{"id":"https://openalex.org/W2005526465","doi":"https://doi.org/10.1109/iscas.2010.5537102","title":"System-level design of low complexity CVNS feed forward neural network","display_name":"System-level design of low complexity CVNS feed forward neural network","publication_year":2010,"publication_date":"2010-05-01","ids":{"openalex":"https://openalex.org/W2005526465","doi":"https://doi.org/10.1109/iscas.2010.5537102","mag":"2005526465"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2010.5537102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2010.5537102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2010 IEEE International Symposium on Circuits and Systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5042170452","display_name":"Mitra Mirhassani","orcid":"https://orcid.org/0000-0001-8512-6427"},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mitra Mirhassani","raw_affiliation_strings":["Electrical and Computer Engineering Department, University of Windsor, Windsor, Canada","Electrical And Computer Engineering Department, University Of Windsor, Windsor, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, University of Windsor, Windsor, Canada","institution_ids":["https://openalex.org/I74413500"]},{"raw_affiliation_string":"Electrical And Computer Engineering Department, University Of Windsor, Windsor, Canada","institution_ids":["https://openalex.org/I74413500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088940027","display_name":"Babak Zamanlooy","orcid":"https://orcid.org/0000-0001-9608-5229"},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Babak Zamanlooy","raw_affiliation_strings":["Electrical and Computer Engineering Department, University of Windsor, Windsor, Canada","Electrical And Computer Engineering Department, University Of Windsor, Windsor, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, University of Windsor, Windsor, Canada","institution_ids":["https://openalex.org/I74413500"]},{"raw_affiliation_string":"Electrical And Computer Engineering Department, University Of Windsor, Windsor, Canada","institution_ids":["https://openalex.org/I74413500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74413500"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"2578","last_page":"2581"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9986000061035156,"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":0.9986000061035156,"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/T11697","display_name":"Numerical Methods and Algorithms","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/computer-science","display_name":"Computer science","score":0.6317549347877502},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6030867695808411},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5378806591033936},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.4928560256958008},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.46621257066726685},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.4283910393714905},{"id":"https://openalex.org/keywords/multiplexer","display_name":"Multiplexer","score":0.4195197522640228},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34594789147377014},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.2805607318878174},{"id":"https://openalex.org/keywords/multiplexing","display_name":"Multiplexing","score":0.25978052616119385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18339714407920837},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1261899471282959}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6317549347877502},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6030867695808411},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5378806591033936},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.4928560256958008},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.46621257066726685},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.4283910393714905},{"id":"https://openalex.org/C70970002","wikidata":"https://www.wikidata.org/wiki/Q189434","display_name":"Multiplexer","level":3,"score":0.4195197522640228},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34594789147377014},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.2805607318878174},{"id":"https://openalex.org/C19275194","wikidata":"https://www.wikidata.org/wiki/Q222903","display_name":"Multiplexing","level":2,"score":0.25978052616119385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18339714407920837},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1261899471282959},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2010.5537102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2010.5537102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2010 IEEE International Symposium on Circuits and Systems","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":15,"referenced_works":["https://openalex.org/W1852771524","https://openalex.org/W1990505390","https://openalex.org/W2049986605","https://openalex.org/W2106076725","https://openalex.org/W2107808739","https://openalex.org/W2109174029","https://openalex.org/W2110508485","https://openalex.org/W2114027591","https://openalex.org/W2130903561","https://openalex.org/W2134438536","https://openalex.org/W2155339236","https://openalex.org/W2157581401","https://openalex.org/W2167901303","https://openalex.org/W6638854897","https://openalex.org/W6677402015"],"related_works":["https://openalex.org/W4323268213","https://openalex.org/W4242128654","https://openalex.org/W2152549830","https://openalex.org/W1993744883","https://openalex.org/W3197720232","https://openalex.org/W2388387398","https://openalex.org/W3203996584","https://openalex.org/W2010081998","https://openalex.org/W2082549546","https://openalex.org/W3022773140"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,25,53,76,111,142,156,185,196,221,243],"optimally":[3],"set":[4],"up":[5],"and":[6,22,41,70,96,172,179,192,236],"configure":[7],"an":[8,87,182],"analog":[9,63,77,93,99,119,153],"neural":[10,39,149],"network":[11,59,140,159,198,211,217,228,245],"in":[12,74,94,147,161,230],"system-level,":[13],"fundamental":[14],"issues":[15],"such":[16],"as":[17,86,181],"accuracy,":[18],"robustness,":[19],"function":[20,66],"smoothness":[21],"minimality":[23],"has":[24,218],"be":[26,51,109],"considered.":[27],"This":[28,134],"paper":[29],"focuses":[30],"on":[31,190],"choosing":[32],"optimal":[33],"Continuous":[34],"Valued":[35],"Number":[36],"System":[37],"(CVNS)":[38],"networks,":[40],"shows":[42],"using":[43,62,118],"system-level":[44],"analysis":[45],"that":[46,144],"how":[47],"CVNS":[48,80,223],"networks":[49,150],"can":[50,108],"used":[52,85,110,195],"implement":[54],"large":[55],"size":[56],"networks.":[57,78],"The":[58,79,102,215],"is":[60,84,92,174,212],"implemented":[61,151],"non-linear":[64],"activation":[65],"with":[67,121],"more":[68,72],"precision,":[69],"provides":[71],"accuracy":[73,114,203],"comparison":[75],"computation":[81],"system":[82,126],"which":[83],"alternative":[88],"method":[89],"of":[90,115,130,136,163,165,170,204,209,232],"implementation,":[91],"nature":[95],"employs":[97],"digit-level":[98],"modular":[100],"arithmetic.":[101],"information":[103],"redundancy":[104],"among":[105],"the":[106,113,116,125,158,187,205,210,227,244],"digits":[107],"increase":[112],"precision":[117],"circuitry":[120],"arbitrary":[122],"accuracy.":[123],"Moreover,":[124,155],"configuration":[127,169],"take":[128],"advantage":[129],"distributed":[131],"neuron":[132],"properties.":[133],"type":[135],"neurons":[137],"reduce":[138,157],"overall":[139,183,202],"sensitivity":[141,220],"mismatches":[143],"are":[145,177,193],"inherent":[146],"any":[148],"by":[152,239],"circuitries.":[154],"complexity":[160,229],"terms":[162,231],"number":[164],"interconnections,":[166],"a":[167,240],"series":[168],"multiplexer":[171],"demultiplexer":[173],"used.":[175],"Weights":[176],"refreshed":[178],"refined":[180],"approach":[184],"maintain":[186],"weights":[188],"stored":[189],"chip,":[191],"not":[194],"compute":[197],"response.":[199],"To":[200],"study":[201],"system,":[206],"stochastic":[207],"modeling":[208],"carried":[213],"out.":[214],"proposed":[216],"comparable":[219],"other":[222],"Madaline,":[224],"while":[225],"reduces":[226],"reducing":[233],"computing":[234],"units":[235],"interconnections":[237],"proportional":[238,242],"factor":[241],"nodes.":[246]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
