{"id":"https://openalex.org/W2565283203","doi":"https://doi.org/10.1515/jaiscr-2016-0010","title":"Enhancing Constructive Neural Network Performance Using Functionally Expanded Input Data","display_name":"Enhancing Constructive Neural Network Performance Using Functionally Expanded Input Data","publication_year":2016,"publication_date":"2016-03-10","ids":{"openalex":"https://openalex.org/W2565283203","doi":"https://doi.org/10.1515/jaiscr-2016-0010","mag":"2565283203"},"language":"en","primary_location":{"id":"doi:10.1515/jaiscr-2016-0010","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jaiscr-2016-0010","pdf_url":"https://content.sciendo.com/downloadpdf/journals/jaiscr/6/2/article-p119.pdf","source":{"id":"https://openalex.org/S4210223945","display_name":"Journal of Artificial Intelligence and Soft Computing Research","issn_l":"2083-2567","issn":["2083-2567","2449-6499"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317241","host_organization_name":"Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology","host_organization_lineage":["https://openalex.org/P4310317241"],"host_organization_lineage_names":["Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Artificial Intelligence and Soft Computing Research","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://content.sciendo.com/downloadpdf/journals/jaiscr/6/2/article-p119.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062290547","display_name":"Jo\u00e3o Roberto Bertini","orcid":"https://orcid.org/0000-0002-1679-3151"},"institutions":[{"id":"https://openalex.org/I177909021","display_name":"Universidade Federal de S\u00e3o Carlos","ror":"https://ror.org/00qdc6m37","country_code":"BR","type":"education","lineage":["https://openalex.org/I177909021"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jo\u00e3o Roberto Bertini Junior","raw_affiliation_strings":["Department of Computer Science, UFSCar, Rodovia Washington Lu\u00eds, km 235, S\u00e3o Carlos-SP, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, UFSCar, Rodovia Washington Lu\u00eds, km 235, S\u00e3o Carlos-SP, Brazil","institution_ids":["https://openalex.org/I177909021"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059556411","display_name":"Maria do Carmo Nicoletti","orcid":"https://orcid.org/0000-0003-4528-7984"},"institutions":[{"id":"https://openalex.org/I177909021","display_name":"Universidade Federal de S\u00e3o Carlos","ror":"https://ror.org/00qdc6m37","country_code":"BR","type":"education","lineage":["https://openalex.org/I177909021"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Maria do Carmo Nicoletti","raw_affiliation_strings":["Department of Computer Science, UFSCar & FACCAMP, S\u00e3o Carlos & Campo Limpo Paulista - SP, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, UFSCar & FACCAMP, S\u00e3o Carlos & Campo Limpo Paulista - SP, Brazil","institution_ids":["https://openalex.org/I177909021"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I177909021"],"apc_list":null,"apc_paid":null,"fwci":6.6239,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.96845125,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"6","issue":"2","first_page":"119","last_page":"131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9976999759674072,"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":0.9976999759674072,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9962000250816345,"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":0.9926999807357788,"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/constructive","display_name":"Constructive","score":0.8211207389831543},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7550911903381348},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6902154088020325},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6131664514541626},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5534183382987976},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5346004366874695},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.5240293145179749},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.4865211844444275},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.12018182873725891},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11116644740104675},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.08269011974334717}],"concepts":[{"id":"https://openalex.org/C2778701210","wikidata":"https://www.wikidata.org/wiki/Q28130034","display_name":"Constructive","level":3,"score":0.8211207389831543},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7550911903381348},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6902154088020325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6131664514541626},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5534183382987976},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5346004366874695},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.5240293145179749},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.4865211844444275},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.12018182873725891},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11116644740104675},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.08269011974334717},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1515/jaiscr-2016-0010","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jaiscr-2016-0010","pdf_url":"https://content.sciendo.com/downloadpdf/journals/jaiscr/6/2/article-p119.pdf","source":{"id":"https://openalex.org/S4210223945","display_name":"Journal