Automated Generation of SPICE Models of Memristor-Based Neural Networks from Python Models
Author:
Affiliation:
1. Southern Federal University,Neuromena Lab,Taganrog,Russia
2. Murom Institute Vladimir State University,AI Systems Design Laboratory,Murom,Russia
Funder
Ministry of Science and Higher Education of the Russian Federation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10138947/10138955/10139237.pdf?arnumber=10139237
Reference15 articles.
1. In‐Memory Vector‐Matrix Multiplication in Monolithic Complementary Metal–Oxide–Semiconductor‐Memristor Integrated Circuits: Design Choices, Challenges, and Perspectives
2. Neural network control over operation accuracy of memristor-based hardware
3. MViD: Sparse Matrix-Vector Multiplication in Mobile DRAM for Accelerating Recurrent Neural Networks
4. Memristor devices for neural networks;jeong;Journal of Physics D Applied Physics,2018
5. Design of Artificial Neural Networks with a Specified Quality of Functioning
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