date: 2024-08-06T13:36:39Z pdf:PDFVersion: 1.6 pdf:docinfo:title: Deep learning-based state prediction of the Lorenz system with control parameters access_permission:can_print_degraded: true subject: Chaos.2024.34:033108 dc:format: application/pdf; version=1.6 access_permission:fill_in_form: true pdf:encrypted: false dc:title: Deep learning-based state prediction of the Lorenz system with control parameters modified: 2024-08-06T13:36:39Z cp:subject: Chaos.2024.34:033108 pdf:docinfo:custom:CrossMarkDomains[1]: aip.org pdf:docinfo:subject: Chaos.2024.34:033108 pdf:docinfo:creator: Xiaolong Wang meta:author: Jing Feng meta:creation-date: 2024-08-06T13:34:04Z pdf:docinfo:custom:CrossmarkMajorVersionDate: 2024-03-05 created: Tue Aug 06 15:34:04 CEST 2024 access_permission:extract_for_accessibility: true Creation-Date: 2024-08-06T13:34:04Z pdf:docinfo:custom:doi: 10.1063/5.0187866 pdf:docinfo:custom:CrossmarkDomainExclusive: true Author: Jing Feng producer: iTextSharp 4.1.6 by 1T3XT CrossmarkDomainExclusive: true pdf:docinfo:producer: iTextSharp 4.1.6 by 1T3XT doi: 10.1063/5.0187866 dc:description: Chaos.2024.34:033108 access_permission:modify_annotations: true dc:creator: Jing Feng description: Chaos.2024.34:033108 dcterms:created: 2024-08-06T13:34:04Z Last-Modified: 2024-08-06T13:36:39Z dcterms:modified: 2024-08-06T13:36:39Z title: Deep learning-based state prediction of the Lorenz system with control parameters xmpMM:DocumentID: uuid:17fe6056-35ce-4f4e-b4ed-e393c2a42868 Last-Save-Date: 2024-08-06T13:36:39Z CrossMarkDomains[1]: aip.org pdf:docinfo:modified: 2024-08-06T13:36:39Z meta:save-date: 2024-08-06T13:36:39Z Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Jing Feng access_permission:assemble_document: true xmpTPg:NPages: 15 access_permission:extract_content: true access_permission:can_print: true access_permission:can_modify: true pdf:docinfo:created: 2024-08-06T13:34:04Z CrossmarkMajorVersionDate: 2024-03-05