{"id":"https://openalex.org/W2888485558","doi":"https://doi.org/10.1142/s0218488518500320","title":"An Efficient Feature Selection and Classification Using Optimal Radial Basis Function Neural Network","display_name":"An Efficient Feature Selection and Classification Using Optimal Radial Basis Function Neural Network","publication_year":2018,"publication_date":"2018-08-21","ids":{"openalex":"https://openalex.org/W2888485558","doi":"https://doi.org/10.1142/s0218488518500320","mag":"2888485558"},"language":"en","primary_location":{"id":"doi:10.1142/s0218488518500320","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218488518500320","pdf_url":null,"source":{"id":"https://openalex.org/S69518169","display_name":"International Journal of Uncertainty Fuzziness and Knowledge-Based Systems","issn_l":"0218-4885","issn":["0218-4885","1793-6411"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Uncertainty, Fuzziness and Knowledge-Based 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/A5073860431","display_name":"S. Balamurugan","orcid":"https://orcid.org/0000-0002-4117-3253"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Appavu alias Balamurugan","raw_affiliation_strings":["Department of Information Technology, KLN College of Information Technology, Madurai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology, KLN College of Information Technology, Madurai, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060807024","display_name":"S. Gilbert Nancy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Gilbert Nancy","raw_affiliation_strings":["Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Erode District, Tamil Nadu, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Erode District, Tamil Nadu, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5069,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.7403538,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"26","issue":"05","first_page":"695","last_page":"715"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9966999888420105,"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/T10320","display_name":"Neural Networks and Applications","score":0.9966999888420105,"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/T10057","display_name":"Face and Expression Recognition","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9836000204086304,"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/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.69145667552948},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6881097555160522},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6241264343261719},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5897511839866638},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5656806826591492},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5473535060882568},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5189547538757324},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45449697971343994},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4418966770172119},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37633949518203735}],"concepts":[{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.69145667552948},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6881097555160522},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6241264343261719},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5897511839866638},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5656806826591492},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5473535060882568},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5189547538757324},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45449697971343994},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4418966770172119},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37633949518203735},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218488518500320","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218488518500320","pdf_url":null,"source":{"id":"https://openalex.org/S69518169","display_name":"International Journal of Uncertainty Fuzziness and Knowledge-Based Systems","issn_l":"0218-4885","issn":["0218-4885","1793-6411"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems","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/W325781386","https://openalex.org/W788130644","https://openalex.org/W1202196558","https://openalex.org/W1426199569","https://openalex.org/W1443364857","https://openalex.org/W1968103139","https://openalex.org/W2006223810","https://openalex.org/W2022020282","https://openalex.org/W2078144193","https://openalex.org/W2079957645","https://openalex.org/W2262340947","https://openalex.org/W2277694666","https://openalex.org/W2278544380","https://openalex.org/W2300543478","https://openalex.org/W2341670955","https://openalex.org/W2468540678","https://openalex.org/W2515910010","https://openalex.org/W2518301555","https://openalex.org/W2520271149","https://openalex.org/W2529692997","https://openalex.org/W2964287582","https://openalex.org/W4254841986"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W2086519370","https://openalex.org/W2028665553","https://openalex.org/W2087343574","https://openalex.org/W4296209631","https://openalex.org/W2535915176","https://openalex.org/W2105860728"],"abstract_inverted_index":{"Feature":[0],"selection":[1,84],"is":[2,37,62,96,129,152,179,214,226],"the":[3,22,25,41,46,51,63,93,97,108,124,132,140,144,147,150,166,193,220],"process":[4],"of":[5,24,34,43,80,134,177,183],"identifying":[6],"and":[7,11,211],"removing":[8],"many":[9],"irrelevant":[10,52],"redundant":[12,18],"features.":[13],"Irrelevant":[14],"features,":[15,19],"along":[16],"with":[17,131],"severely":[20],"affect":[21],"accuracy":[23,202],"learning":[26],"machines.":[27],"In":[28,69],"high":[29,86,98],"dimensional":[30,87,99],"space":[31],"finding":[32],"clusters":[33],"data":[35,49,169],"objects":[36],"challenging":[38],"due":[39],"to":[40,71,106,164,219],"curse":[42],"dimensionality.":[44],"When":[45],"dimensionality":[47],"increases,":[48],"in":[50,66,85,228],"dimensions":[53],"may":[54],"produce":[55],"much":[56],"noise.":[57],"And":[58],"also,":[59],"time":[60],"complexity":[61],"major":[64],"issues":[65,74],"existing":[67,221],"approach.":[68],"order":[70],"rectify":[72],"these":[73],"our":[75,113],"proposed":[76,114,194,224],"method":[77,225],"made":[78],"use":[79],"efficient":[81],"feature":[82],"subset":[83],"data.":[88,174],"Here":[89,123,149],"we":[90,104],"are":[91,143],"considering":[92],"input":[94,145],"dataset":[95,206],"micro":[100,167],"array":[101,168],"dataset.":[102],"Initially,":[103],"have":[105,197],"select":[107],"optimal":[109],"features":[110,142],"so":[111],"that":[112,192],"technique":[115,163],"employed":[116],"Modified":[117],"Social":[118,126],"Spider":[119,127],"Optimization":[120,128],"(MSSO)":[121],"algorithm.":[122,138],"traditional":[125],"modified":[130],"help":[133],"fruit":[135],"fly":[136],"optimization":[137],"Next":[139],"selected":[141],"for":[146,203],"classifier.":[148],"classification":[151,195],"performed":[153],"using":[154],"Optimized":[155],"Radial":[156],"basis":[157],"Function":[158],"based":[159],"neural":[160],"network":[161],"(ORBFNN)":[162],"classify":[165],"as":[170],"normal":[171],"or":[172],"abnormal":[173],"The":[175,223],"effectiveness":[176],"RBFNN":[178],"optimized":[180],"by":[181,199],"means":[182],"artificial":[184],"bee":[185],"colony":[186],"algorithm":[187],"(ABC).":[188],"Experimental":[189],"results":[190],"indicate":[191],"framework":[196],"outperformed":[198],"having":[200],"better":[201],"five":[204],"benchmark":[205],"93.66%,":[207],"97.09%,":[208],"98.66%,":[209],"98.28%":[210],"98.93%":[212],"which":[213],"minimum":[215],"value":[216],"when":[217],"compared":[218],"technique.":[222],"executed":[227],"MATLAB":[229],"platform.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
