{"id":"https://openalex.org/W4393036398","doi":"https://doi.org/10.1109/dese60595.2023.10468804","title":"Artificial Neural Network Model for Forecasting Haditha Reservoir Inflow in the West of Iraq","display_name":"Artificial Neural Network Model for Forecasting Haditha Reservoir Inflow in the West of Iraq","publication_year":2023,"publication_date":"2023-12-18","ids":{"openalex":"https://openalex.org/W4393036398","doi":"https://doi.org/10.1109/dese60595.2023.10468804"},"language":"en","primary_location":{"id":"doi:10.1109/dese60595.2023.10468804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dese60595.2023.10468804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 16th International Conference on Developments in eSystems Engineering (DeSE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101321154","display_name":"Othman Abdulhameed Mahmoud","orcid":null},"institutions":[{"id":"https://openalex.org/I27768575","display_name":"University of Anbar","ror":"https://ror.org/055a6gk50","country_code":"IQ","type":"education","lineage":["https://openalex.org/I27768575"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Othman Abdulhameed Mahmoud","raw_affiliation_strings":["University of Anbar,Dams and Water Resources Engineering,Anbar,Iraq","Dams and Water Resources Engineering, University of Anbar, Anbar, Iraq"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Anbar,Dams and Water Resources Engineering,Anbar,Iraq","institution_ids":["https://openalex.org/I27768575"]},{"raw_affiliation_string":"Dams and Water Resources Engineering, University of Anbar, Anbar, Iraq","institution_ids":["https://openalex.org/I27768575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061804819","display_name":"Sadeq Oleiwi Sulaiman","orcid":"https://orcid.org/0000-0001-6240-5685"},"institutions":[{"id":"https://openalex.org/I27768575","display_name":"University of Anbar","ror":"https://ror.org/055a6gk50","country_code":"IQ","type":"education","lineage":["https://openalex.org/I27768575"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Sadeq Oleiwi Sulaiman","raw_affiliation_strings":["University of Anbar,Dams and Water Resources Engineering,Anbar,Iraq","Dams and Water Resources Engineering, University of Anbar, Anbar, Iraq"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Anbar,Dams and Water Resources Engineering,Anbar,Iraq","institution_ids":["https://openalex.org/I27768575"]},{"raw_affiliation_string":"Dams and Water Resources Engineering, University of Anbar, Anbar, Iraq","institution_ids":["https://openalex.org/I27768575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083103834","display_name":"Dhiya Al\u2010Jumeily","orcid":"https://orcid.org/0000-0002-9170-0568"},"institutions":[{"id":"https://openalex.org/I63098007","display_name":"Liverpool John Moores University","ror":"https://ror.org/04zfme737","country_code":"GB","type":"education","lineage":["https://openalex.org/I63098007"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dhiya Al-Jumeily","raw_affiliation_strings":["Liverpool John Moores University,Faculty of Engineering and Technology,Liverpool,British","Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool, British"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Liverpool John Moores University,Faculty of Engineering and Technology,Liverpool,British","institution_ids":["https://openalex.org/I63098007"]},{"raw_affiliation_string":"Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool, British","institution_ids":["https://openalex.org/I63098007"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1208,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.93434702,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"138","last_page":"143"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.8682000041007996,"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":0.8682000041007996,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.8568000197410583,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.8565999865531921,"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/inflow","display_name":"Inflow","score":0.8625855445861816},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7276756167411804},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43638935685157776},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3496784567832947},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.32639241218566895},{"id":"https://openalex.org/keywords/oceanography","display_name":"Oceanography","score