{"id":"https://openalex.org/W3046809173","doi":"https://doi.org/10.1109/access.2020.3012983","title":"Enhancement of Neural Network Based Multi Agent System for Classification and Regression in Energy System","display_name":"Enhancement of Neural Network Based Multi Agent System for Classification and Regression in Energy System","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3046809173","doi":"https://doi.org/10.1109/access.2020.3012983","mag":"3046809173"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3012983","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3012983","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09152963.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09152963.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006114560","display_name":"Chong Tak Yaw","orcid":null},"institutions":[{"id":"https://openalex.org/I79156528","display_name":"Universiti Tenaga Nasional","ror":"https://ror.org/03kxdn807","country_code":"MY","type":"education","lineage":["https://openalex.org/I79156528","https://openalex.org/I874769580"]},{"id":"https://openalex.org/I874769580","display_name":"Tenaga Nasional Berhad (Malaysia)","ror":"https://ror.org/04jjxmt88","country_code":"MY","type":"company","lineage":["https://openalex.org/I874769580"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Chong Tak Yaw","raw_affiliation_strings":["Institute of Sustainable Energy, Universiti Tenaga Nasional, Kajang, Malaysia"],"raw_orcid":"https://orcid.org/0000-0002-5044-6110","affiliations":[{"raw_affiliation_string":"Institute of Sustainable Energy, Universiti Tenaga Nasional, Kajang, Malaysia","institution_ids":["https://openalex.org/I874769580","https://openalex.org/I79156528"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091148707","display_name":"Keem Siah Yap","orcid":"https://orcid.org/0000-0002-5518-5132"},"institutions":[{"id":"https://openalex.org/I79156528","display_name":"Universiti Tenaga Nasional","ror":"https://ror.org/03kxdn807","country_code":"MY","type":"education","lineage":["https://openalex.org/I79156528","https://openalex.org/I874769580"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Keem Siah Yap","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Universiti Tenaga Nasional, Kajang, Malaysia"],"raw_orcid":"https://orcid.org/0000-0002-5518-5132","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Universiti Tenaga Nasional, Kajang, Malaysia","institution_ids":["https://openalex.org/I79156528"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062531171","display_name":"Shen Yuong Wong","orcid":"https://orcid.org/0000-0001-6027-5346"},"institutions":[{"id":"https://openalex.org/I4210134189","display_name":"Xiamen University Malaysia","ror":"https://ror.org/0331wa828","country_code":"MY","type":"education","lineage":["https://openalex.org/I191208505","https://openalex.org/I4210134189"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Shen Yuong Wong","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Xiamen University Malaysia, Sepang, Malaysia"],"raw_orcid":"https://orcid.org/0000-0001-6027-5346","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Xiamen University Malaysia, Sepang, Malaysia","institution_ids":["https://openalex.org/I4210134189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068725566","display_name":"Hwa Jen Yap","orcid":"https://orcid.org/0000-0001-7637-9297"},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Hwa Jen Yap","raw_affiliation_strings":["Department of Mechanical Engineering, University of Malaya, Kuala Lumpur, Malaysia"],"raw_orcid":"https://orcid.org/0000-0001-7637-9297","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Malaya, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I33849332"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090237844","display_name":"Johnny Koh Siew Paw","orcid":"https://orcid.org/0000-0003-4310-0207"},"institutions":[{"id":"https://openalex.org/I79156528","display_name":"Universiti Tenaga Nasional","ror":"https://ror.org/03kxdn807","country_code":"MY","type":"education","lineage":["https://openalex.org/I79156528","https://openalex.org/I874769580"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Johnny Koh Siew Paw","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Universiti Tenaga Nasional, Kajang, Malaysia"],"raw_orcid":"https://orcid.org/0000-0003-4310-0207","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Universiti Tenaga