{"id":"https://openalex.org/W1999284929","doi":"https://doi.org/10.1142/s1793962313500268","title":"Improved knowledge-based neural network (KBNN) model for predicting spring-back angles in metal sheet bending","display_name":"Improved knowledge-based neural network (KBNN) model for predicting spring-back angles in metal sheet bending","publication_year":2013,"publication_date":"2013-08-11","ids":{"openalex":"https://openalex.org/W1999284929","doi":"https://doi.org/10.1142/s1793962313500268","mag":"1999284929"},"language":"en","primary_location":{"id":"doi:10.1142/s1793962313500268","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793962313500268","pdf_url":null,"source":{"id":"https://openalex.org/S107361000","display_name":"Advances in Complex Systems","issn_l":"0219-5259","issn":["0219-5259","1793-6802","1793-9615","1793-9623"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Modeling, Simulation, and Scientific Computing","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/A5031947253","display_name":"Tinh Quoc Bui","orcid":"https://orcid.org/0000-0002-6426-6639"},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Tinh Quoc Bui","raw_affiliation_strings":["Department of Civil Engineering, University of Siegen, Paul-Bontz-Str. 9-11, 57076, Siegen, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, University of Siegen, Paul-Bontz-Str. 9-11, 57076, Siegen, Germany","institution_ids":["https://openalex.org/I206895457"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060674002","display_name":"Anh Viet Tran","orcid":null},"institutions":[{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Anh Viet Tran","raw_affiliation_strings":["School of Mechanical and Automotive Engineering, University of Ulsan, San 29, Mugeo 2-dong, Namgu, P. O. Box 18, Ulsan, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Automotive Engineering, University of Ulsan, San 29, Mugeo 2-dong, Namgu, P. O. Box 18, Ulsan, South Korea","institution_ids":["https://openalex.org/I40542001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043561269","display_name":"Abid Ali Shah","orcid":"https://orcid.org/0000-0001-7740-9427"},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Abid Ali Shah","raw_affiliation_strings":["Department of Civil Engineering, University of Siegen, Paul-Bontz-Str. 9-11, 57076, Siegen, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, University of Siegen, Paul-Bontz-Str. 9-11, 57076, Siegen, Germany","institution_ids":["https://openalex.org/I206895457"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031947253"],"corresponding_institution_ids":["https://openalex.org/I206895457"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.11413307,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"05","issue":"02","first_page":"1350026","last_page":"1350026"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10700","display_name":"Metal Forming Simulation Techniques","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10700","display_name":"Metal Forming Simulation Techniques","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10188","display_name":"Advanced machining processes and optimization","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13965","display_name":"Laser and Thermal Forming Techniques","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/artificial-neural-network","display_name":"Artificial neural network","score":0.8203250169754028},{"id":"https://openalex.org/keywords/finite-element-method","display_name":"Finite element method","score":0.7343696355819702},{"id":"https://openalex.org/keywords/bending","display_name":"Bending","score":0.655058741569519},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5873311758041382},{"id":"https://openalex.org/keywords/spring","display_name":"Spring (device)","score":0.5775333046913147},{"id":"https://openalex.org/keywords/sheet-metal","display_name":"Sheet metal","score":0.566429853439331},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49533525109291077},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4766210615634918},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.4538974165916443},{"id":"https://openalex.org/keywords/empirical-modelling","display_name":"Empirical modelling","score":0.4134896397590637},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.38550931215286255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3402959108352661},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3366391658782959},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24525868892669678},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.17731937766075134}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.8203250169754028},{"id":"https://openalex.org/C135628077","wikidata":"https://www.wikidata.org/wiki/Q220184","display_name":"Finite element method","level":2,"score":0.7343696355819702},{"id":"https://openalex.org/C87210426","wikidata":"https://www.wikidata.org/wiki/Q1072476","display_name":"Bending","level":2,"score":0.655058741569519},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5873311758041382},{"id":"https://openalex.org/C2778712887","wikidata":"https://www.wikidata.org/wiki/Q102836","display_name":"Spring (device)","level":2,"score":0.5775333046913147},{"id":"https://openalex.org/C2779747408","wikidata":"https://www.wikidata.org/wiki/Q211367","display_name":"Sheet metal","level":2,"score":0.566429853439331},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49533525109291077},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4766210615634918},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.4538974165916443},{"id":"https://openalex.org/C133199616","wikidata":"https://www.wikidata.org/wiki/Q25386885","display_name":"Empirical modelling","level":2,"score":0.4134896397590637},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.38550931215286255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3402959108352661},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3366391658782959},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24525868892669678},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.17731937766075134},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s1793962313500268","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793962313500268","pdf_url":null,"source":{"id":"https://openalex.org/S107361000","display_name":"Advances in Complex Systems","issn_l":"0219-5259","issn":["0219-5259","1793-6802","1793-9615","1793-9623"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Modeling, Simulation, and Scientific Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1497256448","https://openalex.org/W1573873327","https://openalex.org/W1966516236","https://openalex.org/W1967970513","https://openalex.org/W1995994366","https://openalex.org/W2004534864","https://openalex.org/W2033668934","https://openalex.org/W2036192554","https://openalex.org/W2046793233","https://openalex.org/W2072578221","https://openalex.org/W2073217077","https://openalex.org/W2085157900","https://openalex.org/W2086520645","https://openalex.org/W2154862969","https://openalex.org/W2155482699","https://openalex.org/W2165062650"],"related_works":["https://openalex.org/W2555356437","https://openalex.org/W2417891382","https://openalex.org/W2081715177","https://openalex.org/W2435007635","https://openalex.org/W2391384657","https://openalex.org/W2121186109","https://openalex.org/W2389737458","https://openalex.org/W2040967346","https://openalex.org/W2502494188","https://openalex.org/W1999284929"],"abstract_inverted_index":{"We":[0],"develop":[1],"an":[2],"efficiently":[3],"improved":[4],"knowledge-based":[5],"neural":[6,50],"network":[7,51],"(KBNN)":[8],"associated":[9],"with":[10],"optimization":[11],"algorithms":[12],"and":[13,30,48,89],"finite":[14],"element":[15],"analysis":[16],"(FEA)":[17],"to":[18,73],"accurately":[19,81],"predict":[20],"spring-back":[21,87],"angles":[22,88],"in":[23],"metal":[24],"sheet":[25],"bending.":[26],"The":[27,38,54,77,92],"well-known":[28],"V":[29],"U":[31],"prevalent":[32],"processes":[33],"of":[34],"bending":[35],"are":[36,42,95],"considered.":[37],"KBNN":[39,79],"predictive":[40],"results":[41,62,94],"based":[43],"on":[44],"the":[45,60,68,75,83,86],"empirical":[46,55],"model":[47,56,82],"artificial":[49],"(ANN)":[52],"modeling.":[53],"is":[57,71],"constructed":[58],"from":[59],"FEA":[61],"using":[63],"response":[64],"surface":[65],"method,":[66],"while":[67],"multilayer":[69],"perceptron":[70],"employed":[72],"create":[74],"ANN.":[76],"trained":[78],"can":[80],"relationship":[84],"between":[85],"process":[90],"parameters.":[91],"obtained":[93],"validated":[96],"against":[97],"other":[98],"existing":[99],"methods":[100],"showing":[101],"a":[102],"high":[103],"accuracy.":[104]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
