{"id":"https://openalex.org/W2080366266","doi":"https://doi.org/10.1109/iwaci.2010.5585143","title":"A fast learning algorithm for principal component extraction with data dependent learning rate","display_name":"A fast learning algorithm for principal component extraction with data dependent learning rate","publication_year":2010,"publication_date":"2010-08-01","ids":{"openalex":"https://openalex.org/W2080366266","doi":"https://doi.org/10.1109/iwaci.2010.5585143","mag":"2080366266"},"language":"en","primary_location":{"id":"doi:10.1109/iwaci.2010.5585143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwaci.2010.5585143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Third International Workshop on Advanced Computational Intelligence","raw_type":"proceedings-article"},"type":"article","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/A5101428788","display_name":"Lijun Liu","orcid":"https://orcid.org/0000-0002-8628-255X"},"institutions":[{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lijun Liu","raw_affiliation_strings":["School of Science, Dalian Nationalities of University, Dalian, China","School of Science, Dalian Nationalities University, China"],"affiliations":[{"raw_affiliation_string":"School of Science, Dalian Nationalities of University, Dalian, China","institution_ids":["https://openalex.org/I61565387"]},{"raw_affiliation_string":"School of Science, Dalian Nationalities University, China","institution_ids":["https://openalex.org/I61565387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054511397","display_name":"Rendong Ge","orcid":null},"institutions":[{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rendong Ge","raw_affiliation_strings":["School of Science, Dalian Nationalities of University, Dalian, China","School of Science, Dalian Nationalities University, China"],"affiliations":[{"raw_affiliation_string":"School of Science, Dalian Nationalities of University, Dalian, China","institution_ids":["https://openalex.org/I61565387"]},{"raw_affiliation_string":"School of Science, Dalian Nationalities University, China","institution_ids":["https://openalex.org/I61565387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100710139","display_name":"Jun Tie","orcid":"https://orcid.org/0000-0002-8036-0393"},"institutions":[{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Tie","raw_affiliation_strings":["School of Science, Dalian Nationalities of University, Dalian, China","School of Science, Dalian Nationalities University, China"],"affiliations":[{"raw_affiliation_string":"School of Science, Dalian Nationalities of University, Dalian, China","institution_ids":["https://openalex.org/I61565387"]},{"raw_affiliation_string":"School of Science, Dalian Nationalities University, China","institution_ids":["https://openalex.org/I61565387"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101428788"],"corresponding_institution_ids":["https://openalex.org/I61565387"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12220022,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"58","last_page":"61"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9991000294685364,"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/T10320","display_name":"Neural Networks and Applications","score":0.9991000294685364,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9836999773979187,"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/computer-science","display_name":"Computer science","score":0.683245062828064},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6725125312805176},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.6250711679458618},{"id":"https://openalex.org/keywords/wake-sleep-algorithm","display_name":"Wake-sleep algorithm","score":0.6046077609062195},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5739200115203857},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.5614022016525269},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5422635078430176},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5409039855003357},{"id":"https://openalex.org/keywords/online-machine-learning","display_name":"Online machine learning","score":0.4826655685901642},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.47355809807777405},{"id":"https://openalex.org/keywords/population-based-incremental-learning","display_name":"Population-based incremental learning","score":0.47251635789871216},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45659053325653076},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4249078333377838},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.32464030385017395},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2156798243522644},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.2073867917060852},{"id":"https://openalex.org/keywords/generalization-error","display_name":"Generalization error","score":0.10724416375160217},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.10479086637496948}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.683245062828064},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6725125312805176},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.6250711679458618},{"id":"https://openalex.org/C17061570","wikidata":"https://www.wikidata.org/wiki/Q7960888","display_name":"Wake-sleep algorithm","level":4,"score":0.6046077609062195},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5739200115203857},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.5614022016525269},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5422635078430176},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5409039855003357},{"id":"https://openalex.org/C115903097","wikidata":"https://www.wikidata.org/wiki/Q7094097","display_name":"Online machine learning","level":3,"score":0.4826655685901642},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.47355809807777405},{"id":"https://openalex.org/C184497298","wikidata":"https://www.wikidata.org/wiki/Q7229773","display_name":"Population-based incremental learning","level":3,"score":0.47251635789871216},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45659053325653076},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4249078333377838},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.32464030385017395},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2156798243522644},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2073867917060852},{"id":"https://openalex.org/C117765406","wikidata":"https://www.wikidata.org/wiki/Q5362437","display_name":"Generalization error","level":3,"score":0.10724416375160217},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.10479086637496948},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwaci.2010.5585143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwaci.2010.5585143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Third International Workshop on Advanced Computational Intelligence","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":14,"referenced_works":["https://openalex.org/W5731987","https://openalex.org/W1481919101","https://openalex.org/W1546626186","https://openalex.org/W1568229137","https://openalex.org/W1976045444","https://openalex.org/W2042326572","https://openalex.org/W2099194085","https://openalex.org/W2104684272","https://openalex.org/W2119501108","https://openalex.org/W2129497992","https://openalex.org/W2131329059","https://openalex.org/W2381902560","https://openalex.org/W2798909945","https://openalex.org/W6674914725"],"related_works":["https://openalex.org/W2386509578","https://openalex.org/W2312849919","https://openalex.org/W2370489053","https://openalex.org/W1986633584","https://openalex.org/W1486080307","https://openalex.org/W2197173055","https://openalex.org/W4360996384","https://openalex.org/W4321844043","https://openalex.org/W4386979406","https://openalex.org/W2072519422"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,70],"fast":[3,71],"adaptive":[4,62],"learning":[5,23,65,82,95],"algorithm":[6,87],"for":[7],"computing":[8],"principal":[9,53],"eigenvector":[10],"of":[11,18,44,48,93],"covariance":[12],"matrix":[13],"arisen":[14],"in":[15,29,84],"the":[16,22,38,45,52,57,85],"field":[17],"signal":[19],"processing,":[20],"where":[21],"process":[24],"has":[25],"to":[26,50],"be":[27],"repeated":[28],"online":[30,46],"manner.":[31],"Compared":[32],"with":[33,60],"most":[34],"existing":[35],"neural":[36],"algorithms,":[37],"proposed":[39,86],"approach":[40],"effectively":[41],"makes":[42,56],"use":[43],"estimation":[47],"eigenvalue":[49],"update":[51],"eigenvector,":[54],"which":[55],"method":[58],"works":[59],"an":[61],"data":[63,80],"dependent":[64,81],"rate":[66,83],"and":[67],"thus":[68],"demonstrates":[69],"convergence":[72],"speed.":[73],"Numerical":[74],"experiment":[75],"further":[76],"shows":[77],"that":[78,92],"this":[79],"offers":[88],"significant":[89],"advantages":[90],"over":[91],"constant":[94],"algorithm.":[96]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}