{"id":"https://openalex.org/W1559580502","doi":"https://doi.org/10.1109/cdc.2002.1184775","title":"Optimized feedforward neural networks for on-line identification of nonlinear models","display_name":"Optimized feedforward neural networks for on-line identification of nonlinear models","publication_year":2003,"publication_date":"2003-08-27","ids":{"openalex":"https://openalex.org/W1559580502","doi":"https://doi.org/10.1109/cdc.2002.1184775","mag":"1559580502"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2002.1184775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2002.1184775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 41st IEEE Conference on Decision and Control, 2002.","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/A5012147438","display_name":"A. Alessandri","orcid":"https://orcid.org/0000-0001-6878-9106"},"institutions":[{"id":"https://openalex.org/I4210146308","display_name":"Institute of Intelligent Systems for Automation","ror":"https://ror.org/051t1q308","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210146308","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"A. Alessandri","raw_affiliation_strings":["Institute of Intelligent Systems for Automation, ISSIA-CNR National Research Council of Italy, Genoa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Systems for Automation, ISSIA-CNR National Research Council of Italy, Genoa, Italy","institution_ids":["https://openalex.org/I4210146308","https://openalex.org/I4210155236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086009293","display_name":"Marcello Sanguineti","orcid":"https://orcid.org/0000-0003-0355-8483"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"M. Sanguineti","raw_affiliation_strings":["Department of Communications, Computer and System Sciences(DIST), University of Genoa, Genoa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Communications, Computer and System Sciences(DIST), University of Genoa, Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015751405","display_name":"Manfredi Maggiore","orcid":"https://orcid.org/0000-0002-6801-9272"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. Maggiore","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"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":"2","issue":null,"first_page":"1751","last_page":"1756"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9994000196456909,"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/T11236","display_name":"Control Systems and Identification","score":0.9937000274658203,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/nonlinear-system","display_name":"Nonlinear system","score":0.6670150756835938},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6347659826278687},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6097558736801147},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.58995121717453},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5759485960006714},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4947616457939148},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.4753941297531128},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.46551087498664856},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.4647971987724304},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.4640663266181946},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.4507080912590027},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.43205612897872925},{"id":"https://openalex.org/keywords/nonlinear-system-identification","display_name":"Nonlinear system identification","score":0.41731345653533936},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40856271982192993},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.38670986890792847},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34407252073287964},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28546395897865295},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23791038990020752},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.16383883357048035},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14249920845031738},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.10972413420677185}],"concepts":[{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6670150756835938},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6347659826278687},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6097558736801147},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.58995121717453},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5759485960006714},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4947616457939148},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.4753941297531128},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.46551087498664856},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.4647971987724304},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.4640663266181946},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.4507080912590027},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.43205612897872925},{"id":"https://openalex.org/C22157029","wikidata":"https://www.wikidata.org/wiki/Q17080460","display_name":"Nonlinear system identification","level":4,"score":0.41731345653533936},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40856271982192993},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.38670986890792847},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34407252073287964},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28546395897865295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23791038990020752},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.16383883357048035},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14249920845031738},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.10972413420677185},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cdc.2002.1184775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2002.1184775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 41st IEEE Conference on Decision and Control, 2002.","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unige.it:11567/259140","is_oa":false,"landing_page_url":"https://hdl.handle.net/11567/259140","pdf_url":null,"source":{"id":"https://openalex.org/S4377196291","display_name":"CINECA IRIS Institutial Research Information System (University of Genoa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83816512","host_organization_name":"University of Genoa","host_organization_lineage":["https://openalex.org/I83816512"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2062803420","https://openalex.org/W2078491101","https://openalex.org/W2098524340","https://openalex.org/W2132314398","https://openalex.org/W2150035213","https://openalex.org/W2153714959","https://openalex.org/W2158581396","https://openalex.org/W2165575601","https://openalex.org/W2166116275","https://openalex.org/W4237171445"],"related_works":["https://openalex.org/W2115072676","https://openalex.org/W97768505","https://openalex.org/W2918103456","https://openalex.org/W2080531293","https://openalex.org/W4311212821","https://openalex.org/W2045727192","https://openalex.org/W1939602702","https://openalex.org/W2023914354","https://openalex.org/W2102065768","https://openalex.org/W2540883726"],"abstract_inverted_index":{"Optimization":[0],"of":[1,4,17,34,37,56,77,110,115],"a":[2,29,40,45,69],"class":[3],"nonlinear":[5,18,111],"approximators":[6],"corresponding":[7],"to":[8,48,68,85],"feedforward":[9],"neural":[10],"networks":[11],"is":[12],"investigated":[13],"for":[14,104],"on-line":[15],"identification":[16,109],"models":[19],"in":[20,50,107],"high-dimensional":[21],"settings.":[22],"The":[23,53,72,113],"parameters":[24,106],"are":[25,83,119],"optimized":[26],"by":[27],"minimizing":[28],"cost":[30],"function,":[31],"which":[32],"consists":[33],"the":[35,51,57,61,99,116],"summation":[36],"two":[38,58],"terms:":[39],"fitting":[41],"penalty":[42],"term":[43,46],"and":[44,79,95],"related":[47],"changes":[49],"parameters.":[52],"relative":[54],"influence":[55],"terms":[59],"on":[60,98],"overall":[62],"minimization":[63],"can":[64],"be":[65],"tuned,":[66],"according":[67],"proper":[70],"scalar.":[71],"resulting":[73],"algorithm":[74],"has":[75],"properties":[76],"convergence":[78],"robustness.":[80],"Simulation":[81],"results":[82],"performed":[84],"compare":[86],"its":[87],"performance":[88],"with":[89],"classical":[90],"algorithms,":[91],"such":[92],"as":[93],"back-propagation":[94],"learning":[96],"based":[97],"extended":[100],"Kalman":[101],"filter,":[102],"used":[103],"adjusting":[105],"neural-network":[108],"models.":[112],"advantages":[114],"proposed":[117],"approach":[118],"shown.":[120]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
