{"id":"https://openalex.org/W4291473167","doi":"https://doi.org/10.3233/faia220084","title":"Forecasting Construction Cost Using Artificial Neural Network for Road Projects in the Department of Public Works and Highways Region XI","display_name":"Forecasting Construction Cost Using Artificial Neural Network for Road Projects in the Department of Public Works and Highways Region XI","publication_year":2022,"publication_date":"2022-08-10","ids":{"openalex":"https://openalex.org/W4291473167","doi":"https://doi.org/10.3233/faia220084"},"language":"en","primary_location":{"id":"doi:10.3233/faia220084","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia220084","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA220084","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA220084","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043137162","display_name":"Donna Ville L. Gante","orcid":"https://orcid.org/0000-0002-6912-1527"},"institutions":[{"id":"https://openalex.org/I137967721","display_name":"Map\u00faa University","ror":"https://ror.org/040rd2b57","country_code":"PH","type":"facility","lineage":["https://openalex.org/I137967721"]}],"countries":["PH"],"is_corresponding":true,"raw_author_name":"Donna Ville Gante","raw_affiliation_strings":["School of Graduate Studies, Mapua University, Manila, Philippines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Graduate Studies, Mapua University, Manila, Philippines","institution_ids":["https://openalex.org/I137967721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037965570","display_name":"Dario Landa-Silva","orcid":"https://orcid.org/0000-0002-9499-6827"},"institutions":[{"id":"https://openalex.org/I137967721","display_name":"Map\u00faa University","ror":"https://ror.org/040rd2b57","country_code":"PH","type":"facility","lineage":["https://openalex.org/I137967721"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Dante L. Silva","raw_affiliation_strings":["School of Civil, Environmental, & Geological Engineering, Mapua University, Manila, Philippines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Civil, Environmental, & Geological Engineering, Mapua University, Manila, Philippines","institution_ids":["https://openalex.org/I137967721"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035130681","display_name":"Meriam P. Leopoldo","orcid":"https://orcid.org/0009-0002-8892-0364"},"institutions":[{"id":"https://openalex.org/I2801908056","display_name":"Malayan Colleges Laguna","ror":"https://ror.org/05b9pe067","country_code":"PH","type":"education","lineage":["https://openalex.org/I2801908056"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Meriam P. Leopoldo","raw_affiliation_strings":["College of Engineering and Architecture, Mapua Malayan Colleges Mindanao, Davao, Philippines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering and Architecture, Mapua Malayan Colleges Mindanao, Davao, Philippines","institution_ids":["https://openalex.org/I2801908056"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5043137162"],"corresponding_institution_ids":["https://openalex.org/I137967721"],"apc_list":null,"apc_paid":null,"fwci":20.898,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.99822674,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9818000197410583,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9818000197410583,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9803000092506409,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9686999917030334,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/artificial-neural-network","display_name":"Artificial neural network","score":0.6505628824234009},{"id":"https://openalex.org/keywords/government","display_name":"Government (linguistics)","score":0.6338849067687988},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.6201809644699097},{"id":"https://openalex.org/keywords/duration","display_name":"Duration (music)","score":0.5753016471862793},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.5137687921524048},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.5117475986480713},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.4887216091156006},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4664447009563446},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4613812565803528},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.43364253640174866},{"id":"https://openalex.org/keywords/public-work","display_name":"Public work","score":0.4117725193500519},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3442500829696655},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.22463762760162354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22433510422706604},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16205522418022156},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10151225328445435},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.09150975942611694}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6505628824234009},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.6338849067687988},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.6201809644699097},{"id":"https://openalex.org/C112758219","wikidata":"https://www.wikidata.org/wiki/Q16038819","display_name":"Duration (music)","level":2,"score":0.5753016471862793},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.5137687921524048},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.5117475986480713},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.4887216091156006},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4664447009563446},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4613812565803528},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.43364253640174866},{"id":"https://openalex.org/C2993465482","wikidata":"https://www.wikidata.org/wiki/Q627364","display_name":"Public