{"id":"https://openalex.org/W4377043241","doi":"https://doi.org/10.1186/s40537-023-00739-y","title":"Practical ANN prediction models for the axial capacity of square CFST columns","display_name":"Practical ANN prediction models for the axial capacity of square CFST columns","publication_year":2023,"publication_date":"2023-05-17","ids":{"openalex":"https://openalex.org/W4377043241","doi":"https://doi.org/10.1186/s40537-023-00739-y"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-023-00739-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-023-00739-y","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-023-00739-y","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-023-00739-y","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034988016","display_name":"Filip \u0110or\u0111evi\u0107","orcid":"https://orcid.org/0000-0002-4596-0131"},"institutions":[{"id":"https://openalex.org/I4068193","display_name":"University of Belgrade","ror":"https://ror.org/02qsmb048","country_code":"RS","type":"education","lineage":["https://openalex.org/I4068193"]}],"countries":["RS"],"is_corresponding":true,"raw_author_name":"Filip \u0110or\u0111evi\u0107","raw_affiliation_strings":["Department of Engineering Mechanics and Theory of Structures, Faculty of Civil Engineering, University of Belgrade, Bulevar Kralja Aleksandra 73, 11000, Belgrade, Serbia"],"raw_orcid":"https://orcid.org/0000-0002-4596-0131","affiliations":[{"raw_affiliation_string":"Department of Engineering Mechanics and Theory of Structures, Faculty of Civil Engineering, University of Belgrade, Bulevar Kralja Aleksandra 73, 11000, Belgrade, Serbia","institution_ids":["https://openalex.org/I4068193"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103083758","display_name":"Svetlana M. Kosti\u0107","orcid":"https://orcid.org/0000-0001-7978-3332"},"institutions":[{"id":"https://openalex.org/I4068193","display_name":"University of Belgrade","ror":"https://ror.org/02qsmb048","country_code":"RS","type":"education","lineage":["https://openalex.org/I4068193"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Svetlana M. Kosti\u0107","raw_affiliation_strings":["Department of Engineering Mechanics and Theory of Structures, Faculty of Civil Engineering, University of Belgrade, Bulevar Kralja Aleksandra 73, 11000, Belgrade, Serbia"],"raw_orcid":"https://orcid.org/0000-0001-7978-3332","affiliations":[{"raw_affiliation_string":"Department of Engineering Mechanics and Theory of Structures, Faculty of Civil Engineering, University of Belgrade, Bulevar Kralja Aleksandra 73, 11000, Belgrade, Serbia","institution_ids":["https://openalex.org/I4068193"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5034988016"],"corresponding_institution_ids":["https://openalex.org/I4068193"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":2.2046,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.86220785,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"10","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10713","display_name":"Structural Load-Bearing Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10713","display_name":"Structural Load-Bearing Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"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/T10479","display_name":"Structural Behavior of Reinforced Concrete","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6224886775016785},{"id":"https://openalex.org/keywords/eurocode","display_name":"Eurocode","score":0.6047762036323547},{"id":"https://openalex.org/keywords/stub","display_name":"Stub (electronics)","score":0.5607643127441406},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5314452052116394},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.496634304523468},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4192211329936981},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4132433533668518},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.3312055170536041},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2656729817390442},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24958351254463196},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1437748372554779},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12342721223831177}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6224886775016785},{"id":"https://openalex.org/C181781793","wikidata":"https://www.wikidata.org/wiki/Q1434513","display_name":"Eurocode","level":2,"score":0.6047762036323547},{"id":"https://openalex.org/C63676506","wikidata":"https://www.wikidata.org/wiki/Q3976238","display_name":"Stub (electronics)","level":2,"score":0.5607643127441406},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5314452052116394},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.496634304523468},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4192211329936981},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4132433533668518},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.3312055170536041},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2656729817390442},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24958351254463196},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1437748372554779},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12342721223831177}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1186/s40537-023-00739-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-023-00739-y","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-023-00739-y","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d44c742923ab408e84aab2196be0c2ba","is_oa":true,"landing_page_url":"https://doaj.org/article/d44c742923ab408e84aab2196be0c2ba","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":"Journal