{"id":"https://openalex.org/W2066774881","doi":"https://doi.org/10.1109/icca.2010.5524316","title":"Quantum-behaved particle swarm optimization -ANN based identification method for typical power quality disturbance","display_name":"Quantum-behaved particle swarm optimization -ANN based identification method for typical power quality disturbance","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2066774881","doi":"https://doi.org/10.1109/icca.2010.5524316","mag":"2066774881"},"language":"en","primary_location":{"id":"doi:10.1109/icca.2010.5524316","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca.2010.5524316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE ICCA 2010","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/A5028839505","display_name":"Genghuang Yang","orcid":"https://orcid.org/0009-0003-2024-9006"},"institutions":[{"id":"https://openalex.org/I133270356","display_name":"Tianjin University of Technology and Education","ror":"https://ror.org/035gwtk09","country_code":"CN","type":"education","lineage":["https://openalex.org/I133270356"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Genghuang Yang","raw_affiliation_strings":["Key Laboratory of Information Sensing & Intelligent Control, Tianjin University of Technology and Education, Tianjin, China","Tianjin Key Laboratory of Information Sensing & Intelligent Control in Tianjin University of Technology and Education, 300222 China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Information Sensing & Intelligent Control, Tianjin University of Technology and Education, Tianjin, China","institution_ids":["https://openalex.org/I133270356"]},{"raw_affiliation_string":"Tianjin Key Laboratory of Information Sensing & Intelligent Control in Tianjin University of Technology and Education, 300222 China","institution_ids":["https://openalex.org/I133270356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389403","display_name":"Yuliang Liu","orcid":"https://orcid.org/0009-0002-8172-116X"},"institutions":[{"id":"https://openalex.org/I133270356","display_name":"Tianjin University of Technology and Education","ror":"https://ror.org/035gwtk09","country_code":"CN","type":"education","lineage":["https://openalex.org/I133270356"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuliang Liu","raw_affiliation_strings":["Tianjin University of Technology and Education, Tianjin, China","Tianjin University of Technology and Education, 300222, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University of Technology and Education, Tianjin, China","institution_ids":["https://openalex.org/I133270356"]},{"raw_affiliation_string":"Tianjin University of Technology and Education, 300222, China","institution_ids":["https://openalex.org/I133270356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066116668","display_name":"Li Zhao","orcid":"https://orcid.org/0000-0003-2956-3539"},"institutions":[{"id":"https://openalex.org/I133270356","display_name":"Tianjin University of Technology and Education","ror":"https://ror.org/035gwtk09","country_code":"CN","type":"education","lineage":["https://openalex.org/I133270356"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Zhao","raw_affiliation_strings":["Tianjin University of Technology and Education, Tianjin, China","Tianjin University of Technology and Education, 300222, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University of Technology and Education, Tianjin, China","institution_ids":["https://openalex.org/I133270356"]},{"raw_affiliation_string":"Tianjin University of Technology and Education, 300222, China","institution_ids":["https://openalex.org/I133270356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113655692","display_name":"Shigang Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I133270356","display_name":"Tianjin University of Technology and Education","ror":"https://ror.org/035gwtk09","country_code":"CN","type":"education","lineage":["https://openalex.org/I133270356"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shigang Cui","raw_affiliation_strings":["Tianjin University of Technology and Education, Tianjin, China","Tianjin University of Technology and Education, 300222, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University of Technology and Education, Tianjin, China","institution_ids":["https://openalex.org/I133270356"]},{"raw_affiliation_string":"Tianjin University of Technology and Education, 300222, China","institution_ids":["https://openalex.org/I133270356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112126345","display_name":"Qingguo Meng","orcid":"https://orcid.org/0000-0002-5355-108X"},"institutions":[{"id":"https://openalex.org/I133270356","display_name":"Tianjin University of Technology and Education","ror":"https://ror.org/035gwtk09","country_code":"CN","type":"education","lineage":["https://openalex.org/I133270356"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingguo Meng","raw_affiliation_strings":["Tianjin University of Technology and Education, 300222, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University of Technology and Education, 300222, China","institution_ids":["https://openalex.org/I133270356"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100735209","display_name":"Hongda Chen","orcid":"https://orcid.org/0000-0002-4901-5030"},"institutions":[{"id":"https://openalex.org/I4210149211","display_name":"Institute of Semiconductors","ror":"https://ror.org/048dd0611","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongda Chen","raw_affiliation_strings":["Semiconductor Institute, Chinese Academy and Sciences, Beijing, China","Semiconductor Institute of CAS, Beijing, 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Semiconductor Institute, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210149211"]},{"raw_affiliation_string":"Semiconductor Institute of CAS, Beijing, 