work","level":2,"score":0.4117725193500519},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3442500829696655},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.22463762760162354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22433510422706604},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16205522418022156},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10151225328445435},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.09150975942611694},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C3116431","wikidata":"https://www.wikidata.org/wiki/Q31728","display_name":"Public administration","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia220084","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia220084","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA220084","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia220084","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia220084","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA220084","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4291473167.pdf","grobid_xml":"https://content.openalex.org/works/W4291473167.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1547298448","https://openalex.org/W2036030376","https://openalex.org/W2045186954","https://openalex.org/W2354990511","https://openalex.org/W2594470505","https://openalex.org/W2639267644","https://openalex.org/W2736134988","https://openalex.org/W2757786537","https://openalex.org/W2788001476","https://openalex.org/W2888652924","https://openalex.org/W2901914917","https://openalex.org/W2991093485","https://openalex.org/W2992521949","https://openalex.org/W3086242700","https://openalex.org/W3096969616","https://openalex.org/W3137507478","https://openalex.org/W3152752307","https://openalex.org/W3160545905","https://openalex.org/W3208287199","https://openalex.org/W4225978468","https://openalex.org/W4226035565","https://openalex.org/W4226286576","https://openalex.org/W6632721191","https://openalex.org/W6748698236","https://openalex.org/W7055549398"],"related_works":["https://openalex.org/W2610868774","https://openalex.org/W4244900409","https://openalex.org/W2362588090","https://openalex.org/W4399767649","https://openalex.org/W2092994918","https://openalex.org/W3216594821","https://openalex.org/W2390006526","https://openalex.org/W1915333409","https://openalex.org/W2393341384","https://openalex.org/W4363647291"],"abstract_inverted_index":{"The":[0,49,125,189],"development":[1],"of":[2,7,19,31,46,53,96,111,131,183,231],"roads":[3,42,140],"has":[4,36],"been":[5,69],"one":[6,130],"the":[8,34,47,93,109,123,132,142,149,153,157,161,171,181,184,192,209,217,223,240],"nation\u2019s":[9],"most":[10],"essential":[11,17],"infrastructural":[12],"initiatives.":[13],"It":[14,214],"is":[15,129],"an":[16,23],"mode":[18],"transportation":[20],"that":[21,216],"plays":[22],"important":[24],"role":[25],"in":[26,40,43,60,169,229,248],"our":[27],"everyday":[28],"lives.":[29],"Because":[30],"its":[32,200],"importance,":[33],"government":[35,241],"allotted":[37],"large":[38],"budgets":[39],"making":[41],"different":[44],"parts":[45],"country.":[48],"quantity":[50],"and":[51,66,77,101,114,166,205,208,243],"complexity":[52],"road":[54,73,97,106,197,246,250],"construction":[55,74,162,194,247,251],"projects":[56,107,198],"have":[57,68],"substantially":[58],"expanded":[59],"recent":[61],"years.":[62],"Numerous":[63],"novel":[64],"methods":[65],"technology":[67],"developed":[70],"to":[71,90,180,222,239],"facilitate":[72],"budgeting,":[75],"planning,":[76],"decision-making.":[78],"Using":[79],"Artificial":[80],"Neural":[81],"Network":[82],"(ANN),":[83],"this":[84],"study":[85],"constructed":[86],"a":[87,237],"forecasting":[88],"model":[89,176,228,238],"accurately":[91],"anticipate":[92],"future":[94],"costs":[95,252],"improvements.":[98],"Between":[99],"2017":[100],"2020,":[102],"fifty":[103],"(50)":[104],"completed":[105],"from":[108],"Department":[110],"Public":[112],"Works":[113],"Highways":[115],"(DPWH)":[116],"Regional":[117],"Office":[118],"XI":[119,128],"were":[120],"utilized":[121],"by":[122],"researcher.":[124],"DPWH":[126],"RO":[127],"country\u2019s":[133],"largest":[134],"implementing":[135,245],"offices":[136],"for":[137,196,211],"constructing":[138],"public":[139],"catering":[141],"entire":[143],"Davao":[144],"Region.":[145],"This":[146,234],"research":[147,235],"used":[148],"project":[150],"cost":[151],"as":[152],"dependent":[154],"variable":[155],"while":[156],"independent":[158],"variables":[159],"are":[160],"activities\u2019":[163],"revised":[164,202],"duration":[165],"variation":[167,212],"order":[168],"running":[170],"model.":[172,188],"Multiple":[173],"linear":[174,225],"regression":[175,226],"performance":[177,182],"was":[178],"compared":[179],"neural":[185,218],"network":[186,219],"prediction":[187,232],"data":[190],"included":[191],"major":[193],"activities":[195],"with":[199],"corresponding":[201],"duration,":[203],"actual":[204],"planned":[206],"cost,":[207],"reason":[210],"order.":[213],"demonstrates":[215],"models":[220],"outperform":[221],"multiple":[224],"(MLR)":[227],"terms":[230],"accuracy.":[233],"offers":[236],"agencies":[242],"contractors":[244],"predicting":[249],"more":[253],"accurately.":[254]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}