{"id":"https://openalex.org/W4313555224","doi":"https://doi.org/10.1109/access.2023.3234579","title":"An Improved Sparrow Search Algorithm for Optimizing Support Vector Machines","display_name":"An Improved Sparrow Search Algorithm for Optimizing Support Vector Machines","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4313555224","doi":"https://doi.org/10.1109/access.2023.3234579"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3234579","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3234579","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10007813.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10007813.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031009754","display_name":"Zhang Hong","orcid":"https://orcid.org/0000-0001-9342-2939"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hong Zhang","raw_affiliation_strings":["College of Communication and Information Engineering, Xi’an University of Science and Technology, Shaanxi, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"College of Communication and Information Engineering, Xi’an University of Science and Technology, Shaanxi, Xi\u2019an, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040178624","display_name":"Yifan Zhang","orcid":"https://orcid.org/0000-0003-4525-4795"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Zhang","raw_affiliation_strings":["College of Communication and Information Engineering, Xi’an University of Science and Technology, Shaanxi, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"College of Communication and Information Engineering, Xi’an University of Science and Technology, Shaanxi, Xi\u2019an, China","institution_ids":["https://openalex.org/I110440473"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5031009754"],"corresponding_institution_ids":["https://openalex.org/I110440473"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":6.4668,"has_fulltext":true,"cited_by_count":35,"citation_normalized_percentile":{"value":0.97234749,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"11","issue":null,"first_page":"8199","last_page":"8206"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9965000152587891,"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":0.9965000152587891,"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":0.9891999959945679,"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"}},{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9779000282287598,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/support-vector-machine","display_name":"Support vector machine","score":0.8172606229782104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5819895267486572},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.53370600938797},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48484814167022705},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4649694263935089},{"id":"https://openalex.org/keywords/ranking-svm","display_name":"Ranking SVM","score":0.43855881690979004},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.42711782455444336},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3826088011264801},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3409520089626312},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2657868564128876}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8172606229782104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5819895267486572},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.53370600938797},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48484814167022705},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4649694263935089},{"id":"https://openalex.org/C124975894","wikidata":"https://www.wikidata.org/wiki/Q7293290","display_name":"Ranking SVM","level":3,"score":0.43855881690979004},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.42711782455444336},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3826088011264801},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3409520089626312},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2657868564128876},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3234579","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3234579","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10007813.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:04990d80a9564ea7a54bb5df0e3b059a","is_oa":true,"landing_page_url":"https://doaj.org/article/04990d80a9564ea7a54bb5df0e3b059a","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 8199-8206 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3234579","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3234579","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10007813.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5526581336","display_name":null,"funder_award_id":"YJG2020014","funder_id":"https://openalex.org/F4320325422","funder_display_name":"Xi'an University of Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320325422","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18"},{"id":"https://openalex.org/F4320337368","display_name":"Division of Graduate Education","ror":"https://ror.org/00whkrf32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4313555224.pdf","grobid_xml":"https://content.openalex.org/works/W4313555224.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W2971702752","https://openalex.org/W2998553334","https://openalex.org/W3023211159","https://openalex.org/W3127762213","https://openalex.org/W3203896216","https://openalex.org/W4233104424"],"related_works":["https://openalex.org/W2166551085","https://openalex.org/W2767160479","https://openalex.org/W1499746122","https://openalex.org/W112629874","https://openalex.org/W2209805890","https://openalex.org/W1948992892","https://openalex.org/W3168178700","https://openalex.org/W1668892176","https://openalex.org/W2589204931","https://openalex.org/W2913952424"],"abstract_inverted_index":{"Support":[0,31],"Vector":[1,32],"Machine":[2,33],"(SVM)":[3],"is":[4,61,162,186],"often":[5],"used":[6],"in":[7],"regression":[8],"and":[9,54,82,115,130,143,166,171,190,195],"classification":[10,157,176],"problems.":[11,23],"However,":[12],"SVM":[13,39,170,194],"needs":[14],"to":[15,20,36,49,78,117],"find":[16],"proper":[17],"kernel":[18,40],"function":[19],"solve":[21],"high-dimensional":[22],"We":[24],"propose":[25],"an":[26],"improved":[27,163],"Sparrow":[28],"Search":[29],"Algorithm":[30,133],"(ISSA-SVM)":[34],"algorithm":[35,161,185],"optimize":[37],"the":[38,43,50,58,80,89,93,124,150,156,175],"parameters.":[41],"First,":[42],"problem":[44],"of":[45,52,57,92,100,120,159,183],"slow":[46],"convergence":[47,90],"due":[48],"lack":[51],"ergodicity":[53],"poor":[55],"diversity":[56],"initial":[59],"population":[60],"effectively":[62],"overcome":[63],"by":[64,164,188],"using":[65],"Sine":[66],"chaotic":[67],"map.":[68],"Second,":[69],"adaptive":[70],"dynamic":[71],"weight":[72],"factors":[73],"are":[74],"induced":[75],"not":[76],"only":[77],"balance":[79],"global":[81],"local":[83,121],"search":[84,95,113],"capabilities,":[85],"but":[86],"also":[87],"accelerate":[88],"speed":[91],"sparrow":[94],"algorithm.":[96],"The":[97,146],"simulation":[98],"results":[99,148],"11":[101],"benchmark":[102],"test":[103],"functions":[104],"show":[105,154],"that":[106,155],"ISSA":[107,137],"has":[108,138],"faster":[109],"convergence,":[110,140],"more":[111],"accurate":[112],"capability,":[114],"easier":[116],"jump":[118],"out":[119],"extremes":[122],"than":[123],"SSA,":[125],"Gray":[126],"Wolf":[127],"Optimization":[128,132],"(GWO)":[129],"Whale":[131],"(WOA).":[134],"That":[135],"indicates":[136],"better":[139,141],"robustness,":[142],"stronger":[144],"competitiveness.":[145],"experimental":[147],"on":[149],"coal":[151],"gangue":[152],"dataset":[153],"accuracy":[158],"ISSA-SVM":[160,184],"7.09%":[165],"4.25%":[167],"compared":[168,192],"with":[169,193],"SSA-SVM,":[172,196],"respectively.":[173,197],"Meanwhile,":[174],"time":[177],"for":[178],"a":[179],"single":[180],"image":[181],"frame":[182],"reduced":[187],"20.15%":[189],"13.74%":[191]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":4}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}