{"id":"https://openalex.org/W2345918190","doi":"https://doi.org/10.1017/s0890060416000160","title":"A dynamic semisupervised feedforward neural network clustering","display_name":"A dynamic semisupervised feedforward neural network clustering","publication_year":2016,"publication_date":"2016-05-03","ids":{"openalex":"https://openalex.org/W2345918190","doi":"https://doi.org/10.1017/s0890060416000160","mag":"2345918190"},"language":"en","primary_location":{"id":"doi:10.1017/s0890060416000160","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s0890060416000160","pdf_url":null,"source":{"id":"https://openalex.org/S4210193102","display_name":"Artificial intelligence for engineering design analysis and manufacturing","issn_l":"0890-0604","issn":["0890-0604","1469-1760"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence for Engineering Design, Analysis and Manufacturing","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/A5056764233","display_name":"Roya Asadi","orcid":null},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Roya Asadi","raw_affiliation_strings":["Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I33849332"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027758159","display_name":"Sameem Abdul Kareem","orcid":"https://orcid.org/0000-0001-5177-8013"},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Sameem Abdul Kareem","raw_affiliation_strings":["Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I33849332"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053275109","display_name":"Shokoofeh Asadi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shokoofeh Asadi","raw_affiliation_strings":["Department of Agricultural Management Engineering, Faculty of Ebne-Sina, University of Science and Research Branch, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Agricultural Management Engineering, Faculty of Ebne-Sina, University of Science and Research Branch, Tehran, Iran","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112106151","display_name":"Mitra Asadi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210102102","display_name":"Iranian Legal Medicine Organization","ror":"https://ror.org/0192cpe26","country_code":"IR","type":"facility","lineage":["https://openalex.org/I4210102102"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mitra Asadi","raw_affiliation_strings":["Department of Research, Iranian Blood Transfusion Organization, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Research, Iranian Blood Transfusion Organization, Tehran, Iran","institution_ids":["https://openalex.org/I4210102102"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5056764233"],"corresponding_institution_ids":["https://openalex.org/I33849332"],"apc_list":null,"apc_paid":null,"fwci":0.8834,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.83641532,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"31","issue":"1","first_page":"30","last_page":"54"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9830999970436096,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9830999970436096,"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/T10399","display_name":"Hydrocarbon exploration and reservoir analysis","score":0.974399983882904,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9649999737739563,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7515441179275513},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6989865899085999},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5747663378715515},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.5441974997520447},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5288230776786804},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4893786311149597},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.4751855432987213},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4744207262992859},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44385066628456116},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4116087555885315},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3665153384208679}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7515441179275513},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6989865899085999},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5747663378715515},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.5441974997520447},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5288230776786804},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4893786311149597},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.4751855432987213},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4744207262992859},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44385066628456116},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4116087555885315},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3665153384208679},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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:10.1017/s0890060416000160","is_oa":false,"landing_page_url":"https://doi.org/10.1017/s0890060416000160","pdf_url":null,"source":{"id":"https://openalex.org/S4210193102","display_name":"Artificial intelligence for engineering design analysis and manufacturing","issn_l":"0890-0604","issn":["0890-0604","1469-1760"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence for Engineering Design, Analysis and