{"id":"https://openalex.org/W2139208068","doi":"https://doi.org/10.1080/01969720050045985","title":"INDUCTIVE LEARNING FOR PARAMETER OPTIMIZATION","display_name":"INDUCTIVE LEARNING FOR PARAMETER OPTIMIZATION","publication_year":2000,"publication_date":"2000-07-01","ids":{"openalex":"https://openalex.org/W2139208068","doi":"https://doi.org/10.1080/01969720050045985","mag":"2139208068"},"language":"en","primary_location":{"id":"doi:10.1080/01969720050045985","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01969720050045985","pdf_url":null,"source":{"id":"https://openalex.org/S117436046","display_name":"Cybernetics & Systems","issn_l":"0196-9722","issn":["0196-9722","1087-6553"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cybernetics and Systems","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/A5013478677","display_name":"Helena Szczerbicka Rainer Barton","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Rainer Barton, Helena Szczerbicka","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5013478677"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14485239,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"31","issue":"5","first_page":"469","last_page":"490"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14351","display_name":"Statistical and Computational Modeling","score":0.9639999866485596,"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/T14351","display_name":"Statistical and Computational Modeling","score":0.9639999866485596,"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":0.9275000095367432,"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/classifier","display_name":"Classifier (UML)","score":0.6699521541595459},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6593126058578491},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4774787425994873},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.47639527916908264},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4728850722312927},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.443544864654541},{"id":"https://openalex.org/keywords/global-optimization","display_name":"Global optimization","score":0.4238625168800354},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.42372649908065796},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3640276789665222},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24440211057662964}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6699521541595459},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6593126058578491},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4774787425994873},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.47639527916908264},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4728850722312927},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.443544864654541},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.4238625168800354},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.42372649908065796},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3640276789665222},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24440211057662964}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/01969720050045985","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01969720050045985","pdf_url":null,"source":{"id":"https://openalex.org/S117436046","display_name":"Cybernetics & Systems","issn_l":"0196-9722","issn":["0196-9722","1087-6553"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cybernetics and Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2571293944","https://openalex.org/W2088539601","https://openalex.org/W2377941745","https://openalex.org/W2564248808","https://openalex.org/W2073248645","https://openalex.org/W2373065973","https://openalex.org/W2043537261","https://openalex.org/W2376131072","https://openalex.org/W3212179065","https://openalex.org/W2184070258"],"abstract_inverted_index":{"Optimization":[0,49],"of":[1,7,16,21,30,41,67,99,113,119],"simulation":[2,14,107],"model":[3,108],"output":[4],"is":[5,25],"one":[6],"the":[8,28,39,65,91,97,100,111,124],"most":[9],"important":[10],"tasks":[11],"in":[12,27,38,52,61,90],"a":[13,17,32,83,87,106,120],"study":[15],"complex":[18],"system.":[19],"Efficacy":[20],"an":[22,77],"optimization":[23,92],"approach":[24,46],"expressed":[26],"accuracy":[29],"locating":[31],"global":[33],"extremum,":[34],"as":[35,37,86],"well":[36],"number":[40,66],"investigated":[42],"search":[43,59,72,115],"points.":[44,116],"The":[45,94],"Machine":[47],"Learning":[48],"(ML-Opt),":[50],"presented":[51],"this":[53],"article,":[54],"explores":[55],"functional":[56],"dependencies":[57],"between":[58,71],"points":[60,73],"order":[62],"to":[63],"reduce":[64],"evaluations.":[68],"Functional":[69],"relations":[70],"are":[74],"determined":[75],"by":[76,105],"inductive":[78],"learning":[79],"algorithm,":[80],"which":[81],"generates":[82],"classifier":[84,95],"used":[85],"control":[88],"structure":[89,98],"process.":[93],"approximates":[96],"unknown":[101],"goal":[102],"function":[103],"given":[104],"and":[109],"affects":[110],"generation":[112],"new":[114],"A":[117],"discussion":[118],"numerical":[121],"example":[122],"concludes":[123],"paper.":[125]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
