{"id":"https://openalex.org/W1545106967","doi":"https://doi.org/10.1061/(asce)hy.1943-7900.0001062","title":"How Reliable Are ANN, ANFIS, and SVM Techniques for Predicting Longitudinal Dispersion Coefficient in Natural Rivers?","display_name":"How Reliable Are ANN, ANFIS, and SVM Techniques for Predicting Longitudinal Dispersion Coefficient in Natural Rivers?","publication_year":2015,"publication_date":"2015-07-15","ids":{"openalex":"https://openalex.org/W1545106967","doi":"https://doi.org/10.1061/(asce)hy.1943-7900.0001062","mag":"1545106967"},"language":"en","primary_location":{"id":"doi:10.1061/(asce)hy.1943-7900.0001062","doi":"https://doi.org/10.1061/(asce)hy.1943-7900.0001062","is_oa":false,"landing_page_url":"https://doi.org/10.1061/(asce)hy.1943-7900.0001062","pdf_url":null,"source":{"id":"https://openalex.org/S92829914","display_name":"Journal of Hydraulic Engineering","issn_l":"0733-9429","issn":["0733-9429","1943-7900"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-b","jufo-2","norway-2","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Hydraulic Engineering","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5010939918","display_name":"Roohollah Noori","orcid":"https://orcid.org/0000-0002-7463-8563","observed_orcids":["https://orcid.org/0000-0002-7463-8563"]},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Roohollah Noori","raw_affiliation_strings":["Assistant Professor, Dept. of Environmental Engineering, Graduate Faculty of Environment, Univ. of Tehran, 1417853111 Tehran, Iran (corresponding author)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Assistant Professor, Dept. of Environmental Engineering, Graduate Faculty of Environment, Univ. of Tehran, 1417853111 Tehran, Iran (corresponding author)","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086287153","display_name":"Zhiqiang Deng","orcid":"https://orcid.org/0000-0002-9245-2826","observed_orcids":["https://orcid.org/0000-0002-9245-2826"]},"institutions":[{"id":"https://openalex.org/I121820613","display_name":"Louisiana State University","ror":"https://ror.org/05ect4e57","country_code":"US","type":"education","lineage":["https://openalex.org/I121820613"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiqiang Deng","raw_affiliation_strings":["Associate Professor, Dept. of Civil and Environmental Engineering, Louisiana State Univ., Baton Rouge, LA 70803"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Associate Professor, Dept. of Civil and Environmental Engineering, Louisiana State Univ., Baton Rouge, LA 70803","institution_ids":["https://openalex.org/I121820613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067482306","display_name":"Amin Kiaghadi","orcid":"https://orcid.org/0000-0001-9706-6222","observed_orcids":["https://orcid.org/0000-0001-9706-6222"]},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amin Kiaghadi","raw_affiliation_strings":["Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of Houston, Houston, TX 77204"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of Houston, Houston, TX 77204","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045717525","display_name":"Fatemeh Torabi Kachoosangi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Fatemeh Torabi Kachoosangi","raw_affiliation_strings":["Ph.D. Candidate, Dept. of Environmental Engineering, Graduate Faculty of Environment, Univ. of Tehran, 1417853111 Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ph.D. Candidate, Dept. of Environmental Engineering, Graduate Faculty of Environment, Univ. of Tehran, 1417853111 Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.5115,"has_fulltext":false,"cited_by_count":127,"citation_normalized_percentile":{"value":0.98800255,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":"142","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9550999999046326,"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":0.9550999999046326,"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/T10577","display_name":"Hydrology and Sediment Transport Processes","score":0.014600000344216824,"subfield":{"id":"https://openalex.org/subfields/1904","display_name":"Earth-Surface Processes"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11634","display_name":"Water Quality and Pollution