University of Maryland, College Park（马里兰大学帕克分校）

Learning Beyond Experience: Generalizing to Unseen State Space with Reservoir Computing

Declan A. Norton, Yuanzhao Zhang, Michelle Girvan

机构 * Department of Physics, University of Maryland, College Park, Maryland 20742, USA（大学物理系，马里兰大学，学院公园，马里兰州，20742，美国） ； Santa Fe Institute, Santa Fe, New Mexico 87501, USA（圣菲研究所，圣菲，新墨西哥州，87501，美国） ； Institute for Research in Electronics and Applied Physics, University of Maryland, College Park, Maryland 20742, USA（电子与应用物理研究所，马里兰大学，学院公园，马里兰州，20742，美国） ； Institute for Physical Science and Technology, University of Maryland, College Park, Maryland 20742, USA（物理科学与技术研究所，马里兰大学，学院公园，马里兰州，20742，美国） 纠错

Comments 18 pages, 12 figures. Updated to include results with RC generalization to unseen segregated and asymmetric basins of attraction and unseen chaotic attractors

Journal ref Chaos 35, 103146 (2025)