{"id":"https://openalex.org/W4386425855","doi":"https://doi.org/10.1142/s021812742350116x","title":"Recognizing Chaos by Deep Learning and Transfer Learning on Recurrence Plots","display_name":"Recognizing Chaos by Deep Learning and Transfer Learning on Recurrence Plots","publication_year":2023,"publication_date":"2023-08-01","ids":{"openalex":"https://openalex.org/W4386425855","doi":"https://doi.org/10.1142/s021812742350116x"},"language":"en","primary_location":{"id":"doi:10.1142/s021812742350116x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021812742350116x","pdf_url":null,"source":{"id":"https://openalex.org/S81011612","display_name":"International Journal of Bifurcation and Chaos","issn_l":"0218-1274","issn":["0218-1274","1793-6551"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Bifurcation and Chaos","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048421704","display_name":"Yu Zhou","orcid":"https://orcid.org/0000-0002-3224-0063"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]},{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu Zhou","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University, Tianjin 300350, P. R. China","College of Intelligence Science and Technology, National University of Defense Technology, Changsha Hunan, 410073, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, Tianjin 300350, P. R. China","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"College of Intelligence Science and Technology, National University of Defense Technology, Changsha Hunan, 410073, P. R. China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089002209","display_name":"Shuo Gao","orcid":"https://orcid.org/0000-0003-3096-4700"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Gao","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University, Tianjin 300350, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, Tianjin 300350, P. R. China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025805718","display_name":"Mingwei Sun","orcid":"https://orcid.org/0000-0002-0974-6525"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingwei Sun","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University, Tianjin 300350, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-0974-6525","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, Tianjin 300350, P. R. China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103267867","display_name":"Yajing Zhou","orcid":"https://orcid.org/0000-0003-2244-1344"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]},{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yajing Zhou","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University, Tianjin 300350, P. R. China","College of Intelligence Science and Technology, National University of Defense Technology, Changsha Hunan, 410073, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, Tianjin 300350, P. R. China","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"College of Intelligence Science and Technology, National University of Defense Technology, Changsha Hunan, 410073, P. R. China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073105796","display_name":"Zengqiang Chen","orcid":"https://orcid.org/0000-0002-1415-4073"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zengqiang Chen","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University, Tianjin 300350, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, Tianjin 300350, P. R. China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100662566","display_name":"Jianhong Zhang","orcid":"https://orcid.org/0000-0002-6794-9515"},"institutions":[{"id":"https://openalex.org/I4210120144","display_name":"Beijing Jingshida Electromechanical Equipment Research Institute","ror":"https://ror.org/02vx4zx98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210120144"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhong Zhang","raw_affiliation_strings":["Beijing Electro-Mechanical Engineering Institute, Beijing 100074, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Electro-Mechanical Engineering Institute, Beijing 100074, P. R. China","institution_ids":["https://openalex.org/I4210120144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5048421704"],"corresponding_institution_ids":["https://openalex.org/I170215575","https://openalex.org/I205237279"],"apc_list":null,"apc_paid":null,"fwci":1.2607,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.78250476,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"33","issue":"10","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10244","display_name":"Chaos control and synchronization","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10244","display_name":"Chaos control and synchronization","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11261","display_name":"Quantum chaos and dynamical systems","score":0.9564999938011169,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.706645131111145},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.7014625072479248},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6757305264472961},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6237565279006958},{"id":"https://openalex.org/keywords/recurrence-plot","display_name":"Recurrence plot","score":0.6122111678123474},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5642785429954529},{"id":"https://openalex.org/keywords/chaos","display_name":"CHAOS (operating