Nasional, Kajang, Malaysia","institution_ids":["https://openalex.org/I79156528"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5006114560"],"corresponding_institution_ids":["https://openalex.org/I79156528","https://openalex.org/I874769580"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.0879,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.82821104,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"163026","last_page":"163043"},"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.9666000008583069,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.963699996471405,"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":0.9242528080940247},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7538927793502808},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.720091700553894},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5359578728675842},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4861845374107361},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.47942274808883667},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4034917950630188}],"concepts":[{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.9242528080940247},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7538927793502808},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.720091700553894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5359578728675842},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4861845374107361},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.47942274808883667},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4034917950630188}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3012983","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3012983","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09152963.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:45e84656e91f4c44a8c22b63e444374d","is_oa":true,"landing_page_url":"https://doaj.org/article/45e84656e91f4c44a8c22b63e444374d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 163026-163043 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3012983","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3012983","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09152963.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G191300648","display_name":null,"funder_award_id":"XMUMRF/2018-C2/IECE/0001","funder_id":"https://openalex.org/F4320325434","funder_display_name":"Xiamen University"},{"id":"https://openalex.org/G3360533752","display_name":null,"funder_award_id":"IECE/0001","funder_id":"https://openalex.org/F4320325434","funder_display_name":"Xiamen University"},{"id":"https://openalex.org/G5751370925","display_name":null,"funder_award_id":"10436494/B/2019099","funder_id":"https://openalex.org/F4320325210","funder_display_name":"Universiti Tenaga Nasional"}],"funders":[{"id":"https://openalex.org/F4320319061","display_name":"Tenaga Nasional Berhad","ror":"https://ror.org/04jjxmt88"},{"id":"https://openalex.org/F4320325210","display_name":"Universiti Tenaga Nasional","ror":"https://ror.org/03kxdn807"},{"id":"https://openalex.org/F4320325434","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3046809173.pdf","grobid_xml":"https://content.openalex.org/works/W3046809173.grobid-xml"},"referenced_works_count":101,"referenced_works":["https://openalex.org/W54857953","https://openalex.org/W105841510","https://openalex.org/W854573769","https://openalex.org/W1534401054","https://openalex.org/W1535915527","https://openalex.org/W1559979466","https://openalex.org/W1750874372","https://openalex.org/W1775722790","https://openalex.org/W1961860731","https://openalex.org/W1963616278","https://openalex.org/W1965198822","https://openalex.org/W1967266605","https://openalex.org/W1973433968","https://openalex.org/W1976799371","https://openalex.org/W1982372699","https://openalex.org/W1982957836","https://openalex.org/W1983339194","https://openalex.org/W1983457957","https://openalex.org/W1983946671","https://openalex.org/W1989346796","https://openalex.org/W1990938413","https://openalex.org/W1996640396","https://openalex.org/W1997754540","https://openalex.org/W2000336575","https://openalex.org/W2003382362","https://openalex.org/W2010353187","https://openalex.org/W2019860878","https://openalex.org/W2026131661","https://openalex.org/W2035026907","https://openalex.org/W2040310894","https://openalex.org/W2049917046","https://openalex.org/W2056243682","https://openalex.org/W2061684001","https://openalex.org/W2069315453","https://openalex.org/W2070712754","https://openalex.org/W2072536676","https://openalex.org/W2085932691","https://openalex.org/W2093178608","https://openalex.org/W2093684572","https://openalex.org/W2099244771","https://openalex.org/W2099993931","https://openalex.org/W2103160355","https://openalex.org/W2103259706","https://openalex.org/W2103299354","https://openalex.org/W2109448822","https://openalex.org/W2111072639","https://openalex.org/W2114865067","https://openalex.org/W2115363171","https://openalex.org/W2116119284","https://openalex.org/W2118782552","https://openalex.org/W2121971770","https://openalex.org/W2122040390","https://openalex.org/W2131246644","https://openalex.org/W2134603844","https://openalex.org/W2137356002","https://openalex.org/W2155399784","https://openalex.org/W2158021896","https://openalex.org/W2158054309","https://openalex.org/W2158286838","https://openalex.org/W2160034666","https://openalex.org/W2160856693","