of Artificial Intelligence and Soft Computing Research","issn_l":"2083-2567","issn":["2083-2567","2449-6499"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317241","host_organization_name":"Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology","host_organization_lineage":["https://openalex.org/P4310317241"],"host_organization_lineage_names":["Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Artificial Intelligence and Soft Computing Research","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1515/jaiscr-2016-0010","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jaiscr-2016-0010","pdf_url":"https://content.sciendo.com/downloadpdf/journals/jaiscr/6/2/article-p119.pdf","source":{"id":"https://openalex.org/S4210223945","display_name":"Journal of Artificial Intelligence and Soft Computing Research","issn_l":"2083-2567","issn":["2083-2567","2449-6499"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317241","host_organization_name":"Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology","host_organization_lineage":["https://openalex.org/P4310317241"],"host_organization_lineage_names":["Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Artificial Intelligence and Soft Computing Research","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2565283203.pdf","grobid_xml":"https://content.openalex.org/works/W2565283203.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W117096852","https://openalex.org/W118756463","https://openalex.org/W1498436455","https://openalex.org/W1533861849","https://openalex.org/W1541274513","https://openalex.org/W1573889197","https://openalex.org/W1649400741","https://openalex.org/W2005355801","https://openalex.org/W2010659032","https://openalex.org/W2012638612","https://openalex.org/W2033613958","https://openalex.org/W2054882585","https://openalex.org/W2055417373","https://openalex.org/W2082610078","https://openalex.org/W2083218385","https://openalex.org/W2095489867","https://openalex.org/W2109779438","https://openalex.org/W2110179049","https://openalex.org/W2128033389","https://openalex.org/W2129727551","https://openalex.org/W2147524202","https://openalex.org/W2166064337","https://openalex.org/W2500792368","https://openalex.org/W2949667497","https://openalex.org/W3120740533","https://openalex.org/W4285719527","https://openalex.org/W4299101042","https://openalex.org/W4299518610"],"related_works":["https://openalex.org/W2258992572","https://openalex.org/W2359410228","https://openalex.org/W1604847762","https://openalex.org/W2354116905","https://openalex.org/W3177279640","https://openalex.org/W3170086649","https://openalex.org/W2381165384","https://openalex.org/W1629725936","https://openalex.org/W1874498466","https://openalex.org/W2272153909"],"abstract_inverted_index":{"Abstract":[0],"Constructive":[1],"learning":[2,71,107],"algorithms":[3,82,155],"are":[4],"an":[5],"efficient":[6],"way":[7],"to":[8,65],"train":[9],"feedforward":[10],"neural":[11,24],"networks.":[12],"Some":[13],"of":[14,22,59,115],"their":[15,33],"features,":[16],"such":[17,52],"as":[18,37,39,48,97],"the":[19,23,43,57,76,113],"automatic":[20],"definition":[21],"network":[25],"(NN)":[26],"architecture":[27],"and":[28,134],"its":[29],"fast":[30],"training,":[31],"promote":[32],"high":[34],"adaptive":[35],"capacity,":[36],"well":[38],"allow":[40],"for":[41,78,105],"skipping":[42],"usual":[44],"pre-training":[45],"phase,":[46],"known":[47],"model":[49],"selection.":[50],"However,":[51],"advantages":[53],"usually":[54],"come":[55],"with":[56,68],"price":[58],"lower":[60],"accuracy":[61,94],"rates,":[62],"when":[63,153],"compared":[64],"those":[66],"obtained":[67],"conventional":[69,79],"NN":[70,80,87],"approaches.":[72],"This":[73],"is,":[74],"perhaps,":[75],"reason":[77],"training":[81],"being":[83],"preferred":[84],"over":[85],"constructive":[86],"(CoNN)":[88],"algorithms.":[89],"Aiming":[90],"at":[91],"enhancing":[92],"CoNN":[93,129,154],"performance":[95,148],"and,":[96],"a":[98,102,143],"result,":[99],"making":[100],"them":[101],"competitive":[103],"choice":[104],"machine":[106],"based":[108],"applications,":[109],"this":[110,124],"paper":[111,125],"proposes":[112],"use":[114],"functionally":[116,158],"expanded":[117,159],"input":[118,160],"data.":[119,161],"The":[120],"investigation":[121],"described":[122],"in":[123],"considered":[126],"six":[127],"two-class":[128],"algorithms,":[130],"ten":[131],"data":[132],"domains":[133],"seven":[135],"polynomial":[136],"expansions.":[137],"Results":[138],"from":[139,157],"experiments,":[140],"followed":[141],"by":[142],"comparative":[144],"analysis,":[145],"show":[146],"that":[147],"rates":[149],"can":[150],"be":[151],"improved":[152],"learn":[156]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}