{"id":"https://openalex.org/W4384934650","doi":"https://doi.org/10.1007/s44196-023-00296-5","title":"A Hybrid Strategy Enhanced Sub-Sampled Recursive Second Order Algorithm for Chemical Process Intelligent Identification","display_name":"A Hybrid Strategy Enhanced Sub-Sampled Recursive Second Order Algorithm for Chemical Process Intelligent Identification","publication_year":2023,"publication_date":"2023-07-20","ids":{"openalex":"https://openalex.org/W4384934650","doi":"https://doi.org/10.1007/s44196-023-00296-5"},"language":"en","primary_location":{"id":"doi:10.1007/s44196-023-00296-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-023-00296-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-023-00296-5.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s44196-023-00296-5.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119272056","display_name":"Yaxin Wang","orcid":"https://orcid.org/0000-0002-0170-4881"},"institutions":[{"id":"https://openalex.org/I204553293","display_name":"China University of Petroleum, Beijing","ror":"https://ror.org/041qf4r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I204553293"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaxin Wang","raw_affiliation_strings":["College of Information Science and Engineering, China University of Petroleum, Beijing, 102249, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, China University of Petroleum, Beijing, 102249, China","institution_ids":["https://openalex.org/I204553293"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101742345","display_name":"Baochang Xu","orcid":"https://orcid.org/0000-0002-5439-539X"},"institutions":[{"id":"https://openalex.org/I204553293","display_name":"China University of Petroleum, Beijing","ror":"https://ror.org/041qf4r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I204553293"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Baochang Xu","raw_affiliation_strings":["College of Information Science and Engineering, China University of Petroleum, Beijing, 102249, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, China University of Petroleum, Beijing, 102249, China","institution_ids":["https://openalex.org/I204553293"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101742345"],"corresponding_institution_ids":["https://openalex.org/I204553293"],"apc_list":{"value":1390,"currency":"GBP","value_usd":1704},"apc_paid":{"value":1390,"currency":"GBP","value_usd":1704},"fwci":0.1717,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44770974,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"16","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9994000196456909,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9994000196456909,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9980000257492065,"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/T11081","display_name":"Advanced Control Systems Design","score":0.9973000288009644,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hessian-matrix","display_name":"Hessian matrix","score":0.857658863067627},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7052415013313293},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.660074770450592},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6196650266647339},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6196020841598511},{"id":"https://openalex.org/keywords/recursion","display_name":"Recursion (computer science)","score":0.6158017516136169},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6048927307128906},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5066676735877991},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.41527092456817627},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.41269704699516296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2653477191925049},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19813084602355957},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.12137898802757263}],"concepts":[{"id":"https://openalex.org/C203616005","wikidata":"https://www.wikidata.org/wiki/Q620495","display_name":"Hessian matrix","level":2,"score":0.857658863067627},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7052415013313293},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.660074770450592},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6196650266647339},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6196020841598511},{"id":"https://openalex.org/C168773036","wikidata":"https://www.wikidata.org/wiki/Q264164","display_name":"Recursion (computer science)","level":2,"score":0.6158017516136169},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6048927307128906},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5066676735877991},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.41527092456817627},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.41269704699516296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2653477191925049},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19813084602355957},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.12137898802757263},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44196-023-00296-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-023-00296-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-023-00296-5.