{"id":"https://openalex.org/W2609291168","doi":"https://doi.org/10.4018/ijdsst.2017070104","title":"An Adaptive Neural Network for the Cost Estimation of E-Learning Projects in the United Kingdom","display_name":"An Adaptive Neural Network for the Cost Estimation of E-Learning Projects in the United Kingdom","publication_year":2017,"publication_date":"2017-04-28","ids":{"openalex":"https://openalex.org/W2609291168","doi":"https://doi.org/10.4018/ijdsst.2017070104","mag":"2609291168"},"language":"en","primary_location":{"id":"doi:10.4018/ijdsst.2017070104","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijdsst.2017070104","pdf_url":null,"source":{"id":"https://openalex.org/S204805982","display_name":"International Journal of Decision Support System Technology","issn_l":"1941-6296","issn":["1941-6296","1941-630X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Decision Support System Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5002975610","display_name":"Raul Valverde","orcid":"https://orcid.org/0000-0002-8769-4927"},"institutions":[{"id":"https://openalex.org/I4210163111","display_name":"Consejo Nacional de Humanidades, Ciencias y Tecnolog\u00edas","ror":"https://ror.org/059ex5q34","country_code":"MX","type":"funder","lineage":["https://openalex.org/I4210163111"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Raul Valverde","raw_affiliation_strings":["Consejo Nacional de Acreditaci\u00f3n en Inform\u00e1tica y. Computaci\u00f3n, A.C., Mexico City, Mexico"],"affiliations":[{"raw_affiliation_string":"Consejo Nacional de Acreditaci\u00f3n en Inform\u00e1tica y. Computaci\u00f3n, A.C., Mexico City, Mexico","institution_ids":["https://openalex.org/I4210163111"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5002975610"],"corresponding_institution_ids":["https://openalex.org/I4210163111"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03732796,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"3","first_page":"54","last_page":"71"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8806999921798706,"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":0.8806999921798706,"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/T12734","display_name":"Information Systems and Technology Applications","score":0.8331000208854675,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.8116999864578247,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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":0.7033393383026123},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5788155794143677},{"id":"https://openalex.org/keywords/judgement","display_name":"Judgement","score":0.5304324626922607},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5021166801452637},{"id":"https://openalex.org/keywords/cost-estimate","display_name":"Cost estimate","score":0.49145495891571045},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.48906999826431274},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43929558992385864},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.38719332218170166},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.19428643584251404},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.14985111355781555},{"id":"https://openalex.org/keywords/management","display_name":"Management","score":0.09473937749862671}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7033393383026123},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5788155794143677},{"id":"https://openalex.org/C2776548248","wikidata":"https://www.wikidata.org/wiki/Q12621536","display_name":"Judgement","level":2,"score":0.5304324626922607},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5021166801452637},{"id":"https://openalex.org/C93983250","wikidata":"https://www.wikidata.org/wiki/Q795053","display_name":"Cost estimate","level":2,"score":0.49145495891571045},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.48906999826431274},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43929558992385864},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.38719332218170166},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.19428643584251404},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.14985111355781555},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.09473937749862671},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijdsst.2017070104","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijdsst.2017070104","pdf_url":null,"source":{"id":"https://openalex.org/S204805982","display_name":"International Journal of Decision Support System Technology","issn_l":"1941-6296","issn":["1941-6296","1941-630X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Decision Support System Technology","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jdsst0:v:9:y:2017:i:3:p:54-71","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJDSST.2017070104","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W46849891","https://openalex.org/W603776396","https://openalex.org/W1031349597","https://openalex.org/W1517113043","https://openalex.org/W1528140509","https://openalex.org/W1534624298","https://openalex.org/W1580142630","https://openalex.org/W1663973292","https://openalex.org/W1995341919","https://openalex.org/W2029949252","https://openalex.org/W2037855648","https://openalex.org/W2040870580","https://openalex.org/W2043221155","https://openalex.org/W2072060889","https://openalex.org/W2100263989","https://openalex.org/W2108850116","https://openalex.org/W2114034059","https://openalex.org/W2121394390","https://openalex.org/W2130177671","https://openalex.org/W2137016812","https://openalex.org/W2139357103","https://openalex.org/W2140362372","https://openalex.org/W2143530935","https://openalex.org/W2145482038","https://openalex.org/W2146651617","https://openalex.org/W2170643650","https://openalex.org/W2258178977","https://openalex.org/W2475159885","https://openalex.org/W2726968359","https://openalex.org/W2766736793","https://openalex.org/W3023482661","https://openalex.org/W3207342693","https://openalex.org/W4231678899","https://openalex.org/W4299101042","https://openalex.org/W4300402905","https://openalex.org/W4300806661","https://openalex.org/W4301971222","https://openalex.org/W4322393847","https://openalex.org/W4402461027","https://openalex.org/W6679091276"],"related_works":["https://openalex.org/W4206424612","https://openalex.org/W3196669561","https://openalex.org/W2110481160","https://openalex.org/W2375951064","https://openalex.org/W2782153775","https://openalex.org/W4390863616","https://openalex.org/W1531621365","https://openalex.org/W3196555713","https://openalex.org/W2994086224","https://openalex.org/W4200227359"],"abstract_inverted_index":{"This":[0],"research":[1],"aims":[2],"to":[3,32,55,60,153],"address":[4],"the":[5,14,65,75,97,100,102,114,122,125,151],"problems":[6,77],"of":[7,18,24,41,67,117],"estimating":[8],"e-Learning":[9,26,37,45],"development":[10,27,46],"costs":[11],"particularly":[12],"within":[13],"United":[15],"Kingdom.":[16],"Hundreds":[17],"managers":[19,50],"with":[20,73,81,137,145],"no":[21],"prior":[22,42],"experience":[23,43],"managing":[25],"often":[28],"find":[29],"themselves":[30],"needing":[31],"produce":[33],"cost":[34,62,87,157],"estimations":[35,63,69],"for":[36],"development.":[38],"The":[39],"lack":[40],"in":[44,96],"means":[47],"that":[48,89,112,135,159],"these":[49],"will":[51,70,79],"not":[52],"be":[53,71,142],"able":[54],"apply":[56],"structured":[57],"expert":[58],"judgement":[59],"their":[61],"and":[64,148],"risk":[66],"inaccurate":[68],"high,":[72],"all":[74],"subsequent":[76],"this":[78,91,149],"bring":[80],"it.":[82],"Although":[83],"an":[84,130],"e-learning":[85,104],"project":[86],"model":[88,105,128,134],"serves":[90],"purpose":[92],"has":[93,113],"been":[94],"developed":[95],"past":[98],"by":[99],"author,":[101],"previous":[103],"was":[106],"based":[107],"on":[108],"multi":[109],"regression":[110],"analysis":[111],"great":[115],"limitation":[116],"losing":[118],"its":[119],"relevancy":[120],"as":[121,139],"industry":[123],"changes,":[124],"new":[126,146],"proposed":[127],"uses":[129],"adaptive":[131],"neural":[132],"network":[133],"copes":[136],"changes":[138],"it":[140],"can":[141],"trained":[143],"easily":[144],"data":[147],"allows":[150],"management":[152],"keep":[154],"more":[155],"accurate":[156],"estimates":[158],"reflect":[160],"market":[161],"changes.":[162]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}