{"id":"https://openalex.org/W2083759836","doi":"https://doi.org/10.1109/icdim.2013.6693963","title":"Application of Adaptive Neuro-Fuzzy Inference System for dam inflow prediction using long-range weather forecast","display_name":"Application of Adaptive Neuro-Fuzzy Inference System for dam inflow prediction using long-range weather forecast","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W2083759836","doi":"https://doi.org/10.1109/icdim.2013.6693963","mag":"2083759836"},"language":"en","primary_location":{"id":"doi:10.1109/icdim.2013.6693963","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdim.2013.6693963","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Eighth International Conference on Digital Information Management (ICDIM 2013)","raw_type":"proceedings-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/A5033320961","display_name":"Jehangir Ashraf Awan","orcid":null},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jehangir Ashraf Awan","raw_affiliation_strings":["Department of Civil & Environmental Engineering, Sejong University, Seoul, Republic of Korea","Dept. of Civil & Environ. Eng., Sejong Univ., Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Civil & Environmental Engineering, Sejong University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I28777354"]},{"raw_affiliation_string":"Dept. of Civil & Environ. Eng., Sejong Univ., Seoul, South Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077573759","display_name":"Deg\u2010Hyo Bae","orcid":"https://orcid.org/0000-0002-0429-1154"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Deg-hyo Bae","raw_affiliation_strings":["Department of Civil & Environmental Engineering, Sejong University, Seoul, Republic of Korea","Dept. of Civil & Environ. Eng., Sejong Univ., Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Civil & Environmental Engineering, Sejong University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I28777354"]},{"raw_affiliation_string":"Dept. of Civil & Environ. Eng., Sejong Univ., Seoul, South Korea","institution_ids":["https://openalex.org/I28777354"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5033320961"],"corresponding_institution_ids":["https://openalex.org/I28777354"],"apc_list":null,"apc_paid":null,"fwci":0.5189,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.7028546,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"6","issue":null,"first_page":"247","last_page":"251"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12293","display_name":"Dam Engineering and Safety","score":0.9930999875068665,"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/T10330","display_name":"Hydrology and Watershed Management Studies","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inflow","display_name":"Inflow","score":0.9665929079055786},{"id":"https://openalex.org/keywords/adaptive-neuro-fuzzy-inference-system","display_name":"Adaptive neuro fuzzy inference system","score":0.7737352252006531},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5188475847244263},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.51065593957901},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.485705703496933},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.4286341667175293},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4042779803276062},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.33395448327064514},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.21457761526107788},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20287883281707764},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18709754943847656},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13347476720809937},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1102837324142456}],"concepts":[{"id":"https://openalex.org/C2776132308","wikidata":"https://www.wikidata.org/wiki/Q11070850","display_name":"Inflow","level":2,"score":0.9665929079055786},{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.7737352252006531},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5188475847244263},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.51065593957901},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.485705703496933},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.4286341667175293},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4042779803276062},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.33395448327064514},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.21457761526107788},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20287883281707764},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18709754943847656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13347476720809937},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1102837324142456},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdim.2013.6693963","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdim.2013.6693963","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Eighth International Conference on Digital Information Management (ICDIM 2013)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W482721","https://openalex.org/W1966962211","https://openalex.org/W1984823613","https://openalex.org/W2010364197","https://openalex.org/W2017587036","https://openalex.org/W2019207321","https://openalex.org/W2054987122","https://openalex.org/W2084696946","https://openalex.org/W2089174148","https://openalex.org/W2115766178","https://openalex.org/W2323049472","https://openalex.org/W2614097141","https://openalex.org/W2633139931","https://openalex.org/W3146863510","https://openalex.org/W6641831030","https://openalex.org/W6739414810"],"related_works":["https://openalex.org/W142238503","https://openalex.org/W3095032300","https://openalex.org/W2114654021","https://openalex.org/W2045242506","https://openalex.org/W2263529430","https://openalex.org/W2389800468","https://openalex.org/W2094226075","https://openalex.org/W4390103748","https://openalex.org/W2053845857","https://openalex.org/W2508771297"],"abstract_inverted_index":{"Dam":[0],"inflow":[1,19,25,49,88,110,123,154],"forecast":[2,26,118,135,147],"plays":[3],"an":[4,137],"important":[5],"role":[6],"for":[7,17,46,79,108,119,164],"optimal":[8],"reservoir":[9],"operations.":[10],"There":[11],"are":[12],"several":[13],"techniques":[14],"in":[15,151],"use":[16,143],"dam":[18,24,48,87,109,122,153],"forecast;":[20],"however,":[21],"accurate":[22],"long-range":[23],"is":[27,55,71,84,162],"still":[28],"a":[29,37],"challenging":[30],"task.":[31],"In":[32],"this":[33],"study,":[34],"we":[35,125],"developed":[36],"model":[38,70,83,161],"based":[39],"on":[40],"Adaptive":[41],"Neuro-Fuzzy":[42],"Inference":[43],"System":[44],"(ANFIS)":[45],"monthly":[47,100,133,145],"forecast.":[50,111,155],"The":[51,82,142,156],"subtractive":[52,80],"clustering":[53],"method":[54],"used":[56],"to":[57,127],"find":[58],"optimum":[59],"set":[60],"of":[61,76,96,103,116,121,144,158,168],"fuzzy":[62],"rules.":[63],"To":[64,112],"obtain":[65],"appropriate":[66],"ANFIS":[67],"structure":[68],"the":[69,114,152,159],"tuned":[72],"with":[73,139],"different":[74],"values":[75],"cluster":[77],"radius":[78],"clustering.":[81],"trained":[85],"using":[86],"and":[89,94,99],"weather":[90],"data":[91],"(i.e.":[92],"temperature":[93],"rainfall)":[95],"preceding":[97],"month":[98,105],"normal":[101],"rainfall":[102,117,134,146],"forecasting":[104],"as":[106,136],"input":[107,138],"assess":[113],"significance":[115],"improvement":[120,150],"prediction":[124],"attempted":[126],"incorporate":[128],"Korea":[129],"Meteorological":[130],"Administration":[131],"(KMA)":[132],"other":[140],"parameters.":[141],"showed":[148],"significant":[149],"viability":[157],"proposed":[160],"demonstrated":[163],"3":[165],"major":[166],"dams":[167],"South":[169],"Korea.":[170]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
