{"id":"https://openalex.org/W2915191712","doi":"https://doi.org/10.1109/tetc.2019.2901272","title":"A Novel Quantum-Inspired Fuzzy Based Neural Network for Data Classification","display_name":"A Novel Quantum-Inspired Fuzzy Based Neural Network for Data Classification","publication_year":2019,"publication_date":"2019-02-25","ids":{"openalex":"https://openalex.org/W2915191712","doi":"https://doi.org/10.1109/tetc.2019.2901272","mag":"2915191712"},"language":"en","primary_location":{"id":"doi:10.1109/tetc.2019.2901272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetc.2019.2901272","pdf_url":null,"source":{"id":"https://openalex.org/S2496326734","display_name":"IEEE Transactions on Emerging Topics in Computing","issn_l":"2168-6750","issn":["2168-6750","2376-4562"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computing","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/A5019008348","display_name":"Om Prakash Patel","orcid":"https://orcid.org/0000-0002-5295-4880"},"institutions":[{"id":"https://openalex.org/I154970844","display_name":"Jaypee Institute of Information Technology","ror":"https://ror.org/05sttyy11","country_code":"IN","type":"education","lineage":["https://openalex.org/I154970844"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Om Prakash Patel","raw_affiliation_strings":["Department of Computer Science and Information Technology, Jaypee Institute of Information Technology, Noida, Uttar Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Technology, Jaypee Institute of Information Technology, Noida, Uttar Pradesh, India","institution_ids":["https://openalex.org/I154970844"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103250293","display_name":"Neha Bharill","orcid":"https://orcid.org/0000-0002-8522-6468"},"institutions":[{"id":"https://openalex.org/I154970844","display_name":"Jaypee Institute of Information Technology","ror":"https://ror.org/05sttyy11","country_code":"IN","type":"education","lineage":["https://openalex.org/I154970844"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Neha Bharill","raw_affiliation_strings":["Department of Computer Science and Information Technology, Jaypee Institute of Information Technology, Noida, Uttar Pradesh, India"],"raw_orcid":"https://orcid.org/0000-0002-8522-6468","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Technology, Jaypee Institute of Information Technology, Noida, Uttar Pradesh, India","institution_ids":["https://openalex.org/I154970844"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015363446","display_name":"Aruna Tiwari","orcid":"https://orcid.org/0000-0002-0394-0327"},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aruna Tiwari","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology, Indore, Madhya Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology, Indore, Madhya Pradesh, India","institution_ids":["https://openalex.org/I64295750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006355592","display_name":"Mukesh Prasad","orcid":"https://orcid.org/0000-0002-7745-9667"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mukesh Prasad","raw_affiliation_strings":["Faculty of Engineering and Information Technology, Centre for Artificial Intelligence, School of Software, University of Technology Sydney, Ultimo, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Information Technology, Centre for Artificial Intelligence, School of Software, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5019008348"],"corresponding_institution_ids":["https://openalex.org/I154970844"],"apc_list":null,"apc_paid":null,"fwci":2.8899,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.92817569,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"9","issue":"2","first_page":"1031","last_page":"1044"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9994000196456909,"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":0.9994000196456909,"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/T12676","display_name":"Machine Learning and ELM","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":0.9923999905586243,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7591477632522583},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7007420063018799},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6383869647979736},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6269112229347229},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6231338977813721},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5629981160163879},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4771822690963745},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4533899426460266},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.44292426109313965},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38283005356788635},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3605974316596985}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7591477632522583},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7007420063018799},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6383869647979736},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6269112229347229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6231338977813721},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5629981160163879},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4771822690963745},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4533899426460266},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.44292426109313965},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38283005356788635},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3605974316596985},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tetc.2019.2901272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetc.2019.2901272","pdf_url":null,"source":{"id":"https://openalex.org/S2496326734","display_name":"IEEE