{"id":"https://openalex.org/W2151049321","doi":"https://doi.org/10.4304/jcp.9.4.947-955","title":"Mixed Kernel Twin Support Vector Machines Based on the Shuffled Frog Leaping Algorithm","display_name":"Mixed Kernel Twin Support Vector Machines Based on the Shuffled Frog Leaping Algorithm","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W2151049321","doi":"https://doi.org/10.4304/jcp.9.4.947-955","mag":"2151049321"},"language":"en","primary_location":{"id":"doi:10.4304/jcp.9.4.947-955","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.9.4.947-955","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","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/A5010720647","display_name":"Fulin Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fulin Wu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082274996","display_name":"Shifei Ding","orcid":"https://orcid.org/0000-0002-1391-2717"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shifei Ding","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040638247","display_name":"Huajuan Huang","orcid":"https://orcid.org/0000-0003-2391-5409"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huajuan Huang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5065131815","display_name":"Zhibin Zhu","orcid":"https://orcid.org/0000-0002-9929-8163"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhibin Zhu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8208,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79504267,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9","issue":"4","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9994000196456909,"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":0.9994000196456909,"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/T14225","display_name":"Advanced Sensor and Control Systems","score":0.9932000041007996,"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/T12676","display_name":"Machine Learning and ELM","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6903976202011108},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5726978182792664},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5040110945701599},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4405059218406677},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29236656427383423},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19153892993927002},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.13378864526748657}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6903976202011108},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5726978182792664},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5040110945701599},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4405059218406677},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29236656427383423},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19153892993927002},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.13378864526748657}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jcp.9.4.947-955","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.9.4.947-955","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1596717185","https://openalex.org/W1991043035","https://openalex.org/W1995013121","https://openalex.org/W2047190825","https://openalex.org/W2069231281","https://openalex.org/W2085206452","https://openalex.org/W2106905228","https://openalex.org/W2111419079","https://openalex.org/W2113685395","https://openalex.org/W2117661146","https://openalex.org/W2132425109","https://openalex.org/W2139028490","https://openalex.org/W2140509289","https://openalex.org/W2167358299","https://openalex.org/W2170860445","https://openalex.org/W2329045241","https://openalex.org/W2335683634","https://openalex.org/W2352473676","https://openalex.org/W2393129636","https://openalex.org/W4230674625","https://openalex.org/W4239510810","https://openalex.org/W6667932774"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2317200988","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278"],"abstract_inverted_index":{"The":[0,230],"efficiency":[9],"and":[10,62,178,218],"performance":[11,118,227],"of":[12,119,160,166,182,215,228,241],"Twin":[13,136],"Support":[14,137],"Vector":[15,138],"Machines":[16,139],"(TWSVM)":[17],"is":[22,64,102,108],"better":[27,201],"than":[28],"the":[29,38,47,50,69,76,117,133,142,162,179,206,213,219,226,238],"traditional":[30,51],"support":[31,52],"vector":[32,53],"machines":[33],"when":[34],"it":[35,41,63],"deals":[36],"with":[37],"problems.":[39,45],"However,":[40],"also":[42],"has":[43,200],"some":[44],"As":[46],"same":[48],"as":[49],"machines,":[54],"its":[55,91,105],"parameters":[56,214],"are":[57],"difficult":[58],"to":[59,67,123,211,223],"be":[60],"appointed":[61],"not":[65],"easy":[66],"select":[68],"appropriate":[70],"kernel":[71,88,168,184,198,221],"function.":[72,89],"TWSVM":[73,120,217],"generally":[74],"selects":[75],"Gaussian":[81],"radial":[86],"basis":[87],"Although":[90],"learning":[100,180],"ability":[101,107,165,181],"very":[103],"strong,":[104],"generalization":[106,164],"relatively":[109],"weak.":[110],"To":[111,152],"a":[112,196],"certain":[113],"extent,":[114],"this":[115,129],"limits":[116],".In":[121],"order":[122],"solve":[124],"these":[125],"two":[126],"problems,":[127],"in":[128],"paper,":[130],"we":[131],"propose":[132],"Mixed":[134],"Kernel":[135],"based":[140],"on":[141],"shuffled":[143,207],"frog":[144,208],"leaping":[145,209],"algorithm":[146,210],"(SFLA-MK-TWSVM).":[147],"make":[153],"full":[158],"use":[159],"both":[161,216],"excellent":[163],"global":[167],"function":[169,185,222],"s":[173,189],"local":[183],",":[193],"SFLA-MK-TWSVM":[194,204,235],"constructs":[195],"mixed":[197,220],"which":[199],"performance.":[202],"Then":[203],"uses":[205],"determine":[212],"further":[224],"improve":[225],"TWSVM.":[229,242],"experimental":[231],"results":[232],"indicate":[233],"that":[234],"significantly":[236],"improves":[237],"classification":[239],"accuracy":[240]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}