{"id":"https://openalex.org/W2169728932","doi":"https://doi.org/10.1162/089976698300017278","title":"Extended Kalman Filter\u2013Based Pruning Method for Recurrent Neural Networks","display_name":"Extended Kalman Filter\u2013Based Pruning Method for Recurrent Neural Networks","publication_year":1998,"publication_date":"1998-08-01","ids":{"openalex":"https://openalex.org/W2169728932","doi":"https://doi.org/10.1162/089976698300017278","mag":"2169728932","pmid":"https://pubmed.ncbi.nlm.nih.gov/9698354"},"language":"en","primary_location":{"id":"doi:10.1162/089976698300017278","is_oa":false,"landing_page_url":"https://doi.org/10.1162/089976698300017278","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5043836511","display_name":"John Sum","orcid":"https://orcid.org/0000-0002-6965-4219"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"John Sum","raw_affiliation_strings":["High Performance Computing Laboratory, Department of Computer Science and Engineering, Chinese University of Hong Kong, Shatin, N.T., Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"High Performance Computing Laboratory, Department of Computer Science and Engineering, Chinese University of Hong Kong, Shatin, N.T., Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111431165","display_name":"Laiwan Chan","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lai-wan Chan","raw_affiliation_strings":["Department of Computer Science and Engineering, Chinese University of Hong Kong, Shatin, N.T., Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Chinese University of Hong Kong, Shatin, N.T., Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056482307","display_name":"Chi-Sing Leung","orcid":"https://orcid.org/0000-0003-0962-6723"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chi-sing Leung","raw_affiliation_strings":["Department of Computer Science, University of Wollongong, Wollongong, 2522 NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Wollongong, Wollongong, 2522 NSW, Australia","institution_ids":["https://openalex.org/I204824540"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111403679","display_name":"Gilbert H. Young","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Gilbert H. Young","raw_affiliation_strings":["High Performance Computing Laboratory, Department of Computer Science and Engineering, Chinese University of Hong Kong, Shatin, N.T., Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"High Performance Computing Laboratory, Department of Computer Science and Engineering, Chinese University of Hong Kong, Shatin, N.T., Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6498,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.87689452,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"10","issue":"6","first_page":"1481","last_page":"1505"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","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/T10320","display_name":"Neural Networks and Applications","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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.991599977016449,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.8345751762390137},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7017202377319336},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6807884573936462},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.6787797808647156},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6083959341049194},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5162975192070007},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4914959669113159},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4536237120628357},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.45333442091941833},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.392112672328949},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37312155961990356},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36935776472091675},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08183693885803223}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.8345751762390137},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7017202377319336},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6807884573936462},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.6787797808647156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6083959341049194},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5162975192070007},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4914959669113159},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4536237120628357},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.45333442091941833},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.392112672328949},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37312155961990356},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36935776472091675},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08183693885803223},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1162/089976698300017278","is_oa":false,"landing_page_url":"https://doi.org/10.1162/089976698300017278","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},{"id":"pmid:9698354","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/9698354","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural computation","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8899999856948853,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1544447352","https://openalex.org/W1969190118","https://openalex.org/W1971771294","https://openalex.org/W1971812378","https://openalex.org/W1981494355","https://openalex.org/W2004175622","https://openalex.org/W2016589492","https://openalex.org/W2017123832","https://openalex.org/W2034637379","https://openalex.org/W2036582183","https://openalex.org/W2062803420","https://openalex.org/W2081796960","https://openalex.org/W2112462566","https://openalex.org/W2113021507","https://openalex.org/W2114766824","https://openalex.org/W2118538769","https://openalex.org/W2122568838","https://openalex.org/W2123716044","https://openalex.org/W2125389748","https://openalex.org/W2132152975","https://openalex.org/W2145085734","https://openalex.org/W2154435259","https://openalex.org/W2159371173","https://openalex.org/W2169791674","https://openalex.org/W2172139732","https://openalex.org/W3207342693"],"related_works":["https://openalex.org/W2089114113","https://openalex.org/W2389555968","https://openalex.org/W2352634297","https://openalex.org/W2320550378","https://openalex.org/W2020144404","https://openalex.org/W3162204513","https://openalex.org/W4372347353","https://openalex.org/W2103062922","https://openalex.org/W2162299404","https://openalex.org/W1969404656"],"abstract_inverted_index":{"Pruning":[0],"is":[1,28,76,95,105,143],"one":[2],"of":[3,12,24,55,72,81,84,88,113,122,130,149,156],"the":[4,9,22,82,111,120,128,139,147,153],"effective":[5],"techniques":[6,17],"for":[7,63],"improving":[8],"generalization":[10,154],"error":[11,89],"neural":[13,65],"networks.":[14],"Existing":[15],"pruning":[16,61,103,141],"are":[18],"derived":[19],"mainly":[20],"from":[21,98],"viewpoint":[23],"energy":[25],"minimization,":[26],"which":[27],"commonly":[29],"used":[30,77],"in":[31,53],"gradient-based":[32,50],"learning":[33,51],"methods.":[34],"In":[35],"recurrent":[36,64,158],"networks,":[37],"extended":[38],"Kalman":[39],"filter":[40],"(EKF)-based":[41],"training":[42,100],"has":[43],"been":[44],"shown":[45],"to":[46,49,145],"be":[47],"superior":[48],"methods":[52],"terms":[54],"speed.":[56],"This":[57],"article":[58],"explains":[59],"a":[60,73,79,85,114,123,157],"procedure":[62,104],"networks":[66],"using":[67,107],"EKF":[68],"training.":[69],"The":[70,102],"sensitivity":[71,90],"posterior":[74,92],"probability":[75,93],"as":[78],"measure":[80],"importance":[83],"weight":[86],"instead":[87],"since":[91],"density":[94],"readily":[96],"obtained":[97],"this":[99],"method.":[101],"tested":[106],"three":[108],"problems:":[109],"(1)":[110],"prediction":[112,129],"simple":[115],"linear":[116],"time":[117,133],"series,":[118],"(2)":[119],"identification":[121],"nonlinear":[124],"system,":[125],"and":[126,151],"(3)":[127],"an":[131],"exchange-rate":[132],"series.":[134],"Simulation":[135],"results":[136],"demonstrate":[137],"that":[138],"proposed":[140],"method":[142],"able":[144],"reduce":[146],"number":[148],"parameters":[150],"improve":[152],"ability":[155],"network.":[159]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-06-24T00:00:00"}
