{"id":"https://openalex.org/W2396384568","doi":"https://doi.org/10.17706/jsw.10.11.1301-1309","title":"Parameters Optimization of SVM Based on Improved FOA and Its Application in Fault Diagnosis","display_name":"Parameters Optimization of SVM Based on Improved FOA and Its Application in Fault Diagnosis","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2396384568","doi":"https://doi.org/10.17706/jsw.10.11.1301-1309","mag":"2396384568"},"language":"en","primary_location":{"id":"doi:10.17706/jsw.10.11.1301-1309","is_oa":true,"landing_page_url":"https://doi.org/10.17706/jsw.10.11.1301-1309","pdf_url":"http://www.jsoftware.us/vol10/110-JSW1527.pdf","source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":true,"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 Software","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://www.jsoftware.us/vol10/110-JSW1527.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068235935","display_name":"Qiantu Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124205","display_name":"First Hospital of Shijiazhuang","ror":"https://ror.org/02s8x1148","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210124205"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiantu Zhang","raw_affiliation_strings":["First Department, Mechanical Engineering College, Shijiazhuang, Hebei Province, P. R. China"],"affiliations":[{"raw_affiliation_string":"First Department, Mechanical Engineering College, Shijiazhuang, Hebei Province, P. R. China","institution_ids":["https://openalex.org/I4210124205"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101830732","display_name":"Liqing Fang","orcid":"https://orcid.org/0000-0002-6338-5185"},"institutions":[{"id":"https://openalex.org/I4210124205","display_name":"First Hospital of Shijiazhuang","ror":"https://ror.org/02s8x1148","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210124205"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liqing Fang","raw_affiliation_strings":["First Department, Mechanical Engineering College, Shijiazhuang, Hebei Province, P. R. China"],"affiliations":[{"raw_affiliation_string":"First Department, Mechanical Engineering College, Shijiazhuang, Hebei Province, P. R. China","institution_ids":["https://openalex.org/I4210124205"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5068235935"],"corresponding_institution_ids":["https://openalex.org/I4210124205"],"apc_list":null,"apc_paid":null,"fwci":0.3408,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69511456,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"10","issue":"11","first_page":"1301","last_page":"1309"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9980000257492065,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9980000257492065,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9955999851226807,"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":0.9950000047683716,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.9252335429191589},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6195364594459534},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6114909648895264},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44201523065567017},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3837524652481079},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34363487362861633},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3302699327468872},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.054118603467941284}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9252335429191589},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6195364594459534},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6114909648895264},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44201523065567017},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3837524652481079},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34363487362861633},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3302699327468872},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.054118603467941284},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.17706/jsw.10.11.1301-1309","is_oa":true,"landing_page_url":"https://doi.org/10.17706/jsw.10.11.1301-1309","pdf_url":"http://www.jsoftware.us/vol10/110-JSW1527.pdf","source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":true,"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 Software","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.17706/jsw.10.11.1301-1309","is_oa":true,"landing_page_url":"https://doi.org/10.17706/jsw.10.11.1301-1309","pdf_url":"http://www.jsoftware.us/vol10/110-JSW1527.pdf","source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":true,"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 Software","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8117260626","display_name":null,"funder_award_id":"51275524","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2396384568.pdf","grobid_xml":"https://content.openalex.org/works/W2396384568.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1964437340","https://openalex.org/W1977690098","https://openalex.org/W2010059576","https://openalex.org/W2020355555","https://openalex.org/W2023961611","https://openalex.org/W2059115408","https://openalex.org/W2066188767","https://openalex.org/W2078515406","https://openalex.org/W2087286969","https://openalex.org/W2093195672","https://openalex.org/W2094565518","https://openalex.org/W2320149285","https://openalex.org/W2335547718","https://openalex.org/W4255356605","https://openalex.org/W6836858093"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W1948992892","https://openalex.org/W2104657898","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W1980100242","https://openalex.org/W2530420969","https://openalex.org/W2051187167","https://openalex.org/W4315815996"],"abstract_inverted_index":{"In":[0,46],"most":[1],"cases,":[2],"fault":[3,29],"diagnosis":[4,22,44],"is":[5,56,71,92],"essentially":[6],"a":[7,17],"pattern":[8],"recognition":[9],"problem":[10,23],"and":[11,102,116],"support":[12],"vector":[13],"machine":[14],"(SVM)":[15],"provides":[16],"new":[18],"solution":[19],"for":[20],"the":[21,28,34,43,58,75,85,89,96,107],"of":[24,98],"systems":[25],"in":[26,37],"which":[27,55],"samples":[30],"are":[31,81],"few.":[32],"However,":[33],"parameters":[35],"selection":[36],"SVM":[38,76],"has":[39],"significant":[40],"influence":[41],"on":[42],"performance.":[45],"this":[47],"paper,":[48],"improved":[49],"fruit":[50,60],"fly":[51,61],"optimization":[52,62,119],"algorithm":[53,63,114],"(IFOA),":[54],"basically":[57],"standard":[59,111],"(FOA)":[64],"combined":[65],"with":[66],"Levy":[67],"flight":[68],"search":[69],"strategy,":[70],"proposed":[72,86,90,108],"to":[73,83,94],"determine":[74],"parameters.":[77],"Some":[78],"benchmark":[79],"datasets":[80],"used":[82,93],"evaluate":[84],"algorithm.":[87],"Furthermore,":[88],"method":[91,109],"diagnose":[95],"faults":[97],"hydraulic":[99],"pump.":[100],"Experiments":[101],"engineering":[103],"application":[104],"show":[105],"that":[106],"outperforms":[110],"FOA,":[112],"genetic":[113],"(GA)":[115],"particle":[117],"swarm":[118],"(PSO)":[120],"methods.":[121]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2016-06-24T00:00:00"}