{"id":"https://openalex.org/W2552432744","doi":"https://doi.org/10.1109/icawst.2013.6765491","title":"Inducing high performance neural networks based on an improved decision boundary making algorithm","display_name":"Inducing high performance neural networks based on an improved decision boundary making algorithm","publication_year":2013,"publication_date":"2013-11-01","ids":{"openalex":"https://openalex.org/W2552432744","doi":"https://doi.org/10.1109/icawst.2013.6765491","mag":"2552432744"},"language":"en","primary_location":{"id":"doi:10.1109/icawst.2013.6765491","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2013.6765491","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Joint Conference on Awareness Science and Technology &amp; Ubi-Media Computing (iCAST 2013 &amp; UMEDIA 2013)","raw_type":"proceedings-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/A5002464558","display_name":"Yuya Kaneda","orcid":null},"institutions":[{"id":"https://openalex.org/I141591182","display_name":"University of Aizu","ror":"https://ror.org/02pg0e883","country_code":"JP","type":"education","lineage":["https://openalex.org/I141591182"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuya Kaneda","raw_affiliation_strings":["Department of Computer and Information Systems, University of Aizu, Aizu-Wakamatsu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Systems, University of Aizu, Aizu-Wakamatsu, Japan","institution_ids":["https://openalex.org/I141591182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069452869","display_name":"Qiangfu Zhao","orcid":"https://orcid.org/0000-0003-3101-749X"},"institutions":[{"id":"https://openalex.org/I141591182","display_name":"University of Aizu","ror":"https://ror.org/02pg0e883","country_code":"JP","type":"education","lineage":["https://openalex.org/I141591182"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Qiangfu Zhao","raw_affiliation_strings":["Department of Computer and Information Systems, University of Aizu, Aizu-Wakamatsu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Systems, University of Aizu, Aizu-Wakamatsu, Japan","institution_ids":["https://openalex.org/I141591182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103166030","display_name":"Yong Liu","orcid":"https://orcid.org/0000-0002-4663-6739"},"institutions":[{"id":"https://openalex.org/I141591182","display_name":"University of Aizu","ror":"https://ror.org/02pg0e883","country_code":"JP","type":"education","lineage":["https://openalex.org/I141591182"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yong Liu","raw_affiliation_strings":["Department of Computer and Information Systems, University of Aizu, Aizu-Wakamatsu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Systems, University of Aizu, Aizu-Wakamatsu, Japan","institution_ids":["https://openalex.org/I141591182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060051647","display_name":"Neil Y. Yen","orcid":"https://orcid.org/0000-0001-9226-3163"},"institutions":[{"id":"https://openalex.org/I141591182","display_name":"University of Aizu","ror":"https://ror.org/02pg0e883","country_code":"JP","type":"education","lineage":["https://openalex.org/I141591182"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Neil Y. Yen","raw_affiliation_strings":["Department of Computer and Information Systems, University of Aizu, Aizu-Wakamatsu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Systems, University of Aizu, Aizu-Wakamatsu, Japan","institution_ids":["https://openalex.org/I141591182"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I141591182"],"apc_list":null,"apc_paid":null,"fwci":1.483,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.87425875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"497","last_page":"503"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9988999962806702,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9988999962806702,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9972000122070312,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7996773719787598},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7160869836807251},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.6152002811431885},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5922951698303223},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5719863176345825},{"id":"https://openalex.org/keywords/decision-boundary","display_name":"Decision boundary","score":0.5232976078987122},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5075951814651489},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4804948568344116},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4761252999305725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4631699025630951},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.43151095509529114},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.416080504655838},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.12526428699493408},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0772152841091156}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7996773719787598},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7160869836807251},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.6152002811431885},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5922951698303223},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5719863176345825},{"id":"https://openalex.org/C42023084","wikidata":"https://www.wikidata.org/wiki/Q5249231","display_name":"Decision boundary","level":3,"score":0.5232976078987122},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5075951814651489},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4804948568344116},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4761252999305725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4631699025630951},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.43151095509529114},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.416080504655838},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.12526428699493408},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0772152841091156},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icawst.2013.6765491","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2013.6765491","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Joint Conference on Awareness Science and Technology &amp; Ubi-Media Computing (iCAST 2013 &amp; UMEDIA 2013)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7200000286102295,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1966305967","https://openalex.org/W2019079037","https://openalex.org/W2137983211","https://openalex.org/W2148603752","https://openalex.org/W2149684865","https://openalex.org/W2149846618"],"related_works":["https://openalex.org/W4310513257","https://openalex.org/W4225319475","https://openalex.org/W2786391746","https://openalex.org/W2991483587","https://openalex.org/W2113853244","https://openalex.org/W2042026454","https://openalex.org/W4381430104","https://openalex.org/W2995102745","https://openalex.org/W4226059458","https://openalex.org/W2914559142"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"portable":[3],"computing":[4],"devices":[5],"(PCDs)":[6],"such":[7],"as":[8],"smart":[9],"phones":[10],"are":[11,20],"becoming":[12],"more":[13,15],"and":[14,17,75,167],"popular,":[16],"many":[18],"users":[19],"using":[21],"applications":[22,28],"on":[23,62],"their":[24],"PCDs.":[25],"To":[26,48,96],"customize":[27],"for":[29,147,155],"each":[30],"user,":[31],"we":[32,54,70,101,151],"suggest":[33],"to":[34,122],"use":[35],"awareness":[36],"agents":[37],"(A-agents)":[38],"that":[39,161],"can":[40,71],"help":[41],"users.":[42],"However,":[43,79],"A-agents":[44],"usually":[45],"become":[46],"large.":[47],"reduce":[49,97],"the":[50,80,87,98,162],"size":[51],"of":[52,90,118,132],"A-agents,":[53],"have":[55],"proposed":[56,163],"decision":[57,107],"boundary":[58,108],"learning":[59,169],"(DBL)":[60],"based":[61],"particle":[63],"swarm":[64],"optimization":[65],"(PSO)":[66],"algorithm.":[67],"Through":[68],"experiments,":[69],"get":[72],"a":[73,103,153],"compact":[74],"high":[76],"performance":[77],"A-agent.":[78],"training":[81,125,144],"time":[82,170],"becomes":[83],"very":[84,94],"long.":[85],"Because,":[86],"calculation":[88,99],"cost":[89],"PSO":[91],"algorithm":[92,111,120],"is":[93,121,139,171],"high.":[95],"cost,":[100],"propose":[102],"simple":[104],"method":[105],"called":[106],"making":[109],"(DBM)":[110],"in":[112],"this":[113,119],"paper.":[114],"The":[115],"basic":[116],"idea":[117],"generate":[123],"new":[124,143],"data":[126,149],"around":[127],"support":[128],"vectors":[129],"(S":[130],"Vs)":[131],"an":[133,137],"S":[134],"VM.":[135],"Then,":[136],"NN":[138],"obtained":[140],"from":[141],"these":[142],"data.":[145,157],"And,":[146],"generating":[148],"effectively,":[150],"set":[152],"condition":[154],"adding":[156],"Experimental":[158],"results":[159],"show":[160],"DBM":[164],"outperforms":[165],"DBL,":[166],"its":[168],"shorter.":[172]},"counts_by_year":[{"year":2014,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
