1D and 2D Chaotic Time Series Prediction Using Hierarchical Reservoir Computing System

Q4 Engineering
Md Razuan Hossain, Anur Dhungel, Maisha Sadia, P. Paul, Md. Sakib Hasan
{"title":"1D and 2D Chaotic Time Series Prediction Using Hierarchical Reservoir Computing System","authors":"Md Razuan Hossain, Anur Dhungel, Maisha Sadia, P. Paul, Md. Sakib Hasan","doi":"10.1142/s0129156423500143","DOIUrl":null,"url":null,"abstract":"Reservoir Computing (RC) is a type of machine learning inspired by neural processes, which excels at handling complex and time-dependent data while maintaining low training costs. RC systems generate diverse reservoir states by extracting features from raw input and projecting them into a high-dimensional space. One key advantage of RC networks is that only the readout layer needs training, reducing overall training expenses. Memristors have gained popularity due to their similarities to biological synapses and compatibility with hardware implementation using various devices and systems. Chaotic events, which are highly sensitive to initial conditions, undergo drastic changes with minor adjustments. Cascade chaotic maps, in particular, possess greater chaotic properties, making them difficult to predict with memoryless devices. This study aims to predict 1D and 2D cascade chaotic time series using a memristor-based hierarchical RC system.","PeriodicalId":35778,"journal":{"name":"International Journal of High Speed Electronics and Systems","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of High Speed Electronics and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/s0129156423500143","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 1

Abstract

Reservoir Computing (RC) is a type of machine learning inspired by neural processes, which excels at handling complex and time-dependent data while maintaining low training costs. RC systems generate diverse reservoir states by extracting features from raw input and projecting them into a high-dimensional space. One key advantage of RC networks is that only the readout layer needs training, reducing overall training expenses. Memristors have gained popularity due to their similarities to biological synapses and compatibility with hardware implementation using various devices and systems. Chaotic events, which are highly sensitive to initial conditions, undergo drastic changes with minor adjustments. Cascade chaotic maps, in particular, possess greater chaotic properties, making them difficult to predict with memoryless devices. This study aims to predict 1D and 2D cascade chaotic time series using a memristor-based hierarchical RC system.
基于分层油藏计算系统的一维和二维混沌时间序列预测
油藏计算(RC)是一种受神经过程启发的机器学习,它擅长处理复杂和依赖时间的数据,同时保持较低的训练成本。RC系统通过从原始输入中提取特征并将其投影到高维空间中来生成不同的储层状态。RC网络的一个关键优势是,只有读出层需要训练,从而减少了整体训练费用。忆阻器因其与生物突触的相似性以及与使用各种设备和系统的硬件实现的兼容性而广受欢迎。混沌事件对初始条件高度敏感,经过微小调整后会发生剧烈变化。级联混沌映射尤其具有更大的混沌特性,这使得它们很难用无记忆设备进行预测。本研究旨在使用基于忆阻器的分级RC系统预测1D和2D级联混沌时间序列。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
International Journal of High Speed Electronics and Systems
International Journal of High Speed Electronics and Systems Engineering-Electrical and Electronic Engineering
CiteScore
0.60
自引率
0.00%
发文量
22
期刊介绍: Launched in 1990, the International Journal of High Speed Electronics and Systems (IJHSES) has served graduate students and those in R&D, managerial and marketing positions by giving state-of-the-art data, and the latest research trends. Its main charter is to promote engineering education by advancing interdisciplinary science between electronics and systems and to explore high speed technology in photonics and electronics. IJHSES, a quarterly journal, continues to feature a broad coverage of topics relating to high speed or high performance devices, circuits and systems.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信