{"id":"https://openalex.org/W2589687845","doi":"https://doi.org/10.1007/s00521-017-2917-8","title":"Modeling daily dissolved oxygen concentration using modified response surface method and artificial neural network: a comparative study","display_name":"Modeling daily dissolved oxygen concentration using modified response surface method and artificial neural network: a comparative study","publication_year":2017,"publication_date":"2017-02-24","ids":{"openalex":"https://openalex.org/W2589687845","doi":"https://doi.org/10.1007/s00521-017-2917-8","mag":"2589687845"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-017-2917-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-017-2917-8","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","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/A5049427526","display_name":"Behrooz Keshtegar","orcid":"https://orcid.org/0000-0002-7183-1819"},"institutions":[{"id":"https://openalex.org/I112450260","display_name":"Zabol University","ror":"https://ror.org/03d9mz263","country_code":"IR","type":"education","lineage":["https://openalex.org/I112450260"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Behrooz Keshtegar","raw_affiliation_strings":["Department of Civil Engineering, Faculty of Engineering, University of Zabol, P.B. 9861335856, Zabol, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Faculty of Engineering, University of Zabol, P.B. 9861335856, Zabol, Iran","institution_ids":["https://openalex.org/I112450260"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001907851","display_name":"Salim Heddam","orcid":"https://orcid.org/0000-0002-8055-8463"},"institutions":[{"id":"https://openalex.org/I98962006","display_name":"University of Skikda","ror":"https://ror.org/02571vj15","country_code":"DZ","type":"education","lineage":["https://openalex.org/I98962006"]}],"countries":["DZ"],"is_corresponding":true,"raw_author_name":"Salim Heddam","raw_affiliation_strings":["Hydraulics Division, Agronomy Department, Faculty of Science, University 20 Ao\u00fbt 1955, BP 26, Route El Hadaik, Skikda, Algeria"],"affiliations":[{"raw_affiliation_string":"Hydraulics Division, Agronomy Department, Faculty of Science, University 20 Ao\u00fbt 1955, BP 26, Route El Hadaik, Skikda, Algeria","institution_ids":["https://openalex.org/I98962006"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5001907851"],"corresponding_institution_ids":["https://openalex.org/I98962006"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":6.2935,"has_fulltext":false,"cited_by_count":89,"citation_normalized_percentile":{"value":0.97222526,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"30","issue":"10","first_page":"2995","last_page":"3006"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9993000030517578,"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":0.9993000030517578,"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/T10320","display_name":"Neural Networks and Applications","score":0.991100013256073,"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.977400004863739,"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/mean-squared-error","display_name":"Mean squared error","score":0.6992511749267578},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.672107458114624},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.6715117692947388},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5570079684257507},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4694273769855499},{"id":"https://openalex.org/keywords/nonlinear-regression","display_name":"Nonlinear regression","score":0.4690561592578888},{"id":"https://openalex.org/keywords/coefficient-of-determination","display_name":"Coefficient of determination","score":0.44235560297966003},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4386386573314667},{"id":"https://openalex.org/keywords/approximation-error","display_name":"Approximation error","score":0.43817681074142456},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.4286614954471588},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3865698575973511},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3674575686454773},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.2800203561782837},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17168426513671875}],"concepts":[{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6992511749267578},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.672107458114624},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.6715117692947388},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5570079684257507},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4694273769855499},{"id":"https://openalex.org/C46889948","wikidata":"https://www.wikidata.org/wiki/Q2755024","display_name":"Nonlinear regression","level":3,"score":0.4690561592578888},{"id":"https://openalex.org/C128990827","wikidata":"https://www.wikidata.org/wiki/Q192830","display_name":"Coefficient of determination","level":2,"score":0.44235560297966003},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4386386573314667},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.43817681074142456},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.4286614954471588},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3865698575973511},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3674575686454773},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.2800203561782837},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17168426513671875},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00521-017-2917-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-017-2917-8","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","score":0.7200000286102295,"display_name":"Clean water and sanitation"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W335820113","https://openalex.org/W1568560596","https://openalex.org/W1966106636","https://openalex.org/W1966813174","https://openalex.org/W1975844772","https://openalex.org/W1977479256","https://openalex.org/W1983373379","https://openalex.org/W1987464754","https://openalex.org/W1988115241","https://openalex.org/W1988389917","https://openalex.org/W2009088104","https://openalex.org/W2012343016","https://openalex.org/W2020656512","https://openalex.org/W2022044805","https://openalex.org/W2029748544","https://openalex.org/W2034094676","https://openalex.org/W2045179876","https://openalex.org/W2058815839","https://openalex.org/W2059779200","https://openalex.org/W2060062217","https://openalex.org/W2062861257","https://openalex.org/W2065902166","https://openalex.org/W2075153278","https://openalex.org/W2080901700","https://openalex.org/W2090612963","https://openalex.org/W2092781360","https://openalex.org/W2114040154","https://openalex.org/W2124776405","https://openalex.org/W2131577188","https://openalex.org/W2136245100","https://openalex.org/W2137983211","https://openalex.org/W2139482802","https://openalex.org/W2139683263","https://openalex.org/W2142230249","https://openalex.org/W2142635246","https://openalex.org/W2229973520","https://openalex.org/W2237440835","https://openalex.org/W2257390468","https://openalex.org/W2329857398","https://openalex.org/W2332474383","https://openalex.org/W2418448134","https://openalex.org/W2419464021","https://openalex.org/W2429948132","https://openalex.org/W2470259628","https://openalex.org/W2506473059","https://openalex.org/W2508215302","https://openalex.org/W2524584722","https://openalex.org/W2534571818","https://openalex.org/W2534881324","https://openalex.org/W2565982626","https://openalex.org/W3146803896"],"related_works":["https://openalex.org/W4387072315","https://openalex.org/W4322009192","https://openalex.org/W4320483926","https://openalex.org/W2364784002","https://openalex.org/W2755828367","https://openalex.org/W4383721055","https://openalex.org/W2180861079","https://openalex.org/W2559793074","https://openalex.org/W2909099826","https://openalex.org/W2659933339"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":5}],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2025-10-10T00:00:00"}