{"id":"https://openalex.org/W3088573457","doi":"https://doi.org/10.1109/dsmp47368.2020.9204332","title":"New Approaches in the Learning of Complex-Valued Neural Networks","display_name":"New Approaches in the Learning of Complex-Valued Neural Networks","publication_year":2020,"publication_date":"2020-08-01","ids":{"openalex":"https://openalex.org/W3088573457","doi":"https://doi.org/10.1109/dsmp47368.2020.9204332","mag":"3088573457"},"language":"en","primary_location":{"id":"doi:10.1109/dsmp47368.2020.9204332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsmp47368.2020.9204332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP)","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/A5058624346","display_name":"Vladyslav Kotsovsky","orcid":"https://orcid.org/0000-0002-7045-7933"},"institutions":[{"id":"https://openalex.org/I77443782","display_name":"Uzhhorod National University","ror":"https://ror.org/01x3jjv63","country_code":"UA","type":"education","lineage":["https://openalex.org/I77443782"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Vladyslav Kotsovsky","raw_affiliation_strings":["Department of Information Management Systems and Technologies, Uzhhorod National University, Uzhhorod, Ukraine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Management Systems and Technologies, Uzhhorod National University, Uzhhorod, Ukraine","institution_ids":["https://openalex.org/I77443782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046461858","display_name":"Anatoliy Batyuk","orcid":"https://orcid.org/0000-0001-7650-7383"},"institutions":[{"id":"https://openalex.org/I98435010","display_name":"Lviv Polytechnic National University","ror":"https://ror.org/0542q3127","country_code":"UA","type":"education","lineage":["https://openalex.org/I98435010"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Anatoliy Batyuk","raw_affiliation_strings":["Department of Automated Control Systems, Lviv Polytechnic National University, Lviv, Ukraine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automated Control Systems, Lviv Polytechnic National University, Lviv, Ukraine","institution_ids":["https://openalex.org/I98435010"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052611760","display_name":"Maksym Yurchenko","orcid":null},"institutions":[{"id":"https://openalex.org/I77443782","display_name":"Uzhhorod National University","ror":"https://ror.org/01x3jjv63","country_code":"UA","type":"education","lineage":["https://openalex.org/I77443782"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Maksym Yurchenko","raw_affiliation_strings":["Department of Information Management Systems and Technologies, Uzhhorod National University, Uzhhorod, Ukraine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Management Systems and Technologies, Uzhhorod National University, Uzhhorod, Ukraine","institution_ids":["https://openalex.org/I77443782"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7603,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.88236145,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"50","last_page":"54"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9980000257492065,"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":0.9980000257492065,"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/T14470","display_name":"Advanced Data Processing Techniques","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T13093","display_name":"Electric Power Systems and Control","score":0.9771000146865845,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/activation-function","display_name":"Activation function","score":0.8123814463615417},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7376757860183716},{"id":"https://openalex.org/keywords/sigmoid-function","display_name":"Sigmoid function","score":0.7312731742858887},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.715770423412323},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.69173264503479},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6239277124404907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5526978969573975},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.540267825126648},{"id":"https://openalex.org/keywords/transfer-function","display_name":"Transfer function","score":0.46746066212654114},{"id":"https://openalex.org/keywords/types-of-artificial-neural-networks","display_name":"Types of artificial neural networks","score":0.42343777418136597},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37221524119377136},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.2693030834197998},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1992713212966919}],"concepts":[{"id":"https://openalex.org/C38365724","wikidata":"https://www.wikidata.org/wiki/Q4677469","display_name":"Activation function","level":3,"score":0.8123814463615417},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7376757860183716},{"id":"https://openalex.org/C81388566","wikidata":"https://www.wikidata.org/wiki/Q526668","display_name":"Sigmoid function","level":3,"score":0.7312731742858887},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.715770423412323},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.69173264503479},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6239277124404907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5526978969573975},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.540267825126648},{"id":"https://openalex.org/C81299745","wikidata":"https://www.wikidata.org/wiki/Q334269","display_name":"Transfer function","level":2,"score":0.46746066212654114},{"id":"https://openalex.org/C177973122","wikidata":"https://www.wikidata.org/wiki/Q7860946","display_name":"Types of artificial neural networks","level":4,"score":0.42343777418136597},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37221524119377136},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.2693030834197998},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1992713212966919},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsmp47368.2020.9204332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsmp47368.2020.9204332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP)","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":26,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1528288284","https://openalex.org/W1569512666","https://openalex.org/W1585539754","https://openalex.org/W1677182931","https://openalex.org/W2002020414","https://openalex.org/W2047515252","https://openalex.org/W2048446345","https://openalex.org/W2058399474","https://openalex.org/W2135858797","https://openalex.org/W2159071216","https://openalex.org/W2401890017","https://openalex.org/W2768748882","https://openalex.org/W2768884853","https://openalex.org/W2799937793","https://openalex.org/W2809927025","https://openalex.org/W2895732766","https://openalex.org/W2901263055","https://openalex.org/W2920382677","https://openalex.org/W2963578277","https://openalex.org/W2964121744","https://openalex.org/W2989694606","https://openalex.org/W2991209033","https://openalex.org/W3015139045","https://openalex.org/W6631190155","https://openalex.org/W6713068706"],"related_works":["https://openalex.org/W2032258609","https://openalex.org/W3024979424","https://openalex.org/W4283785902","https://openalex.org/W3032499992","https://openalex.org/W2041004593","https://openalex.org/W3134817226","https://openalex.org/W2895192346","https://openalex.org/W3110577345","https://openalex.org/W3136579697","https://openalex.org/W2244330272"],"abstract_inverted_index":{"We":[0,24],"consider":[1],"neural":[2,116,151],"networks":[3,117],"with":[4],"complex":[5,12,33,93,134],"weights":[6],"and":[7,39,84,140],"continuous":[8],"activation":[9,29,42,138],"functions.":[10,68],"The":[11,52,69,111,124],"generalization":[13],"of":[14,28,35,46,58,66,95,100,108,113,133,136,149],"the":[15,22,32,36,40,44,56,64,82,87,92,96,101,106,128,131,147],"backpropagation":[16],"learning":[17],"algorithm":[18],"is":[19,54,71,121],"studied":[20],"in":[21],"paper.":[23],"introduce":[25],"new":[26],"kinds":[27],"functions,":[30],"namely,":[31],"modifications":[34],"rational":[37],"sigmoid":[38],"ReLU":[41],"function,":[43],"use":[45,91],"which":[47],"has":[48],"two":[49],"main":[50],"benefits.":[51],"first":[53],"that":[55,72,130],"application":[57,107],"these":[59],"functions":[60,139],"allows":[61],"to":[62,76,80,85],"avoid":[63],"splitting":[65],"transfer":[67],"second":[70],"they":[73],"are":[74],"fast":[75],"compute.":[77],"In":[78],"order":[79],"improve":[81],"performance":[83],"increase":[86],"training":[88,148],"speed":[89,145],"we":[90],"version":[94,135],"modern":[97],"optimizers":[98],"instead":[99],"classical":[102],"techniques":[103],"based":[104],"on":[105],"gradient":[109],"descent.":[110],"design":[112],"a":[114],"complex-weighted":[115],"for":[118],"multiclass":[119],"classification":[120],"also":[122],"treated.":[123],"simulation":[125],"results":[126],"confirm":[127],"assumption":[129],"combination":[132],"ReLU-like":[137],"Adam":[141],"optimizer":[142],"can":[143],"considerably":[144],"up":[146],"complex-valued":[150],"networks.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}