{"id":"https://openalex.org/W2786908892","doi":"https://doi.org/10.17706/jcp.13.7.805-822","title":"Impact of Different Random Initializations on Generalization Performance of Extreme Learning Machine","display_name":"Impact of Different Random Initializations on Generalization Performance of Extreme Learning Machine","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2786908892","doi":"https://doi.org/10.17706/jcp.13.7.805-822","mag":"2786908892"},"language":"en","primary_location":{"id":"doi:10.17706/jcp.13.7.805-822","is_oa":true,"landing_page_url":"https://doi.org/10.17706/jcp.13.7.805-822","pdf_url":"http://www.jcomputers.us/vol13/jcp1307-07.pdf","source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://www.jcomputers.us/vol13/jcp1307-07.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100782565","display_name":"Xiaofang Zhang","orcid":"https://orcid.org/0000-0002-8667-0456"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaofang Zhang","raw_affiliation_strings":["Information Engineering Department, City College, Wuhan University of Science and Technology, Wuhan 430083, China"],"affiliations":[{"raw_affiliation_string":"Information Engineering Department, City College, Wuhan University of Science and Technology, Wuhan 430083, China","institution_ids":["https://openalex.org/I43922553","https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100782565"],"corresponding_institution_ids":["https://openalex.org/I37461747","https://openalex.org/I43922553"],"apc_list":null,"apc_paid":null,"fwci":0.1629,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.55481037,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"805","last_page":"822"},"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":0.9891999959945679,"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":0.9605000019073486,"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":0.7068781852722168},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6486826539039612},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5426415205001831},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5213621854782104},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39180198311805725},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27614402770996094},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.17529529333114624}],"concepts":[{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.7068781852722168},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6486826539039612},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5426415205001831},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5213621854782104},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39180198311805725},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27614402770996094},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.17529529333114624},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.17706/jcp.13.7.805-822","is_oa":true,"landing_page_url":"https://doi.org/10.17706/jcp.13.7.805-822","pdf_url":"http://www.jcomputers.us/vol13/jcp1307-07.pdf","source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.17706/jcp.13.7.805-822","is_oa":true,"landing_page_url":"https://doi.org/10.17706/jcp.13.7.805-822","pdf_url":"http://www.jcomputers.us/vol13/jcp1307-07.pdf","source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2786908892.pdf","grobid_xml":"https://content.openalex.org/works/W2786908892.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1565746575","https://openalex.org/W1604591429","https://openalex.org/W1974098896","https://openalex.org/W1984530193","https://openalex.org/W1986096622","https://openalex.org/W1993717606","https://openalex.org/W2026854879","https://openalex.org/W2040604977","https://openalex.org/W2047431064","https://openalex.org/W2055429730","https://openalex.org/W2065060269","https://openalex.org/W2072149257","https://openalex.org/W2081489378","https://openalex.org/W2111072639","https://openalex.org/W2130378394","https://openalex.org/W2141695047","https://openalex.org/W2154852616","https://openalex.org/W6636092645","https://openalex.org/W6648582430","https://openalex.org/W6660562041","https://openalex.org/W6666845019","https://openalex.org/W6679475628","https://openalex.org/W6683049163"],"related_works":["https://openalex.org/W1972782958","https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4286629047","https://openalex.org/W2969890106","https://openalex.org/W3046775127","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W2905251838","https://openalex.org/W4313488044"],"abstract_inverted_index":{"The":[0,54],"generalization":[1,120],"performance":[2],"of":[3,32,97,157],"extreme":[4],"learning":[5],"machine":[6],"(ELM)":[7],"is":[8],"influenced":[9],"by":[10],"the":[11,29,58,68,88,95,118,124,140,151],"random":[12,37,102],"initializations":[13],"to":[14,35,138],"input-layer":[15,103,141],"weights":[16,104,142],"and":[17,43,61,64,73,83,92,105,115,122,133,143],"hidden-layer":[18,106,144],"biases.":[19],"In":[20],"this":[21,25,51],"paper,":[22],"we":[23],"demonstrate":[24],"conclusion":[26],"through":[27],"testing":[28],"classification":[30],"accuracies":[31,91],"ELMs":[33,100,158],"corresponding":[34],"different":[36,160],"initializations.":[38],"30":[39],"UCI":[40],"data":[41],"sets":[42],"24":[44],"continuous":[45],"probability":[46,69,75],"distributions":[47,70,111,126],"are":[48,135],"employed":[49],"in":[50,159],"experimental":[52],"study.":[53],"final":[55],"results":[56],"present":[57],"following":[59],"important":[60],"valuable":[62],"observations":[63],"conclusions,":[65],"i.e.,":[66],"(1)":[67],"with":[71,101],"symmetrical":[72],"bell-shaped":[74],"density":[76],"functions":[77],"(e.g.,":[78,112,127],"Hyperbolic":[79],"Secant,":[80],"Student's-t,":[81],"Laplace":[82],"Normal)":[84],"always":[85],"bring":[86],"about":[87],"higher":[89],"training":[90],"easily":[93],"cause":[94],"over-fitting":[96],"ELM;":[98],"(2)":[99],"biases":[107,145],"chosen":[108],"from":[109],"heavy-tailed":[110],"Gamma,":[113],"Rayleigh":[114],"Frechet)":[116],"have":[117],"better":[119],"performances;":[121],"(3)":[123],"light-tailed":[125],"Central":[128],"Chi-Squared,":[129],"Erlang,":[130],"F,":[131],"Gumbel":[132],"Logistic)":[134],"usually":[136],"unsuited":[137],"initialize":[139],"for":[146,154],"ELM.":[147],"All":[148],"these":[149],"provide":[150],"useful":[152],"enlightenments":[153],"practical":[155],"applications":[156],"fields.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-02-24T19:35:01.260952","created_date":"2025-10-10T00:00:00"}