{"id":"https://openalex.org/W2087271001","doi":"https://doi.org/10.1016/0305-0548(93)90063-o","title":"An experimental evaluation of neural networks for classification","display_name":"An experimental evaluation of neural networks for classification","publication_year":1993,"publication_date":"1993-09-01","ids":{"openalex":"https://openalex.org/W2087271001","doi":"https://doi.org/10.1016/0305-0548(93)90063-o","mag":"2087271001"},"language":"en","primary_location":{"id":"doi:10.1016/0305-0548(93)90063-o","is_oa":false,"landing_page_url":"https://doi.org/10.1016/0305-0548(93)90063-o","pdf_url":null,"source":{"id":"https://openalex.org/S173256270","display_name":"Computers & Operations Research","issn_l":"0305-0548","issn":["0305-0548","1873-765X"],"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":"Computers & Operations Research","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/A5111853113","display_name":"Venkat Subramanian","orcid":null},"institutions":[{"id":"https://openalex.org/I183437572","display_name":"University of Wisconsin\u2013Parkside","ror":"https://ror.org/05s9f4d27","country_code":"US","type":"education","lineage":["https://openalex.org/I183437572"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Venkat Subramanian","raw_affiliation_strings":["School of Business, University of Wisconsin-Parkside, Kenosha, WI 53141 U.S.A","School of Business, University of Wisconsin-Parkside, Kenosha, WI 53141, U.S.A"],"affiliations":[{"raw_affiliation_string":"School of Business, University of Wisconsin-Parkside, Kenosha, WI 53141 U.S.A","institution_ids":["https://openalex.org/I183437572"]},{"raw_affiliation_string":"School of Business, University of Wisconsin-Parkside, Kenosha, WI 53141, U.S.A","institution_ids":["https://openalex.org/I183437572"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111577332","display_name":"Ming S. Hung","orcid":null},"institutions":[{"id":"https://openalex.org/I149910238","display_name":"Kent State University","ror":"https://ror.org/049pfb863","country_code":"US","type":"education","lineage":["https://openalex.org/I149910238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming S. Hung","raw_affiliation_strings":["College of Business Administration, Kent State University, Kent, OH 44242-0001, U.S.A","M. S. Hung is Professor of Operations Research in the Graduate School of Management at Kent State University U.S.A"],"affiliations":[{"raw_affiliation_string":"College of Business Administration, Kent State University, Kent, OH 44242-0001, U.S.A","institution_ids":["https://openalex.org/I149910238"]},{"raw_affiliation_string":"M. S. Hung is Professor of Operations Research in the Graduate School of Management at Kent State University U.S.A","institution_ids":["https://openalex.org/I149910238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045250992","display_name":"Michael Y. Hu","orcid":"https://orcid.org/0000-0002-3718-7169"},"institutions":[{"id":"https://openalex.org/I149910238","display_name":"Kent State University","ror":"https://ror.org/049pfb863","country_code":"US","type":"education","lineage":["https://openalex.org/I149910238"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Michael Y. Hu","raw_affiliation_strings":["College of Business Administration, Kent State University, Kent, OH 44242-0001, U.S.A","M. Y. Hu earned his Ph.D. in Management Science from the University of Minnesota and is currently Associate Professor of Marketing at Kent State University U.S.A"],"affiliations":[{"raw_affiliation_string":"College of Business Administration, Kent State University, Kent, OH 44242-0001, U.S.A","institution_ids":["https://openalex.org/I149910238"]},{"raw_affiliation_string":"M. Y. Hu earned his Ph.D. in Management Science from the University of Minnesota and is currently Associate Professor of Marketing at Kent State University U.S.A","institution_ids":["https://openalex.org/I149910238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045250992"],"corresponding_institution_ids":["https://openalex.org/I149910238"],"apc_list":{"value":3210,"currency":"USD","value_usd":3210},"apc_paid":null,"fwci":5.8195,"has_fulltext":false,"cited_by_count":78,"citation_normalized_percentile":{"value":0.95905092,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"20","issue":"7","first_page":"769","last_page":"782"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10057","display_name":"Face and Expression Recognition","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9927999973297119,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.842164158821106},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.828892707824707},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.6208207607269287},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.564605176448822},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5303968191146851},{"id":"https://openalex.org/keywords/quadratic-classifier","display_name":"Quadratic classifier","score":0.5210680365562439},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.444401353597641},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4400704503059387},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3934480547904968},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3773006796836853},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3577265739440918},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.13776734471321106}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.842164158821106},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.828892707824707},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.6208207607269287},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.564605176448822},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5303968191146851},{"id":"https://openalex.org/C52620605","wikidata":"https://www.wikidata.org/wiki/Q7268357","display_name":"Quadratic classifier","level":3,"score":0.5210680365562439},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.444401353597641},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4400704503059387},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3934480547904968},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3773006796836853},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3577265739440918},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.13776734471321106},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/0305-0548(93)90063-o","is_oa":false,"landing_page_url":"https://doi.org/10.1016/0305-0548(93)90063-o","pdf_url":null,"source":{"id":"https://openalex.org/S173256270","display_name":"Computers & Operations Research","issn_l":"0305-0548","issn":["0305-0548","1873-765X"],"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":"Computers & Operations Research","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W230943270","https://openalex.org/W1491663334","https://openalex.org/W1968226729","https://openalex.org/W1984178894","https://openalex.org/W1991640089","https://openalex.org/W1992566056","https://openalex.org/W1995341919","https://openalex.org/W1997492981","https://openalex.org/W2014018247","https://openalex.org/W2016207894","https://openalex.org/W2020930649","https://openalex.org/W2021566100","https://openalex.org/W2022989468","https://openalex.org/W2038837829","https://openalex.org/W2051417292","https://openalex.org/W2051745656","https://openalex.org/W2052570068","https://openalex.org/W2054804336","https://openalex.org/W2055653482","https://openalex.org/W2063698478","https://openalex.org/W2069480717","https://openalex.org/W2087779613","https://openalex.org/W2090142568","https://openalex.org/W2101927907","https://openalex.org/W2102538475","https://openalex.org/W2115116459","https://openalex.org/W2141690599","https://openalex.org/W2151478919","https://openalex.org/W2154579312","https://openalex.org/W2316326124","https://openalex.org/W2324806494","https://openalex.org/W2328126224","https://openalex.org/W2695777493","https://openalex.org/W2766736793","https://openalex.org/W3012317737","https://openalex.org/W3017143921","https://openalex.org/W3122773251","https://openalex.org/W3207342693","https://openalex.org/W4212997115","https://openalex.org/W4230727635","https://openalex.org/W4233081203","https://openalex.org/W4238153346","https://openalex.org/W4239711916","https://openalex.org/W4244145732","https://openalex.org/W6601962754","https://openalex.org/W6653847231","https://openalex.org/W6655767248","https://openalex.org/W6673042047","https://openalex.org/W6677340328","https://openalex.org/W6681155233","https://openalex.org/W6682333271","https://openalex.org/W6682610290"],"related_works":["https://openalex.org/W2113454941","https://openalex.org/W2951122819","https://openalex.org/W4288315282","https://openalex.org/W2350751952","https://openalex.org/W2362114017","https://openalex.org/W1999647744","https://openalex.org/W2088711785","https://openalex.org/W3147024994","https://openalex.org/W4285246984","https://openalex.org/W2075660794"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}