{"id":"https://openalex.org/W2963694768","doi":"https://doi.org/10.1109/tcyb.2017.2771463","title":"Constructive Neural Network Learning","display_name":"Constructive Neural Network Learning","publication_year":2018,"publication_date":"2018-03-20","ids":{"openalex":"https://openalex.org/W2963694768","doi":"https://doi.org/10.1109/tcyb.2017.2771463","mag":"2963694768","pmid":"https://pubmed.ncbi.nlm.nih.gov/29994164"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2017.2771463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2017.2771463","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Cybernetics","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/A5022287632","display_name":"Shao-Bo Lin","orcid":"https://orcid.org/0000-0001-5122-9153"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shaobo Lin","raw_affiliation_strings":["College of Mathematics and Information Science, Wenzhou University, Wenzhou"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Information Science, Wenzhou University, Wenzhou","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440528","display_name":"Jinshan Zeng","orcid":"https://orcid.org/0000-0003-1719-3358"},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinshan Zeng","raw_affiliation_strings":["School of Computer and Information Engineering, Jiangxi Normal University, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Jiangxi Normal University, Nanchang, China","institution_ids":["https://openalex.org/I53592917"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100699785","display_name":"Xiaoqin Zhang","orcid":"https://orcid.org/0000-0003-0958-7285"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqin Zhang","raw_affiliation_strings":["College of Mathematics and Information Science, Wenzhou University, Wenzhou"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Information Science, Wenzhou University, Wenzhou","institution_ids":["https://openalex.org/I146620803"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022287632"],"corresponding_institution_ids":["https://openalex.org/I146620803"],"apc_list":null,"apc_paid":null,"fwci":2.769,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.92678562,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"49","issue":"1","first_page":"221","last_page":"232"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9998999834060669,"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/T12676","display_name":"Machine Learning and ELM","score":0.9998999834060669,"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/T10320","display_name":"Neural Networks and Applications","score":0.9998000264167786,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9962999820709229,"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/constructive","display_name":"Constructive","score":0.8508878946304321},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7156976461410522},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6167381405830383},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.608218252658844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5728263854980469},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5198186635971069},{"id":"https://openalex.org/keywords/function-approximation","display_name":"Function approximation","score":0.5043975114822388},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3828543722629547},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26880085468292236}],"concepts":[{"id":"https://openalex.org/C2778701210","wikidata":"https://www.wikidata.org/wiki/Q28130034","display_name":"Constructive","level":3,"score":0.8508878946304321},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7156976461410522},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6167381405830383},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.608218252658844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5728263854980469},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5198186635971069},{"id":"https://openalex.org/C91873725","wikidata":"https://www.wikidata.org/wiki/Q3445816","display_name":"Function approximation","level":3,"score":0.5043975114822388},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3828543722629547},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26880085468292236},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2017.2771463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2017.2771463","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Cybernetics","raw_type":"journal-article"},{"id":"pmid:29994164","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29994164","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":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1017081203","display_name":null,"funder_award_id":"61472285","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G346084562","display_name":null,"funder_award_id":"LR17F030001","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W355521715","https://openalex.org/W597932189","https://openalex.org/W1484867920","https://openalex.org/W1486164486","https://openalex.org/W1498436455","https://openalex.org/W1510073064","https://openalex.org/W1513292484","https://openalex.org/W1541274513","https://openalex.org/W1570089119","https://openalex.org/W1675061566","https://openalex.org/W1847890728","https://openalex.org/W1963616278","https://openalex.org/W1971909566","https://openalex.org/W1978581090","https://openalex.org/W1986164709","https://openalex.org/W1989006755","https://openalex.org/W1991165406","https://openalex.org/W1994640032","https://openalex.org/W1994642189","https://openalex.org/W2008345182","https://openalex.org/W2024131901","https://openalex.org/W2037842665","https://openalex.org/W2044675413","https://openalex.org/W2060243110","https://openalex.org/W2069351420","https://openalex.org/W2076577157","https://openalex.org/W2079223539","https://openalex.org/W2081774672","https://openalex.org/W2089455490","https://openalex.org/W2097581423","https://openalex.org/W2098290011","https://openalex.org/W2102013737","https://openalex.org/W2110930696","https://openalex.org/W2111072639","https://openalex.org/W2118706537","https://openalex.org/W2122040390","https://openalex.org/W2127459401","https://openalex.org/W2137557016","https://openalex.org/W2141695047","https://openalex.org/W2212164809","https://openalex.org/W2615421548","https://openalex.org/W2952108874","https://openalex.org/W2963200104","https://openalex.org/W3098004101","https://openalex.org/W3099692195","https://openalex.org/W3146280873","https://openalex.org/W4245558064","https://openalex.org/W4297730342","https://openalex.org/W6638751554","https://openalex.org/W6674997113","https://openalex.org/W6679165223","https://openalex.org/W6680634009","https://openalex.org/W6688238097"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W4286629047","https://openalex.org/W4306321456","https://openalex.org/W4285260836","https://openalex.org/W3046775127","https://openalex.org/W3170094116","https://openalex.org/W4205958290","https://openalex.org/W2386387936"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,23,49],"aim":[4],"at":[5],"developing":[6],"scalable":[7],"neural":[8,18,31],"network-type":[9],"learning":[10,41,71,82],"systems.":[11],"Motivated":[12],"by":[13],"the":[14,44,52,58,69,74,80,106],"idea":[15],"of":[16,99,110],"constructive":[17,45,63],"networks":[19,32],"in":[20],"approximation":[21],"theory,":[22],"focus":[24],"on":[25],"constructing":[26],"rather":[27],"than":[28],"training":[29],"feed-forward":[30],"(FNNs)":[33],"for":[34,62,85],"learning,":[35],"and":[36,108],"propose":[37],"a":[38,94],"novel":[39],"FNNs":[40,87],"system":[42],"called":[43],"FNN":[46,64],"(CFN).":[47],"Theoretically,":[48],"prove":[50],"that":[51],"proposed":[53],"method":[54],"not":[55],"only":[56,89],"overcomes":[57],"classical":[59],"saturation":[60],"problem":[61],"approximation,":[65],"but":[66],"also":[67],"reaches":[68],"optimal":[70,91],"rate":[72],"when":[73],"regression":[75],"function":[76],"is":[77],"smooth,":[78],"while":[79],"state-of-the-art":[81],"rates":[83],"established":[84],"traditional":[86],"are":[88,102],"near":[90],"(up":[92],"to":[93,104],"logarithmic":[95],"factor).":[96],"A":[97],"series":[98],"numerical":[100],"simulations":[101],"provided":[103],"show":[105],"efficiency":[107],"feasibility":[109],"CFN.":[111]},"counts_by_year":[{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}