{"id":"https://openalex.org/W1501715230","doi":"https://doi.org/10.1109/cybconf.2015.7175907","title":"Extreme learning machine for function approximation - interval problem of input weights and biases","display_name":"Extreme learning machine for function approximation - interval problem of input weights and biases","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1501715230","doi":"https://doi.org/10.1109/cybconf.2015.7175907","mag":"1501715230"},"language":"en","primary_location":{"id":"doi:10.1109/cybconf.2015.7175907","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cybconf.2015.7175907","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 2nd International Conference on Cybernetics (CYBCONF)","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/A5038525019","display_name":"Grzegorz Dudek","orcid":"https://orcid.org/0000-0002-2285-0327"},"institutions":[{"id":"https://openalex.org/I130294970","display_name":"Cz\u0119stochowa University of Technology","ror":"https://ror.org/046awyn59","country_code":"PL","type":"education","lineage":["https://openalex.org/I130294970"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Grzegorz Dudek","raw_affiliation_strings":["Department of Electrical Engineering, Czestochowa University of Technology, Czestochowa, Poland","Department of Electrical Engineering, Czestochowa University of Technology, 42-200, Al. Armii Krajowej 17, Poland"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Czestochowa University of Technology, Czestochowa, Poland","institution_ids":["https://openalex.org/I130294970"]},{"raw_affiliation_string":"Department of Electrical Engineering, Czestochowa University of Technology, 42-200, Al. Armii Krajowej 17, Poland","institution_ids":["https://openalex.org/I130294970"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5038525019"],"corresponding_institution_ids":["https://openalex.org/I130294970"],"apc_list":null,"apc_paid":null,"fwci":2.1572,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.89612304,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"42","issue":null,"first_page":"62","last_page":"67"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9997000098228455,"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":0.9997000098228455,"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/T10320","display_name":"Neural Networks and Applications","score":0.9656999707221985,"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/T13038","display_name":"Internet of Things and AI","score":0.9449999928474426,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7856734991073608},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.6891624331474304},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.6724932193756104},{"id":"https://openalex.org/keywords/function-approximation","display_name":"Function approximation","score":0.6570249795913696},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.6278777122497559},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.621211051940918},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5687009692192078},{"id":"https://openalex.org/keywords/approximation-theory","display_name":"Approximation theory","score":0.5150611400604248},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.48798197507858276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41386646032333374},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39918065071105957},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3550541400909424},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34280526638031006},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.18222308158874512},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.0965113639831543},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08745911717414856},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06047222018241882}],"concepts":[{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.7856734991073608},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.6891624331474304},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.6724932193756104},{"id":"https://openalex.org/C91873725","wikidata":"https://www.wikidata.org/wiki/Q3445816","display_name":"Function approximation","level":3,"score":0.6570249795913696},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.6278777122497559},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.621211051940918},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5687009692192078},{"id":"https://openalex.org/C145242015","wikidata":"https://www.wikidata.org/wiki/Q774123","display_name":"Approximation theory","level":2,"score":0.5150611400604248},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.48798197507858276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41386646032333374},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39918065071105957},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3550541400909424},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34280526638031006},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.18222308158874512},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0965113639831543},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08745911717414856},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06047222018241882},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cybconf.2015.7175907","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cybconf.2015.7175907","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 2nd International Conference on Cybernetics (CYBCONF)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2026131661","https://openalex.org/W2061065224","https://openalex.org/W2111072639","https://openalex.org/W2121971770","https://openalex.org/W2141695047","https://openalex.org/W6656866805"],"related_works":["https://openalex.org/W2235525867","https://openalex.org/W2766569526","https://openalex.org/W2165420145","https://openalex.org/W1534072310","https://openalex.org/W189995875","https://openalex.org/W2132201882","https://openalex.org/W2064547980","https://openalex.org/W2156766998","https://openalex.org/W2019306084","https://openalex.org/W1965255372"],"abstract_inverted_index":{"In":[0],"this":[1],"article":[2],"the":[3,7,14,17,21,30,42,54],"approximation":[4,52],"capability":[5],"of":[6,16,53,56],"extreme":[8],"learning":[9],"machine":[10],"is":[11,34,59],"studied.":[12],"Specifically":[13],"impact":[15],"range":[18],"from":[19],"which":[20],"input":[22,43],"weights":[23,44],"and":[24,45],"biases":[25,46],"are":[26],"randomly":[27],"generated":[28],"on":[29],"fitted":[31],"curve":[32],"complexity":[33],"analyzed.":[35],"The":[36],"guidance":[37],"for":[38],"how":[39],"to":[40,47],"generate":[41],"get":[48],"good":[49],"performance":[50],"in":[51],"functions":[55],"one":[57],"variable":[58],"provided.":[60]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
