{"id":"https://openalex.org/W3142265327","doi":"https://doi.org/10.1109/access.2021.3066499","title":"Radial Basis Function Neural Network Model for Dissolved Oxygen Concentration Prediction Based on an Enhanced Clustering Algorithm and Adam","display_name":"Radial Basis Function Neural Network Model for Dissolved Oxygen Concentration Prediction Based on an Enhanced Clustering Algorithm and Adam","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3142265327","doi":"https://doi.org/10.1109/access.2021.3066499","mag":"3142265327"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3066499","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3066499","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09380433.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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://ieeexplore.ieee.org/ielx7/6287639/9312710/09380433.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103111599","display_name":"Dashe Li","orcid":"https://orcid.org/0000-0003-3792-8964"},"institutions":[{"id":"https://openalex.org/I83776822","display_name":"Shandong Institute of Business and Technology","ror":"https://ror.org/03rrkrc24","country_code":"CN","type":"education","lineage":["https://openalex.org/I83776822"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dashe Li","raw_affiliation_strings":["Co-innovation Center of Shandong Colleges and Universities: Future Intelligent Computing, Yantai, China","School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"Co-innovation Center of Shandong Colleges and Universities: Future Intelligent Computing, Yantai, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China","institution_ids":["https://openalex.org/I83776822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425322","display_name":"Xueying Wang","orcid":"https://orcid.org/0000-0001-7078-2165"},"institutions":[{"id":"https://openalex.org/I83776822","display_name":"Shandong Institute of Business and Technology","ror":"https://ror.org/03rrkrc24","country_code":"CN","type":"education","lineage":["https://openalex.org/I83776822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueying Wang","raw_affiliation_strings":["Co-innovation Center of Shandong Colleges and Universities: Future Intelligent Computing, Yantai, China","School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"Co-innovation Center of Shandong Colleges and Universities: Future Intelligent Computing, Yantai, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China","institution_ids":["https://openalex.org/I83776822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041407824","display_name":"Jiajun Sun","orcid":"https://orcid.org/0000-0001-5529-6660"},"institutions":[{"id":"https://openalex.org/I83776822","display_name":"Shandong Institute of Business and Technology","ror":"https://ror.org/03rrkrc24","country_code":"CN","type":"education","lineage":["https://openalex.org/I83776822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Sun","raw_affiliation_strings":["Co-innovation Center of Shandong Colleges and Universities: Future Intelligent Computing, Yantai, China","School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"Co-innovation Center of Shandong Colleges and Universities: Future Intelligent Computing, Yantai, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China","institution_ids":["https://openalex.org/I83776822"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100932074","display_name":"Yanli Feng","orcid":"https://orcid.org/0000-0002-0276-3939"},"institutions":[{"id":"https://openalex.org/I83776822","display_name":"Shandong Institute of Business and Technology","ror":"https://ror.org/03rrkrc24","country_code":"CN","type":"education","lineage":["https://openalex.org/I83776822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanli Feng","raw_affiliation_strings":["Co-innovation Center of Shandong Colleges and Universities: Future Intelligent Computing, Yantai, China","School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"Co-innovation Center of Shandong Colleges and Universities: Future Intelligent Computing, Yantai, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China","institution_ids":["https://openalex.org/I83776822"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103111599"],"corresponding_institution_ids":["https://openalex.org/I83776822"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.2906,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.77725849,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"9","issue":null,"first_page":"44521","last_page":"44533"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9970999956130981,"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"}},"topics":[{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9970999956130981,"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"}},{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9926999807357788,"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/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.9855999946594238,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing Engineering"},"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/cluster-analysis","display_name":"Cluster analysis","score":0.712602436542511},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.6604483127593994},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.643444836139679},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6115729808807373},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5602688789367676},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5107641220092773},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.42790862917900085},{"id":"https://openalex.org/keywords/radial-basis-function-network","display_name":"Radial basis function network","score":0.4161857068538666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3941986858844757},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3237602114677429},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16631156206130981}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.712602436542511},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.6604483127593994},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.643444836139679},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6115729808807373},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5602688789367676},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5107641220092773},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.42790862917900085},{"id":"https://openalex.org/C132917294","wikidata":"https://www.wikidata.org/wiki/Q2679684","display_name":"Radial basis function network","level":4,"score":0.4161857068538666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3941986858844757},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3237602114677429},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16631156206130981},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3066499","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3066499","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09380433.