{"id":"https://openalex.org/W1988002786","doi":"https://doi.org/10.1109/spac.2014.6982703","title":"Hybrid improved gravitional search algorithm and kernel based extreme learning machine method for classification problems","display_name":"Hybrid improved gravitional search algorithm and kernel based extreme learning machine method for classification problems","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W1988002786","doi":"https://doi.org/10.1109/spac.2014.6982703","mag":"1988002786"},"language":"en","primary_location":{"id":"doi:10.1109/spac.2014.6982703","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spac.2014.6982703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","raw_type":"proceedings-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/A5023893507","display_name":"Chao Ma","orcid":"https://orcid.org/0000-0002-7443-6267"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Ma","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, China","College of Computer Science and Technology, Jilin University, Changchun, China;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]},{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, China;","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103822192","display_name":"Jihong Ouyang","orcid":"https://orcid.org/0000-0001-6151-365X"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"JiHong Ouyang","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, China","College of Computer Science and Technology, Jilin University, Changchun, China;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]},{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, China;","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059231561","display_name":"Jian Guan","orcid":"https://orcid.org/0000-0002-0945-1081"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Guan","raw_affiliation_strings":["Computer Application Research Center, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Application Research Center, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4229,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.73646967,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"7","issue":null,"first_page":"299","last_page":"304"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":1.0,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9930999875068665,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.6865373253822327},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6217243671417236},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.594011127948761},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5874217748641968},{"id":"https://openalex.org/keywords/gravitational-search-algorithm","display_name":"Gravitational search algorithm","score":0.5863146781921387},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4691191017627716},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.45310965180397034},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4525444507598877},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42553621530532837},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4222487211227417},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.41785433888435364},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4130592942237854},{"id":"https://openalex.org/keywords/hybrid-algorithm","display_name":"Hybrid algorithm (constraint satisfaction)","score":0.4101039171218872},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.30046772956848145},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17540931701660156}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6865373253822327},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6217243671417236},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.594011127948761},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5874217748641968},{"id":"https://openalex.org/C2985224515","wikidata":"https://www.wikidata.org/wiki/Q26208718","display_name":"Gravitational search algorithm","level":3,"score":0.5863146781921387},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4691191017627716},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.45310965180397034},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4525444507598877},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42553621530532837},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4222487211227417},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.41785433888435364},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4130592942237854},{"id":"https://openalex.org/C62469222","wikidata":"https://www.wikidata.org/wiki/Q17092103","display_name":"Hybrid algorithm (constraint satisfaction)","level":5,"score":0.4101039171218872},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.30046772956848145},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17540931701660156},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0},{"id":"https://openalex.org/C44616089","wikidata":"https://www.wikidata.org/wiki/Q30158686","display_name":"Constraint satisfaction","level":3,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"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/C176783269","wikidata":"https://www.wikidata.org/wiki/Q5164378","display_name":"Constraint logic programming","level":4,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spac.2014.6982703","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spac.2014.6982703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1565746575","https://openalex.org/W1963600662","https://openalex.org/W1970699372","https://openalex.org/W1978578227","https://openalex.org/W1978638095","https://openalex.org/W1988610730","https://openalex.org/W2026131661","https://openalex.org/W2026458537","https://openalex.org/W2037984448","https://openalex.org/W2043373657","https://openalex.org/W2072955302","https://openalex.org/W2081269248","https://openalex.org/W2111072639","https://openalex.org/W2112865076","https://openalex.org/W2130378394","https://openalex.org/W2134603844","https://openalex.org/W2141845743","https://openalex.org/W2157595416","https://openalex.org/W6633774736","https://openalex.org/W6679935922"],"related_works":["https://openalex.org/W4309047791","https://openalex.org/W2342132082","https://openalex.org/W2892169256","https://openalex.org/W2973131362","https://openalex.org/W1716870348","https://openalex.org/W2314662330","https://openalex.org/W2011388555","https://openalex.org/W2130057890","https://openalex.org/W2029107091","https://openalex.org/W2728885777"],"abstract_inverted_index":{"In":[0,37],"this":[1,38],"paper,":[2],"we":[3],"hybridize":[4],"the":[5,31,45,57,64,79,104,107,122],"improved":[6],"gravitational":[7],"search":[8,46],"algorithm":[9,74,90],"(IGSA)":[10],"with":[11],"kernel":[12],"based":[13],"extreme":[14],"learning":[15,98],"machine":[16,97],"(KELM)":[17],"method.":[18],"Based":[19],"on":[20,93],"this,":[21],"a":[22,130],"novel":[23],"hybrid":[24,89,116],"system":[25],"IGSA-KELM":[26],"is":[27,41,91],"proposed":[28,88,108],"to":[29,54,77],"improve":[30],"generalization":[32],"performance":[33],"for":[34],"classification":[35,113,132],"problems.":[36],"system,":[39],"IGSA":[40,66,69],"designed":[42],"by":[43],"combining":[44],"strategy":[47],"of":[48,59,106,112],"particle":[49],"swarm":[50],"optimization":[51],"and":[52,67,82],"GSA":[53],"effectively":[55],"reduce":[56],"problem":[58],"slow":[60],"convergence":[61],"rate,":[62],"moreover,":[63],"continuous-value":[65],"binary":[68],"are":[70],"integrated":[71],"in":[72,75,110],"one":[73],"order":[76],"optimize":[78],"KELM":[80],"parameters":[81],"feature":[83,125],"subset":[84],"selection":[85],"simultaneously.":[86],"This":[87],"evaluated":[92],"several":[94],"well-known":[95],"UCI":[96],"datasets.":[99],"The":[100],"results":[101],"indicate":[102],"that":[103],"superiority":[105],"model":[109],"terms":[111],"accuracy.":[114],"Our":[115],"method":[117],"not":[118],"only":[119],"can":[120],"select":[121],"most":[123],"relevant":[124],"subset,":[126],"but":[127],"also":[128],"achieves":[129],"high":[131],"accuracy":[133],"over":[134],"other":[135],"similar":[136],"state-of-the-art":[137],"classifier":[138],"systems.":[139]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
