北京师范大学学报（自然科学版）2023，Vol.59Issue(6)：860-868,9.DOI:10.12202/j.0476-0301.2023197
储备池算法与动力系统分析研究进展
Reservoir computing and dynamical systems:a survey
摘要
Abstract
Science exploration based on increasingly sophisticated artificial intelligence has witnessed great technological advances.Meanwhile,mathematical foundation of intelligent phenomena has emerged as a crucial scientific issue requiring urgent resolution.Of the numerous artificial intelligence algorithms,reservoir computing,due to its simple structure,flexible and diverse implementation,and characteristics of nonlinearity and memory storage,is widely applied in the research of time series and dynamical system-related problems.Trained reservoir forms a complex dynamical system.Serving as a bridge,analysis by dynamical system theory through the reservoir plays an important role in exploring intelligent phenomena in the learning process.The latest progress in reservoir computing algorithm is reviewed in this work,outlining two complementary research directions:reservoir computing for dynamical systems,dynamical system foundations of reservoir computing.The present work will deepen understanding of artificial intelligence algorithms,and promote interdisciplinary research and communication among artificial intelligence,complex systems,and statistical physics-related disciplines.关键词
人工神经网络/储备池算法/动力系统/非线性动力学Key words
artificial neural network/reservoir computing/dynamical system/nonlinear dynamics分类
数理科学引用本文复制引用
高健,颜子翔,肖井华..储备池算法与动力系统分析研究进展[J].北京师范大学学报（自然科学版）,2023,59(6):860-868,9.基金项目
国家自然科学基金资助项目(11775034) （11775034）
中央高校基本科研业务费专项资助项目(2022RC26,2019XD-A10) （2022RC26,2019XD-A10）
