{"id":"https://openalex.org/W4310929538","doi":"https://doi.org/10.1109/iecon49645.2022.9968904","title":"Learning-on-learning approach for modeling","display_name":"Learning-on-learning approach for modeling","publication_year":2022,"publication_date":"2022-10-17","ids":{"openalex":"https://openalex.org/W4310929538","doi":"https://doi.org/10.1109/iecon49645.2022.9968904"},"language":"en","primary_location":{"id":"doi:10.1109/iecon49645.2022.9968904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon49645.2022.9968904","pdf_url":null,"source":{"id":"https://openalex.org/S4363607717","display_name":"IECON 2022 \u2013 48th Annual Conference of the IEEE Industrial Electronics Society","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2022 \u2013 48th Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-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/A5039937802","display_name":"Maide Bucolo","orcid":"https://orcid.org/0000-0003-4867-0620"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Maide Bucolo","raw_affiliation_strings":["University of Catania,Dipartimento di Ingegneria Elettrica Elettronica e Informatica,Catania,Italy","Dipartimento di Ingegneria Elettrica Elettronica e Informatica, University of Catania, Catania, Italy"],"affiliations":[{"raw_affiliation_string":"University of Catania,Dipartimento di Ingegneria Elettrica Elettronica e Informatica,Catania,Italy","institution_ids":["https://openalex.org/I39063666"]},{"raw_affiliation_string":"Dipartimento di Ingegneria Elettrica Elettronica e Informatica, University of Catania, Catania, Italy","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046098033","display_name":"Arturo Buscarino","orcid":"https://orcid.org/0000-0001-5782-8982"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Arturo Buscarino","raw_affiliation_strings":["University of Catania,Dipartimento di Ingegneria Elettrica Elettronica e Informatica,Catania,Italy","Dipartimento di Ingegneria Elettrica Elettronica e Informatica, University of Catania, Catania, Italy"],"affiliations":[{"raw_affiliation_string":"University of Catania,Dipartimento di Ingegneria Elettrica Elettronica e Informatica,Catania,Italy","institution_ids":["https://openalex.org/I39063666"]},{"raw_affiliation_string":"Dipartimento di Ingegneria Elettrica Elettronica e Informatica, University of Catania, Catania, Italy","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043670176","display_name":"Luigi Fortuna","orcid":"https://orcid.org/0000-0003-2285-2979"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luigi Fortuna","raw_affiliation_strings":["University of Catania,Dipartimento di Ingegneria Elettrica Elettronica e Informatica,Catania,Italy","Dipartimento di Ingegneria Elettrica Elettronica e Informatica, University of Catania, Catania, Italy"],"affiliations":[{"raw_affiliation_string":"University of Catania,Dipartimento di Ingegneria Elettrica Elettronica e Informatica,Catania,Italy","institution_ids":["https://openalex.org/I39063666"]},{"raw_affiliation_string":"Dipartimento di Ingegneria Elettrica Elettronica e Informatica, University of Catania, Catania, Italy","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025793088","display_name":"Gabriele Puglisi","orcid":"https://orcid.org/0009-0009-6728-7716"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gabriele Puglisi","raw_affiliation_strings":["University of Catania,Dipartimento di Ingegneria Elettrica Elettronica e Informatica,Catania,Italy","Dipartimento di Ingegneria Elettrica Elettronica e Informatica, University of Catania, Catania, Italy"],"affiliations":[{"raw_affiliation_string":"University of Catania,Dipartimento di Ingegneria Elettrica Elettronica e Informatica,Catania,Italy","institution_ids":["https://openalex.org/I39063666"]},{"raw_affiliation_string":"Dipartimento di Ingegneria Elettrica Elettronica e Informatica, University of Catania, Catania, Italy","institution_ids":["https://openalex.org/I39063666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5039937802"],"corresponding_institution_ids":["https://openalex.org/I39063666"],"apc_list":null,"apc_paid":null,"fwci":0.4162,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58794376,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9977999925613403,"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":0.9977999925613403,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9952999949455261,"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/T14470","display_name":"Advanced Data Processing Techniques","score":0.9912999868392944,"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/computer-science","display_name":"Computer