{"id":"https://openalex.org/W1502141848","doi":"https://doi.org/10.1007/3-540-33019-4_14","title":"GA-Based Pareto Optimization for Rule Extraction from Neural Networks","display_name":"GA-Based Pareto Optimization for Rule Extraction from Neural Networks","publication_year":2006,"publication_date":"2006-05-19","ids":{"openalex":"https://openalex.org/W1502141848","doi":"https://doi.org/10.1007/3-540-33019-4_14","mag":"1502141848"},"language":"en","primary_location":{"id":"doi:10.1007/3-540-33019-4_14","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-33019-4_14","pdf_url":null,"source":{"id":"https://openalex.org/S2764461748","display_name":"Studies in computational intelligence","issn_l":"1860-949X","issn":["1860-949X","1860-9503"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Computational Intelligence","raw_type":"book-chapter"},"type":"book-chapter","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/A5036575786","display_name":"Urszula Markowska\u2013Kaczmar","orcid":"https://orcid.org/0000-0001-7606-3057"},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Urszula Markowska-Kaczmar","raw_affiliation_strings":["Institute of Applied Informatics Wyb, Wroclaw University of Technology, Wyspianskiego 27, Wroclaw, 50-370, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Applied Informatics Wyb, Wroclaw University of Technology, Wyspianskiego 27, Wroclaw, 50-370, Poland","institution_ids":["https://openalex.org/I11923345"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023503239","display_name":"Krystyna Mularczyk","orcid":null},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Krystyna Mularczyk","raw_affiliation_strings":["Institute of Applied Informatics Wyb, Wroclaw University of Technology, Wyspianskiego 27, Wroclaw, 50-370, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Applied Informatics Wyb, Wroclaw University of Technology, Wyspianskiego 27, Wroclaw, 50-370, Poland","institution_ids":["https://openalex.org/I11923345"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6029,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.65224612,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"313","last_page":"338"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9972000122070312,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9972000122070312,"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":0.996999979019165,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7106541395187378},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6530691981315613},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6423369646072388},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.6126573085784912},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.5774290561676025},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.47681280970573425},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.4709274172782898},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.458733469247818},{"id":"https://openalex.org/keywords/pareto-optimal","display_name":"Pareto optimal","score":0.45447832345962524},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36744362115859985},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.351712167263031},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3125937581062317},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16817089915275574},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06609264016151428},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.03964436054229736}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7106541395187378},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6530691981315613},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6423369646072388},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.6126573085784912},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.5774290561676025},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.47681280970573425},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.4709274172782898},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.458733469247818},{"id":"https://openalex.org/C2986314615","wikidata":"https://www.wikidata.org/wiki/Q36829","display_name":"Pareto optimal","level":3,"score":0.45447832345962524},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36744362115859985},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.351712167263031},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3125937581062317},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16817089915275574},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06609264016151428},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.03964436054229736},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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:10.1007/3-540-33019-4_14","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-33019-4_14","pdf_url":null,"source":{"id":"https://openalex.org/S2764461748","display_name":"Studies in computational intelligence","issn_l":"1860-949X","issn":["1860-949X","1860-9503"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Computational Intelligence","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W42649658","https://openalex.org/W162402368","https://openalex.org/W654914693","https://openalex.org/W1496550862","https://openalex.org/W1553373771","https://openalex.org/W1851430230","https://openalex.org/W1866827035","https://openalex.org/W1899799171","https://openalex.org/W2063046703","https://openalex.org/W2084812512","https://openalex.org/W2099377044","https://openalex.org/W2100765994","https://openalex.org/W2106334424","https://openalex.org/W2111990972","https://openalex.org/W2112649152","https://openalex.org/W2116661285","https://openalex.org/W2136734237","https://openalex.org/W2142183404","https://openalex.org/W2159111290","https://openalex.org/W2163532598","https://openalex.org/W2809483707","https://openalex.org/W3023540311","https://openalex.org/W4292408320","https://openalex.org/W4301173492","https://openalex.org/W6671611538"],"related_works":["https://openalex.org/W2996366161","https://openalex.org/W2073298047","https://openalex.org/W1963790170","https://openalex.org/W2090178682","https://openalex.org/W2586328217","https://openalex.org/W2033790662","https://openalex.org/W2049264236","https://openalex.org/W4241467429","https://openalex.org/W2073147994","https://openalex.org/W2001591765"],"abstract_inverted_index":null,"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
