{"id":"https://openalex.org/W2131868789","doi":"https://doi.org/10.1109/ijcnn.2003.1224053","title":"Using reconstructability analysis to select input variables for artificial neural networks","display_name":"Using reconstructability analysis to select input variables for artificial neural networks","publication_year":2004,"publication_date":"2004-06-22","ids":{"openalex":"https://openalex.org/W2131868789","doi":"https://doi.org/10.1109/ijcnn.2003.1224053","mag":"2131868789"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2003.1224053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1224053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","raw_type":"proceedings-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/A5065157776","display_name":"Stephen Shervais","orcid":null},"institutions":[{"id":"https://openalex.org/I159107703","display_name":"Eastern Washington University","ror":"https://ror.org/002g57a93","country_code":"US","type":"education","lineage":["https://openalex.org/I159107703"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"S. Shervais","raw_affiliation_strings":["Eastern Washington University, WA, USA","Eastern Washington University, Cheney, WA, USA"],"affiliations":[{"raw_affiliation_string":"Eastern Washington University, WA, USA","institution_ids":["https://openalex.org/I159107703"]},{"raw_affiliation_string":"Eastern Washington University, Cheney, WA, USA","institution_ids":["https://openalex.org/I159107703"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038714210","display_name":"Martin Zwick","orcid":"https://orcid.org/0000-0002-7247-6636"},"institutions":[{"id":"https://openalex.org/I126345244","display_name":"Portland State University","ror":"https://ror.org/00yn2fy02","country_code":"US","type":"education","lineage":["https://openalex.org/I126345244"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Zwick","raw_affiliation_strings":["Portland State University, Portland, OR, USA","PORTLAND STATE UNIVERSITY,"],"affiliations":[{"raw_affiliation_string":"Portland State University, Portland, OR, USA","institution_ids":["https://openalex.org/I126345244"]},{"raw_affiliation_string":"PORTLAND STATE UNIVERSITY,","institution_ids":["https://openalex.org/I126345244"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065157776"],"corresponding_institution_ids":["https://openalex.org/I159107703"],"apc_list":null,"apc_paid":null,"fwci":0.4625,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76633481,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"4","issue":null,"first_page":"3022","last_page":"3026"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.989799976348877,"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":0.989799976348877,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9539999961853027,"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":0.8345751166343689},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7177278995513916},{"id":"https://openalex.org/keywords/variables","display_name":"Variables","score":0.6034248471260071},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5796613693237305},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.567251980304718},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5335367918014526},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4405696392059326},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3789294362068176},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13607552647590637}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.8345751166343689},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7177278995513916},{"id":"https://openalex.org/C27574286","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Variables","level":2,"score":0.6034248471260071},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5796613693237305},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.567251980304718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5335367918014526},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4405696392059326},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3789294362068176},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13607552647590637},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ijcnn.2003.1224053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1224053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","raw_type":"proceedings-article"},{"id":"pmh:oai:pdxscholar.library.pdx.edu:sysc_fac-1135","is_oa":false,"landing_page_url":"https://pdxscholar.library.pdx.edu/sysc_fac/133","pdf_url":null,"source":{"id":"https://openalex.org/S4377196300","display_name":"PDXScholar  (Portland State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126345244","host_organization_name":"Portland State University","host_organization_lineage":["https://openalex.org/I126345244"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Systems Science Faculty Publications and Presentations","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.365.6248","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.365.6248","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.sysc.pdx.edu/download/papers/heart.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W6196333","https://openalex.org/W143088742","https://openalex.org/W199129542","https://openalex.org/W397887861","https://openalex.org/W1587378918","https://openalex.org/W1864615136","https://openalex.org/W2006989378","https://openalex.org/W2028739506","https://openalex.org/W2118504057","https://openalex.org/W2127135920","https://openalex.org/W2140299844","https://openalex.org/W2145535809","https://openalex.org/W2157646585","https://openalex.org/W2169747954","https://openalex.org/W2327022120","https://openalex.org/W3087675653","https://openalex.org/W4211153813","https://openalex.org/W6613749038","https://openalex.org/W6685206611","https://openalex.org/W6783513180","https://openalex.org/W7074181722"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W2391251536","https://openalex.org/W2465918047","https://openalex.org/W2362198218","https://openalex.org/W2019521278","https://openalex.org/W1984922432","https://openalex.org/W2375008505","https://openalex.org/W4375841781","https://openalex.org/W4311072340","https://openalex.org/W4382559908"],"abstract_inverted_index":{"We":[0,50],"demonstrate":[1,52],"the":[2,9,19,25,46,60,63],"use":[3],"of":[4,11,27,43],"reconstructability":[5],"analysis":[6],"to":[7,32],"reduce":[8,24],"number":[10,26],"input":[12],"variables":[13,29],"for":[14,62],"a":[15],"neural":[16],"network.":[17],"Using":[18],"heart":[20],"disease":[21],"dataset":[22],"we":[23],"independent":[28],"from":[30,41,59],"13":[31],"two,":[33],"while":[34],"providing":[35],"results":[36],"that":[37,53],"are":[38,66],"statistically":[39],"indistinguishable":[40],"those":[42],"NNs":[44,71],"using":[45],"full":[47],"variable":[48],"set.":[49],"also":[51],"rule":[54],"lookup":[55],"tables":[56],"obtained":[57],"directly":[58],"data":[61],"RA":[64],"models":[65],"almost":[67],"as":[68,70],"effective":[69],"trained":[72],"on":[73],"model":[74],"variables.":[75]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
