{"id":"https://openalex.org/W4415758793","doi":"https://doi.org/10.1016/j.softx.2025.102428","title":"ANN-Excel: Artificial neural network framework in excel","display_name":"ANN-Excel: Artificial neural network framework in excel","publication_year":2025,"publication_date":"2025-11-01","ids":{"openalex":"https://openalex.org/W4415758793","doi":"https://doi.org/10.1016/j.softx.2025.102428"},"language":"en","primary_location":{"id":"doi:10.1016/j.softx.2025.102428","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.softx.2025.102428","pdf_url":null,"source":{"id":"https://openalex.org/S2506067282","display_name":"SoftwareX","issn_l":"2352-7110","issn":["2352-7110"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SoftwareX","raw_type":"journal-article"},"type":"software-paper","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1016/j.softx.2025.102428","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029854402","display_name":"Jaehyeong Lee","orcid":"https://orcid.org/0000-0001-7775-1142"},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaehyeong Lee","raw_affiliation_strings":["Department of Computer Engineering, Gachon University, 1342 Seongnam Daero, Seongnam, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Gachon University, 1342 Seongnam Daero, Seongnam, South Korea","institution_ids":["https://openalex.org/I12832649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006119424","display_name":"Yourim Yoon","orcid":"https://orcid.org/0000-0001-5875-0275"},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yourim Yoon","raw_affiliation_strings":["Department of Computer Engineering, Gachon University, 1342 Seongnam Daero, Seongnam, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Gachon University, 1342 Seongnam Daero, Seongnam, South Korea","institution_ids":["https://openalex.org/I12832649"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005365069","display_name":"Zong Woo Geem","orcid":"https://orcid.org/0000-0002-0370-5562"},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Zong Woo Geem","raw_affiliation_strings":["Department of Smart City, Gachon University, 1342 Seongnam Daero, Seongnam, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-0370-5562","affiliations":[{"raw_affiliation_string":"Department of Smart City, Gachon University, 1342 Seongnam Daero, Seongnam, South Korea","institution_ids":["https://openalex.org/I12832649"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5005365069"],"corresponding_institution_ids":["https://openalex.org/I12832649"],"apc_list":{"value":760,"currency":"USD","value_usd":760},"apc_paid":{"value":760,"currency":"USD","value_usd":760},"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":null,"first_page":"102428","last_page":"102428"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13197","display_name":"Spreadsheets and End-User Computing","score":0.5435000061988831,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T13197","display_name":"Spreadsheets and End-User Computing","score":0.5435000061988831,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.02879999950528145,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11875","display_name":"Statistics Education and Methodologies","score":0.020999999716877937,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.79830002784729},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7371000051498413},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.652999997138977},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6523000001907349},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5559999942779541},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.39750000834465027}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8198999762535095},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.79830002784729},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7371000051498413},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.652999997138977},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6523000001907349},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5777000188827515},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5559999942779541},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5539000034332275},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46880000829696655},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.39750000834465027},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.3666999936103821},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3188999891281128},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.3181000053882599},{"id":"https://openalex.org/C2984968299","wikidata":"https://www.wikidata.org/wiki/Q1077784","display_name":"Software tool","level":3,"score":0.2793999910354614},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2718999981880188}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.softx.2025.102428","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.softx.2025.102428","pdf_url":null,"source":{"id":"https://openalex.org/S2506067282","display_name":"SoftwareX","issn_l":"2352-7110","issn":["2352-7110"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SoftwareX","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:80e0caed578446798d530ac9907855bc","is_oa":true,"landing_page_url":"https://doaj.org/article/80e0caed578446798d530ac9907855bc","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"SoftwareX, Vol 32, Iss , Pp 102428- (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1016/j.softx.2025.102428","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.softx.2025.102428","pdf_url":null,"source":{"id":"https://openalex.org/S2506067282","display_name":"SoftwareX","issn_l":"2352-7110","issn":["2352-7110"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SoftwareX","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4493022493","display_name":null,"funder_award_id":"RS-2024\\u201300441420","funder_id":"https://openalex.org/F4320335199","funder_display_name":"Korea Institute of Energy Technology Evaluation and Planning"},{"id":"https://openalex.org/G5547765723","display_name":null,"funder_award_id":"RS-2024\\u201300442817","funder_id":"https://openalex.org/F4320335199","funder_display_name":"Korea Institute of Energy Technology Evaluation and Planning"}],"funders":[{"id":"https://openalex.org/F4320321681","display_name":"Ministry of Trade, Industry and Energy","ror":"https://ror.org/008nkqk13"},{"id":"https://openalex.org/F4320335199","display_name":"Korea Institute of Energy Technology Evaluation and Planning","ror":"https://ror.org/02zq38y32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W3015351929","https://openalex.org/W3119777031","https://openalex.org/W3158589654","https://openalex.org/W4210357113","https://openalex.org/W4362691888","https://openalex.org/W4366988472","https://openalex.org/W4392130427","https://openalex.org/W4400222788","https://openalex.org/W4404022276","https://openalex.org/W4407629763"],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"an":[5,128],"Artificial":[6],"Neural":[7],"Network":[8],"in":[9,29,68,86],"Excel":[10,69],"(ANN-Excel)":[11],"software.":[12],"This":[13,123],"software":[14,44],"implements":[15],"neural":[16,135],"network-based":[17],"prediction":[18],"feature":[19],"by":[20],"utilizing":[21],"Excel,":[22],"which":[23],"is":[24],"easy":[25,33],"to":[26,34,62,110],"handle":[27],"data":[28,58],"a":[30],"spreadsheet":[31],"and":[32,57,84,97,112,130],"perform":[35],"using":[36],"Visual":[37],"Basic":[38],"for":[39,133],"Applications":[40],"(VBA)":[41],"code.":[42],"The":[43,100],"has":[45],"been":[46],"implemented":[47],"adopting":[48],"feed-forward":[49],"multilayer":[50],"perceptron,":[51],"error":[52],"back-propagation":[53],"algorithm,":[54],"momentum":[55],"process,":[56],"scaling,":[59],"enabling":[60],"users":[61],"utilize":[63],"machine":[64],"learning":[65],"technique":[66],"directly":[67],"without":[70],"prior":[71],"knowledge":[72],"of":[73,78,90],"mechanism.":[74],"Also,":[75],"the":[76],"performance":[77,109],"ANN-Excel":[79,104,126],"was":[80],"compared":[81],"with":[82],"WEKA":[83,111],"Keras":[85,113],"Python,":[87],"via":[88],"Sum":[89],"Squared":[91,95],"Error,":[92],"Root":[93],"Mean":[94],"Error(RMSE),":[96],"R-Square":[98],"metrics.":[99],"results":[101],"show":[102],"that":[103],"achieves":[105],"comparable":[106],"or":[107],"superior":[108],"across":[114],"benchmark":[115],"datasets,":[116],"while":[117],"remaining":[118],"fully":[119],"operable":[120],"within":[121],"Excel.":[122],"work":[124],"highlights":[125],"as":[127],"accessible":[129],"reproducible":[131],"tool":[132],"integrating":[134],"networks":[136],"into":[137],"spreadsheet-based":[138],"analysis.":[139]},"counts_by_year":[],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-11-01T00:00:00"}
