{"id":"https://openalex.org/W4292431449","doi":"https://doi.org/10.3233/jifs-212525","title":"Soybean price forecasting based on Lasso and regularized asymmetric <i>\u03bd</i> -TSVR","display_name":"Soybean price forecasting based on Lasso and regularized asymmetric <i>\u03bd</i> -TSVR","publication_year":2022,"publication_date":"2022-05-22","ids":{"openalex":"https://openalex.org/W4292431449","doi":"https://doi.org/10.3233/jifs-212525"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-212525","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-212525","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems: Applications in Engineering and Technology","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/A5101495151","display_name":"Chang Xu","orcid":"https://orcid.org/0000-0002-8764-3548"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Xu","raw_affiliation_strings":["China Agricultural University","College of Information and Electrical Engineering, China Agricultural University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Agricultural University","institution_ids":["https://openalex.org/I52158045"]},{"raw_affiliation_string":"College of Information and Electrical Engineering, China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374466","display_name":"Bo Li","orcid":"https://orcid.org/0000-0002-8452-5757"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Li","raw_affiliation_strings":["China Agricultural University","College of Information and Electrical Engineering, China Agricultural University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Agricultural University","institution_ids":["https://openalex.org/I52158045"]},{"raw_affiliation_string":"College of Information and Electrical Engineering, China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103002252","display_name":"Lingxian Zhang","orcid":"https://orcid.org/0000-0002-8665-7075"},"institutions":[{"id":"https://openalex.org/I4210151987","display_name":"Ministry of Agriculture and Rural Affairs","ror":"https://ror.org/05ckt8b96","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lingxian Zhang","raw_affiliation_strings":["China Agricultural University","Key Laboratory of Agricultural Informationization Standardization, Ministry of Agriculture and Rural Affairs, Beijing, China","College of Information and Electrical Engineering, China Agricultural University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Agricultural University","institution_ids":["https://openalex.org/I52158045"]},{"raw_affiliation_string":"Key Laboratory of Agricultural Informationization Standardization, Ministry of Agriculture and Rural Affairs, Beijing, China","institution_ids":["https://openalex.org/I4210151987"]},{"raw_affiliation_string":"College of Information and Electrical Engineering, China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103002252"],"corresponding_institution_ids":["https://openalex.org/I4210151987","https://openalex.org/I52158045"],"apc_list":null,"apc_paid":null,"fwci":0.2346,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49217495,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"43","issue":"4","first_page":"4859","last_page":"4872"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9708999991416931,"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"}},"topics":[{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9708999991416931,"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"}},{"id":"https://openalex.org/T12771","display_name":"Plant pathogens and resistance mechanisms","score":0.9286999702453613,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9233999848365784,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.6946165561676025},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6411228775978088},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6068177223205566},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5225924253463745},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4699830114841461},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.44727662205696106},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.43812328577041626},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.437646746635437},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.4320116639137268},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4249260127544403},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.36009669303894043},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30871206521987915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28431108593940735},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21571016311645508}],"concepts":[{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.6946165561676025},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6411228775978088},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6068177223205566},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