A fully hardware-based memristive multilayer neural network
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, University of Massachusetts Amherst, Amherst, MA 01003, USA.
Abstract
Publisher
American Association for the Advancement of Science (AAAS)
Subject
Multidisciplinary
Reference60 articles.
1. Memristor‐Based Analog Computation and Neural Network Classification with a Dot Product Engine
2. A fully integrated reprogrammable memristor–CMOS system for efficient multiply–accumulate operations
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4. K-means Data Clustering with Memristor Networks
5. Fully hardware-implemented memristor convolutional neural network
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