{"id":"https://openalex.org/W2761070841","doi":"https://doi.org/10.1109/access.2017.2761802","title":"Multidimensional Data-Driven Life Prediction Method for White LEDs Based on BP-NN and Improved-Adaboost Algorithm","display_name":"Multidimensional Data-Driven Life Prediction Method for White LEDs Based on BP-NN and Improved-Adaboost Algorithm","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2761070841","doi":"https://doi.org/10.1109/access.2017.2761802","mag":"2761070841"},"language":"en","primary_location":{"id":"doi:10.1109/access.2017.2761802","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2761802","pdf_url":null,"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":null,"license_id":null,"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://doi.org/10.1109/access.2017.2761802","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050113336","display_name":"Kaiyuan Lu","orcid":"https://orcid.org/0000-0003-4012-2611"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiyuan Lu","raw_affiliation_strings":["School of Reliability and Systems Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Reliability and Systems Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101573507","display_name":"Wenjin Zhang","orcid":"https://orcid.org/0000-0003-4593-1936"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjin Zhang","raw_affiliation_strings":["School of Reliability and Systems Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Reliability and Systems Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001430169","display_name":"Bo Sun","orcid":"https://orcid.org/0000-0003-3526-296X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Sun","raw_affiliation_strings":["School of Reliability and Systems Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3526-296X","affiliations":[{"raw_affiliation_string":"School of Reliability and Systems Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.6665,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.95638262,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"5","issue":null,"first_page":"21660","last_page":"21668"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10099","display_name":"GaN-based semiconductor devices and materials","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/3104","display_name":"Condensed Matter Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10099","display_name":"GaN-based semiconductor devices and materials","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/3104","display_name":"Condensed Matter Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9775999784469604,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.9574999809265137,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6621106266975403},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6375085115432739},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.5820860266685486},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.5671705007553101},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5129935145378113},{"id":"https://openalex.org/keywords/chromaticity","display_name":"Chromaticity","score":0.48630794882774353},{"id":"https://openalex.org/keywords/light-emitting-diode","display_name":"Light-emitting diode","score":0.4834955036640167},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4827525019645691},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4274604320526123},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3228897154331207},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23288670182228088},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16328367590904236},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.12494978308677673},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09730935096740723},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.0880017876625061}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6621106266975403},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6375085115432739},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.5820860266685486},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.5671705007553101},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5129935145378113},{"id":"https://openalex.org/C201780734","wikidata":"https://www.wikidata.org/wiki/Q5069880","display_name":"Chromaticity","level":2,"score":0.48630794882774353},{"id":"https://openalex.org/C176666156","wikidata":"https://www.wikidata.org/wiki/Q25504","display_name":"Light-emitting diode","level":2,"score":0.4834955036640167},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4827525019645691},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4274604320526123},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3228897154331207},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23288670182228088},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16328367590904236},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.12494978308677673},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09730935096740723},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0880017876625061}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2017.2761802","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2761802","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4f25e4a08ce84c5ebc8284719b0df8aa","is_oa":true,"landing_page_url":"https://doaj.org/article/4f25e4a08ce84c5ebc8284719b0df8aa","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 5, Pp 21660-21668 (2017)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2017.2761802","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2761802","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Responsible consumption and production","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/12"}],"awards":[{"id":"https://openalex.org/G6825020848","display_name":null,"funder_award_id":"61673037","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W10789295","https://openalex.org/W1481309083","https://openalex.org/W1497690011","https://openalex.org/W1517381137","https://openalex.org/W1833005471","https://openalex.org/W1931284523","https://openalex.org/W1966212136","https://openalex.org/W1973432665","https://openalex.org/W1979188243","https://openalex.org/W1983895434","https://openalex.org/W1992014191","https://openalex.org/W2051998327","https://openalex.org/W2070534370","https://openalex.org/W2072966876","https://openalex.org/W2093733173","https://openalex.org/W2145458982","https://openalex.org/W2169273805","https://openalex.org/W2216974784","https://openalex.org/W2252826794","https://openalex.org/W2334771501","https://openalex.org/W2337455698","https://openalex.org/W2411048605","https://openalex.org/W2532164048","https://openalex.org/W2537417286","https://openalex.org/W2544262394","https://openalex.org/W2564202326","https://openalex.org/W2605985194","https://openalex.org/W2739011449","https://openalex.org/W6638646117","https://openalex.org/W6681656775","https://openalex.org/W6688745229","https://openalex.org/W6728774492"],"related_works":["https://openalex.org/W3042617802","https://openalex.org/W2390565750","https://openalex.org/W4304143159","https://openalex.org/W2612049511","https://openalex.org/W2088117556","https://openalex.org/W2155863125","https://openalex.org/W1179954120","https://openalex.org/W2099097840","https://openalex.org/W2527978246","https://openalex.org/W1842892189"],"abstract_inverted_index":{"In":[0,54],"view":[1],"of":[2,117,126],"the":[3,72,78,81,97,110,143,147,161,171],"light-emitting":[4],"diode":[5],"(LED)":[6],"and":[7,51,66,91,120],"its":[8,12],"life":[9,19,43,75,107],"prediction,":[10],"despite":[11],"currently":[13],"wide":[14],"use,":[15],"IES":[16,121],"TM-21-11":[17],"parametric":[18],"prediction":[20,44],"method":[21,45,99,112,145,163],"is":[22,100,113],"incapable":[23],"to":[24,167,173],"extrapolate":[25],"under":[26],"multidimensional":[27,37],"conditions":[28],"(include":[29],"working":[30],"environmental":[31],"conditions).":[32],"This":[33],"paper":[34],"presents":[35],"a":[36],"back":[38],"propagation-neural":[39],"network":[40],"(BP-NN)":[41],"based":[42],"which":[46,169],"considers":[47],"different":[48,127],"driving":[49],"currents":[50],"ambient":[52],"temperatures.":[53],"this":[55],"method,":[56],"parameters":[57],"such":[58],"as":[59,71,77],"temperature,":[60],"electric":[61],"current,":[62],"initial":[63,67],"chromaticity":[64],"coordinates":[65],"luminous":[68],"flux":[69],"serve":[70],"inputs,":[73],"while":[74],"serves":[76],"output.":[79],"Since":[80],"traditional":[82,118,158],"NN":[83],"can":[84],"easily":[85],"get":[86],"trapped":[87],"in":[88,178],"local":[89],"minima":[90],"be":[92],"affected":[93],"by":[94,109,151,154],"low":[95],"precision,":[96],"BP-NN":[98,119],"improved":[101,111,144,162],"using":[102],"Adaboost":[103],"algorithm.":[104],"The":[105,123,135],"expected":[106],"predicted":[108],"compared":[114,131,156],"with":[115,157,180],"that":[116,138],"TM-21-11.":[122],"LED":[124],"lamps":[125],"power":[128],"grades":[129],"are":[130],"for":[132],"verification":[133],"purposes.":[134],"results":[136],"show":[137],"when":[139],"predicting":[140],"LED's":[141],"lifetime,":[142],"reduces":[146],"average":[148,153],"relative":[149],"error":[150],"on":[152],"54%":[155],"BP-NN.":[159],"However,":[160],"takes":[164],"63.6%":[165],"longer":[166],"operate,":[168],"requires":[170],"users":[172],"choose":[174],"an":[175],"appropriate":[176],"model":[177],"accordance":[179],"particular":[181],"operating":[182],"conditions.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}