{"id":"https://openalex.org/W2935629226","doi":"https://doi.org/10.3906/elk-1802-40","title":"A novel hybrid teaching-learning-based optimization algorithm for the classification of data by using extreme learning machines","display_name":"A novel hybrid teaching-learning-based optimization algorithm for the classification of data by using extreme learning machines","publication_year":2019,"publication_date":"2019-03-22","ids":{"openalex":"https://openalex.org/W2935629226","doi":"https://doi.org/10.3906/elk-1802-40","mag":"2935629226"},"language":"en","primary_location":{"id":"doi:10.3906/elk-1802-40","doi":"https://doi.org/10.3906/elk-1802-40","is_oa":true,"landing_page_url":"https://doi.org/10.3906/elk-1802-40","pdf_url":null,"source":{"id":"https://openalex.org/S32837994","display_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","issn_l":"1300-0632","issn":["1300-0632","1303-6203"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","ddh","doaj","dongbi-c","poland-40","russia-white-list-3","tr-dizin"],"host_organization":"https://openalex.org/P4310318422","host_organization_name":"Scientific and Technological Research Council of Turkey (TUBITAK)","host_organization_lineage":["https://openalex.org/P4310318422"],"host_organization_lineage_names":["Scientific and Technological Research Council of Turkey (TUBITAK)"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING &amp; COMPUTER SCIENCES","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.3906/elk-1802-40","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027110712","display_name":"Ender Sevin\u00e7","orcid":"https://orcid.org/0000-0001-7670-722X","observed_orcids":["https://orcid.org/0000-0001-7670-722X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"ENDER SEV\u0130N\u00c7","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-7670-722X","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5073624493","display_name":"Tansel D\u00f6kero\u011flu","orcid":"https://orcid.org/0000-0003-1665-5928","observed_orcids":["https://orcid.org/0000-0003-1665-5928"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"TANSEL D\u00d6KERO\u011eLU","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-1665-5928","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5092,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.84877975,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1523","last_page":"1533"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.6704000234603882,"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":0.6704000234603882,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.31859999895095825,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.000699999975040555,"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/teaching-learning-based-optimization","display_name":"teaching-learning-based optimization","score":0.9869999885559082},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"extreme learning machine","score":0.8479999899864197},{"id":"https://openalex.org/keywords/hybrid-metaheuristic-algorithm","display_name":"hybrid metaheuristic","score":0.8640000224113464},{"id":"https://openalex.org/keywords/data-classification","display_name":"data classification","score":0.9829999804496765},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.5950000286102295},{"id":"https://openalex.org/keywords/binary-classification","display_name":"binary classification","score":0.5759999752044678},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"multi-class classification","score":0.9570000171661377},{"id":"https://openalex.org/keywords/uci-benchmark-datasets","display_name":"UCI benchmark datasets","score":0.8399999737739563}],"concepts":[{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.8298375606536865},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7013666033744812},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.6901593208312988},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6793085336685181},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5685549974441528},{"id":"https://openalex.org/C2780724565","wikidata":"https://www.wikidata.org/wiki/Q5227256","display_name":"Data