Investigation of Memristor-Based Neural Networks on Pattern Recognition-Reference-Cited by-同舟云学术

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Investigation of Memristor-Based Neural Networks on Pattern Recognition

Published:2023-03-13 Issue: Volume: Page:
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Author:

Routhu Gayatri¹^ORCID,Phalguni Singh Ngangbam¹^ORCID,Raja Selvakumar²,Reddy Eppala Shashi Kumar¹

Affiliation:

1. Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, KL Deemed to be University, Vijayawada 522302, India

2. Department of Electronics and Communication Engineering, Anna University, Chennai 600025, India

Publisher

MDPI

Link

https://www.mdpi.com/2673-4591/34/1/9/pdf

Reference17 articles.

1. (2020, June 01). Creswell. UC Santa Cruz UC Santa Cruz Electronic Theses and Dissertations Title. Available online: https://escholarship.org/uc/item/0jx2107r.

2. Amelia, D. (2020, June 01). Application of Memristive Device Arrays for Pattern Recognition-Title. Available online: http://mpoc.org.my/malaysian-palm-oil-industry/.

3. A circuit-based learning architecture for multilayer neural networks with memristor bridge synapses;Adhikari;IEEE Trans. Circuits Syst. I Regul. Pap.,2015

4. Learning in memristive neural network architectures using analog backpropagation circuits;Krestinskaya;IEEE Trans. Circuits Syst. I Regul. Pap.,2019

5. Hierarchical Temporal Memory Features with Memristor Logic Circuits for Pattern Recognition;Krestinskaya;IEEE Trans. Comput. Des. Integr. Circuits Syst.,2018

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