Neuromorphic computing

Registration ID: IJNRD_181488

Published ID: IJNRD2205117

DOI: Click Here to Get

MR.PRAMOD K , Ardra Murali

artificial intelligence, synapse, Artificial neural network. ,spiking neural network

Compared to von Neumann's computer architecture, neuromorphic systems offer unique and novel solutions to artificial intelligence. Inspired by biology, this novel system has applied the modeling theory of the human brain by connecting neurons made with synapses to reveal new concepts of neuroscience. Many researchers have invested heavily in neuro-inspired models, algorithms, learning methods, neuromorphic system testing systems and using many compatible applications. Recently, some researchers demonstrated the power of Hopfield algorithms in some major hardware projects and saw significant progress. This paper introduces a comprehensive review and focuses on the Hopfield algorithm model and potential developments in new research programs. Finally, we conclude with a broad discussion and a working framework for the latest system prospects to make it easier for engineers to better understand the above-mentioned model in terms of building their performance-oriented projects.

Published Paper   E-Certificate

MR.PRAMOD K & Ardra Murali (May-2022). Neuromorphic computing. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(5), 982-989. https://ijnrd.org/papers/IJNRD2205117.pdf

Volume 7 Issue 5, May-2022

Pages : 982-989

Paper Reg. ID: IJNRD_181488

Published Paper Id: IJNRD2205117

Downloads: 000122003

Research Area: Master of Computer Application 

Country: Thrissur, kerala, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2205117.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2205117

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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