classification","level":2,"score":0.552240252494812},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5464481711387634},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5187842845916748},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43873023986816406},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3625781238079071},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.15603995323181152},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3906/elk-1802-40","doi":"https://doi.org/10.3906/elk-1802-40","is_oa":true,"landing_page_url":"https://doi.org/10.3906/elk-1802-40","pdf_url":null,"source":{"id":"https://openalex.org/S32837994","display_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","issn_l":"1300-0632","issn":["1300-0632","1303-6203"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","ddh","doaj","dongbi-c","poland-40","russia-white-list-3","tr-dizin"],"host_organization":"https://openalex.org/P4310318422","host_organization_name":"Scientific and Technological Research Council of Turkey (TUBITAK)","host_organization_lineage":["https://openalex.org/P4310318422"],"host_organization_lineage_names":["Scientific and Technological Research Council of Turkey (TUBITAK)"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING &amp; COMPUTER SCIENCES","raw_type":"journal-article"},{"id":"pmh:oai:dergipark.org.tr:article/574617","doi":null,"is_oa":false,"landing_page_url":"https://dergipark.org.tr/tr/pub/tbtkelektrik/issue/45636/574617","pdf_url":null,"source":{"id":"https://openalex.org/S4306401840","display_name":"DergiPark (Istanbul University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67581229","host_organization_name":"Istanbul University","host_organization_lineage":["https://openalex.org/I67581229"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"\\n Volume: 27, Issue: 2\\n 1523-1533\\n \\n","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.3906/elk-1802-40","doi":"https://doi.org/10.3906/elk-1802-40","is_oa":true,"landing_page_url":"https://doi.org/10.3906/elk-1802-40","pdf_url":null,"source":{"id":"https://openalex.org/S32837994","display_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","issn_l":"1300-0632","issn":["1300-0632","1303-6203"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","ddh","doaj","dongbi-c","poland-40","russia-white-list-3","tr-dizin"],"host_organization":"https://openalex.org/P4310318422","host_organization_name":"Scientific and Technological Research Council of Turkey (TUBITAK)","host_organization_lineage":["https://openalex.org/P4310318422"],"host_organization_lineage_names":["Scientific and Technological Research Council of Turkey (TUBITAK)"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING &amp; COMPUTER SCIENCES","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7101002298","https://openalex.org/W2187574391","https://openalex.org/W3206937469","https://openalex.org/W2607747938","https://openalex.org/W4225275496","https://openalex.org/W2138260443","https://openalex.org/W2107344437","https://openalex.org/W2954879441","https://openalex.org/W2488522966","https://openalex.org/W52021866"],"abstract_inverted_index":{"Data":[0],"classification":[1,101,131],"is":[2,65,107,120],"the":[3,14,31,34,57,97],"process":[4],"of":[5,36,59,99,112,118],"organizing":[6],"data":[7,15,37,100,130],"by":[8,23],"relevant":[9],"categories.":[10],"In":[11,81],"this":[12,52,82],"way,":[13],"can":[16],"be":[17,48,74,123],"understood":[18],"and":[19,55,128],"used":[20],"more":[21],"efficiently":[22],"scientists.":[24],"Numerous":[25],"studies":[26],"have":[27],"been":[28,71],"proposed":[29,104],"in":[30],"literature":[32],"for":[33,77,96,125],"problem":[35,54],"classification.":[38],"However,":[39],"with":[40,91,134],"recently":[41],"introduced":[42],"metaheuristics,":[43],"it":[44],"has":[45,70],"continued":[46],"to":[47,50,73,122],"riveting":[49],"revisit":[51],"classical":[53],"investigate":[56],"efficiency":[58],"new":[60],"techniques.":[61],"Teaching-learning-based":[62],"optimization":[63,79],"(TLBO)":[64],"a":[66,86,110],"recent":[67],"metaheuristic":[68],"that":[69],"reported":[72],"very":[75],"effective":[76],"combinatorial":[78],"problems.":[80,102],"study,":[83],"we":[84],"propose":[85],"novel":[87],"hybrid":[88],"TLBO":[89],"algorithm":[90,105],"extreme":[92],"learning":[93],"machines":[94],"(ELM)":[95],"solution":[98],"The":[103,116],"(TLBO-ELM)":[106],"tested":[108],"on":[109],"set":[111],"UCI":[113],"benchmark":[114],"datasets.":[115],"performance":[117],"TLBO-ELM":[119],"observed":[121],"competitive":[124],"both":[126],"binary":[127],"multiclass":[129],"problems":[132],"compared":[133],"state-of-the-art":[135],"algorithms.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4}],"updated_date":"2026-10-09T09:14:12.587421","created_date":"2019-04-11T00:00:00"}
