Study of recall time of associative memory in a memristive Hopfield neural network
By associative memory, people can remember a pattern in microseconds to seconds. In order to emulate human memory, an artificial neural network should also spend a reasonable time in recalling matters of different task difficulties or task familiarities. In this paper, we study the recall time in a...
Saved in:
Main Authors: | Kong, Deyu, Hu, Shaogang, Wang, Junjie, Liu, Zhen, Chen, Tupei, Yu, Qi, Liu, Yang |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/106453 http://hdl.handle.net/10220/48928 http://dx.doi.org/10.1109/ACCESS.2019.2915271 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Dual functional states of working memory realized by memristor-based neural network
by: Wang, Hongzhe, et al.
Published: (2023) -
Coexistence of write once read many memory and memristor in blend of Poly(3,4-ethylenedioxythiophene) : polystyrene sulfonate and polyvinyl alcohol
by: Nguyen, Viet Cuong, et al.
Published: (2018) -
Nonvolatile logic‐in‐memory computing based on solution‐processed CuI memristor
by: Bochang Li, et al.
Published: (2023) -
High Throughput, Area-Efficient, and Variation-Tolerant 3D In-memory Compute System for Deep Convolutional Neural Networks
by: EVGENY ZAMBURG, et al.
Published: (2021) -
TWO-DIMENSIONAL MATERIAL PLATFORM FOR LOGIC AND MEMRISTIVE DEVICE APPLICATIONS
by: FENG XUEWEI
Published: (2019)