{"id":"https://openalex.org/W3092345033","doi":"https://doi.org/10.1109/case48305.2020.9216888","title":"Multi-model fusion based on Stacking: A predictive model for the price trend of natural rubber","display_name":"Multi-model fusion based on Stacking: A predictive model for the price trend of natural rubber","publication_year":2020,"publication_date":"2020-08-01","ids":{"openalex":"https://openalex.org/W3092345033","doi":"https://doi.org/10.1109/case48305.2020.9216888","mag":"3092345033"},"language":"en","primary_location":{"id":"doi:10.1109/case48305.2020.9216888","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case48305.2020.9216888","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)","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/A5110817452","display_name":"Hong-Bo Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongbo Fan","raw_affiliation_strings":["School of Mechanical Engineering and Department of Industrial Engineering & Management, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Department of Industrial Engineering & Management, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100879313","display_name":"Xiaosong Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaosong Luo","raw_affiliation_strings":["School of Mechanical Engineering and Department of Industrial Engineering & Management, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Department of Industrial Engineering & Management, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043291162","display_name":"Poly Z. H. Sun","orcid":"https://orcid.org/0000-0001-6156-1766"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao-Hui Sun","raw_affiliation_strings":["School of Mechanical Engineering and Department of Industrial Engineering & Management, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Department of Industrial Engineering & Management, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088134544","display_name":"Xin Yuan","orcid":"https://orcid.org/0000-0001-6616-9640"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Yuan","raw_affiliation_strings":["School of Mechanical Engineering and Department of Industrial Engineering & Management, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Department of Industrial Engineering & Management, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101875332","display_name":"Siqi Qiu","orcid":"https://orcid.org/0000-0002-0387-1691"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siqi Qiu","raw_affiliation_strings":["School of Mechanical Engineering and Department of Industrial Engineering & Management, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Department of Industrial Engineering & Management, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5110817452"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.7181,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.75175241,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1237","last_page":"1242"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9797999858856201,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9797999858856201,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12368","display_name":"Grey System Theory Applications","score":0.9419000148773193,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10357","display_name":"Efficiency Analysis Using DEA","score":0.9362000226974487,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/natural-rubber","display_name":"Natural rubber","score":0.7306458353996277},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.5579038858413696},{"id":"https://openalex.org/keywords/procurement","display_name":"Procurement","score":0.5509192943572998},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.5406825542449951},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5013418197631836},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4745170474052429},{"id":"https://openalex.org/keywords/manufacturing","display_name":"Manufacturing","score":0.4498365521430969},{"id":"https://openalex.org/keywords/industrial-organization","display_name":"Industrial organization","score":0.4209933280944824},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.33170658349990845},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.2949109673500061},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23180827498435974},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20977842807769775},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.18756988644599915},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.1598387062549591},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.13644438982009888},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.08799347281455994}],"concepts":[{"id":"https://openalex.org/C176933379","wikidata":"https://www.wikidata.org/wiki/Q131877","display_name":"Natural rubber","level":2,"score":0.7306458353996277},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.5579038858413696},{"id":"https://openalex.org/C201650216","wikidata":"https://www.wikidata.org/wiki/Q829492","display_name":"Procurement","level":2,"score":0.5509192943572998},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.5406825542449951},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5013418197631836},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4745170474052429},{"id":"https://openalex.org/C175700187","wikidata":"https://www.wikidata.org/wiki/Q187939","display_name":"Manufacturing","level":2,"score":0.4498365521430969},{"id":"https://openalex.org/C40700","wikidata":"https://www.wikidata.org/wiki/Q1411783","display_name":"Industrial organization","level":1,"score":0.4209933280944824},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.33170658349990845},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.2949109673500061},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23180827498435974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20977842807769775},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.18756988644599915},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.1598387062549591},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.13644438982009888},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.08799347281455994},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/case48305.2020.9216888","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case48305.2020.9216888","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2078455576","https://openalex.org/W2118142823","https://openalex.org/W2157964129","https://openalex.org/W2295598076","https://openalex.org/W2586354609","https://openalex.org/W2758620441","https://openalex.org/W2769768260","https://openalex.org/W2789644788","https://openalex.org/W2812669263","https://openalex.org/W2894323078","https://openalex.org/W2954591242","https://openalex.org/W6667484985","https://openalex.org/W6748752256"],"related_works":["https://openalex.org/W2109252598","https://openalex.org/W886882817","https://openalex.org/W1512878983","https://openalex.org/W2326594127","https://openalex.org/W4290989699","https://openalex.org/W4255766185","https://openalex.org/W2354793777","https://openalex.org/W4382807753","https://openalex.org/W1520120059","https://openalex.org/W1990120177"],"abstract_inverted_index":{"Natural":[0],"rubber":[1,46,72,83,90,150],"plays":[2],"the":[3,15,39,69,76,79,88,126,136,146],"most":[4],"important":[5,12,143],"role":[6],"in":[7,14,54,66,75],"manufacturing.":[8],"It":[9],"has":[10,29],"an":[11,142],"position":[13],"automobile":[16],"tire":[17],"industry,":[18,41,78],"sealing":[19],"industry":[20],"and":[21,36,59,87,112,130],"daily":[22],"necessities":[23],"industry.":[24],"Therefore,":[25],"its":[26],"price":[27,73,91],"trend":[28],"a":[30,42,51,121],"major":[31],"impact":[32],"on":[33],"industrial":[34],"output":[35],"economy.":[37],"For":[38],"manufacturing":[40,77],"reasonable":[43],"forecast":[44],"of":[45,94,99,148],"prices":[47,84],"will":[48],"give":[49],"enterprises":[50],"huge":[52],"advantage":[53],"planning":[55],"production,":[56],"reducing":[57],"costs":[58],"improving":[60],"production":[61],"efficiency.":[62],"In":[63],"this":[64],"paper,":[65],"response":[67],"to":[68,109,124,134],"demand":[70],"for":[71,145],"forecasts":[74],"relevant":[80],"factors":[81],"affecting":[82],"are":[85,104],"analyzed,":[86],"natural":[89,149],"data":[92,110],"sets":[93,98],"more":[95],"than":[96],"500":[97],"variables":[100],"spanning":[101],"10":[102],"years":[103],"collected.":[105],"The":[106],"work":[107],"related":[108],"preprocessing":[111],"feature":[113],"selection":[114],"was":[115,118],"completed.":[116],"XGBoost":[117],"used":[119],"as":[120],"super":[122],"model":[123],"integrate":[125],"Random":[127],"Forest,":[128],"Adaboost":[129],"LSTM":[131],"base":[132],"models":[133],"obtain":[135],"final":[137],"Stacking":[138],"model.":[139],"And":[140],"provides":[141],"reference":[144],"development":[147],"procurement":[151],"strategy.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}