of Big Data, Vol 10, Iss 1, Pp 1-22 (2023)","raw_type":"article"},{"id":"pmh:oai:grafar.grf.bg.ac.rs:123456789/3107","is_oa":false,"landing_page_url":"https://grafar.grf.bg.ac.rs/handle/123456789/3107","pdf_url":null,"source":{"id":"https://openalex.org/S4306402541","display_name":"GraFar (University of Belgrade, Faculty of Civil Engineering)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210101313","host_organization_name":"University Hospital Center Dr Dragi\u0161a Mi\u0161ovi\u0107","host_organization_lineage":["https://openalex.org/I4210101313"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-023-00739-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-023-00739-y","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-023-00739-y","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4377043241.pdf"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W1973724244","https://openalex.org/W2034776000","https://openalex.org/W2036469371","https://openalex.org/W2090964380","https://openalex.org/W2093804688","https://openalex.org/W2121985848","https://openalex.org/W2154338144","https://openalex.org/W2223491879","https://openalex.org/W2337503050","https://openalex.org/W2396743875","https://openalex.org/W2397349486","https://openalex.org/W2497732411","https://openalex.org/W2534753755","https://openalex.org/W2620729511","https://openalex.org/W2625863699","https://openalex.org/W2907556463","https://openalex.org/W2921748070","https://openalex.org/W2956085207","https://openalex.org/W2961073028","https://openalex.org/W2967114089","https://openalex.org/W2969779475","https://openalex.org/W2976898424","https://openalex.org/W3012196042","https://openalex.org/W3015361079","https://openalex.org/W3023255099","https://openalex.org/W3025305737","https://openalex.org/W3040799676","https://openalex.org/W3044546013","https://openalex.org/W3044854890","https://openalex.org/W3095437400","https://openalex.org/W3097586586","https://openalex.org/W3114046055","https://openalex.org/W3117440001","https://openalex.org/W3129133132","https://openalex.org/W3135524811","https://openalex.org/W3135609456","https://openalex.org/W3144142665","https://openalex.org/W3158864911","https://openalex.org/W3184054046","https://openalex.org/W3184673931","https://openalex.org/W3185348343","https://openalex.org/W3193169946","https://openalex.org/W3201401131","https://openalex.org/W3216206061","https://openalex.org/W4205928000","https://openalex.org/W4229021232","https://openalex.org/W4235581866","https://openalex.org/W4253667136","https://openalex.org/W4289867711","https://openalex.org/W4297834375"],"related_works":["https://openalex.org/W1513847198","https://openalex.org/W2159929821","https://openalex.org/W2029848866","https://openalex.org/W2379163666","https://openalex.org/W4321613789","https://openalex.org/W2901753837","https://openalex.org/W2081323054","https://openalex.org/W2170172710","https://openalex.org/W2020837953","https://openalex.org/W2001152851"],"abstract_inverted_index":{"Abstract":[0],"In":[1],"this":[2,102],"study,":[3],"two":[4],"machine-learning":[5],"algorithms":[6],"based":[7],"on":[8,190],"the":[9,19,54,86,93,96,107,128,134,144,154,161,187,191,210,214],"artificial":[10],"neural":[11],"network":[12,57],"(ANN)":[13],"model":[14,98,182,217],"are":[15,50,116],"proposed":[16],"to":[17,52,79,173,221],"estimate":[18],"ultimate":[20],"compressive":[21],"strength":[22],"of":[23,31,41,67,95,109,130,209,213,225],"square":[24],"concrete-filled":[25],"steel":[26],"tubular":[27],"columns.":[28],"The":[29,48,113,123,139,179],"development":[30,94],"such":[32],"prognostic":[33],"models":[34,49,115,132],"is":[35,83,90,183,218],"achievable":[36],"since":[37],"an":[38],"extensive":[39],"set":[40],"experimental":[42,121,155],"tests":[43],"exist":[44],"for":[45,92,101],"these":[46],"members.":[47],"developed":[51,189],"use":[53],"simplest":[55],"possible":[56],"architecture":[58],"but":[59,194],"attain":[60],"very":[61],"high":[62,206],"accuracy.":[63],"A":[64,169],"total":[65],"dataset":[66],"1022":[68],"specimens":[69],"with":[70,120,153,200],"685":[71],"stub":[72,174],"columns":[73,77,177,226],"and":[74,164,175,230],"337":[75],"slender":[76,176],"subjected":[78],"pure":[80],"axial":[81],"compression":[82],"collected":[84],"from":[85,143],"available":[87],"literature.":[88],"This":[89],"significant":[91],"initial":[97],"considering":[99],"that":[100],"field":[103],"it":[104],"falls":[105],"under":[106],"scope":[108],"big":[110],"data":[111],"analysis.":[112],"ANN":[114,216],"validated":[117],"by":[118,160],"comparison":[119],"results.":[122],"validation":[124],"study":[125],"has":[126],"shown":[127],"superiority":[129],"surrogate":[131],"over":[133],"Eurocode":[135,165,228],"4":[136,166,229],"design":[137,167],"code.":[138,168],"empirical":[140],"equation":[141],"derived":[142],"best-tuned":[145],"Bayesian":[146,180],"regularization":[147],"algorithm":[148,193],"shows":[149],"a":[150,196,222],"better":[151,197],"agreement":[152],"results":[156],"than":[157,186,227],"those":[158],"obtained":[159],"Levenberg\u2013Marquardt":[162,192],"algorithm,":[163],"similar":[170],"conclusion":[171],"applies":[172],"independently.":[178],"regularization-based":[181],"negligibly":[184],"slower":[185],"one":[188,208],"gives":[195],"generalization":[198],"even":[199],"simplified":[201],"ANN.":[202],"Generally,":[203],"besides":[204],"its":[205,219],"accuracy,":[207],"key":[211],"benefits":[212],"presented":[215],"applicability":[220],"broader":[223],"range":[224],"other":[231],"studies.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