Assessment","score":0.007199999876320362,"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/longitudinal-dispersion-coefficient","display_name":"longitudinal dispersion coefficient","score":1.0},{"id":"https://openalex.org/keywords/natural-rivers","display_name":"natural streams","score":0.8650000095367432},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.7689999938011169},{"id":"https://openalex.org/keywords/adaptive-neuro-fuzzy-inference-system","display_name":"adaptive neuro-fuzzy inference system","score":0.9359999895095825},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.925000011920929},{"id":"https://openalex.org/keywords/forecast-uncertainty","display_name":"forecast uncertainty","score":0.7059999704360962},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.8080000281333923},{"id":"https://openalex.org/keywords/gamma-test","display_name":"gamma test","score":0.9430000185966492},{"id":"https://openalex.org/keywords/forward-selection","display_name":"forward selection","score":0.9340000152587891},{"id":"https://openalex.org/keywords/model-reliability","display_name":"model reliability","score":0.5540000200271606}],"concepts":[{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.9119999408721924},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8345043659210205},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7085742354393005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5482478737831116},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5098658800125122},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.505800724029541},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49197694659233093},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.48041465878486633},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.47384244203567505},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.381082147359848},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.37710869312286377},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.18275246024131775},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1061/(asce)hy.1943-7900.0001062","doi":"https://doi.org/10.1061/(asce)hy.1943-7900.0001062","is_oa":false,"landing_page_url":"https://doi.org/10.1061/(asce)hy.1943-7900.0001062","pdf_url":null,"source":{"id":"https://openalex.org/S92829914","display_name":"Journal of Hydraulic Engineering","issn_l":"0733-9429","issn":["0733-9429","1943-7900"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-b","jufo-2","norway-2","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Hydraulic Engineering","raw_type":"journal-article"},{"id":"pmh:oai:repository.lsu.edu:civil_engineering_pubs-1613","doi":null,"is_oa":false,"landing_page_url":"https://repository.lsu.edu/civil_engineering_pubs/613","pdf_url":null,"source":{"id":"https://openalex.org/S4210169993","display_name":"Civil War Book Review","issn_l":"1528-6592","issn":["1528-6592"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310315936","host_organization_name":"Louisiana State University","host_organization_lineage":["https://openalex.org/P4310315936"],"host_organization_lineage_names":["Louisiana State University"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty Publications","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6618000268936157,"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1497734931","https://openalex.org/W1503196035","https://openalex.org/W1572497663","https://openalex.org/W1574079794","https://openalex.org/W1885986375","https://openalex.org/W1889156778","https://openalex.org/W1933662307","https://openalex.org/W1971285467","https://openalex.org/W1973676661","https://openalex.org/W1975934790","https://openalex.org/W1982046549","https://openalex.org/W1986248008","https://openalex.org/W1991577169","https://openalex.org/W1998847920","https://openalex.org/W2001063743","https://openalex.org/W2003346696","https://openalex.org/W2003895750","https://openalex.org/W2017527151","https://openalex.org/W2017587036","https://openalex.org/W2019207321","https://openalex.org/W2027130724","https://openalex.org/W2031998728","https://openalex.org/W2034159055","https://openalex.org/W2035691333","https://openalex.org/W2038128936","https://openalex.org/W2047215889","https://openalex.org/W2052589403","https://openalex.org/W2056242830","https://openalex.org/W2056656981","https://openalex.org/W2061604990","https://openalex.org/W2086220627","https://openalex.org/W2089011469","https://openalex.org/W2091344423","https://openalex.org/W2092366016","https://openalex.org/W2099081432","https://openalex.org/W2099812305","https://openalex.org/W2103302261","https://openalex.org/W2103414828","https://openalex.org/W2113622890","https://openalex.org/W2115934415","https://openalex.org/W2124776405","https://openalex.org/W2128003492","https://openalex.org/W2133532129","https://openalex.org/W2137983211","https://openalex.org/W2146362072","https://openalex.org/W2148603752","https://openalex.org/W2149283797","https://openalex.org/W2150668077","https://openalex.org/W2171247088","https://openalex.org/W2281914646","https://openalex.org/W2292599645","https://openalex.org/W2489822048","https://openalex.org/W2505250655","https://openalex.org/W2897247318"],"related_works":["https://openalex.org/W2031998728","https://openalex.org/W4389261767","https://openalex.org/W2999255505","https://openalex.org/W2167371825","https://openalex.org/W4221092230","https://openalex.org/W3184321499","https://openalex.org/W2184148417","https://openalex.org/W2115934415","https://openalex.org/W4280633865","https://openalex.org/W2947746688"],"abstract_inverted_index":{"Determination":[0],"of":[1,33,41,151,168,190],"longitudinal":[2],"dispersion":[3],"coefficient":[4],"(LDC)":[5],"using":[6,77],"artificial":[7,47],"intelligence":[8],"(AI)":[9],"techniques":[10],"can":[11],"improve":[12],"environmental":[13],"management":[14],"strategies":[15],"for":[16,61,166,204,241],"river":[17],"systems.":[18],"However,":[19],"the":[20,39,46,63,110,117,146,154,178,188,213,225,228,236,243,254],"uncertainty":[21,202,209,226],"involved":[22],"in":[23,65,109,212,227,235,245],"AI":[24],"models":[25,195,214,240],"has":[26],"rarely":[27],"been":[28],"reported.":[29],"The":[30,170,248],"main":[31],"objective":[32],"this":[34],"paper":[35],"was":[36,128,158,196,210,221,231],"to":[37,94,99,115,145],"investigate":[38],"reliability":[40,189],"three":[42],"AI-based":[43],"techniques,":[44],"including":[45],"neural":[48],"network":[49],"(ANN),":[50],"adaptive":[51],"neuro-fuzzy":[52],"inference":[53],"system":[54],"(ANFIS),":[55],"and":[56,80,88,102,124,148,193,198,238],"support":[57],"vector":[58],"machine":[59],"(SVM),":[60],"predicting":[62],"LDC":[64,71,105,205,218,244],"natural":[66,246],"rivers.":[67,247],"To":[68],"that":[69,130,224],"end,":[70],"predictions":[72,112],"were":[73,92,113],"first":[74],"carried":[75],"out":[76],"ANN,":[78,122,191],"ANFIS,":[79,123,192],"SVM":[81,125,194,229],"techniques.":[82],"Then,":[83],"a":[84,139,161],"forward":[85],"selection":[86,164],"(FS)":[87],"gamma":[89],"test":[90],"(GT)":[91],"conducted":[93],"sort":[95],"input":[96,163,174],"variables":[97,175],"according":[98],"their":[100],"importance":[101],"effects":[103],"on":[104],"prediction.":[106,206],"Finally,":[107],"uncertainties":[108],"model":[111,131,173,230,250],"analyzed":[114],"answer":[116],"question,":[118],"\u201cHow":[119],"reliable":[120],"are":[121],"techniques?\u201d":[126],"It":[127,220],"found":[129,211,223],"inputs":[132],"could":[133],"not":[134],"be":[135],"satisfactorily":[136],"sorted":[137],"by":[138,200],"linear":[140],"method":[141,165],"(i.e.,":[142],"FS)":[143],"due":[144],"complex":[147],"nonlinear":[149,155],"nature":[150],"LDC.":[152,169],"Thus,":[153],"GT":[156,179],"technique":[157,180],"chosen":[159],"as":[160],"suitable":[162],"prediction":[167],"results":[171],"or":[172],"selected":[176],"from":[177],"showed":[181],"good":[182],"consistency":[183],"with":[184],"previous":[185],"researches.":[186],"Furthermore,":[187],"calculated":[197],"tabulated":[199],"an":[201],"estimation":[203],"A":[207],"high":[208],"although":[215],"they":[216],"predicted":[217],"appropriately.":[219],"also":[222],"less":[232],"than":[233,253],"those":[234],"ANN":[237,255],"ANFIS":[239,249],"estimating":[242],"performs":[251],"better":[252],"model.":[256]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":22},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":17},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":19},{"year":2016,"cited_by_count":18},{"year":2015,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2016-06-24T00:00:00"}
