{"id":"https://openalex.org/W3175092037","doi":"https://doi.org/10.3233/jifs-210584","title":"Two-parameter KNN algorithm and its application in recognition of brand rice","display_name":"Two-parameter KNN algorithm and its application in recognition of brand rice","publication_year":2021,"publication_date":"2021-06-18","ids":{"openalex":"https://openalex.org/W3175092037","doi":"https://doi.org/10.3233/jifs-210584","mag":"3175092037"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-210584","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-210584","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 & Fuzzy Systems","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/A5101490222","display_name":"Siyu Zhu","orcid":"https://orcid.org/0000-0002-7579-1375"},"institutions":[{"id":"https://openalex.org/I3129996945","display_name":"Guilin University of Aerospace Technology","ror":"https://ror.org/00h1gc758","country_code":"CN","type":"education","lineage":["https://openalex.org/I3129996945"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyu Zhu","raw_affiliation_strings":["School of Management, Guilin University ofAerospace Technology, Guilin, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Management, Guilin University ofAerospace Technology, Guilin, P. R. China","institution_ids":["https://openalex.org/I3129996945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100959202","display_name":"Chongnan He","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I4210165204","display_name":"Zhuhai Institute of Advanced Technology","ror":"https://ror.org/05r1mzq61","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761","https://openalex.org/I4210165204"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chongnan He","raw_affiliation_strings":["School of Applied Science and Civil Engineering, Beijing Institute of Technology Zhuhai, Tangjiawan, Zhuhai, Guangdong Province, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Applied Science and Civil Engineering, Beijing Institute of Technology Zhuhai, Tangjiawan, Zhuhai, Guangdong Province, P. R. China","institution_ids":["https://openalex.org/I4210165204","https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101645567","display_name":"mingjuan song","orcid":"https://orcid.org/0009-0001-2335-9660"},"institutions":[{"id":"https://openalex.org/I4210165204","display_name":"Zhuhai Institute of Advanced Technology","ror":"https://ror.org/05r1mzq61","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761","https://openalex.org/I4210165204"]},{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingjuan Song","raw_affiliation_strings":["School of Applied Science and Civil Engineering, Beijing Institute of Technology Zhuhai, Tangjiawan, Zhuhai, Guangdong Province, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Applied Science and Civil Engineering, Beijing Institute of Technology Zhuhai, Tangjiawan, Zhuhai, Guangdong Province, P. R. China","institution_ids":["https://openalex.org/I4210165204","https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033853101","display_name":"Linna Li","orcid":"https://orcid.org/0000-0002-3241-3243"},"institutions":[{"id":"https://openalex.org/I3129996945","display_name":"Guilin University of Aerospace Technology","ror":"https://ror.org/00h1gc758","country_code":"CN","type":"education","lineage":["https://openalex.org/I3129996945"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linna Li","raw_affiliation_strings":["School of Management, Guilin University ofAerospace Technology, Guilin, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Management, Guilin University ofAerospace Technology, Guilin, P. R. China","institution_ids":["https://openalex.org/I3129996945"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101645567"],"corresponding_institution_ids":["https://openalex.org/I125839683","https://openalex.org/I4210165204"],"apc_list":null,"apc_paid":null,"fwci":0.2337,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.46192937,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"41","issue":"1","first_page":"1837","last_page":"1843"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T12388","display_name":"Identification and Quantification in Food","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7262420654296875},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.6614465713500977},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6546767950057983},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6286931037902832},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6120327711105347},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5211103558540344},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4363555908203125},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.4352661371231079},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4332998991012573},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4179638624191284},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.417458176612854},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4170500636100769},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.41036903858184814},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.335116446018219}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7262420654296875},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.6614465713500977},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6546767950057983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6286931037902832},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6120327711105347},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5211103558540344},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4363555908203125},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.4352661371231079},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4332998991012573},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4179638624191284},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.417458176612854},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4170500636100769},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.41036903858184814},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.335116446018219},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-210584","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-210584","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 & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1587559447","https://openalex.org/W2363771051","https://openalex.org/W2576679079","https://openalex.org/W3081704909","https://openalex.org/W3094210701","https://openalex.org/W3137233198","https://openalex.org/W4313169793"],"related_works":["https://openalex.org/W2350751952","https://openalex.org/W2362114017","https://openalex.org/W1999647744","https://openalex.org/W2794812819","https://openalex.org/W2114217318","https://openalex.org/W3147024994","https://openalex.org/W1978302214","https://openalex.org/W2587881214","https://openalex.org/W3104072235","https://openalex.org/W1995622179"],"abstract_inverted_index":{"In":[0,113,206],"response":[1],"to":[2,15,52,67,115,133,190],"the":[3,10,22,35,44,54,75,90,118,150,157,160,169,176,181,188,194,201,207,212],"frequent":[4],"counterfeiting":[5],"of":[6,26,29,32,74,84,92,107,159,162,178,183,209,215,224,228],"Wuchang":[7],"rice":[8,18,33,70],"in":[9,164,168],"market,":[11],"an":[12],"effective":[13],"method":[14,138,148],"identify":[16,68],"brand":[17,69,210],"is":[19,86,109,125,131,197,204,219],"proposed.":[20],"Taking":[21],"near-infrared":[23],"spectroscopy":[24],"data":[25],"a":[27,135],"total":[28],"373":[30],"grains":[31],"from":[34],"four":[36],"origins":[37],"(Wuchang,":[38],"Shangzhi,":[39],"Yanshou,":[40],"and":[41,56,60,82,104,127,187,200,226],"Fangzheng)":[42],"as":[43],"observations,":[45],"kernel":[46],"principal":[47],"component":[48],"analysis(KPCA)":[49],"was":[50],"employed":[51,132],"reduce":[53],"dimensionality,":[55],"Fisher":[57],"discriminant":[58,213],"analysis(FDA)":[59],"k-nearest":[61,122,170],"neighbor":[62,123,171],"algorithm":[63,218],"(KNN)":[64],"were":[65],"used":[66],"respectively.":[71],"The":[72],"effects":[73],"two":[76],"recognition":[77,119,137,195,202],"methods":[78],"are":[79,94],"very":[80],"good,":[81],"that":[83,223,227],"KNN":[85,93,140,145,217,229],"relatively":[87],"better.":[88],"Howerver":[89],"shortcomings":[91],"obvious.":[95],"For":[96],"instance,":[97],"it":[98],"has":[99],"only":[100,155],"one":[101],"test":[102,106],"dimension":[103],"its":[105],"samples":[108,163],"not":[110,154],"delicate":[111,199],"enough.":[112],"order":[114],"further":[116],"improve":[117],"accuracy,":[120],"fuzzy":[121,128],"set":[124],"defined":[126],"probability":[129],"theory":[130],"get":[134],"new":[136],"\u2013Two-Parameter":[139],"discrimination":[141],"method.":[142],"Compared":[143],"with":[144],"algorithm,":[146],"this":[147],"increases":[149],"examination":[151],"dimension.":[152],"It":[153],"examines":[156,175],"proportion":[158],"number":[161],"each":[165,184],"pattern":[166,185],"class":[167,186],"set,":[172],"but":[173],"also":[174],"degree":[177],"similarity":[179],"between":[180],"center":[182],"sample":[189],"be":[191],"identified.":[192],"Therefore,":[193],"process":[196],"more":[198],"accuracy":[203,214],"higher.":[205],"identification":[208],"rice,":[211],"Two-Parameter":[216],"significantly":[220],"higher":[221],"than":[222],"FDA":[225],"algorithm.":[230]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}