system)","score":0.5576310157775879},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5468485355377197},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.48824551701545715},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.48142358660697937},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4383578300476074},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4238876700401306},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4165152609348297},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.357963502407074},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.353272408246994},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.10926762223243713}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.706645131111145},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.7014625072479248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6757305264472961},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6237565279006958},{"id":"https://openalex.org/C173134143","wikidata":"https://www.wikidata.org/wiki/Q2797953","display_name":"Recurrence plot","level":3,"score":0.6122111678123474},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5642785429954529},{"id":"https://openalex.org/C2779374083","wikidata":"https://www.wikidata.org/wiki/Q5011038","display_name":"CHAOS (operating system)","level":2,"score":0.5576310157775879},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5468485355377197},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.48824551701545715},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.48142358660697937},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4383578300476074},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4238876700401306},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4165152609348297},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.357963502407074},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.353272408246994},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.10926762223243713},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s021812742350116x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021812742350116x","pdf_url":null,"source":{"id":"https://openalex.org/S81011612","display_name":"International Journal of Bifurcation and Chaos","issn_l":"0218-1274","issn":["0218-1274","1793-6551"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Bifurcation and Chaos","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3958990395","display_name":null,"funder_award_id":"62073177","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4639423964","display_name":null,"funder_award_id":"51777013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6033413095","display_name":null,"funder_award_id":"61973175","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W427759743","https://openalex.org/W1968290244","https://openalex.org/W1984391316","https://openalex.org/W1997628743","https://openalex.org/W2015710702","https://openalex.org/W2038249874","https://openalex.org/W2073630396","https://openalex.org/W2075810436","https://openalex.org/W2081028405","https://openalex.org/W2099593264","https://openalex.org/W2134383471","https://openalex.org/W2145232064","https://openalex.org/W2152254020","https://openalex.org/W2181476714","https://openalex.org/W2755841604","https://openalex.org/W2767336192","https://openalex.org/W2883419547","https://openalex.org/W2983998700","https://openalex.org/W2993713496","https://openalex.org/W3004086051","https://openalex.org/W3009638059","https://openalex.org/W3010688876","https://openalex.org/W3016676590","https://openalex.org/W3090892030","https://openalex.org/W3093699748","https://openalex.org/W3097411734","https://openalex.org/W3133957662","https://openalex.org/W3136341087","https://openalex.org/W3159222978","https://openalex.org/W4213265488","https://openalex.org/W4224262250","https://openalex.org/W4256081943"],"related_works":["https://openalex.org/W3135818718","https://openalex.org/W3091976719","https://openalex.org/W3012393889","https://openalex.org/W3018421652","https://openalex.org/W3192840557","https://openalex.org/W4287776258","https://openalex.org/W4366224123","https://openalex.org/W4308262314","https://openalex.org/W3027997911","https://openalex.org/W3021430260"],"abstract_inverted_index":{"Chaos":[0],"recognition":[1,23,75,148],"is":[2,64,140,171],"necessary":[3],"to":[4,18,84,92,127,142,153,173],"determine":[5],"the":[6,27,32,41,51,55,59,62,72,110,116,125,129,137,168,174,190,193],"prediction":[7],"possibility":[8],"for":[9,164],"specific":[10],"time":[11,42,56,99,175],"series.":[12,57],"In":[13,69,134],"this":[14,70,135],"paper,":[15],"we":[16],"attempt":[17],"seek":[19],"a":[20,45,81,178],"novel":[21,94],"chaos":[22,74,147],"method":[24],"based":[25],"on":[26],"recurrent":[28],"plot":[29],"(RP)":[30],"and":[31,105,159,167,182],"convolutional":[33],"neural":[34,131],"network":[35,132],"(CNN).":[36],"The":[37,146,186],"RP":[38],"can":[39,77,89,150],"transform":[40],"series":[43,100,176],"into":[44],"two-dimensional":[46],"image,":[47],"which":[48,88],"intuitively":[49],"reflects":[50],"inherent":[52],"nature":[53],"of":[54,192],"On":[58],"other":[60],"hand,":[61],"CNN":[63],"powerful":[65],"in":[66,80],"pattern":[67],"classification.":[68],"way,":[71],"existing":[73],"results":[76,188],"be":[78,90,151],"unified":[79],"general":[82],"framework":[83],"form":[85],"accumulated":[86],"knowledge,":[87],"used":[91,123,141,163],"recognize":[93],"dynamics.":[95],"First,":[96],"three":[97],"major":[98],"classes,":[101],"namely":[102],"chaotic,":[103],"periodic":[104],"random":[106],"ones":[107],"generated":[108],"from":[109,177],"classical":[111],"dynamics,":[112],"are":[113,122,162],"represented":[114],"by":[115],"RPs":[117,121],"respectively.":[118],"Then,":[119],"these":[120],"as":[124],"dataset":[126],"train":[128],"residual":[130],"(ResNet).":[133],"process,":[136],"transfer":[138],"learning":[139],"speed":[143],"up":[144,152],"convergence.":[145],"precision":[149],"97.6%.":[154],"Finally,":[155],"different":[156],"encoding":[157],"methods":[158],"classification":[160],"networks":[161],"comparative":[165],"experiments,":[166],"resultant":[169],"ResNet":[170],"applied":[172],"supercavitating":[179],"vehicle":[180],"motion":[181],"two":[183],"hyperchaotic":[184],"systems.":[185],"experimental":[187],"demonstrate":[189],"effectiveness":[191],"proposed":[194],"method.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}