{"id":"https://openalex.org/W2009207660","doi":"https://doi.org/10.1016/0893-6080(94)90009-4","title":"How to make sigma-pi neural networks perform perfectly on regular training sets","display_name":"How to make sigma-pi neural networks perform perfectly on regular training sets","publication_year":1994,"publication_date":"1994-01-01","ids":{"openalex":"https://openalex.org/W2009207660","doi":"https://doi.org/10.1016/0893-6080(94)90009-4","mag":"2009207660"},"language":"en","primary_location":{"id":"doi:10.1016/0893-6080(94)90009-4","is_oa":false,"landing_page_url":"https://doi.org/10.1016/0893-6080(94)90009-4","pdf_url":null,"source":{"id":"https://openalex.org/S123019304","display_name":"Neural Networks","issn_l":"0893-6080","issn":["0893-6080","1879-2782"],"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":"Neural Networks","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/A5009784218","display_name":"Burkhard Lenze","orcid":"https://orcid.org/0000-0002-8651-3653"},"institutions":[{"id":"https://openalex.org/I159743108","display_name":"Dortmund University of Applied Sciences and Arts","ror":"https://ror.org/03dv91853","country_code":"DE","type":"education","lineage":["https://openalex.org/I159743108"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Burkhard Lenze","raw_affiliation_strings":["Fachbereich Informatik, Fachhochschule Dortmund Germany"],"affiliations":[{"raw_affiliation_string":"Fachbereich Informatik, Fachhochschule Dortmund Germany","institution_ids":["https://openalex.org/I159743108"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5009784218"],"corresponding_institution_ids":["https://openalex.org/I159743108"],"apc_list":{"value":3350,"currency":"USD","value_usd":3350},"apc_paid":null,"fwci":3.3885,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.92400881,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"7","issue":"8","first_page":"1285","last_page":"1293"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9970999956130981,"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"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9873999953269958,"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/discriminant","display_name":"Discriminant","score":0.6905384659767151},{"id":"https://openalex.org/keywords/sigma","display_name":"Sigma","score":0.6451989412307739},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6161897778511047},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6090262532234192},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5326093435287476},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.4794701337814331},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4509356915950775},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4443952441215515},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.43176716566085815},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30033379793167114}],"concepts":[{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.6905384659767151},{"id":"https://openalex.org/C2778049214","wikidata":"https://www.wikidata.org/wiki/Q7512234","display_name":"Sigma","level":2,"score":0.6451989412307739},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6161897778511047},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6090262532234192},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5326093435287476},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.4794701337814331},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4509356915950775},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4443952441215515},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.43176716566085815},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30033379793167114},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/0893-6080(94)90009-4","is_oa":false,"landing_page_url":"https://doi.org/10.1016/0893-6080(94)90009-4","pdf_url":null,"source":{"id":"https://openalex.org/S123019304","display_name":"Neural Networks","issn_l":"0893-6080","issn":["0893-6080","1879-2782"],"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":"Neural Networks","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W311884146","https://openalex.org/W340317796","https://openalex.org/W655482010","https://openalex.org/W1613359937","https://openalex.org/W1964379255","https://openalex.org/W1971665073","https://openalex.org/W1971735090","https://openalex.org/W1977923618","https://openalex.org/W1983776716","https://openalex.org/W2068777106","https://openalex.org/W2075930609","https://openalex.org/W2090344516","https://openalex.org/W2103496339","https://openalex.org/W2107725879","https://openalex.org/W2116248957","https://openalex.org/W2134319906","https://openalex.org/W2137983211","https://openalex.org/W2229625618","https://openalex.org/W2327418083","https://openalex.org/W2334971176","https://openalex.org/W2574741566","https://openalex.org/W3207342693","https://openalex.org/W4239910526","https://openalex.org/W4299137582","https://openalex.org/W4312641524","https://openalex.org/W6611617394","https://openalex.org/W6644742238","https://openalex.org/W6675979357","https://openalex.org/W6677603168","https://openalex.org/W6689216007","https://openalex.org/W6701659163","https://openalex.org/W6702872562","https://openalex.org/W6793481126"],"related_works":["https://openalex.org/W4241330371","https://openalex.org/W4389363760","https://openalex.org/W3203470546","https://openalex.org/W1988723200","https://openalex.org/W3038086597","https://openalex.org/W4287208209","https://openalex.org/W1997795239","https://openalex.org/W2911817544","https://openalex.org/W2134399022","https://openalex.org/W4301180738"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
