HYSTERESIS IN NEURAL NETWORKS

被引：3

作者：

SHUKLA, P

SINHA, TK

机构：

[1] Physics Department, North Eastern Hill University

来源：

PHYSICAL REVIEW E | 1994年 / 49卷 / 06期

关键词：

D O I：

10.1103/PhysRevE.49.R4811

中图分类号：

O35 [流体力学]; O53 [等离子体物理学];

学科分类号：

070204 ; 080103 ; 080704 ;

摘要：

The zero-temperature dynamics of neural networks is used to study history-dependent effects in random magnets. Random-field as well as random-bond Ising models are shown to exhibit hysteresis. The hysteresis loops of the random-bond model have a staircase structure while those of the random-field model are relatively smooth. We discuss the relevance of neural networks in the context of random-bond models, and the bearing the neural network dynamics has on the spectrum of relaxation times in a hysteretic system.

引用

页码：R4811 / R4814

页数：4

共 50 条

[31] Neural networks based model for sandwich system with hysteresis
Dong, Ruili
Tan, Qingyuan
Tan, Yonghong
PROCEEDINGS OF THE 48TH IEEE CONFERENCE ON DECISION AND CONTROL, 2009 HELD JOINTLY WITH THE 2009 28TH CHINESE CONTROL CONFERENCE (CDC/CCC 2009), 2009, : 739 - 743
[32] Modeling of hysteresis in piezoelectric actuators using neural networks
Zhang, Xinliang
Tan, Yonghong
Su, Miyong
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2009, 23 (08) : 2699 - 2711
[33] Modeling Hysteresis in Piezo Actuator Based on Neural Networks
Yang, Xuefeng
Li, Wei
Wang, Yuqiao
Ye, Guo
ADVANCES IN COMPUTATION AND INTELLIGENCE, PROCEEDINGS, 2008, 5370 : 290 - 296
[34] Dynamic Model of Hysteresis in Piezoelectric Actuator Based on Neural Networks
Zhao Xinlong
Wu Shuangjiang
Wu Yuecheng
Pan Haipeng
TransactionsofNanjingUniversityofAeronauticsandAstronautics, 2017, 34 (02) : 163 - 168
[35] A general approach for hysteresis modeling and identification using neural networks
Beuschel, M
Hangl, F
Schroder, D
IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE, 1998, : 2425 - 2428
[36] Modeling hysteresis loops of composite joints using neural networks
Wang, JY
Wong, YL
Chan, SL
ADVANCES IN STEEL STRUCTURES, VOLS 1 AND 2, 1999, : 1167 - 1174
[37] Design method of limit cycle generator by hysteresis neural networks
Yoneyama, T
Ninomiya, H
Asai, H
IJCNN 2000: PROCEEDINGS OF THE IEEE-INNS-ENNS INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOL III, 2000, : 500 - 505
[38] USING NEURAL NETWORKS FOR ERROR SUPPRESSION IN NONLINEAR SYSTEMS WITH HYSTERESIS
Vojtko, Jozef
METROLOGY AND MEASUREMENT SYSTEMS, 2006, 13 (01) : 79 - 89
[39] Growing Greedy Search and Its Application to Hysteresis Neural Networks
Yamaoka, Kei
Saito, Toshimichi
NEURAL INFORMATION PROCESSING, PT III, 2015, 9491 : 315 - 322
[40] Modeling Hysteresis Using Non-smooth Neural Networks
Tan, Yonghong
Dong, Ruili
ADVANCES IN NEURAL NETWORKS - ISNN 2018, 2018, 10878 : 124 - 129

← 1 2 3 4 5 →