{"id":"https://openalex.org/W3001423250","doi":"https://doi.org/10.1109/access.2020.2968508","title":"An Improved Parallel MDBN With AVMD for Nonlinear System Modeling","display_name":"An Improved Parallel MDBN With AVMD for Nonlinear System Modeling","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3001423250","doi":"https://doi.org/10.1109/access.2020.2968508","mag":"3001423250"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2968508","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2968508","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08964400.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08964400.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044835196","display_name":"Qibing Jin","orcid":"https://orcid.org/0000-0002-8898-5064"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qibing Jin","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8898-5064","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101842318","display_name":"Hengyu Zhang","orcid":"https://orcid.org/0000-0001-6046-2600"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengyu Zhang","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6046-2600","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100421229","display_name":"Yuming Zhang","orcid":"https://orcid.org/0000-0001-8742-433X"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuming Zhang","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8742-433X","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028207496","display_name":"Wu Cai","orcid":"https://orcid.org/0000-0002-5853-1619"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wu Cai","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5853-1619","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037826950","display_name":"Meixuan Chi","orcid":"https://orcid.org/0000-0002-8232-1902"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meixuan Chi","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8232-1902","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I75390827"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.5831,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.64908533,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"8","issue":null,"first_page":"18408","last_page":"18419"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12810","display_name":"Real-time simulation and control systems","score":0.986299991607666,"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/T12810","display_name":"Real-time simulation and control systems","score":0.986299991607666,"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/T10320","display_name":"Neural Networks and Applications","score":0.9854999780654907,"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"}},{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9850000143051147,"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":0.6255122423171997},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5204734802246094},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.33672627806663513},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09043747186660767}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6255122423171997},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5204734802246094},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.33672627806663513},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09043747186660767},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2968508","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2968508","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08964400.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:117c2219b7534edc843008a3f50f1836","is_oa":true,"landing_page_url":"https://doaj.org/article/117c2219b7534edc843008a3f50f1836","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 18408-18419 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2968508","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2968508","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08964400.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4793972535","display_name":null,"funder_award_id":"XK1802-4","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7159198718","display_name":null,"funder_award_id":"XK1802","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7385471556","display_name":null,"funder_award_id":"XK1802-4","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G799272634","display_name":null,"funder_award_id":"61673004","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"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3001423250.pdf","grobid_xml":"https://content.openalex.org/works/W3001423250.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W44815768","https://openalex.org/W142185896","https://openalex.org/W1161601223","https://openalex.org/W1868559974","https://openalex.org/W1887006513","https://openalex.org/W1972581513","https://openalex.org/W1973237440","https://openalex.org/W1983236527","https://openalex.org/W1993882792","https://openalex.org/W2000982976","https://openalex.org/W2016258134","https://openalex.org/W2036599383","https://openalex.org/W2059050978","https://openalex.org/W2083022762","https://openalex.org/W2087017943","https://openalex.org/W2095548803","https://openalex.org/W2100495367","https://openalex.org/W2108604074","https://openalex.org/W2116064496","https://openalex.org/W2136922672","https://openalex.org/W2138857742","https://openalex.org/W2152623177","https://openalex.org/W2152808281","https://openalex.org/W2165991108","https://openalex.org/W2263928265","https://openalex.org/W2283544056","https://openalex.org/W2507360217","https://openalex.org/W2509426069","https://openalex.org/W2554249763","https://openalex.org/W2560760489","https://openalex.org/W2565516711","https://openalex.org/W2592844773","https://openalex.org/W2604864721","https://openalex.org/W2734578307","https://openalex.org/W2766541071","https://openalex.org/W2767893839","https://openalex.org/W2789527575","https://openalex.org/W2800893679","https://openalex.org/W2801723110","https://openalex.org/W2805059191","https://openalex.org/W2889862419","https://openalex.org/W2896314053","https://openalex.org/W2907556374","https://openalex.org/W2961333734","https://openalex.org/W3195133498","https://openalex.org/W4205940976","https://openalex.org/W4231109964","https://openalex.org/W6601785968","https://openalex.org/W6605753235","https://openalex.org/W6680300913"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Nonlinear":[0],"system":[1,178],"modeling":[2,79],"using":[3,101],"Deep":[4,64],"Belief":[5,65],"Network":[6],"(DBN)":[7],"is":[8,76,93,122,172],"currently":[9],"a":[10,61,89,96,109,175,180,185],"research":[11],"hotspot.":[12],"However,":[13],"the":[14,28,34,45,83,131,139,142,148,155,162,165,167,194],"training":[15],"process":[16],"of":[17,22,36,99,111,133,141,164,203,210],"DBN":[18,30,47],"needs":[19],"large":[20],"amount":[21],"data":[23],"to":[24,124,129,147,153,160],"guarantee":[25],"accuracy,":[26],"and":[27,48,54,120,184],"traditional":[29],"may":[31],"not":[32],"meet":[33],"requirement":[35],"high-precision":[37],"modeling.":[38],"In":[39,158],"this":[40,56],"paper,":[41],"we":[42,58],"first":[43],"improve":[44],"original":[46],"Variational":[49,70],"Mode":[50,71],"Decomposition":[51,72],"(VMD)":[52],"algorithms,":[53],"on":[55,82,174],"basis,":[57],"then":[59],"proposed":[60,168,195],"parallel":[62,169,196],"Momentum":[63],"Networks":[66],"(MDBN)":[67],"with":[68],"Adaptive":[69],"(AVMD).":[73],"Parallel":[74],"AVMD-MDBN":[75,170,197],"an":[77],"improved":[78,112],"method":[80],"based":[81],"deep":[84],"learning":[85,118,206],"model":[86,119,171],"DBN.":[87],"Firstly,":[88],"single":[90,115],"raw":[91,116],"dataset":[92,117],"decomposed":[94],"into":[95],"specific":[97],"number":[98,110],"sub-datasets":[100,105,135],"AVMD.":[102],"Then":[103],"these":[104],"are":[106,145],"distributed":[107],"among":[108],"MDBNs.":[113],"A":[114],"algorithm":[121],"extended":[123],"multiple":[125,134,143],"feature":[126,150,205],"extraction":[127,151],"nodes":[128,144],"learn":[130],"characteristics":[132],"in":[136,201],"parallel.":[137],"Finally,":[138],"results":[140,191],"transmitted":[146],"main":[149],"node":[152],"complete":[154],"regression":[156],"calculation.":[157],"order":[159],"verify":[161],"effectiveness":[163],"model,":[166],"tested":[173],"nonlinear":[176],"dynamic":[177],"modeling,":[179],"Mackey-Glass":[181],"time-series":[182],"prediction":[183],"financial":[186],"stock":[187],"prediction.":[188],"Our":[189],"experimental":[190],"show":[192],"that":[193,209],"has":[198],"better":[199],"performances":[200],"terms":[202],"improving":[204],"ability":[207],"than":[208],"other":[211],"methods.":[212]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
