{"id":"https://openalex.org/W2807414627","doi":"https://doi.org/10.1109/access.2018.2836917","title":"Neural Network-Based Uncertainty Quantification: A Survey of Methodologies and Applications","display_name":"Neural Network-Based Uncertainty Quantification: A Survey of Methodologies and Applications","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2807414627","doi":"https://doi.org/10.1109/access.2018.2836917","mag":"2807414627"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2836917","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2836917","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2836917","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063766245","display_name":"H M Dipu Kabir","orcid":"https://orcid.org/0000-0002-3395-1772"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"H. M. Dipu Kabir","raw_affiliation_strings":["Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059557438","display_name":"Abbas Khosravi","orcid":"https://orcid.org/0000-0001-6927-0744"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Abbas Khosravi","raw_affiliation_strings":["Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021955558","display_name":"Mohammad Anwar Hosen","orcid":"https://orcid.org/0000-0001-8282-3198"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mohammad Anwar Hosen","raw_affiliation_strings":["Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015293969","display_name":"Saeid Nahavandi","orcid":"https://orcid.org/0000-0002-0360-5270"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Saeid Nahavandi","raw_affiliation_strings":["Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063766245"],"corresponding_institution_ids":["https://openalex.org/I149704539"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":12.0516,"has_fulltext":false,"cited_by_count":260,"citation_normalized_percentile":{"value":0.9898249,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"6","issue":null,"first_page":"36218","last_page":"36234"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T11059","display_name":"Market Dynamics and Volatility","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9786999821662903,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/uncertainty-quantification","display_name":"Uncertainty quantification","score":0.7212242484092712},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.683720052242279},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5767000317573547},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5604203939437866},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5358554124832153},{"id":"https://openalex.org/keywords/uncertainty-analysis","display_name":"Uncertainty analysis","score":0.44877350330352783},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43977412581443787},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4325862526893616},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4057980179786682},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3896538019180298},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.07928532361984253}],"concepts":[{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.7212242484092712},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.683720052242279},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5767000317573547},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5604203939437866},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5358554124832153},{"id":"https://openalex.org/C177803969","wikidata":"https://www.wikidata.org/wiki/Q29205","display_name":"Uncertainty analysis","level":2,"score":0.44877350330352783},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43977412581443787},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4325862526893616},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4057980179786682},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3896538019180298},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.07928532361984253},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2018.2836917","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2836917","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:publications/85466783-f8fc-4393-8aa5-040a576b7521","is_oa":true,"landing_page_url":"https://researchoutput.csu.edu.au/en/publications/85466783-f8fc-4393-8aa5-040a576b7521","pdf_url":null,"source":{"id":"https://openalex.org/S7407055442","display_name":"Charles Sturt University Research Output (CRO)","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Kabir, H M D, Khosravi, A, Hosen, M A & Nahavandi, S 2018, 'Neural network-based uncertainty quantification : A survey of methodologies and applications', IEEE Access, vol. 6, pp. 36218-36234. https://doi.org/10.1109/ACCESS.2018.2836917","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:doaj.org/article:29a5bd4cd75a4cc9bd22196a49b1336a","is_oa":true,"landing_page_url":"https://doaj.org/article/29a5bd4cd75a4cc9bd22196a49b1336a","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 36218-36234 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2836917","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2836917","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":154,"referenced_works":["https://openalex.org/W148904275","https://openalex.org/W173513606","https://openalex.org/W185455334","https://openalex.org/W245569242","https://openalex.org/W799715740","https://openalex.org/W1175502716","https://openalex.org/W1479638403","https://openalex.org/W1531509753","https://openalex.org/W1560021816","https://openalex.org/W1585404963","https://openalex.org/W1593305440","https://openalex.org/W1597787061","https://openalex.org/W1662267721","https://openalex.org/W1668963720","https://openalex.org/W1711035256","https://openalex.org/W1914155951","https://openalex.org/W1964886660","https://openalex.org/W1966646381","https://openalex.org/W1966873979","https://openalex.org/W1969108904","https://openalex.org/W1970071487","https://openalex.org/W1975883275","https://openalex.org/W1977970167","https://openalex.org/W1982399266","https://openalex.org/W1984536024","https://openalex.org/W1985505861","https://openalex.org/W1985579611","https://openalex.org/W1993247582","https://openalex.org/W1994513282","https://openalex.org/W2002231816","https://openalex.org/W2002331131","https://openalex.org/W2003142643","https://openalex.org/W2013212206","https://openalex.org/W2013872183","https://openalex.org/W2018936073","https://openalex.org