{"id":"https://openalex.org/W2107695871","doi":"https://doi.org/10.1109/apccas.2008.4746040","title":"An extreme learning machine approach for training Time Variant Neural Networks","display_name":"An extreme learning machine approach for training Time Variant Neural Networks","publication_year":2008,"publication_date":"2008-11-01","ids":{"openalex":"https://openalex.org/W2107695871","doi":"https://doi.org/10.1109/apccas.2008.4746040","mag":"2107695871"},"language":"en","primary_location":{"id":"doi:10.1109/apccas.2008.4746040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apccas.2008.4746040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems","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/A5097668513","display_name":"Cristiano Cingolani","orcid":null},"institutions":[{"id":"https://openalex.org/I122534668","display_name":"Marche Polytechnic University","ror":"https://ror.org/00x69rs40","country_code":"IT","type":"education","lineage":["https://openalex.org/I122534668"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Cristiano Cingolani","raw_affiliation_strings":["Dipartimento di Elettronica, Intelligenza Artificiale e Telecomunicazioni, Universit\u00e1 Politecnica delle Marche, Ancona, Italy","Dipt. di Elettron., Univ. Politec. delle Marche, Ancona"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica, Intelligenza Artificiale e Telecomunicazioni, Universit\u00e1 Politecnica delle Marche, Ancona, Italy","institution_ids":["https://openalex.org/I122534668"]},{"raw_affiliation_string":"Dipt. di Elettron., Univ. Politec. delle Marche, Ancona","institution_ids":["https://openalex.org/I122534668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034253968","display_name":"Stefano Squartini","orcid":"https://orcid.org/0000-0001-9374-0128"},"institutions":[{"id":"https://openalex.org/I122534668","display_name":"Marche Polytechnic University","ror":"https://ror.org/00x69rs40","country_code":"IT","type":"education","lineage":["https://openalex.org/I122534668"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefano Squartini","raw_affiliation_strings":["Dipartimento di Elettronica, Intelligenza Artificiale e Telecomunicazioni, Universit\u00e1 Politecnica delle Marche, Ancona, Italy","Dipt. di Elettron., Univ. Politec. delle Marche, Ancona"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica, Intelligenza Artificiale e Telecomunicazioni, Universit\u00e1 Politecnica delle Marche, Ancona, Italy","institution_ids":["https://openalex.org/I122534668"]},{"raw_affiliation_string":"Dipt. di Elettron., Univ. Politec. delle Marche, Ancona","institution_ids":["https://openalex.org/I122534668"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004758092","display_name":"Francesco Piazza","orcid":"https://orcid.org/0000-0003-0205-3790"},"institutions":[{"id":"https://openalex.org/I122534668","display_name":"Marche Polytechnic University","ror":"https://ror.org/00x69rs40","country_code":"IT","type":"education","lineage":["https://openalex.org/I122534668"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Piazza","raw_affiliation_strings":["Dipartimento di Elettronica, Intelligenza Artificiale e Telecomunicazioni, Universit\u00e1 Politecnica delle Marche, Ancona, Italy","Dipt. di Elettron., Univ. Politec. delle Marche, Ancona"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica, Intelligenza Artificiale e Telecomunicazioni, Universit\u00e1 Politecnica delle Marche, Ancona, Italy","institution_ids":["https://openalex.org/I122534668"]},{"raw_affiliation_string":"Dipt. di Elettron., Univ. Politec. delle Marche, Ancona","institution_ids":["https://openalex.org/I122534668"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5097668513"],"corresponding_institution_ids":["https://openalex.org/I122534668"],"apc_list":null,"apc_paid":null,"fwci":1.7562,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.8792175,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"384","last_page":"387"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":1.0,"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/T12676","display_name":"Machine Learning and ELM","score":1.0,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.9947999715805054,"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/extreme-learning-machine","display_name":"Extreme learning machine","score":0.8461730480194092},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7828353643417358},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7459154725074768},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.622070848941803},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.5575349926948547},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5297204852104187},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5192918181419373},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5044225454330444},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.44394245743751526},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08574923872947693}],"concepts":[{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.8461730480194092},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7828353643417358},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7459154725074768},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.622070848941803},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.5575349926948547},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5297204852104187},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5192918181419373},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5044225454330444},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.44394245743751526},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08574923872947693},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/apccas.2008.4746040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apccas.2008.4746040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.univpm.it:11566/47664","is_oa":false,"landing_page_url":"http://hdl.handle.net/11566/47664","pdf_url":null,"source":{"id":"https://openalex.org/S4306402571","display_name":"Universit\u00e0 Politecnica delle Marche (Universit\u00e0 Politecnica delle Marche)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122534668","host_organization_name":"Marche Polytechnic University","host_organization_lineage":["https://openalex.org/I122534668"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2111072639","https://openalex.org/W2124776405","https://openalex.org/W2127654817","https://openalex.org/W2138484437","https://openalex.org/W2141695047","https://openalex.org/W2154010977","https://openalex.org/W2155098255","https://openalex.org/W2285257517"],"related_works":["https://openalex.org/W2969890106","https://openalex.org/W1987504169","https://openalex.org/W2089434914","https://openalex.org/W2357447513","https://openalex.org/W3146965950","https://openalex.org/W2015517331","https://openalex.org/W2378845890","https://openalex.org/W2618322250","https://openalex.org/W2072057046","https://openalex.org/W2040604977"],"abstract_inverted_index":{"A":[0],"remarkable":[1],"attention":[2],"has":[3],"been":[4,114],"paid":[5],"in":[6,21,34,70,141],"the":[7,11,24,35,60,75,90,94,101,123,126,138,142],"recent":[8],"past":[9],"on":[10],"employment":[12],"of":[13,39,50,54,62,74,92,125],"suitable":[14],"neural":[15,108],"architectures":[16],"able":[17],"to":[18,121],"work":[19],"properly":[20],"non-stationary":[22],"environments:":[23],"Time":[25],"Variant":[26],"Neural":[27],"Networks":[28],"(TV-NN)":[29],"represent":[30],"a":[31,47,51],"relevant":[32],"example":[33],"field.":[36],"Such":[37],"kind":[38],"NNs":[40],"have":[41,113],"time":[42,131],"variant":[43],"weights,":[44],"each":[45],"being":[46],"linear":[48],"combination":[49],"certain":[52],"set":[53],"basis":[55],"functions.":[56],"This":[57],"inevitably":[58],"increases":[59],"number":[61],"free":[63],"parameters":[64],"w.r.t.":[65],"common":[66],"feedforward":[67],"architectures,":[68],"resulting":[69],"an":[71,81],"augmented":[72],"complexity":[73],"learning":[76,130],"procedure.":[77],"In":[78],"this":[79],"paper":[80],"Extreme":[82],"Learning":[83],"Machine":[84],"(ELM)":[85],"approach":[86,103],"is":[87],"developed":[88],"with":[89],"aim":[91],"accelerating":[93],"training":[95],"procedure":[96],"for":[97,106],"TV-NN,":[98],"by":[99],"extending":[100],"ELM":[102],"already":[104],"available":[105],"time-invariant":[107],"structures.":[109],"Some":[110],"computer":[111],"simulations":[112],"carried":[115],"out":[116],"and":[117],"related":[118],"results":[119],"seem":[120],"confirm":[122],"effectiveness":[124],"idea,":[127],"showing":[128],"that":[129],"can":[132],"be":[133],"significantly":[134],"reduced":[135],"without":[136],"affecting":[137],"NN":[139],"performances":[140],"testing":[143],"phase.":[144]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}