{"id":"https://openalex.org/W1589510067","doi":"https://doi.org/10.1023/a:1009636529053","title":"Centroid based Multilayer Perceptron Networks","display_name":"Centroid based Multilayer Perceptron Networks","publication_year":1998,"publication_date":"1998-04-01","ids":{"openalex":"https://openalex.org/W1589510067","doi":"https://doi.org/10.1023/a:1009636529053","mag":"1589510067"},"language":"en","primary_location":{"id":"doi:10.1023/a:1009636529053","is_oa":false,"landing_page_url":"https://doi.org/10.1023/a:1009636529053","pdf_url":null,"source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","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/A5021505895","display_name":"Mikko Lehtokangas","orcid":null},"institutions":[{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Mikko Lehtokangas","raw_affiliation_strings":["Signal Processing Laboratory, Tampere University of Technology, P.O. Box 553, FIN-33101, Tampere, Finland","Tampere University of Technology, Signal Processing Laboratory P.O.Box 553, FIN-33101 Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Signal Processing Laboratory, Tampere University of Technology, P.O. Box 553, FIN-33101, Tampere, Finland","institution_ids":["https://openalex.org/I4210133110"]},{"raw_affiliation_string":"Tampere University of Technology, Signal Processing Laboratory P.O.Box 553, FIN-33101 Tampere, Finland","institution_ids":["https://openalex.org/I4210133110"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014908854","display_name":"Jukka Saarinen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Jukka Saarinen","raw_affiliation_strings":["Signal Processing Laboratory, Tampere University of Technology, P.O. Box 553, FIN-33101, Tampere, Finland","Tampere University of Technology, Signal Processing Laboratory P.O.Box 553, FIN-33101 Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Signal Processing Laboratory, Tampere University of Technology, P.O. Box 553, FIN-33101, Tampere, Finland","institution_ids":["https://openalex.org/I4210133110"]},{"raw_affiliation_string":"Tampere University of Technology, Signal Processing Laboratory P.O.Box 553, FIN-33101 Tampere, Finland","institution_ids":["https://openalex.org/I4210133110"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5021505895"],"corresponding_institution_ids":["https://openalex.org/I4210133110"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":1.1058,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.81176543,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":"2","first_page":"101","last_page":"106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9869999885559082,"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":0.9869999885559082,"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/centroid","display_name":"Centroid","score":0.8869661092758179},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6507735848426819},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.6120699048042297},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6110742092132568},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5960084199905396},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.5686586499214172},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5521331429481506},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.5088493824005127},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5087063908576965},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5073584914207458},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4841064214706421},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.4632851481437683},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.4242689609527588},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32604485750198364}],"concepts":[{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.8869661092758179},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6507735848426819},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.6120699048042297},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6110742092132568},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5960084199905396},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.5686586499214172},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5521331429481506},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.5088493824005127},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5087063908576965},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5073584914207458},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4841064214706421},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.4632851481437683},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.4242689609527588},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32604485750198364},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1023/a:1009636529053","is_oa":false,"landing_page_url":"https://doi.org/10.1023/a:1009636529053","pdf_url":null,"source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1623080549","https://openalex.org/W2077658674","https://openalex.org/W2109779438","https://openalex.org/W2124776405","https://openalex.org/W2143908786","https://openalex.org/W2171277043","https://openalex.org/W2389691785","https://openalex.org/W2610671922","https://openalex.org/W3012317737","https://openalex.org/W6814314487"],"related_works":["https://openalex.org/W2276110787","https://openalex.org/W2338394561","https://openalex.org/W3106494386","https://openalex.org/W3133467804","https://openalex.org/W1964695469","https://openalex.org/W1997128020","https://openalex.org/W1902766772","https://openalex.org/W2587306017","https://openalex.org/W1992825654","https://openalex.org/W1589510067"],"abstract_inverted_index":null,"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
