{"id":"https://openalex.org/W3122125628","doi":"https://doi.org/10.1109/csit49958.2020.9322001","title":"Multilayer Radial-basis Function Network and its Learning","display_name":"Multilayer Radial-basis Function Network and its Learning","publication_year":2020,"publication_date":"2020-09-23","ids":{"openalex":"https://openalex.org/W3122125628","doi":"https://doi.org/10.1109/csit49958.2020.9322001","mag":"3122125628"},"language":"en","primary_location":{"id":"doi:10.1109/csit49958.2020.9322001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csit49958.2020.9322001","pdf_url":null,"source":{"id":"https://openalex.org/S4306498651","display_name":"2020 IEEE 15th International Conference on Computer Sciences and Information Technologies (CSIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 15th International Conference on Computer Sciences and Information Technologies (CSIT)","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/A5059642629","display_name":"Yevgeniy Bodyanskiy","orcid":"https://orcid.org/0000-0001-5418-2143"},"institutions":[{"id":"https://openalex.org/I8765205","display_name":"V. N. Karazin Kharkiv National University","ror":"https://ror.org/03ftejk10","country_code":"UA","type":"education","lineage":["https://openalex.org/I8765205"]},{"id":"https://openalex.org/I107158390","display_name":"Kharkiv National University of Radio Electronics","ror":"https://ror.org/01ctj1b90","country_code":"UA","type":"education","lineage":["https://openalex.org/I107158390"]}],"countries":["UA"],"is_corresponding":true,"raw_author_name":"Yevgeniy Bodyanskiy","raw_affiliation_strings":["Department of Artificial Intelligence, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine"],"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine","institution_ids":["https://openalex.org/I8765205","https://openalex.org/I107158390"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010597004","display_name":"Anastasiia Pirus","orcid":null},"institutions":[{"id":"https://openalex.org/I8765205","display_name":"V. N. Karazin Kharkiv National University","ror":"https://ror.org/03ftejk10","country_code":"UA","type":"education","lineage":["https://openalex.org/I8765205"]},{"id":"https://openalex.org/I107158390","display_name":"Kharkiv National University of Radio Electronics","ror":"https://ror.org/01ctj1b90","country_code":"UA","type":"education","lineage":["https://openalex.org/I107158390"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Anastasiia Pirus","raw_affiliation_strings":["Department of Artificial Intelligence, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine"],"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine","institution_ids":["https://openalex.org/I8765205","https://openalex.org/I107158390"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065498819","display_name":"Anastasiia Deineko","orcid":"https://orcid.org/0000-0002-3279-3135"},"institutions":[{"id":"https://openalex.org/I107158390","display_name":"Kharkiv National University of Radio Electronics","ror":"https://ror.org/01ctj1b90","country_code":"UA","type":"education","lineage":["https://openalex.org/I107158390"]},{"id":"https://openalex.org/I8765205","display_name":"V. N. Karazin Kharkiv National University","ror":"https://ror.org/03ftejk10","country_code":"UA","type":"education","lineage":["https://openalex.org/I8765205"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Anastasiia Deineko","raw_affiliation_strings":["Department of Artificial Intelligence, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine"],"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine","institution_ids":["https://openalex.org/I8765205","https://openalex.org/I107158390"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059642629"],"corresponding_institution_ids":["https://openalex.org/I107158390","https://openalex.org/I8765205"],"apc_list":null,"apc_paid":null,"fwci":1.4341,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.85241017,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"92","last_page":"95"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9994000196456909,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.954800009727478,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9373999834060669,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.8750218152999878},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.7828313112258911},{"id":"https://openalex.org/keywords/radial-basis-function-network","display_name":"Radial basis function network","score":0.7701812982559204},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7186958193778992},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6669214367866516},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.5572797060012817},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5197886228561401},{"id":"https://openalex.org/keywords/activation-function","display_name":"Activation