{"id":"https://openalex.org/W134705860","doi":null,"title":"Neural networks versus parameter-based applications in cost estimating","display_name":"Neural networks versus parameter-based applications in cost estimating","publication_year":1995,"publication_date":"1995-02-01","ids":{"openalex":"https://openalex.org/W134705860","mag":"134705860"},"language":"en","primary_location":{"id":"mag:134705860","doi":null,"is_oa":false,"landing_page_url":"http://www.osti.gov/scitech/biblio/133241","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Cost engineering","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5003837545","display_name":"Jes\u00fas M. de la Garza","orcid":"https://orcid.org/0000-0003-4929-8883","observed_orcids":["https://orcid.org/0000-0003-4929-8883"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jes\u00fas M. de la Garza","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-4929-8883","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5082563190","display_name":"Khalil G. Rouhana","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Khalil G. Rouhana","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.527,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.91017056,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":87,"max":98},"biblio":{"volume":"37","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.51419997215271,"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"}},"topics":[{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.51419997215271,"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/T10320","display_name":"Neural Networks and Applications","score":0.20890000462532043,"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/T10395","display_name":"Construction Project Management and Performance","score":0.19840000569820404,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cost-estimating","display_name":"cost estimating","score":0.953000009059906},{"id":"https://openalex.org/keywords/parametric-estimating","display_name":"parametric estimating","score":0.8519999980926514},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.996999979019165},{"id":"https://openalex.org/keywords/project-cost-estimation","display_name":"project cost estimation","score":0.781000018119812}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7181892395019531},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6866630911827087},{"id":"https://openalex.org/C93983250","wikidata":"https://www.wikidata.org/wiki/Q795053","display_name":"Cost estimate","level":2,"score":0.6453713774681091},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.6069096326828003},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5226514339447021},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.39014381170272827},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3569403290748596},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33706074953079224},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13366016745567322},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1328476369380951},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12645217776298523},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:134705860","doi":null,"is_oa":false,"landing_page_url":"http://www.osti.gov/scitech/biblio/133241","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Cost engineering","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2908031447","https://openalex.org/W23064272","https://openalex.org/W4295669227","https://openalex.org/W298937102","https://openalex.org/W2162428651","https://openalex.org/W6993054556","https://openalex.org/W2089835362","https://openalex.org/W1970276632","https://openalex.org/W2093940093","https://openalex.org/W7099300195"],"abstract_inverted_index":{"Cost":[0],"estimating":[1,37,69,87,133],"is":[2,33],"essentially":[3],"a":[4,15,94,120],"computational":[5,102],"process":[6],"that":[7,123],"attempts":[8],"to":[9,55,86,105,127],"predict":[10],"the":[11,23,30,43,46,49,52,57,80,101,129],"final":[12],"cost":[13,31,72,107],"of":[14,22,48,67,83,90,131],"future":[16],"project,":[17,50],"even":[18],"though":[19],"not":[20],"all":[21],"parameters":[24],"and":[25,51,74,109,134],"conditions":[26],"are":[27,112],"known":[28],"when":[29],"estimate":[32],"prepared.":[34],"In":[35,59],"general,":[36],"methods":[38],"vary":[39],"considerably,":[40],"depending":[41],"upon":[42],"available":[44,54],"information,":[45],"nature":[47],"time":[53],"prepare":[56],"estimate.":[58],"this":[60],"article,":[61],"we":[62,118],"discuss":[63],"some":[64],"recent":[65],"applications":[66],"parametric":[68,132],"in":[70,97],"analyzing":[71],"data":[73,108],"making":[75],"predictions.":[76],"We":[77],"also":[78],"investigate":[79],"potential":[81],"application":[82],"neural":[84,135],"networks":[85],"problems.":[88],"Both":[89],"these":[91],"methodologies":[92],"use":[93],"parameter-based":[95],"approach":[96],"modeling":[98],"cost.":[99],"However,":[100],"techniques":[103],"used":[104,126],"analyze":[106],"produce":[110],"results":[111],"significantly":[113],"different.":[114],"As":[115],"an":[116],"illustration,":[117],"provide":[119],"numerical":[121],"example":[122],"may":[124],"be":[125],"compare":[128],"performance":[130],"networks.":[136],"8":[137],"refs.,":[138],"3":[139,141],"figs.,":[140],"tabs.":[142]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T04:12:42.849631","created_date":"2016-06-24T00:00:00"}