Memristor-based in-memory computing for multilayer artificial neural networks

Memristor-based in-memory computing for multilayer artificial neural networks

Analogue in-memory computing and brain-inspired computing based on the emerging memory technology such as Resistive RAM (RRAM) and Phase Change RAM (PRAM), integrates the logic module into the storage module and has a much higher energy efficiency, providing a feasible alternative method to fu...

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Bibliographic Details
Main Author: Zhao, Guangchao
Other Authors: Tay Beng Kang
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2020
Subjects:
Engineering::Electrical and electronic engineering::Nanoelectronics
Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online Access:https://hdl.handle.net/10356/140815

Internet

https://hdl.handle.net/10356/140815

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