{"id":"https://openalex.org/W4403534428","doi":"https://doi.org/10.1109/codit62066.2024.10708182","title":"A hybrid deep learning method for controlled stochastic Kolmogorov systems with regime-switching","display_name":"A hybrid deep learning method for controlled stochastic Kolmogorov systems with regime-switching","publication_year":2024,"publication_date":"2024-07-01","ids":{"openalex":"https://openalex.org/W4403534428","doi":"https://doi.org/10.1109/codit62066.2024.10708182"},"language":"en","primary_location":{"id":"doi:10.1109/codit62066.2024.10708182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit62066.2024.10708182","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 10th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5108055775","display_name":"Yu Zhang","orcid":"https://orcid.org/0000-0002-1515-4155"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zhang","raw_affiliation_strings":["East China Normal University,Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE,School of Statistics,Shanghai,China,200062"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE,School of Statistics,Shanghai,China,200062","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071607165","display_name":"Zhuo Jin","orcid":"https://orcid.org/0000-0002-9488-2993"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zhuo Jin","raw_affiliation_strings":["Macquarie University,Department of Actuarial Studies and Business Analytics,NSW,Australia,2109"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Macquarie University,Department of Actuarial Studies and Business Analytics,NSW,Australia,2109","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030194216","display_name":"Jiaqin Wei","orcid":"https://orcid.org/0000-0002-2534-6046"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqin Wei","raw_affiliation_strings":["East China Normal University,Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE,School of Statistics,Shanghai,China,200062"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE,School of Statistics,Shanghai,China,200062","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"970","last_page":"975"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.7864000201225281,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.7864000201225281,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.7767999768257141,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.733299970626831,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6249735355377197},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4406237006187439},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4224541485309601},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3350837230682373},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.11335605382919312}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6249735355377197},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4406237006187439},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4224541485309601},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3350837230682373},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.11335605382919312}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/codit62066.2024.10708182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit62066.2024.10708182","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 10th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1979669625","https://openalex.org/W2015115811","https://openalex.org/W2028527546","https://openalex.org/W2052773335","https://openalex.org/W2052985179","https://openalex.org/W2069924416","https://openalex.org/W2070056413","https://openalex.org/W2139327166","https://openalex.org/W2163715525","https://openalex.org/W2247836589","https://openalex.org/W2341741269","https://openalex.org/W2749028154","https://openalex.org/W2754833785","https://openalex.org/W2803629276","https://openalex.org/W2962768007","https://openalex.org/W2964270739","https://openalex.org/W3021614052","https://openalex.org/W3113177434","https://openalex.org/W3116796363","https://openalex.org/W3158468492","https://openalex.org/W3191818024","https://openalex.org/W3204708751","https://openalex.org/W3211240362","https://openalex.org/W4212856891","https://openalex.org/W4221061452","https://openalex.org/W4235097295","https://openalex.org/W4280509435","https://openalex.org/W4285179069","https://openalex.org/W4302367620","https://openalex.org/W6784933669","https://openalex.org/W6857740245"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W4321369474","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W4323565446"],"abstract_inverted_index":{"In":[0],"this":[1,62],"paper,":[2],"we":[3,48,65],"employ":[4],"numerical":[5,101],"methods":[6],"based":[7],"on":[8],"deep":[9,52,69,95],"learning":[10,53,70,96],"algorithms":[11],"for":[12],"solving":[13],"controlled":[14,31,44,79,84],"stochastic":[15,45,80],"Kolmogorov":[16,32,46,81],"systems":[17,33],"with":[18],"regime-switching.":[19],"Different":[20],"from":[21],"classical":[22],"control":[23],"problems,":[24],"each":[25],"component":[26],"of":[27,42,77,91],"the":[28,38,43,58,67,89,92],"state":[29],"in":[30],"is":[34,98],"nonnegative.":[35],"Due":[36],"to":[37,55,72],"nonlinearity":[39],"and":[40],"complexity":[41],"systems,":[47],"develop":[49],"a":[50,74,78],"hybrid":[51,68,94],"method":[54,71,97],"numerically":[56],"solve":[57,73],"optimal":[59],"controls":[60],"under":[61],"system.":[63],"Subsequently,":[64],"apply":[66],"specific":[75],"case":[76],"system,":[82],"specifically":[83],"SIS":[85],"(susceptible-infected-susceptible)":[86],"systems.":[87],"Finally,":[88],"effectiveness":[90],"proposed":[93],"verified":[99],"through":[100],"results.":[102]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
