{"id":"https://openalex.org/W3094447100","doi":"https://doi.org/10.1109/ewdts50664.2020.9225034","title":"An Accuracy Improvement of the Neuromorphic Functional Models by Using the Parallel ANN Architecture","display_name":"An Accuracy Improvement of the Neuromorphic Functional Models by Using the Parallel ANN Architecture","publication_year":2020,"publication_date":"2020-09-01","ids":{"openalex":"https://openalex.org/W3094447100","doi":"https://doi.org/10.1109/ewdts50664.2020.9225034","mag":"3094447100"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ewdts50664.2020.9225034","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5019089975","display_name":"Sergey Mosin","orcid":"https://orcid.org/0000-0003-1389-2602"},"institutions":[{"id":"https://openalex.org/I21203515","display_name":"Kazan Federal University","ror":"https://ror.org/05256ym39","country_code":"RU","type":"funder","lineage":["https://openalex.org/I21203515"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Sergey Mosin","raw_affiliation_strings":["Institute of Computational Mathematics and Information Technologies, Kazan Federal University (KFU), Kazan, Russian Federation"],"affiliations":[{"raw_affiliation_string":"Institute of Computational Mathematics and Information Technologies, Kazan Federal University (KFU), Kazan, Russian Federation","institution_ids":["https://openalex.org/I21203515"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5019089975"],"corresponding_institution_ids":["https://openalex.org/I21203515"],"apc_list":null,"apc_paid":null,"fwci":0.075,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.211801,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":60,"max":69},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9967,"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":0.9967,"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/T14420","display_name":"Advanced Research in Systems and Signal Processing","score":0.9799,"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":0.965,"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/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.8052257},{"id":"https://openalex.org/keywords/electronic-design-automation","display_name":"Electronic design automation","score":0.46721473},{"id":"https://openalex.org/keywords/rectifier","display_name":"Rectifier (neural networks)","score":0.46085683}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.8052257},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7668641},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5864308},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.5022011},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.494688},{"id":"https://openalex.org/C64260653","wikidata":"https://www.wikidata.org/wiki/Q1194864","display_name":"Electronic design automation","level":2,"score":0.46721473},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.4625935},{"id":"https://openalex.org/C50100734","wikidata":"https://www.wikidata.org/wiki/Q7303176","display_name":"Rectifier (neural networks)","level":5,"score":0.46085683},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4240691},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4184994},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.41146094},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3730049},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.26225412},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12970883},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.120940864},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C86582703","wikidata":"https://www.wikidata.org/wiki/Q7617824","display_name":"Stochastic neural network","level":4,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ewdts50664.2020.9225034","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.5}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":23,"referenced_works":["https://openalex.org/W1579573640","https://openalex.org/W1969278872","https://openalex.org/W2031937298","https://openalex.org/W2478558970","https://openalex.org/W2496519511","https://openalex.org/W2570349834","https://openalex.org/W2624638428","https://openalex.org/W2768206878","https://openalex.org/W2799351236","https://openalex.org/W2804576347","https://openalex.org/W2901551948","https://openalex.org/W2907377519","https://openalex.org/W2922489058","https://openalex.org/W2937914378","https://openalex.org/W2951108238","https://openalex.org/W2975382848","https://openalex.org/W2976637795","https://openalex.org/W2982679155","https://openalex.org/W2982684380","https://openalex.org/W2989144268","https://openalex.org/W2990224914","https://openalex.org/W2997165591","https://openalex.org/W3008747420"],"related_works":["https://openalex.org/W4389237622","https://openalex.org/W4385753159","https://openalex.org/W4318224782","https://openalex.org/W4313341368","https://openalex.org/W3214257365","https://openalex.org/W3108691306","https://openalex.org/W3097018712","https://openalex.org/W2986579802","https://openalex.org/W2166309310","https://openalex.org/W2066877376"],"abstract_inverted_index":{"Enhancement":[0],"of":[1,13,51,70,78,103,110,126,137],"the":[2,30,41,53,71,76,85,90,104,117,127,138],"up-to-date":[3],"computing":[4],"systems":[5],"in":[6,29],"performance":[7],"and":[8,17,44,61,88,116,130],"memory":[9],"capacity":[10],"stimulates":[11],"development":[12],"new":[14],"mathematical":[15,35],"models":[16,56],"methods":[18,24],"for":[19,58,80,113],"numerical":[20],"simulation.":[21],"Machine":[22],"learning":[23],"are":[25,37,121],"widely":[26],"used":[27],"nowadays":[28],"electronic":[31],"design":[32,42],"automation.":[33],"New":[34],"entities":[36],"focused":[38],"onto":[39],"increasing":[40,125],"quality":[43],"reducing":[45],"a":[46],"time":[47],"cost.":[48],"A":[49],"method":[50],"constructing":[52],"neuromorphic":[54],"functional":[55,62],"(NFM)":[57],"analog":[59],"components":[60],"blocks":[63],"is":[64,97,106],"proposed.":[65],"An":[66],"approach":[67],"to":[68,84],"improvement":[69],"NFM":[72,105,129],"accuracy":[73,124],"by":[74],"partitioning":[75],"domain":[77],"definition":[79],"output":[81],"characteristics":[82],"according":[83],"threshold":[86],"coefficient":[87],"using":[89],"parallel":[91],"artificial":[92],"neural":[93],"network":[94],"(ANN)":[95],"architecture":[96],"offered.":[98],"The":[99,108,123],"automated":[100],"synthesis":[101],"route":[102],"represented.":[107],"results":[109,133],"experimental":[111],"study":[112],"semiconductor":[114],"diode":[115],"voltage":[118],"rectifier":[119],"circuit":[120,131],"demonstrated.":[122],"synthesized":[128],"simulation":[132],"shown":[134],"high":[135],"efficiency":[136],"proposed":[139],"method.":[140]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3094447100","counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-04-18T21:53:32.285320","created_date":"2020-10-29"}