Transactions on Emerging Topics in Computing","issn_l":"2168-6750","issn":["2168-6750","2376-4562"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computing","raw_type":"journal-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/132456","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/132456","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","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":48,"referenced_works":["https://openalex.org/W432457081","https://openalex.org/W576690711","https://openalex.org/W1569512666","https://openalex.org/W1974364887","https://openalex.org/W1977267907","https://openalex.org/W1981223475","https://openalex.org/W1986760892","https://openalex.org/W1993530475","https://openalex.org/W2017539140","https://openalex.org/W2035086573","https://openalex.org/W2053677366","https://openalex.org/W2056052206","https://openalex.org/W2058986669","https://openalex.org/W2062458928","https://openalex.org/W2063135700","https://openalex.org/W2069607493","https://openalex.org/W2084029682","https://openalex.org/W2090701332","https://openalex.org/W2091927821","https://openalex.org/W2104922364","https://openalex.org/W2122274805","https://openalex.org/W2127856486","https://openalex.org/W2128024939","https://openalex.org/W2133286538","https://openalex.org/W2135743357","https://openalex.org/W2136885049","https://openalex.org/W2137686028","https://openalex.org/W2138398920","https://openalex.org/W2145901919","https://openalex.org/W2170262723","https://openalex.org/W2172906148","https://openalex.org/W2178098106","https://openalex.org/W2343036766","https://openalex.org/W2345155423","https://openalex.org/W2525305541","https://openalex.org/W2555495202","https://openalex.org/W2555986604","https://openalex.org/W2565516711","https://openalex.org/W2623978803","https://openalex.org/W2733722625","https://openalex.org/W2748409529","https://openalex.org/W2766736793","https://openalex.org/W2790613404","https://openalex.org/W2982720039","https://openalex.org/W3112020351","https://openalex.org/W4235077205","https://openalex.org/W6671611538","https://openalex.org/W6826246611"],"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/W2535915176","https://openalex.org/W2105860728","https://openalex.org/W4287657826"],"abstract_inverted_index":{"The":[0,25,103,159],"performance":[1,29,160],"of":[2,18,30,82,115,145,161,176],"the":[3,9,60,72,80,88,99,124,130,143,151,162,171],"neural":[4],"network":[5,131],"(NN)":[6],"depends":[7],"on":[8,181],"various":[10],"parameters":[11],"such":[12],"as":[13],"structure,":[14],"initial":[15],"weight,":[16],"number":[17],"hidden":[19,73,146],"layer":[20,74,147],"neurons,":[21,148],"and":[22,75,127,168,179],"learning":[23,45,76],"rate.":[24],"improvement":[26],"in":[27,71,122,174],"classification":[28,57],"NN":[31,63],"without":[32],"changing":[33],"its":[34],"structure":[35],"is":[36,65,77,96,166],"a":[37,43,108,113,137],"challenging":[38],"issue.":[39],"This":[40,133],"paper":[41,134],"proposes":[42,136],"novel":[44],"model":[46,165],"called":[47],"Quantum-inspired":[48],"Fuzzy":[49,83],"Based":[50],"Neural":[51],"Network":[52],"(Q-FNN)":[53],"to":[54,155],"solve":[55],"two-class":[56],"problems.":[58],"In":[59],"proposed":[61,163],"model,":[62],"architecture":[64],"formed":[66],"constructively":[67],"by":[68],"adding":[69],"neurons":[70],"performed":[78],"using":[79,98],"concept":[81,106],"c-Means":[84],"(FCM)":[85],"clustering,":[86],"where":[87],"fuzziness":[89],"parameter":[90],"(":[91],"<i":[92,116],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[93,117],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">m</i>":[94,118],")":[95],"evolved":[97],"quantum":[100,104],"computing":[101,105],"concept.":[102],"provides":[107],"large":[109],"search":[110],"space":[111],"for":[112,142],"selection":[114],",":[119],"which":[120,149],"helps":[121],"finding":[123],"optimal":[125],"weights":[126],"also":[128,135],"optimizes":[129],"architecture.":[132],"modified":[138],"step":[139],"activation":[140],"function":[141],"formation":[144],"handles":[150],"overlapping":[152],"samples":[153],"belong":[154],"different":[156],"class":[157],"regions.":[158],"Q-FNN":[164],"superior":[167],"competitive":[169],"with":[170],"state-of-the-art":[172],"methods":[173],"terms":[175],"accuracy,":[177],"sensitivity,":[178],"specificity":[180],"15":[182],"real-world":[183],"benchmark":[184],"datasets.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}