/W2019157375","https://openalex.org/W2019858173","https://openalex.org/W2021252908","https://openalex.org/W2024692966","https://openalex.org/W2024786552","https://openalex.org/W2026291429","https://openalex.org/W2027814209","https://openalex.org/W2029486861","https://openalex.org/W2030966943","https://openalex.org/W2032259788","https://openalex.org/W2033252984","https://openalex.org/W2034544282","https://openalex.org/W2035018472","https://openalex.org/W2035174181","https://openalex.org/W2036599383","https://openalex.org/W2037634800","https://openalex.org/W2040298412","https://openalex.org/W2041420198","https://openalex.org/W2044305731","https://openalex.org/W2046483399","https://openalex.org/W2048934352","https://openalex.org/W2050038283","https://openalex.org/W2051362440","https://openalex.org/W2055336003","https://openalex.org/W2055953338","https://openalex.org/W2060621271","https://openalex.org/W2065819625","https://openalex.org/W2065821033","https://openalex.org/W2066035378","https://openalex.org/W2067796266","https://openalex.org/W2068528079","https://openalex.org/W2068928057","https://openalex.org/W2071804189","https://openalex.org/W2072097014","https://openalex.org/W2073873489","https://openalex.org/W2074523082","https://openalex.org/W2076063813","https://openalex.org/W2078301133","https://openalex.org/W2082123537","https://openalex.org/W2085063523","https://openalex.org/W2086174097","https://openalex.org/W2089217930","https://openalex.org/W2095705004","https://openalex.org/W2104978648","https://openalex.org/W2106098710","https://openalex.org/W2106780896","https://openalex.org/W2108114251","https://openalex.org/W2108647521","https://openalex.org/W2109762852","https://openalex.org/W2111021385","https://openalex.org/W2114471530","https://openalex.org/W2115299933","https://openalex.org/W2117897510","https://openalex.org/W2118277375","https://openalex.org/W2124435291","https://openalex.org/W2124776405","https://openalex.org/W2126084135","https://openalex.org/W2129832613","https://openalex.org/W2131839131","https://openalex.org/W2132477882","https://openalex.org/W2135829152","https://openalex.org/W2136009263","https://openalex.org/W2138530279","https://openalex.org/W2140024656","https://openalex.org/W2140641171","https://openalex.org/W2149906128","https://openalex.org/W2151767444","https://openalex.org/W2155816288","https://openalex.org/W2156250920","https://openalex.org/W2156604062","https://openalex.org/W2157496914","https://openalex.org/W2165913288","https://openalex.org/W2171666055","https://openalex.org/W2171847515","https://openalex.org/W2210180846","https://openalex.org/W2232732673","https://openalex.org/W2251195473","https://openalex.org/W2288701971","https://openalex.org/W2323575786","https://openalex.org/W2338710899","https://openalex.org/W2385356575","https://openalex.org/W2392689491","https://openalex.org/W2489605225","https://openalex.org/W2496780187","https://openalex.org/W2548694017","https://openalex.org/W2555546325","https://openalex.org/W2560099312","https://openalex.org/W2567390146","https://openalex.org/W2570112804","https://openalex.org/W2613109841","https://openalex.org/W2626353087","https://openalex.org/W2689813587","https://openalex.org/W2729633178","https://openalex.org/W2735400342","https://openalex.org/W2744288031","https://openalex.org/W2762861296","https://openalex.org/W2767016124","https://openalex.org/W2767736369","https://openalex.org/W2896203251","https://openalex.org/W2963276097","https://openalex.org/W3100789280","https://openalex.org/W3121368692","https://openalex.org/W4231426332","https://openalex.org/W4240921267","https://openalex.org/W4250872170","https://openalex.org/W4254275792","https://openalex.org/W6622938502","https://openalex.org/W6635043462","https://openalex.org/W6635686234","https://openalex.org/W6637241959","https://openalex.org/W6637408931","https://openalex.org/W6674330103","https://openalex.org/W6676576766","https://openalex.org/W6677092830","https://openalex.org/W6688433161","https://openalex.org/W6717230150","https://openalex.org/W6731542509","https://openalex.org/W6731884209","https://openalex.org/W6755765006"],"related_works":["https://openalex.org/W93577605","https://openalex.org/W2057769593","https://openalex.org/W4249135812","https://openalex.org/W4376309286","https://openalex.org/W2116089868","https://openalex.org/W1991803138","https://openalex.org/W3127311823","https://openalex.org/W2001403770","https://openalex.org/W4387046439","https://openalex.org/W2946139404"],"abstract_inverted_index":{"Uncertainty":[0],"quantification":[1,68],"plays":[2],"a":[3],"critical":[4,70],"role":[5],"in":[6,14,30,34,43,56,69,112,134],"the":[7,51,57,135],"process":[8],"of":[9,17,37,50,66,84,97,114,137],"decision":[10],"making":[11],"and":[12,19,42,79,108],"optimization":[13],"many":[15],"fields":[16],"science":[18],"engineering.":[20],"The":[21,82,125],"field":[22,136],"has":[23],"gained":[24],"an":[25,35],"overwhelming":[26],"attention":[27],"among":[28],"researchers":[29],"recent":[31],"years":[32],"resulting":[33],"arsenal":[36],"different":[38,117],"methods.":[39],"Probabilistic":[40],"forecasting":[41],"particular":[44],"prediction":[45,98],"intervals":[46],"(PIs)":[47],"are":[48,105,123],"one":[49],"techniques":[52],"most":[53],"widely":[54],"used":[55],"literature":[58],"for":[59,95,110,119,131],"uncertainty":[60,67,140],"quantification.":[61,141],"Researchers":[62],"have":[63],"reported":[64],"studies":[65],"applications":[71],"such":[72],"as":[73],"medical":[74],"diagnostics,":[75],"bioinformatics,":[76],"renewable":[77],"energies,":[78],"power":[80],"grids.":[81],"purpose":[83],"this":[85],"survey":[86],"paper":[87,126],"is":[88],"to":[89],"comprehensively":[90],"study":[91],"neural":[92,138],"network-based":[93,139],"methods":[94],"construction":[96],"intervals.":[99],"It":[100],"will":[101],"cover":[102],"how":[103],"PIs":[104],"constructed,":[106],"optimized,":[107],"applied":[109],"decision-making":[111],"presence":[113],"uncertainties.":[115],"Also,":[116],"criteria":[118],"unbiased":[120],"PI":[121],"evaluation":[122],"investigated.":[124],"also":[127],"provides":[128],"some":[129],"guidelines":[130],"further":[132],"research":[133]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":40},{"year":2024,"cited_by_count":34},{"year":2023,"cited_by_count":48},{"year":2022,"cited_by_count":39},{"year":2021,"cited_by_count":43},{"year":2020,"cited_by_count":32},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
