{"id":"https://openalex.org/W2139894694","doi":"https://doi.org/10.1109/cec.2008.4631104","title":"Reduced polynomial neural swarm net for classification task in data mining","display_name":"Reduced polynomial neural swarm net for classification task in data mining","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2139894694","doi":"https://doi.org/10.1109/cec.2008.4631104","mag":"2139894694"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2008.4631104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2008.4631104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5029723093","display_name":"Bijan Bihari Misra","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"B. B. Misra","raw_affiliation_strings":["College of Engineering, Bhubaneswar, Orissa, India","Coll. of Eng. Bhubaneswar, Bhubaneswar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Bhubaneswar, Orissa, India","institution_ids":[]},{"raw_affiliation_string":"Coll. of Eng. Bhubaneswar, Bhubaneswar","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001882647","display_name":"Satchidananda Dehuri","orcid":"https://orcid.org/0000-0003-1435-4531"},"institutions":[{"id":"https://openalex.org/I108526665","display_name":"Fakir Mohan University","ror":"https://ror.org/00g0n6t22","country_code":"IN","type":"education","lineage":["https://openalex.org/I108526665"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Dehuri","raw_affiliation_strings":["Fakir Mohan University, Balasore, Orissa, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fakir Mohan University, Balasore, Orissa, India","institution_ids":["https://openalex.org/I108526665"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005171312","display_name":"Pritam Dash","orcid":"https://orcid.org/0000-0002-9818-4922"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"P. K. Dash","raw_affiliation_strings":["College of Engineering, Bhubaneswar, Orissa, India","College of Engineering Bhubaneswar, Orissa, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Bhubaneswar, Orissa, India","institution_ids":[]},{"raw_affiliation_string":"College of Engineering Bhubaneswar, Orissa, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034931207","display_name":"Ganapati Panda","orcid":"https://orcid.org/0000-0002-3555-5685"},"institutions":[{"id":"https://openalex.org/I16292982","display_name":"National Institute of Technology Rourkela","ror":"https://ror.org/011gmn932","country_code":"IN","type":"education","lineage":["https://openalex.org/I16292982"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"G. Panda","raw_affiliation_strings":["National Institute of Technology, Rourkela, Orissa, India","National institute of Technology Rourkela, Orissa, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Technology, Rourkela, Orissa, India","institution_ids":["https://openalex.org/I16292982"]},{"raw_affiliation_string":"National institute of Technology Rourkela, Orissa, India","institution_ids":["https://openalex.org/I16292982"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"2298","last_page":"2306"},"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9959999918937683,"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":0.9922999739646912,"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":0.7462780475616455},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6866176128387451},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6583741903305054},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6162799596786499},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.590798556804657},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.5540897250175476},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5274907350540161},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.5216044187545776},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4971804916858673},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4899884760379791},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4662453532218933},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.43095892667770386},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.325563907623291},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3212578594684601},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29971015453338623},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12320169806480408},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0912051796913147}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7462780475616455},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6866176128387451},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6583741903305054},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6162799596786499},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.590798556804657},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.5540897250175476},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5274907350540161},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.5216044187545776},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4971804916858673},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4899884760379791},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4662453532218933},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.43095892667770386},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.325563907623291},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3212578594684601},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29971015453338623},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12320169806480408},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0912051796913147},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2008.4631104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2008.4631104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W195514828","https://openalex.org/W1560921017","https://openalex.org/W1565206817","https://openalex.org/W1577668191","https://openalex.org/W1580876177","https://openalex.org/W1925428099","https://openalex.org/W1943122965","https://openalex.org/W1964552793","https://openalex.org/W2013862051","https://openalex.org/W2048604641","https://openalex.org/W2084812512","https://openalex.org/W2113705745","https://openalex.org/W2145745502","https://openalex.org/W2150312211","https://openalex.org/W2150913357","https://openalex.org/W2152195021","https://openalex.org/W2157652935","https://openalex.org/W2161349318","https://openalex.org/W2165299997","https://openalex.org/W2247485652","https://openalex.org/W2332626551","https://openalex.org/W2799061466","https://openalex.org/W2996256129","https://openalex.org/W3112020351","https://openalex.org/W6634034674","https://openalex.org/W6634715273"],"related_works":["https://openalex.org/W1629725936","https://openalex.org/W1509467138","https://openalex.org/W2063426666","https://openalex.org/W2387858752","https://openalex.org/W2122935062","https://openalex.org/W2740004310","https://openalex.org/W2357402652","https://openalex.org/W3127436653","https://openalex.org/W2018427691","https://openalex.org/W2539179334"],"abstract_inverted_index":{"In":[0,29],"this":[1,132],"paper,":[2],"we":[3],"proposed":[4,72,112],"a":[5,81,93,125],"reduced":[6],"polynomial":[7,41],"neural":[8,42],"swarm":[9,85],"net":[10,113],"(RPNSN)":[11],"for":[12,80,152],"the":[13,22,36,50,54,58,77,107,137,146,169],"task":[14,18,32],"of":[15,21,26,33,96,110,127,131,148,165],"classification.":[16],"Classification":[17],"is":[19,89,124,134,150],"one":[20,117],"most":[23],"studied":[24],"tasks":[25],"data":[27,34,157],"mining.":[28],"solving":[30],"classification":[31],"mining,":[35],"classical":[37],"algorithm":[38],"such":[39],"as":[40,98,100],"network":[43,51,73],"(PNN)":[44],"takes":[45],"large":[46],"computation":[47],"time":[48,167],"because":[49],"grows":[52,65],"over":[53],"training":[55],"period":[56],"(i.e.":[57],"partial":[59,78],"descriptions":[60],"(PDs)":[61],"in":[62,66,156,163],"each":[63],"layer":[64,109],"successive":[67],"generations).":[68],"Unlike":[69],"PNN":[70,170],"our":[71,111],"needs":[74],"to":[75,91,106],"generate":[76],"description":[79],"single":[82],"layer.":[83],"Particle":[84],"optimization":[86],"(PSO)":[87],"technique":[88],"used":[90,122],"select":[92],"relevant":[94],"set":[95],"PDs":[97],"well":[99],"features,":[101],"which":[102,114],"are":[103],"then":[104],"fed":[105],"output":[108],"contain":[115],"only":[116],"neuron.":[118],"The":[119],"selection":[120],"mechanism":[121],"here":[123],"kind":[126],"wrapper":[128],"approach.":[129],"Performance":[130],"model":[133],"compared":[135],"with":[136],"results":[138],"obtained":[139],"from":[140],"PNN.":[141],"Simulation":[142],"result":[143],"shows":[144],"that":[145],"performance":[147],"RPNSN":[149],"encouraging":[151],"harnessing":[153],"its":[154],"power":[155],"mining":[158],"area":[159],"and":[160],"also":[161],"better":[162],"terms":[164],"processing":[166],"than":[168],"model.":[171]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}