{"id":"https://openalex.org/W2735080679","doi":"https://doi.org/10.1145/3067695.3076088","title":"An upgraded bat algorithm for tuning extreme learning machines for data classification","display_name":"An upgraded bat algorithm for tuning extreme learning machines for data classification","publication_year":2017,"publication_date":"2017-07-11","ids":{"openalex":"https://openalex.org/W2735080679","doi":"https://doi.org/10.1145/3067695.3076088","mag":"2735080679"},"language":"en","primary_location":{"id":"doi:10.1145/3067695.3076088","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3067695.3076088","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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/A5035328178","display_name":"Adis Alihod\u017ei\u0107","orcid":"https://orcid.org/0000-0003-0761-1667"},"institutions":[{"id":"https://openalex.org/I104817121","display_name":"University of Sarajevo","ror":"https://ror.org/02hhwgd43","country_code":"BA","type":"education","lineage":["https://openalex.org/I104817121"]}],"countries":["BA"],"is_corresponding":false,"raw_author_name":"Adis Alihodzic","raw_affiliation_strings":["University of Sarajevo, Sarajevo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sarajevo, Sarajevo","institution_ids":["https://openalex.org/I104817121"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050579174","display_name":"Eva Tuba","orcid":"https://orcid.org/0000-0003-4866-9048"},"institutions":[{"id":"https://openalex.org/I4068193","display_name":"University of Belgrade","ror":"https://ror.org/02qsmb048","country_code":"RS","type":"education","lineage":["https://openalex.org/I4068193"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Eva Tuba","raw_affiliation_strings":["University of Belgrade, Belgrade, Serbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Belgrade, Belgrade, Serbia","institution_ids":["https://openalex.org/I4068193"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067245090","display_name":"Milan Tuba","orcid":"https://orcid.org/0000-0003-3794-3056"},"institutions":[{"id":"https://openalex.org/I159365519","display_name":"Megatrend University","ror":"https://ror.org/02ffca462","country_code":"RS","type":"education","lineage":["https://openalex.org/I159365519"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Milan Tuba","raw_affiliation_strings":["Jonh Naisbitt University, Belgrade, Serbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jonh Naisbitt University, Belgrade, Serbia","institution_ids":["https://openalex.org/I159365519"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"125","last_page":"126"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9904000163078308,"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":0.9829999804496765,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7048537731170654},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.6214284896850586},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41724759340286255},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41624316573143005},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40551772713661194},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09811803698539734}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7048537731170654},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.6214284896850586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41724759340286255},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41624316573143005},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40551772713661194},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09811803698539734}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3067695.3076088","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3067695.3076088","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":11,"referenced_works":["https://openalex.org/W1984530193","https://openalex.org/W1985748408","https://openalex.org/W2033179381","https://openalex.org/W2055429730","https://openalex.org/W2108604074","https://openalex.org/W2111072639","https://openalex.org/W2506530651","https://openalex.org/W2558059637","https://openalex.org/W2927356562","https://openalex.org/W2963103847","https://openalex.org/W3120740533"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W2969890106","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W2905251838","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"The":[0,54,84],"learning":[1,21,30,33,52,125],"time":[2],"of":[3,37,76],"the":[4,20,34,38,45,50,61,68,73,101,117,123],"synaptic":[5,35],"weights":[6,36,64],"for":[7,32,60],"feedforward":[8,40],"neural":[9,41,82],"networks":[10,42],"tend":[11],"to":[12,18,72,79],"be":[13],"very":[14],"long.":[15],"In":[16],"order":[17],"reduce":[19],"time,":[22],"in":[23,108],"this":[24],"paper":[25],"we":[26],"propose":[27],"a":[28,81,105],"new":[29],"algorithm":[31,48,103],"single-hidden-layer":[39],"by":[43],"combining":[44],"upgraded":[46],"bat":[47],"with":[49,93],"extreme":[51],"machine.":[53],"proposed":[55,102],"approach":[56],"can":[57,115],"efficiently":[58],"search":[59],"optimal":[62],"input":[63],"as":[65,67],"well":[66],"hidden":[69],"biases,":[70],"leading":[71],"reduced":[74],"number":[75],"evaluations":[77],"needed":[78],"train":[80],"network.":[83],"experimental":[85],"results":[86],"based":[87],"on":[88],"classification":[89],"problems":[90],"and":[91,112],"comparison":[92],"other":[94],"approaches":[95],"from":[96],"literature":[97],"have":[98],"shown":[99],"that":[100,113],"produces":[104],"satisfactory":[106],"performance":[107],"almost":[109],"all":[110],"cases":[111],"it":[114],"learn":[116],"weight":[118],"factors":[119],"much":[120],"faster":[121],"than":[122],"traditional":[124],"algorithms.":[126]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
