{"id":"https://openalex.org/W2548651796","doi":"https://doi.org/10.1109/icawst.2011.6163122","title":"Modeling of yield strength for IF steel based on BP neural network","display_name":"Modeling of yield strength for IF steel based on BP neural network","publication_year":2011,"publication_date":"2011-09-01","ids":{"openalex":"https://openalex.org/W2548651796","doi":"https://doi.org/10.1109/icawst.2011.6163122","mag":"2548651796"},"language":"en","primary_location":{"id":"doi:10.1109/icawst.2011.6163122","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2011.6163122","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 3rd International Conference on Awareness Science and Technology (iCAST)","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Wang Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I114117164","display_name":"University of Science and Technology Liaoning","ror":"https://ror.org/03grx7119","country_code":"CN","type":"education","lineage":["https://openalex.org/I114117164"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Jin","raw_affiliation_strings":["School of Electronic and Information Engineering, University of Science and Technology, Anshan, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, University of Science and Technology, Anshan, Liaoning, China","institution_ids":["https://openalex.org/I114117164"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101640056","display_name":"Qiang Qu","orcid":"https://orcid.org/0000-0003-4442-1133"},"institutions":[{"id":"https://openalex.org/I114117164","display_name":"University of Science and Technology Liaoning","ror":"https://ror.org/03grx7119","country_code":"CN","type":"education","lineage":["https://openalex.org/I114117164"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qu Qiang","raw_affiliation_strings":["School of Electronic and Information Engineering, University of Science and Technology, Anshan, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, University of Science and Technology, Anshan, Liaoning, China","institution_ids":["https://openalex.org/I114117164"]}]},{"author_position":"last","author":{"id":null,"display_name":"Liu Yandong","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Yandong","raw_affiliation_strings":["School of Materials and Metallurgical Engineering, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Materials and Metallurgical Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":null,"first_page":"107","last_page":"110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11201","display_name":"Metallurgy and Material Forming","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T11201","display_name":"Metallurgy and Material Forming","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T10386","display_name":"Microstructure and Mechanical Properties of Steels","score":0.9993000030517578,"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/T12427","display_name":"Metal Alloys Wear and Properties","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials 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":0.8111458420753479},{"id":"https://openalex.org/keywords/yield","display_name":"Yield (engineering)","score":0.5722849369049072},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.572231650352478},{"id":"https://openalex.org/keywords/microstructure","display_name":"Microstructure","score":0.5632672309875488},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.5129634737968445},{"id":"https://openalex.org/keywords/raw-material","display_name":"Raw material","score":0.4706125855445862},{"id":"https://openalex.org/keywords/ferrite","display_name":"Ferrite (magnet)","score":0.44379252195358276},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.4312358796596527},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.39342713356018066},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38348913192749023},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.25745174288749695},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25073182582855225},{"id":"https://openalex.org/keywords/metallurgy","display_name":"Metallurgy","score":0.1748780608177185},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.1560346782207489}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.8111458420753479},{"id":"https://openalex.org/C134121241","wikidata":"https://www.wikidata.org/wiki/Q899301","display_name":"Yield (engineering)","level":2,"score":0.5722849369049072},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.572231650352478},{"id":"https://openalex.org/C87976508","wikidata":"https://www.wikidata.org/wiki/Q1498213","display_name":"Microstructure","level":2,"score":0.5632672309875488},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.5129634737968445},{"id":"https://openalex.org/C206139338","wikidata":"https://www.wikidata.org/wiki/Q192355","display_name":"Raw material","level":2,"score":0.4706125855445862},{"id":"https://openalex.org/C37210646","wikidata":"https://www.wikidata.org/wiki/Q5105088","display_name":"Ferrite (magnet)","level":2,"score":0.44379252195358276},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.4312358796596527},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.39342713356018066},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38348913192749023},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25745174288749695},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25073182582855225},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.1748780608177185},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.1560346782207489},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icawst.2011.6163122","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2011.6163122","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 3rd International Conference on Awareness Science and Technology (iCAST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1966547205","https://openalex.org/W2005908092","https://openalex.org/W2073426895","https://openalex.org/W2124776405"],"related_works":["https://openalex.org/W4239286941","https://openalex.org/W2088845016","https://openalex.org/W589102260","https://openalex.org/W1966421350","https://openalex.org/W1863534956","https://openalex.org/W2128396103","https://openalex.org/W1868434454","https://openalex.org/W4366984740","https://openalex.org/W4366985237","https://openalex.org/W4367365565"],"abstract_inverted_index":{"Deep-drawn":[0],"interfacial":[1],"free":[2],"(IF)":[3],"steel":[4],"is":[5,27,46],"one":[6],"of":[7,67,75,88,92,103,113,127,141],"the":[8,13,18,31,40,55,59,62,68,72,76,81,96,104,108,114,121,123,128,139],"important":[9],"raw":[10],"materials":[11],"in":[12],"automotive":[14],"industry.":[15],"Due":[16],"to":[17,29,48,53,57],"complex":[19],"production":[20],"processes":[21],"and":[22,36,64,107],"numerous":[23],"influence":[24],"factors,":[25],"it":[26,45],"difficult":[28],"construct":[30,54],"predicted":[32],"model":[33,56],"between":[34,61],"microstructure":[35,63],"yield":[37,65],"strength":[38,66],"using":[39],"quantitative":[41],"mathematical":[42],"method.":[43],"So,":[44],"proposed":[47],"use":[49],"BP":[50,77,129],"neural":[51,78,130],"network":[52,79,131],"describe":[58],"relationship":[60],"IF":[69],"steel.":[70],"And":[71],"learning":[73],"properties":[74],"under":[80],"different":[82],"inputs":[83],"are":[84,118],"surveyed":[85],"by":[86],"means":[87],"simulations.":[89],"The":[90],"results":[91],"simulation":[93],"show":[94],"when":[95],"size,":[97,109],"distribution":[98,110],"uniformity":[99,111],"degree,":[100],"shape":[101],"factor":[102],"ferrite":[105],"grain":[106],"degree":[112],"second":[115],"phase":[116],"particle":[117],"used":[119],"as":[120],"input,":[122],"average":[124],"relative":[125],"error":[126],"can":[132,137],"arrives":[133],"at":[134],"2.2%,":[135],"which":[136],"meet":[138],"need":[140],"practical":[142],"production.":[143]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}