Manufacturing","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":77,"referenced_works":["https://openalex.org/W104109","https://openalex.org/W42443978","https://openalex.org/W204325298","https://openalex.org/W622324598","https://openalex.org/W637887103","https://openalex.org/W1498954346","https://openalex.org/W1501500081","https://openalex.org/W1520580877","https://openalex.org/W1526684518","https://openalex.org/W1573503290","https://openalex.org/W1577577364","https://openalex.org/W1679913846","https://openalex.org/W1965097275","https://openalex.org/W1978760769","https://openalex.org/W1988657400","https://openalex.org/W1997523561","https://openalex.org/W2002011878","https://openalex.org/W2008238389","https://openalex.org/W2008322417","https://openalex.org/W2009155043","https://openalex.org/W2011430131","https://openalex.org/W2011811840","https://openalex.org/W2024190040","https://openalex.org/W2025583059","https://openalex.org/W2027214318","https://openalex.org/W2030010473","https://openalex.org/W2035448707","https://openalex.org/W2038994994","https://openalex.org/W2046185548","https://openalex.org/W2055774693","https://openalex.org/W2074646893","https://openalex.org/W2088395092","https://openalex.org/W2100495367","https://openalex.org/W2115584186","https://openalex.org/W2119937959","https://openalex.org/W2123421115","https://openalex.org/W2124776405","https://openalex.org/W2132578155","https://openalex.org/W2133246939","https://openalex.org/W2133377210","https://openalex.org/W2134383396","https://openalex.org/W2137570937","https://openalex.org/W2138754805","https://openalex.org/W2139419377","https://openalex.org/W2140833774","https://openalex.org/W2142395917","https://openalex.org/W2146267746","https://openalex.org/W2148138104","https://openalex.org/W2150159007","https://openalex.org/W2160422165","https://openalex.org/W2164620221","https://openalex.org/W2167804690","https://openalex.org/W2183348598","https://openalex.org/W2525980177","https://openalex.org/W2799002609","https://openalex.org/W2970180389","https://openalex.org/W2979172579","https://openalex.org/W2998216295","https://openalex.org/W3036846224","https://openalex.org/W3120740533","https://openalex.org/W3121926921","https://openalex.org/W3145217144","https://openalex.org/W3149933339","https://openalex.org/W4230946174","https://openalex.org/W4236722422","https://openalex.org/W4237222446","https://openalex.org/W4244781008","https://openalex.org/W4285719527","https://openalex.org/W4292023222","https://openalex.org/W6678628999","https://openalex.org/W6680294583","https://openalex.org/W6680887930","https://openalex.org/W6686102421","https://openalex.org/W6727431073","https://openalex.org/W6779887223","https://openalex.org/W6820099848","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W2286391053","https://openalex.org/W2982600058","https://openalex.org/W2115072676","https://openalex.org/W4311212821","https://openalex.org/W2045727192","https://openalex.org/W2102065768","https://openalex.org/W4390752998","https://openalex.org/W1529660427","https://openalex.org/W3121106353","https://openalex.org/W2158578859"],"abstract_inverted_index":{"Abstract":[0],"An":[1],"efficient":[2],"single-layer":[3],"dynamic":[4],"semisupervised":[5],"feedforward":[6],"neural":[7],"network":[8,97],"clustering":[9],"method":[10,227],"with":[11,242],"one":[12],"epoch":[13],"training,":[14],"data":[15,21,63,81,92,113,178,185,213],"dimensionality":[16],"reduction,":[17],"and":[18,35,57,70,90,120,129,155,176,180,197,206],"controlling":[19],"noise":[20],"abilities":[22],"is":[23,82,93,100,142,169,228],"discussed":[24],"to":[25,110,161],"overcome":[26],"the":[27,43,51,73,76,80,86,91,96,104,111,121,125,139,145,149,163,166,172,183,188,198,210,216,225,235,238],"problems":[28],"of":[29,39,45,54,79,98,127,131,138,147,151,171,182,190,218,237],"high":[30,36,243],"training":[31],"time,":[32,165],"low":[33],"accuracy,":[34],"memory":[37],"complexity":[38],"clustering.":[40],"Dynamically":[41],"after":[42],"entrance":[44],"each":[46,132],"new":[47],"online":[48,62],"input":[49],"datum,":[50],"code":[52],"book":[53],"nonrandom":[55],"weights":[56],"other":[58],"important":[59,66,88],"information":[60,67],"about":[61],"as":[64,234],"essentially":[65,87],"are":[68,134],"updated":[69],"stored":[71],"in":[72,159,203,230],"memory.":[74],"Consequently,":[75],"exclusive":[77,122],"threshold":[78],"calculated":[83],"based":[84],"on":[85],"information,":[89],"clustered.":[94],"Then,":[95],"clusters":[99,128],"updated.":[101,135],"After":[102],"learning,":[103],"model":[105,141],"assigns":[106],"a":[107,116],"class":[108],"label":[109],"unlabeled":[112],"by":[114],"considering":[115],"linear":[117],"activation":[118],"function":[119],"threshold.":[123],"Finally,":[124],"number":[126,146],"density":[130],"cluster":[133],"The":[136],"accuracy":[137],"proposed":[140,226],"measured":[143],"through":[144],"clusters,":[148],"quantity":[150],"correctly":[152],"classified":[153],"nodes,":[154],"F":[156,167,200],"-measure.":[157],"Briefly,":[158],"order":[160],"predict":[162],"survival":[164],"-measure":[168,201],"100%":[170,207],"Iris,":[173],"Musk2,":[174],"Arcene,":[175],"Yeast":[177],"sets":[179],"99.96%":[181],"Spambase":[184],"set":[186,214],"from":[187,215],"University":[189,217],"California":[191],"at":[192],"Irvine":[193],"Machine":[194],"Learning":[195],"Repository;":[196],"superior":[199],"results":[202],"between":[204],"98.14%":[205],"accuracies":[208],"for":[209],"breast":[211],"cancer":[212],"Malaya":[219],"Medical":[220],"Center.":[221],"We":[222],"show":[223],"that":[224],"applicable":[229],"different":[231],"areas,":[232],"such":[233],"prediction":[236],"hydrate":[239],"formation":[240],"temperature":[241],"accuracy.":[244]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}