":0.16009768843650818}],"concepts":[{"id":"https://openalex.org/C2776132308","wikidata":"https://www.wikidata.org/wiki/Q11070850","display_name":"Inflow","level":2,"score":0.8625855445861816},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7276756167411804},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43638935685157776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3496784567832947},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.32639241218566895},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.16009768843650818}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dese60595.2023.10468804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dese60595.2023.10468804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 16th International Conference on Developments in eSystems Engineering (DeSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2009203913","https://openalex.org/W2152236704","https://openalex.org/W2918107102","https://openalex.org/W2964876187","https://openalex.org/W2978145925","https://openalex.org/W3175997442","https://openalex.org/W3183848362","https://openalex.org/W3211549027","https://openalex.org/W4221121705","https://openalex.org/W4224930878","https://openalex.org/W4252823428","https://openalex.org/W4281635961","https://openalex.org/W4323286481","https://openalex.org/W4385754416"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W142238503","https://openalex.org/W3095032300","https://openalex.org/W2045242506","https://openalex.org/W2094226075","https://openalex.org/W2053845857","https://openalex.org/W2508771297","https://openalex.org/W2333276359","https://openalex.org/W2937988369","https://openalex.org/W4311162148"],"abstract_inverted_index":{"Water":[0],"resources":[1,61],"such":[2,12,34],"as":[3,13,35],"rivers":[4],"and":[5,16,44,68,78,87,93,135,146,190,197,207,218,244],"reservoirs":[6],"are":[7],"affected":[8],"by":[9],"multiple":[10],"factors":[11],"climate":[14],"change":[15],"rainfall":[17],"patterns.":[18],"Therefore,":[19],"forecasting":[20,32],"river":[21,46,72],"discharges":[22,73,222],"becomes":[23],"crucial":[24],"for":[25,42,185,192,248],"effective":[26],"water":[27,60,63,75,85,94],"resource":[28,64,76],"management.":[29],"River":[30,113],"discharge":[31,109,150],"techniques,":[33],"artificial":[36,101,227],"neural":[37,102,133,140,161,228],"models,":[38],"provide":[39],"a":[40],"framework":[41],"analyzing":[43],"predicting":[45],"flow":[47],"patterns":[48],"over":[49],"specific":[50],"periods.":[51],"These":[52],"forecasts":[53],"can":[54],"be":[55,241],"used":[56],"to":[57,83,99,105,240],"better":[58,169],"manage":[59],"through":[62],"planning,":[65],"dam":[66],"operation,":[67],"flood":[69],"prevention.":[70],"Forecasting":[71],"improve":[74],"management":[77],"make":[79],"sustainable":[80],"strategic":[81],"decisions":[82],"optimize":[84],"use":[86,100],"reduce":[88],"risks":[89],"associated":[90],"with":[91,164],"floods":[92],"scarcity.":[95],"The":[96,126,142,155,210],"study":[97],"aims":[98],"network":[103,134,162,229],"models":[104,123,143,230],"predict":[106],"the":[107,111,136,159,165,171,177,186,193,198,213,224,242],"daily":[108,149],"of":[110,115,179,183,205,215,226,235],"Euphrates":[112],"upstream":[114],"Haditha":[116],"reservoir":[117],"in":[118],"Anbar":[119],"province.":[120],"Two":[121],"different":[122],"were":[124,144],"used:":[125],"feed-forward":[127],"back":[128],"Propagation":[129],"single":[130,172],"layer":[131,173],"(FFBP)":[132,174,196],"Multilayer":[137,160],"Perceptron":[138],"(MLP)":[139],"network.":[141],"trained":[145],"tested":[147],"using":[148],"time":[151,216,233],"series":[152],"data":[153],"(2018-2023).":[154],"results":[156,211],"showed":[157],"that":[158],"structure":[163],"combination":[166],"(3-12-6-1)":[167],"was":[168],"than":[170],"based":[175],"on":[176,220,223],"coefficient":[178],"determination":[180],"(R2)":[181],"values":[182,199],"0.90":[184],"second":[187],"model":[188,195],"MLP":[189],"0.88":[191],"first":[194],"root":[200],"mean":[201],"square":[202],"error":[203],"(RMSE)":[204],"52.64":[206],"14.97,":[208],"respectively.":[209],"revealed":[212],"effect":[214],"delay":[217,234],"dependence":[219],"previous":[221],"inputs":[225],"(ANNs).":[231],"A":[232],"three":[236],"days":[237],"turned":[238],"out":[239],"best":[243],"provided":[245],"excellent":[246],"performance":[247],"both":[249],"models.":[250]},"counts_by_year":[{"year":2025,"cited_by_count":5}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
