of artificial neural networks (ANNs) that employ the biomimetic functions of memristors. Specifically, crossbar array memristive architectures are able to perform ANN vector-matrix multiplication more efficiently… read more here.
Keywords: symmetric based; memristors efficient; based composite; linear symmetric ... See more keywords