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ec3d70136a544b1bac81c67188de37de","is_oa":true,"landing_page_url":"https://doaj.org/article/ec3d70136a544b1bac81c67188de37de","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 9, Pp 44521-44533 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3066499","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3066499","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09380433.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.75,"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3142265327.pdf","grobid_xml":"https://content.openalex.org/works/W3142265327.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W787382797","https://openalex.org/W1522301498","https://openalex.org/W2022173539","https://openalex.org/W2047339211","https://openalex.org/W2103096501","https://openalex.org/W2105268089","https://openalex.org/W2156738455","https://openalex.org/W2342766572","https://openalex.org/W2344636305","https://openalex.org/W2373577270","https://openalex.org/W2418448134","https://openalex.org/W2508982891","https://openalex.org/W2514536448","https://openalex.org/W2526196073","https://openalex.org/W2564420333","https://openalex.org/W2594056788","https://openalex.org/W2596628535","https://openalex.org/W2606926586","https://openalex.org/W2729840144","https://openalex.org/W2738574859","https://openalex.org/W2751687058","https://openalex.org/W2753434909","https://openalex.org/W2754051771","https://openalex.org/W2763735106","https://openalex.org/W2770044112","https://openalex.org/W2775874076","https://openalex.org/W2788813591","https://openalex.org/W2795483971","https://openalex.org/W2803263920","https://openalex.org/W2804318406","https://openalex.org/W2804571714","https://openalex.org/W2807600840","https://openalex.org/W2808338577","https://openalex.org/W2810606560","https://openalex.org/W2885195348","https://openalex.org/W2891464443","https://openalex.org/W2891809631","https://openalex.org/W2903590249","https://openalex.org/W2910279921","https://openalex.org/W2915062141","https://openalex.org/W2935877504","https://openalex.org/W2940831316","https://openalex.org/W2944436518","https://openalex.org/W2944465621","https://openalex.org/W2964121744","https://openalex.org/W2970416905","https://openalex.org/W2981593076","https://openalex.org/W2982289639","https://openalex.org/W2990107052","https://openalex.org/W3005747122","https://openalex.org/W3011330593","https://openalex.org/W3043887388","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W4230534566","https://openalex.org/W2105180757","https://openalex.org/W1992876914","https://openalex.org/W2184586959","https://openalex.org/W162769146","https://openalex.org/W2162304341","https://openalex.org/W1567195887","https://openalex.org/W1572661297","https://openalex.org/W2393731464","https://openalex.org/W2374946871"],"abstract_inverted_index":{"In":[0],"fishery":[1,224],"aquaculture,":[2],"water":[3,21],"quality":[4],"directly":[5],"determines":[6],"the":[7,26,77,81,88,96,113,116,123,132,137,144,166,170,174,185,190,199,209,216,219,273,280],"economic":[8],"benefits":[9],"of":[10,28,72,80,90,139,148,206,218],"aquatic":[11],"products,":[12],"and":[13,45,136,194,270,290],"dissolved":[14,31,34,220],"oxygen":[15,35,221],"is":[16,55,68,93,105,129,162,180,213],"an":[17,41,258],"important":[18],"factor":[19],"affecting":[20],"quality.":[22],"To":[23],"accurately":[24],"grasp":[25],"trends":[27],"variation":[29],"in":[30,70,112,223,279],"oxygen,":[32],"a":[33,48,236,242,247,252],"concentration":[36,222],"forecasting":[37,211],"model":[38,297],"based":[39],"on":[40],"enhanced":[42,58],"clustering":[43,59],"algorithm":[44,60,161,179,212,275],"Adam":[46,178],"with":[47,64,235],"radial":[49,124],"basis":[50,125],"function":[51,126,187],"neural":[52,82,97,244,250,268],"network":[53,83,98,245],"(ECA-Adam-RBFNN)":[54],"proposed.":[56],"An":[57],"(ECA)":[61],"combining":[62],"K-means":[63],"ant":[65],"colony":[66],"optimization":[67],"introduced":[69,163,181],"place":[71],"random":[73],"selection":[74],"to":[75,142,164,173,182,188],"determine":[76],"center":[78,91,134,140,191],"positions":[79],"hidden":[84,117,171],"layer":[85,118,172],"units.":[86],"If":[87],"number":[89,138],"points":[92,141],"too":[94,106,152],"high,":[95],"will":[99,110],"be":[100],"overfit,":[101],"whereas":[102],"if":[103],"it":[104],"low,":[107],"sudden":[108],"changes":[109],"appear":[111],"results.":[114],"Once":[115],"centers":[119],"have":[120],"been":[121],"determined,":[122],"(RBF)":[127],"width":[128,195],"calculated":[130],"from":[131,169],"maximum":[133],"distance":[135],"avoid":[143],"two":[145],"extreme":[146],"cases":[147],"RBF":[149,249],"that":[150,230],"are":[151],"peaked":[153],"or":[154],"flat.":[155],"The":[156,177,226],"recursive":[157],"least":[158],"squares":[159],"(RLS)":[160],"obtain":[165],"connection":[167],"weights":[168,193],"output":[175],"layer.":[176],"iteratively":[183],"differentiate":[184],"objective":[186],"adjust":[189],"values,":[192],"while":[196],"adaptively":[197],"varying":[198],"learning":[200],"rates":[201],"for":[202,215],"these":[203],"three":[204],"types":[205],"parameters.":[207],"Finally,":[208],"improved":[210,274],"applied":[214],"prediction":[217],"aquaculture.":[225],"experimental":[227],"results":[228],"show":[229],"under":[231],"identical":[232],"conditions,":[233],"compared":[234],"long":[237],"short-term":[238],"memory":[239],"(LSTM)":[240],"network,":[241,251],"backpropagation":[243],"(BPNN),":[246],"traditional":[248],"support":[253],"vector":[254],"regression":[255],"(SVR)":[256],"model,":[257,272],"autoregressive":[259],"integrated":[260],"moving":[261],"average":[262],"(ARIMA),":[263],"K-MLPNN":[264],"(K-means":[265],"muhilayer":[266],"perceptron":[267],"networks),":[269],"SC-K-means-RBF":[271],"achieves":[276],"significant":[277],"reductions":[278],"mean":[281,285,292],"absolute":[282,286],"error":[283,288,294],"(MAE),":[284],"percentage":[287],"(MAPE)":[289],"root":[291],"square":[293],"(RMSE)":[295],"as":[296],"evaluation":[298],"indicators.":[299]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}