100083, China","institution_ids":["https://openalex.org/I4210149211"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4451,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58590746,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"15","issue":null,"first_page":"1103","last_page":"1108"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10573","display_name":"Power Quality and Harmonics","score":0.9968000054359436,"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"}},"topics":[{"id":"https://openalex.org/T10573","display_name":"Power Quality and Harmonics","score":0.9968000054359436,"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"}},{"id":"https://openalex.org/T13955","display_name":"Evaluation Methods in Various Fields","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.8232444524765015},{"id":"https://openalex.org/keywords/disturbance","display_name":"Disturbance (geology)","score":0.7545046806335449},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5912939310073853},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5829613208770752},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5608265399932861},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5227668285369873},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4995110034942627},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.4906958341598511},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.46240881085395813},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4210730791091919},{"id":"https://openalex.org/keywords/power-quality","display_name":"Power quality","score":0.41794830560684204},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40904027223587036},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3364100456237793},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21191155910491943},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07344824075698853},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.059499919414520264}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.8232444524765015},{"id":"https://openalex.org/C2777601987","wikidata":"https://www.wikidata.org/wiki/Q5283581","display_name":"Disturbance (geology)","level":2,"score":0.7545046806335449},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5912939310073853},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5829613208770752},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5608265399932861},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5227668285369873},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4995110034942627},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.4906958341598511},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.46240881085395813},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4210730791091919},{"id":"https://openalex.org/C2779665505","wikidata":"https://www.wikidata.org/wiki/Q1780079","display_name":"Power quality","level":3,"score":0.41794830560684204},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40904027223587036},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3364100456237793},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21191155910491943},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07344824075698853},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.059499919414520264},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icca.2010.5524316","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca.2010.5524316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE ICCA 2010","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1566399673","https://openalex.org/W1984098708","https://openalex.org/W2099454722","https://openalex.org/W2120580425","https://openalex.org/W2126704684","https://openalex.org/W2131456415","https://openalex.org/W2152195021","https://openalex.org/W2354302348","https://openalex.org/W2355429773","https://openalex.org/W2378106321","https://openalex.org/W2383690885","https://openalex.org/W4238957295","https://openalex.org/W4240471505"],"related_works":["https://openalex.org/W2038604956","https://openalex.org/W2296560746","https://openalex.org/W2338222801","https://openalex.org/W4239286941","https://openalex.org/W2088845016","https://openalex.org/W589102260","https://openalex.org/W2347583731","https://openalex.org/W1966421350","https://openalex.org/W2106602008","https://openalex.org/W1974818473"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3],"improved":[4],"algorithm":[5,112,135],"based":[6,119],"on":[7,120],"quantum-behaved":[8],"particle":[9],"swarm":[10],"optimization":[11],"(QPSO)":[12],"to":[13,35,80,88,132],"improve":[14,89],"artificial":[15],"neural":[16,91],"network":[17,92],"(ANN)":[18],"training":[19,125],"for":[20],"the":[21,37,45,53,82,90,104,110,121,133],"identification":[22],"of":[23,48,55,96,116],"typical":[24,97],"power":[25],"quality":[26],"disturbance":[27,42,50,100],"(PQD).":[28],"Two":[29],"sub":[30,56],"networks":[31,57],"which":[32,117],"are":[33,101],"used":[34],"identify":[36],"continual":[38],"and":[39,66,74,140],"break":[40],"PQ":[41,49,99],"respectively":[43],"form":[44],"recognizer.":[46],"Characteristic":[47],"acting":[51],"as":[52,87],"input":[54],"is":[58,78,118,130],"obtained":[59],"by":[60],"projection":[61],"pursuit":[62],"regression,":[63],"dynamic":[64],"computing":[65,84],"fractal":[67],"technique.":[68],"QPSO":[69],"with":[70,114,126,136],"study":[71],"factors,":[72],"gather":[73],"speed":[75],"factor":[76,128],"added":[77],"applied":[79],"optimize":[81],"parameters'":[83],"method,":[85],"so":[86],"training.":[93],"Six":[94],"types":[95],"spot":[98],"included":[102],"in":[103],"experiment.":[105],"The":[106],"result":[107],"shows":[108],"that":[109,115],"proposed":[111],"compared":[113],"standard":[122],"back":[123],"propagation":[124],"momentum":[127],"added,":[129],"superior":[131],"other":[134],"a":[137],"better":[138],"astringency":[139],"stability.":[141]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}