Training Process of Memristor-Based Spiking Neural Networks For Non-linearity

被引：0

作者：

Chen, Tsu-Hsiang ^{[1
]}

Chang, Chih-Chun ^{[1
]}

Huang, Chih-Tsun ^{[1
]}

Liou, Jing-Jia ^{[2
]}

机构：

[1] Natl Tsing Hua Univ, Dept Comp Sci, Hsinchu, Taiwan

[2] Natl Tsing Hua Univ, Dept Elect Engn, Hsinchu, Taiwan

来源：

2024 INTERNATIONAL VLSI SYMPOSIUM ON TECHNOLOGY, SYSTEMS AND APPLICATIONS, VLSI TSA | 2024年

关键词：

Spiking Neural Network; Memristor Array; Training; Variability;

D O I：

10.1109/VLSITSA60681.2024.10546383

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The implementation of a spiking neural network (SNN) with memristor arrays has the potential to improve the area and power efficiency of edge-device inference. However, due to non-linearity, we cannot maintain the inference accuracy on a memristor array with the trained weights based on a regular SNN. In this paper, we proposed a training process to consider the non-linear circuit effects. With the proposed method, the experimental results showed that the accuracy of the trained SNN was improved from 62.99% to 92.81%.

引用

下载

页数：4

共 50 条

[31] Programmable Non-Linearity for STAR Cellular Neural Networks
Sargeni, Fausto
Bonaiuto, Vincenzo
2009 EUROPEAN CONFERENCE ON CIRCUIT THEORY AND DESIGN, VOLS 1 AND 2, 2009, : 547 - 550
[32] Equilibrium Propagation for Memristor-Based Recurrent Neural Networks
Zoppo, Gianluca
Marrone, Francesco
Corinto, Fernando
FRONTIERS IN NEUROSCIENCE, 2020, 14
[33] Memristor-based Neuromorphic Implementations for Artificial Neural Networks
Zhao, Chun
Zhou, Guang You
Zhao, Ce Zhou
Yang, Li
Man, Ka Lok
Lim, Eng Gee
2018 INTERNATIONAL SOC DESIGN CONFERENCE (ISOCC), 2018, : 174 - 175
[34] Multisynchronization of a class of delayed memristor-based neural networks
Lin, Ya-Qi
Ge, Ming-Feng
Ding, Teng-Fei
Zhu, Ziqi
He, Juanjuan
PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 5509 - 5513
[35] Equilibrium Propagation and (Memristor-based) Oscillatory Neural Networks
Zoppo, Gianluca
Marrone, Francesco
Bonnin, Michele
Corinto, Fernando
2022 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS 22), 2022, : 639 - 643
[36] Hardware implementation of memristor-based artificial neural networks
Aguirre, Fernando
Sebastian, Abu
Le Gallo, Manuel
Song, Wenhao
Wang, Tong
Yang, J. Joshua
Lu, Wei
Chang, Meng-Fan
Ielmini, Daniele
Yang, Yuchao
Mehonic, Adnan
Kenyon, Anthony
Villena, Marco A.
Roldan, Juan B.
Wu, Yuting
Hsu, Hung-Hsi
Raghavan, Nagarajan
Sune, Jordi
Miranda, Enrique
Eltawil, Ahmed
Setti, Gianluca
Smagulova, Kamilya
Salama, Khaled N.
Krestinskaya, Olga
Yan, Xiaobing
Ang, Kah-Wee
Jain, Samarth
Li, Sifan
Alharbi, Osamah
Pazos, Sebastian
Lanza, Mario
NATURE COMMUNICATIONS, 2024, 15 (01)
[37] Hardware implementation of memristor-based artificial neural networks
Fernando Aguirre
Abu Sebastian
Manuel Le Gallo
Wenhao Song
Tong Wang
J. Joshua Yang
Wei Lu
Meng-Fan Chang
Daniele Ielmini
Yuchao Yang
Adnan Mehonic
Anthony Kenyon
Marco A. Villena
Juan B. Roldán
Yuting Wu
Hung-Hsi Hsu
Nagarajan Raghavan
Jordi Suñé
Enrique Miranda
Ahmed Eltawil
Gianluca Setti
Kamilya Smagulova
Khaled N. Salama
Olga Krestinskaya
Xiaobing Yan
Kah-Wee Ang
Samarth Jain
Sifan Li
Osamah Alharbi
Sebastian Pazos
Mario Lanza
Nature Communications, 15
[38] Memristor-based chaotic neural networks for associative memory
Shukai Duan
Yi Zhang
Xiaofang Hu
Lidan Wang
Chuandong Li
Neural Computing and Applications, 2014, 25 : 1437 - 1445
[39] Memristor-Based Circuit Design for Multilayer Neural Networks
Zhang, Yang
Wang, Xiaoping
Friedman, Eby G.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2018, 65 (02) : 677 - 686
[40] Memristor-based chaotic neural networks for associative memory
Duan, Shukai
Zhang, Yi
Hu, Xiaofang
Wang, Lidan
Li, Chuandong
NEURAL COMPUTING & APPLICATIONS, 2014, 25 (06): : 1437 - 1445

← 1 2 3 4 5 →