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4de56a35847846edb5522456ca8a487e","is_oa":true,"landing_page_url":"https://doaj.org/article/4de56a35847846edb5522456ca8a487e","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":"International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-20 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44196-023-00296-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-023-00296-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-023-00296-5.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G333697347","display_name":null,"funder_award_id":"ZLZX2020-03","funder_id":"https://openalex.org/F4320321547","funder_display_name":"China University of Petroleum, Beijing"},{"id":"https://openalex.org/G616635388","display_name":null,"funder_award_id":"ZLZX2020","funder_id":"https://openalex.org/F4320321547","funder_display_name":"China University of Petroleum, Beijing"}],"funders":[{"id":"https://openalex.org/F4320321547","display_name":"China University of Petroleum, Beijing","ror":"https://ror.org/041qf4r12"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4384934650.pdf"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1629102637","https://openalex.org/W1959255040","https://openalex.org/W1972702299","https://openalex.org/W1993589255","https://openalex.org/W1993840140","https://openalex.org/W2009321323","https://openalex.org/W2064675550","https://openalex.org/W2066512051","https://openalex.org/W2095133175","https://openalex.org/W2221538265","https://openalex.org/W2226390861","https://openalex.org/W2534802455","https://openalex.org/W2536090897","https://openalex.org/W2735778951","https://openalex.org/W2736591037","https://openalex.org/W2754157234","https://openalex.org/W2783919261","https://openalex.org/W2786583476","https://openalex.org/W2797791799","https://openalex.org/W2963397933","https://openalex.org/W2963433607","https://openalex.org/W2965450285","https://openalex.org/W2966917320","https://openalex.org/W2980088075","https://openalex.org/W2983686510","https://openalex.org/W3015966228","https://openalex.org/W3085522432","https://openalex.org/W3112602021","https://openalex.org/W3136021864","https://openalex.org/W3146977894","https://openalex.org/W3148417208","https://openalex.org/W3163628196","https://openalex.org/W3177301477","https://openalex.org/W3196482499","https://openalex.org/W4200544831","https://openalex.org/W4206700643","https://openalex.org/W4207073938","https://openalex.org/W4225275254","https://openalex.org/W4225592906","https://openalex.org/W4292819336","https://openalex.org/W4293068799","https://openalex.org/W4294568653","https://openalex.org/W4308906783","https://openalex.org/W4309120572","https://openalex.org/W4315486590","https://openalex.org/W4317378116","https://openalex.org/W4319298225","https://openalex.org/W4360611243","https://openalex.org/W4377098030"],"related_works":["https://openalex.org/W2611031068","https://openalex.org/W1704347466","https://openalex.org/W1996936972","https://openalex.org/W4283017538","https://openalex.org/W1545275724","https://openalex.org/W2802707792","https://openalex.org/W2569979269","https://openalex.org/W2075777916","https://openalex.org/W3021699548","https://openalex.org/W2015677538"],"abstract_inverted_index":{"Abstract":[0],"The":[1,114],"accurate":[2],"dynamic":[3],"model":[4,143],"of":[5,17,62,84,92,142],"the":[6,14,21,59,63,76,80,85,89,124,163,170],"chemical":[7,41,93],"process":[8,42,94,172],"is":[9,38,51,72,112,173],"an":[10,26],"important":[11],"condition":[12],"for":[13,31,40],"successful":[15],"implementation":[16],"advanced":[18],"control":[19],"in":[20,140,169],"plant.":[22],"In":[23],"this":[24],"paper,":[25],"efficient":[27],"second":[28,65,99,129],"order":[29,66,130],"algorithm":[30,104,132],"long":[32],"short-term":[33],"memory":[34],"(LSTM)":[35],"network":[36,128],"training":[37,131,161,178],"proposed":[39,77,125],"intelligent":[43],"identification.":[44],"A":[45],"novel":[46],"Hessian":[47,156,165],"inverse":[48,157,166],"recursion":[49],"method":[50,78,108],"adopted":[52],"to":[53],"achieve":[54],"fast":[55],"convergence":[56,147],"and":[57,109,146,179],"avoid":[58],"high-cost":[60],"operation":[61],"classic":[64],"optimization":[67],"method.":[68],"Besides,":[69],"more":[70],"information":[71,83],"back":[73],"propagated":[74],"since":[75],"retains":[79],"real":[81],"curvature":[82],"neural":[86,127],"network.":[87],"Considering":[88],"large":[90],"amount":[91],"data,":[95],"a":[96,118,151],"sub-sampled":[97,126],"recursive":[98],"order-stochastic":[100],"gradient":[101],"descent":[102],"(SRSO-SGD)":[103],"which":[105],"uses":[106],"sub-sampling":[107],"hybrid":[110,152],"strategy":[111,153],"proposed.":[113],"identification":[115,144,171],"experiment":[116],"on":[117],"delayed":[119],"coker":[120],"fractionator":[121],"shows":[122],"that":[123,154],"has":[133],"better":[134],"performance":[135],"than":[136],"other":[137],"learning":[138],"algorithms":[139],"terms":[141],"accuracy":[145],"speed.":[148],"By":[149],"adopting":[150],"performing":[155],"estimation":[158],"every":[159],"3":[160],"epochs,":[162],"expensive":[164],"calculation":[167],"cost":[168],"further":[174],"reduced":[175],"while":[176],"low":[177],"testing":[180],"errors":[181],"are":[182],"maintained.":[183]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}
