{"id":"https://openalex.org/W2082598637","doi":"https://doi.org/10.1016/s0954-1810(99)00016-3","title":"Fast training algorithm for feedforward neural networks: application to crowd estimation at underground stations","display_name":"Fast training algorithm for feedforward neural networks: application to crowd estimation at underground stations","publication_year":1999,"publication_date":"1999-07-01","ids":{"openalex":"https://openalex.org/W2082598637","doi":"https://doi.org/10.1016/s0954-1810(99)00016-3","mag":"2082598637"},"language":"en","primary_location":{"id":"doi:10.1016/s0954-1810(99)00016-3","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0954-1810(99)00016-3","pdf_url":null,"source":{"id":"https://openalex.org/S134649062","display_name":"Artificial Intelligence in Engineering","issn_l":"0954-1810","issn":["0954-1810","1879-1492"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence in Engineering","raw_type":"journal-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/A5050716572","display_name":"Tommy W. S. Chow","orcid":"https://orcid.org/0000-0001-7051-0434"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"T.W.S. Chow","raw_affiliation_strings":["City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091506984","display_name":"J.Y.F. Yam","orcid":null},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"J.Y.-F. Yam","raw_affiliation_strings":["City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059742237","display_name":"Soyun Cho","orcid":"https://orcid.org/0000-0003-2468-485X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"S.-Y Cho","raw_affiliation_strings":["City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5050716572"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":1.043,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.82254583,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"13","issue":"3","first_page":"301","last_page":"307"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9952999949455261,"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":0.9952999949455261,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","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"}}],"keywords":[{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.7335236072540283},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.6853379011154175},{"id":"https://openalex.org/keywords/flops","display_name":"FLOPS","score":0.6698639988899231},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6417571902275085},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6259908676147461},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.5974239110946655},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.5852782130241394},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5812072157859802},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38700437545776367},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.222316712141037},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.10180601477622986}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7335236072540283},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.6853379011154175},{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.6698639988899231},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6417571902275085},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6259908676147461},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.5974239110946655},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.5852782130241394},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5812072157859802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38700437545776367},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.222316712141037},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.10180601477622986},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/s0954-1810(99)00016-3","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0954-1810(99)00016-3","pdf_url":null,"source":{"id":"https://openalex.org/S134649062","display_name":"Artificial Intelligence in Engineering","issn_l":"0954-1810","issn":["0954-1810","1879-1492"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence in Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1554663460","https://openalex.org/W1944244492","https://openalex.org/W1964044783","https://openalex.org/W1981902804","https://openalex.org/W2013744516","https://openalex.org/W2019006876","https://openalex.org/W2025357764","https://openalex.org/W2094631910","https://openalex.org/W2109189741","https://openalex.org/W2143043044","https://openalex.org/W2155482699","https://openalex.org/W2155530592","https://openalex.org/W2165368973","https://openalex.org/W2171214091","https://openalex.org/W2798909945","https://openalex.org/W4237157765"],"related_works":["https://openalex.org/W2258992572","https://openalex.org/W2359410228","https://openalex.org/W1604847762","https://openalex.org/W2086999410","https://openalex.org/W3177279640","https://openalex.org/W2381165384","https://openalex.org/W1905705329","https://openalex.org/W2043562021","https://openalex.org/W2131501411","https://openalex.org/W2140256789"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":5},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
