{"id":"https://openalex.org/W4377990259","doi":"https://doi.org/10.1142/s021821302340016x","title":"Classification of Visually Evoked Potential EEG Using Hybrid Anchoring-based Particle Swarm Optimized Scaled Conjugate Gradient Multi-Layer Perceptron Classifier","display_name":"Classification of Visually Evoked Potential EEG Using Hybrid Anchoring-based Particle Swarm Optimized Scaled Conjugate Gradient Multi-Layer Perceptron Classifier","publication_year":2023,"publication_date":"2023-05-01","ids":{"openalex":"https://openalex.org/W4377990259","doi":"https://doi.org/10.1142/s021821302340016x"},"language":"en","primary_location":{"id":"doi:10.1142/s021821302340016x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021821302340016x","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"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 on Artificial Intelligence Tools","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/A5107938071","display_name":"Ravichander Janapati","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ravichander Janapati","raw_affiliation_strings":["Department of Electronics and Communication Engineering, SR University, Warangal, Telangana, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, SR University, Warangal, Telangana, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010630471","display_name":"Vishwas Dalal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vishwas Dalal","raw_affiliation_strings":["Department of Cognitive Science, SR University, Warangal, Telangana, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cognitive Science, SR University, Warangal, Telangana, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073275215","display_name":"Usha Desai","orcid":"https://orcid.org/0000-0002-2267-2567"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Usha Desai","raw_affiliation_strings":["Department of Electronics and Communication Engineering, SR University, Warangal, Telangana, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, SR University, Warangal, Telangana, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072627214","display_name":"Rakesh Sengupta","orcid":"https://orcid.org/0000-0003-1768-0551"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rakesh Sengupta","raw_affiliation_strings":["Department of Cognitive Science, SR University, Warangal, Telangana, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cognitive Science, SR University, Warangal, Telangana, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039120890","display_name":"Shrirang Ambaji Kulkarni","orcid":"https://orcid.org/0000-0001-8392-1566"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shrirang A. Kulkarni","raw_affiliation_strings":["School of Global Health Management and Informatics, University of Central Florida, Orlando, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Global Health Management and Informatics, University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044672544","display_name":"D. Jude Hemanth","orcid":"https://orcid.org/0000-0002-6091-1880"},"institutions":[{"id":"https://openalex.org/I119668213","display_name":"Karunya University","ror":"https://ror.org/03k23nv15","country_code":"IN","type":"education","lineage":["https://openalex.org/I119668213"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"D. Jude Hemanth","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Karunya University, Coimbatore, Tamil Nadu, India"],"raw_orcid":"https://orcid.org/0000-0002-6091-1880","affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Karunya University, Coimbatore, Tamil Nadu, India","institution_ids":["https://openalex.org/I119668213"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5044672544"],"corresponding_institution_ids":["https://openalex.org/I119668213"],"apc_list":null,"apc_paid":null,"fwci":0.6687,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.666715,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"32","issue":"03","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.974399983882904,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10320","display_name":"Neural Networks and Applications","score":0.948199987411499,"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":0.8257403373718262},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.8100481629371643},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6645430326461792},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6383112072944641},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.6361258029937744},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.622267484664917},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.6181658506393433},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6009158492088318},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.5951755046844482},{"id":"https://openalex.org/keywords/conjugate-gradient-method","display_name":"Conjugate gradient method","score":0.5308756828308105},{"id":"https://openalex.org/keywords/cohens-kappa","display_name":"Cohen's