function","score":0.5097169280052185},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.487298846244812},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4769657850265503},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.47190481424331665},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4704662263393402},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45010679960250854},{"id":"https://openalex.org/keywords/basis-function","display_name":"Basis function","score":0.44634246826171875},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.42370903491973877},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33141571283340454},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15274396538734436}],"concepts":[{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.8750218152999878},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.7828313112258911},{"id":"https://openalex.org/C132917294","wikidata":"https://www.wikidata.org/wiki/Q2679684","display_name":"Radial basis function network","level":4,"score":0.7701812982559204},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7186958193778992},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6669214367866516},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.5572797060012817},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5197886228561401},{"id":"https://openalex.org/C38365724","wikidata":"https://www.wikidata.org/wiki/Q4677469","display_name":"Activation function","level":3,"score":0.5097169280052185},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.487298846244812},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4769657850265503},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.47190481424331665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4704662263393402},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45010679960250854},{"id":"https://openalex.org/C5917680","wikidata":"https://www.wikidata.org/wiki/Q2621825","display_name":"Basis function","level":2,"score":0.44634246826171875},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.42370903491973877},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33141571283340454},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15274396538734436},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/csit49958.2020.9322001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csit49958.2020.9322001","pdf_url":null,"source":{"id":"https://openalex.org/S4306498651","display_name":"2020 IEEE 15th International Conference on Computer Sciences and Information Technologies (CSIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 15th International Conference on Computer Sciences and Information Technologies (CSIT)","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":14,"referenced_works":["https://openalex.org/W1124005758","https://openalex.org/W2086639994","https://openalex.org/W2106622844","https://openalex.org/W2113442785","https://openalex.org/W2137295153","https://openalex.org/W2171277043","https://openalex.org/W2171886267","https://openalex.org/W2306584730","https://openalex.org/W2789585573","https://openalex.org/W4231980566","https://openalex.org/W4285719527","https://openalex.org/W6680505552","https://openalex.org/W6697719160","https://openalex.org/W6730267373"],"related_works":["https://openalex.org/W4230534566","https://openalex.org/W1992876914","https://openalex.org/W2184586959","https://openalex.org/W2105180757","https://openalex.org/W162769146","https://openalex.org/W2162304341","https://openalex.org/W1567195887","https://openalex.org/W157952102","https://openalex.org/W2157934879","https://openalex.org/W960661091"],"abstract_inverted_index":{"The":[0],"radial":[1,37],"basis":[2,38],"function":[3,39,71,127],"(RBF)":[4],"network":[5,40,60,118],"may":[6],"serve":[7],"as":[8,48,69],"a":[9,58],"good":[10],"alternative":[11],"for":[12,53,116],"multilayer":[13,36,117],"perceptron":[14],"(MLP),":[15],"since":[16],"RBFN":[17],"structure":[18],"is":[19,25,95],"much":[20],"easier,":[21],"and":[22,41,83],"learning":[23,109],"speed":[24,107],"faster.":[26],"This":[27],"article":[28],"aims":[29],"to":[30,73],"present":[31],"the":[32,35,42,45,51,55,63,75,79,92,99,106],"architecture":[33],"of":[34,44,50,57,91,98,108],"usage":[43],"backpropagation":[46,114],"algorithm":[47,115],"one":[49],"approaches":[52],"finetuning":[54],"weights":[56],"neural":[59,128],"based":[61],"on":[62],"error":[64,113],"rate.":[65],"Using":[66],"Epanechnikov":[67],"kernels":[68],"activations":[70],"allows":[72,104],"avoid":[74],"undesirable":[76],"phenomena":[77],"during":[78],"tuning":[80,100],"like":[81],"vanishing":[82],"exploiding":[84],"gradient.":[85],"In":[86,111],"addition,":[87],"because":[88],"input":[89],"signal":[90],"last":[93],"layer":[94],"linearly":[96],"depends":[97],"synaptic":[101],"weights,":[102],"this":[103],"optimize":[105],"process.":[110],"result":[112],"was":[119],"proposed,":[120],"whose":[121],"layers":[122],"in":[123],"fact":[124],"are":[125],"radial-basis":[126],"network.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5}],"updated_date":"2025-11-07T23:20:04.922697","created_date":"2025-10-10T00:00:00"}