{"id":"https://openalex.org/W2083160217","doi":"https://doi.org/10.1117/12.2031626","title":"Optimal decision making modeling for copper-matte Peirce-Smith converting process by means of data mining","display_name":"Optimal decision making modeling for copper-matte Peirce-Smith converting process by means of data mining","publication_year":2013,"publication_date":"2013-07-19","ids":{"openalex":"https://openalex.org/W2083160217","doi":"https://doi.org/10.1117/12.2031626","mag":"2083160217"},"language":"en","primary_location":{"id":"doi:10.1117/12.2031626","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2031626","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5020773021","display_name":"Yanpo Song","orcid":"https://orcid.org/0000-0003-0246-8566"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanpo Song","raw_affiliation_strings":["Central South Univ. (China)","Central South University (China)"],"affiliations":[{"raw_affiliation_string":"Central South Univ. (China)","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"Central South University (China)","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017393711","display_name":"Xiaoqi Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqi Peng","raw_affiliation_strings":["Central South Univ. (China)","Central South University (China)"],"affiliations":[{"raw_affiliation_string":"Central South Univ. (China)","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"Central South University (China)","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053603397","display_name":"Ying Tang","orcid":"https://orcid.org/0000-0003-2381-5889"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Tang","raw_affiliation_strings":["Central South Univ. (China)","Central South University (China)"],"affiliations":[{"raw_affiliation_string":"Central South Univ. (China)","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"Central South University (China)","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086534867","display_name":"Zhikun Hu","orcid":"https://orcid.org/0009-0002-4127-6284"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhikun Hu","raw_affiliation_strings":["Central South Univ. (China)","Central South University (China)"],"affiliations":[{"raw_affiliation_string":"Central South Univ. (China)","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"Central South University (China)","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5020773021"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.18097527,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"8878","issue":null,"first_page":"88781F","last_page":"88781F"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11126","display_name":"Metallurgical Processes and Thermodynamics","score":0.8596000075340271,"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/T11126","display_name":"Metallurgical Processes and Thermodynamics","score":0.8596000075340271,"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/T14262","display_name":"Extenics and Innovation Methods","score":0.7864999771118164,"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"}},{"id":"https://openalex.org/T14474","display_name":"Industrial Technology and Control Systems","score":0.7588000297546387,"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/computer-science","display_name":"Computer science","score":0.6503275632858276},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5888487100601196},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5489998459815979},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5318187475204468},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5222890377044678},{"id":"https://openalex.org/keywords/optimal-decision","display_name":"Optimal decision","score":0.4121890664100647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36185771226882935},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3568401336669922},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.2158437967300415},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08481672406196594}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6503275632858276},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5888487100601196},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5489998459815979},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5318187475204468},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5222890377044678},{"id":"https://openalex.org/C150325174","wikidata":"https://www.wikidata.org/wiki/Q4335500","display_name":"Optimal decision","level":3,"score":0.4121890664100647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36185771226882935},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3568401336669922},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.2158437967300415},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08481672406196594},{"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:10.1117/12.2031626","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2031626","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5400000214576721}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W2391251536","https://openalex.org/W2362198218","https://openalex.org/W1982750869","https://openalex.org/W2019521278","https://openalex.org/W1984922432","https://openalex.org/W2113077220","https://openalex.org/W2375008505","https://openalex.org/W2085756966","https://openalex.org/W2350679292"],"abstract_inverted_index":{"To":[0],"improve":[1,112],"the":[2,8,28,31,59,83,113,120],"operation":[3],"level":[4],"of":[5,27,30,62,94,116],"copper":[6],"converter,":[7],"approach":[9],"to":[10,126],"optimal":[11,87,121],"decision":[12,63,88],"making":[13,64,89],"modeling":[14,52],"for":[15,91],"coppermatte":[16],"converting":[17,114],"process":[18,32],"based":[19],"on":[20],"data":[21,81],"mining":[22],"is":[23,54],"studied:":[24],"in":[25],"view":[26],"characteristics":[29],"data,":[33],"such":[34],"as":[35],"containing":[36],"noise,":[37],"small":[38],"sample":[39],"size":[40],"and":[41,73,82],"so":[42],"on,":[43],"a":[44],"new":[45,67],"robust":[46],"improved":[47],"ANN":[48],"(artificial":[49],"neural":[50],"network)":[51],"method":[53],"proposed;":[55,77],"taking":[56],"into":[57],"account":[58],"application":[60],"purpose":[61],"model,":[65],"three":[66],"evaluation":[68],"indexes":[69],"named":[70],"support,":[71],"confidence":[72,75],"relative":[74],"are":[76,102],"using":[78],"real":[79],"production":[80],"methods":[84],"mentioned":[85],"above,":[86],"model":[90,109],"blowing":[92],"time":[93],"S1":[95,117],"period":[96],"(the":[97],"1st":[98],"slag":[99],"producing":[100],"period)":[101],"developed.":[103],"Simulation":[104],"results":[105],"show":[106],"that":[107],"this":[108],"can":[110],"significantly":[111],"quality":[115],"period,":[118],"increase":[119],"probability":[122],"from":[123],"about":[124,127],"70%":[125],"85%.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