kappa","score":0.43438398838043213},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.39599794149398804},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3512078523635864},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20335721969604492},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19474589824676514}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8257403373718262},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.8100481629371643},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6645430326461792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6383112072944641},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.6361258029937744},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.622267484664917},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.6181658506393433},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6009158492088318},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.5951755046844482},{"id":"https://openalex.org/C81184566","wikidata":"https://www.wikidata.org/wiki/Q1191895","display_name":"Conjugate gradient method","level":2,"score":0.5308756828308105},{"id":"https://openalex.org/C163864269","wikidata":"https://www.wikidata.org/wiki/Q1107106","display_name":"Cohen's kappa","level":2,"score":0.43438398838043213},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.39599794149398804},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3512078523635864},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20335721969604492},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19474589824676514},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s021821302340016x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021821302340016x","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"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 on Artificial Intelligence Tools","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1245189646","display_name":null,"funder_award_id":"EEQ/2019/000624","funder_id":"https://openalex.org/F4320334771","funder_display_name":"Science and Engineering Research Board"}],"funders":[{"id":"https://openalex.org/F4320334771","display_name":"Science and Engineering Research Board","ror":"https://ror.org/03ffdsr55"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2207919472","https://openalex.org/W2098528027","https://openalex.org/W2625259661","https://openalex.org/W2544771389","https://openalex.org/W2388344948","https://openalex.org/W3197592642","https://openalex.org/W1922626558","https://openalex.org/W2048444161","https://openalex.org/W2353411190","https://openalex.org/W3211590003"],"abstract_inverted_index":{"Brain-Computer":[0],"Interface":[1],"is":[2,17,31,85,131,143,171,183],"an":[3,125],"emerging":[4],"field":[5],"that":[6],"focuses":[7],"on":[8],"transforming":[9],"brain":[10],"data":[11],"into":[12],"machine":[13],"commands.":[14],"EEG-based":[15,177],"BCI":[16,38,178],"widely":[18],"used":[19,195],"due":[20],"to":[21,62,87],"the":[22,34,89,110,127,135,156,175,204],"non-invasive":[23],"nature":[24],"of":[25,28,33,50,92,113,121,129,137,165,190,206],"Electroencephalogram.":[26],"Classification":[27],"EEG":[29],"signals":[30],"one":[32],"primary":[35],"components":[36],"in":[37,196],"applications.":[39],"Steady-State":[40],"Visually":[41],"Evoked":[42],"Potential":[43],"(SSVEP)":[44],"paradigms":[45],"have":[46],"gained":[47],"importance":[48],"because":[49],"lesser":[51],"training":[52,161],"time,":[53],"higher":[54,173],"precision,":[55],"and":[56,64,101,152,162,167,192,202],"improved":[57,160],"information":[58],"transfer":[59],"rate":[60],"compared":[61,144],"P300":[63],"motor":[65],"imagery":[66],"paradigms.":[67],"In":[68,154],"this":[69],"paper,":[70],"a":[71,186],"novel":[72],"hybrid":[73],"Anchoring-based":[74],"Particle":[75,114],"Swarm":[76,115],"Optimized":[77],"Scaled":[78,105],"Conjugate":[79,106],"Gradient":[80,107],"Multi-Layer":[81],"Perceptron":[82],"classifier":[83],"(APS-MLP)":[84],"proposed":[86,141,157,181],"improve":[88],"classification":[90],"accuracy":[91,128],"SSVEP":[93],"five":[94],"classes":[95],"viz.":[96],"6.66,":[97],"7.5,":[98],"8.57,":[99],"10":[100],"12":[102],"Hz,":[103],"signals.":[104],"descent":[108],"anchors":[109],"initial":[111],"position":[112],"Optimization.":[116],"The":[117,140,180],"best":[118],"position,":[119],"Pbest,":[120],"each":[122,138],"particle":[123],"initializes":[124],"SCG-MLP,":[126],"APS-MLP":[130],"obtained":[132],"by":[133],"averaging":[134],"accuracies":[136,164],"SCG-MLP.":[139],"method":[142],"with":[145,185,210],"standard":[146,176],"classifiers":[147],"namely,":[148],"k-NN,":[149],"SVM,":[150],"LDA":[151],"MLP.":[153],"which,":[155],"algorithm":[158,182],"achieves":[159],"testing":[163],"88.69%":[166],"95.4%":[168],"respectively,":[169],"which":[170],"12\u201315%":[172],"than":[174],"classifiers.":[179],"robust,":[184],"Cohen\u2019s":[187],"kappa":[188],"coefficient":[189],"0.96,":[191],"will":[193],"be":[194],"applications":[197],"such":[198],"as":[199],"motion":[200],"control":[201],"improving":[203],"quality":[205],"life":[207],"for":[208],"people":[209],"disabilities.":[211]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