science","score":0.8292760848999023},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.6934293508529663},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6604470014572144},{"id":"https://openalex.org/keywords/matlab","display_name":"MATLAB","score":0.6591768264770508},{"id":"https://openalex.org/keywords/java","display_name":"Java","score":0.5974991321563721},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5711126327514648},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5244072675704956},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.45544010400772095},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4372684359550476},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.43442195653915405},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4185532331466675},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09237822890281677},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07959136366844177}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8292760848999023},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.6934293508529663},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6604470014572144},{"id":"https://openalex.org/C2780365114","wikidata":"https://www.wikidata.org/wiki/Q169478","display_name":"MATLAB","level":2,"score":0.6591768264770508},{"id":"https://openalex.org/C548217200","wikidata":"https://www.wikidata.org/wiki/Q251","display_name":"Java","level":2,"score":0.5974991321563721},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5711126327514648},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5244072675704956},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.45544010400772095},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4372684359550476},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.43442195653915405},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4185532331466675},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09237822890281677},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07959136366844177},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon49645.2022.9968904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon49645.2022.9968904","pdf_url":null,"source":{"id":"https://openalex.org/S4363607717","display_name":"IECON 2022 \u2013 48th Annual Conference of the IEEE Industrial Electronics Society","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2022 \u2013 48th Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1569512666","https://openalex.org/W1976774350","https://openalex.org/W2006275398","https://openalex.org/W2610562402","https://openalex.org/W3128412723","https://openalex.org/W3213278639","https://openalex.org/W4211180104","https://openalex.org/W4226525319","https://openalex.org/W6686820198"],"related_works":["https://openalex.org/W2980163522","https://openalex.org/W4226047925","https://openalex.org/W2115605526","https://openalex.org/W2110035298","https://openalex.org/W3093883775","https://openalex.org/W1539246760","https://openalex.org/W2786746258","https://openalex.org/W4225893763","https://openalex.org/W2788727425","https://openalex.org/W2405196115"],"abstract_inverted_index":{"Neural":[0],"networks":[1,63,102],"based":[2],"on":[3],"back-propagation":[4],"learning":[5,85,131],"algorithms":[6,10],"and":[7,14],"gradient":[8],"descent":[9],"are":[11,23],"the":[12,15,47,58,81,84,89,107,113,125,129,145,148],"first":[13],"easiest":[16],"tools":[17],"developed":[18],"for":[19],"machine":[20],"learning.":[21],"They":[22],"still":[24],"widespread":[25],"nowadays,":[26],"so":[27,29],"much":[28],"by":[30,87],"exploiting":[31,88],"a":[32,96],"huge":[33],"number":[34,98],"of":[35,49,71,83,91,99,112,138,147],"different":[36],"coding":[37],"languages,":[38],"between":[39],"which":[40,103],"MatLab,":[41],"Python":[42],"or":[43],"Java,":[44],"we":[45],"have":[46],"possibility":[48],"using":[50],"these":[51,60],"training":[52],"tools.":[53],"But":[54],"as":[55],"highlighted":[56],"in":[57,116,120],"past,":[59],"traditional":[61,130],"neural":[62,101],"suffer":[64],"from":[65,141],"their":[66],"slow":[67],"convergence":[68],"rate.":[69],"Aim":[70],"this":[72],"paper":[73],"is":[74,118],"to":[75,79,94,122,136],"revisit":[76],"an":[77],"algorithm":[78,115],"improve":[80],"speed":[82],"phase,":[86],"power":[90],"parallel":[92],"computing":[93],"train":[95],"suitable":[97],"auxiliary":[100],"work":[104],"concurrently":[105],"with":[106,128],"principal":[108],"network.":[109],"The":[110],"implementation":[111],"proposed":[114,149],"MatLab":[117],"shown":[119],"order":[121],"make":[123],"evident":[124],"main":[126],"difference":[127],"algorithms.":[132],"Several":[133],"examples,":[134],"related":[135],"modeling":[137],"technological":[139],"datasets":[140],"industrial":[142],"environment,":[143],"confirm":[144],"suitability":[146],"procedure.":[150]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