5225924253463745},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4699830114841461},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.44727662205696106},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.43812328577041626},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.437646746635437},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.4320116639137268},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4249260127544403},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36009669303894043},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30871206521987915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28431108593940735},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21571016311645508},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-212525","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-212525","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems: Applications in Engineering and Technology","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":44,"referenced_works":["https://openalex.org/W1565746575","https://openalex.org/W1598534615","https://openalex.org/W1934171098","https://openalex.org/W1973560868","https://openalex.org/W2021123883","https://openalex.org/W2030604633","https://openalex.org/W2033741689","https://openalex.org/W2060897523","https://openalex.org/W2062643034","https://openalex.org/W2083113780","https://openalex.org/W2119862467","https://openalex.org/W2158994553","https://openalex.org/W2161920802","https://openalex.org/W2170860445","https://openalex.org/W2321328005","https://openalex.org/W2346811309","https://openalex.org/W2357662543","https://openalex.org/W2610063485","https://openalex.org/W2768165259","https://openalex.org/W2808626748","https://openalex.org/W2889386826","https://openalex.org/W2889862419","https://openalex.org/W2889880961","https://openalex.org/W2905543053","https://openalex.org/W2933225096","https://openalex.org/W2941273009","https://openalex.org/W2946461644","https://openalex.org/W2953368218","https://openalex.org/W2955625801","https://openalex.org/W3013187307","https://openalex.org/W3023425799","https://openalex.org/W3043008751","https://openalex.org/W3046848818","https://openalex.org/W3093953514","https://openalex.org/W3120139461","https://openalex.org/W3126241812","https://openalex.org/W3182635198","https://openalex.org/W6671398975","https://openalex.org/W6700350341","https://openalex.org/W6754224568","https://openalex.org/W6757769033","https://openalex.org/W6765522386","https://openalex.org/W6784871699","https://openalex.org/W6980090059"],"related_works":["https://openalex.org/W169774068","https://openalex.org/W2389118833","https://openalex.org/W4251095006","https://openalex.org/W2098337454","https://openalex.org/W2800240633","https://openalex.org/W4221138029","https://openalex.org/W2782626305","https://openalex.org/W2039944430","https://openalex.org/W2209337698","https://openalex.org/W3125878142"],"abstract_inverted_index":{"Asymmetric":[0],"\u03bd":[1,7,43,46,73,120,166],"-twin":[2],"Support":[3],"vector":[4],"regression":[5,12],"(Asy-":[6],"-TSVR)":[8,47],"is":[9,19,30,48,79,122,169],"an":[10],"effective":[11,170],"model":[13,168],"in":[14,50,141],"price":[15,92],"prediction.":[16],"However,":[17],"there":[18],"a":[20,40,76],"matrix":[21],"inverse":[22],"operation":[23],"when":[24],"solving":[25],"its":[26],"dual":[27],"problem.":[28,56],"It":[29,130],"well":[31],"known":[32],"that":[33],"it":[34,88,149],"may":[35],"be":[36],"not":[37],"reversible,":[38],"therefore":[39],"regularized":[41],"asymmetric":[42],"-TSVR":[44,121,167],"(RAsy-":[45],"proposed":[49,71],"this":[51],"paper":[52],"to":[53,65,80,89,99,124],"avoid":[54],"above":[55],"Numerical":[57],"experiments":[58],"on":[59],"eight":[60],"Benchmark":[61],"datasets":[62],"are":[63],"conducted":[64],"demonstrate":[66],"the":[67,83,97,101,113,126,132,143,155,161,172],"validity":[68],"of":[69,104],"our":[70],"RAsy-":[72,119,165],"-TSVR.":[74],"Moreover,":[75],"statistical":[77],"test":[78],"further":[81],"show":[82],"effectiveness.":[84],"Before":[85],"we":[86,94],"apply":[87],"Chinese":[90,127,173],"soybean":[91,105,128,174],"forecasting,":[93],"firstly":[95],"employ":[96],"Lasso":[98,163],"analyze":[100],"influence":[102],"factors":[103,111],"price,":[106],"and":[107,145,164],"select":[108],"21":[109],"important":[110],"from":[112],"original":[114],"25":[115],"factors.":[116],"And":[117],"then":[118],"used":[123],"forecast":[125],"price.":[129,175],"yields":[131],"lowest":[133],"prediction":[134,152],"error":[135,153],"compared":[136],"with":[137],"other":[138],"four":[139],"models":[140],"both":[142],"training":[144],"testing":[146],"phases.":[147],"Meanwhile":[148],"produces":[150],"lower":[151],"after":[154],"feature":[156],"selection":[157],"than":[158],"before.":[159],"So":[160],"combined":[162],"for":[171]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