https://openalex.org/W2161055889","https://openalex.org/W2161732614","https://openalex.org/W2162112159","https://openalex.org/W2162377876","https://openalex.org/W2165311940","https://openalex.org/W2168389101","https://openalex.org/W2168880067","https://openalex.org/W2179942646","https://openalex.org/W2183871974","https://openalex.org/W2189618224","https://openalex.org/W2272122054","https://openalex.org/W2295899921","https://openalex.org/W2512320385","https://openalex.org/W2520624300","https://openalex.org/W2531809222","https://openalex.org/W2535893141","https://openalex.org/W2561339502","https://openalex.org/W2601647807","https://openalex.org/W2612431537","https://openalex.org/W2728024527","https://openalex.org/W2738163158","https://openalex.org/W2766736793","https://openalex.org/W2767889121","https://openalex.org/W2825940057","https://openalex.org/W2943605924","https://openalex.org/W2952108874","https://openalex.org/W2972475876","https://openalex.org/W2976755854","https://openalex.org/W3023540311","https://openalex.org/W4241388405","https://openalex.org/W4243770941","https://openalex.org/W4388297464","https://openalex.org/W6604241553","https://openalex.org/W6632253774","https://openalex.org/W6651138361","https://openalex.org/W6675295791","https://openalex.org/W6677526907","https://openalex.org/W6679935922","https://openalex.org/W6683944120","https://openalex.org/W6686370243"],"related_works":["https://openalex.org/W2067443264","https://openalex.org/W31566076","https://openalex.org/W4297902562","https://openalex.org/W2741186499","https://openalex.org/W2894173309","https://openalex.org/W4387932263","https://openalex.org/W2098962763","https://openalex.org/W2371065793","https://openalex.org/W2157746493","https://openalex.org/W2969890106"],"abstract_inverted_index":{"Extreme":[0],"Learning":[1],"Machine":[2,126],"improved":[3],"the":[4,18,24,43,53,96,99,102,118,176,189,197,205,215,219,224,227,232,237,246,271,286],"iterative":[5],"procedures":[6],"of":[7,105,152,170,201,210,226,236,254],"adjusting":[8],"weights":[9],"by":[10],"randomly":[11],"selecting":[12],"hidden":[13,103],"neurons":[14,104],"besides":[15],"analytically":[16],"determining":[17],"output":[19],"weights.":[20],"In":[21,269],"this":[22],"paper,":[23],"basic":[25],"ELM":[26,54,74,78,106,156,158,173,190,216],"neural":[27,55,75,191],"network":[28,34,56,192],"was":[29,49,86,89,121,140,149,167,186,261],"enhanced":[30],"with":[31,66,80],"a":[32,46,67,91,110,171],"simplified":[33],"structure":[35],"to":[36,41,72,95,142,188,193,214,263,266],"achieve":[37],"regression":[38],"performance.":[39],"Next,":[40],"solve":[42],"pattern":[44],"classification,":[45],"hybrid":[47,79],"system":[48],"proposed":[50],"which":[51],"integrated":[52],"and":[57,107,127,199,280],"MAS":[58,61,230],"models.":[59],"A":[60],"model":[62,120],"is":[63],"then":[64],"designed":[65,141],"novel":[68],"trust":[69,206,220],"measurement":[70],"method":[71,185],"combine":[73],"networks.":[76],"Firstly,":[77],"Single":[81],"Input":[82],"Rule":[83],"Module":[84],"(SIRM-ELM)":[85],"designed.":[87],"There":[88],"only":[90],"single":[92,111,172],"input":[93,112],"connected":[94],"rules,":[97],"where":[98,157,285],"rules":[100],"were":[101,240,288],"each":[108],"represented":[109],"fuzzy":[113],"rules.":[114],"Results":[115],"showed":[116],"that":[117,222],"SIRM-ELM":[119],"better":[122],"than":[123],"Support":[124],"Vector":[125],"traditional":[128],"ELM.":[129],"Secondly,":[130],"an":[131,161],"extreme":[132],"learning":[133],"machine":[134],"based":[135],"multi":[136],"agent":[137],"systems":[138,260],"(ELM-MAS)":[139],"improve":[143],"ELM\u2019s":[144],"capability.":[145],"Its":[146],"first":[147],"layer":[148,166],"made":[150,168],"up":[151,169],"at":[153],"least":[154],"one":[155],"acted":[159],"as":[160,175,204],"individual":[162,202],"agent,":[163],"whereas":[164],"another":[165],"acting":[174],"parent":[177],"agent.":[178],"Lastly,":[179],"Certified":[180],"Belief":[181],"in":[182,229,282],"Strength":[183],"(CBS)":[184],"applied":[187,281],"form":[194],"ELM-MAS-CBS,":[195],"using":[196,231,277],"reputation":[198],"strength":[200],"agents":[203,217],"measurement.":[207],"The":[208,250],"assembly":[209],"strong":[211],"elements":[212],"related":[213],"formed":[218],"management":[221],"allowed":[223],"improvement":[225],"performance":[228],"CBS":[233],"method.":[234],"Both":[235],"developed":[238,272],"models":[239,256,273],"evaluated":[241],"on":[242,245],"its":[243],"application":[244],"power":[247,283],"generation":[248],"system.":[249],"test":[251],"accuracy":[252],"rate":[253],"both":[255],"for":[257],"circulating":[258],"water":[259],"shown":[262],"be":[264],"comparable":[265],"other":[267],"algorithms.":[268],"short,":[270],"had":[274],"been":[275],"verified":[276],"benchmark":[278],"datasets":[279],"generation,":[284],"results":[287],"satisfactory.":[289]},"counts_by_year":[{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}