{"id":"https://openalex.org/W3089462076","doi":"https://doi.org/10.1109/iscas45731.2020.9181152","title":"A Neural Network Approach to Analog Circuit Design Optimization using Nesterov's Accelerated Quasi-Newton Method","display_name":"A Neural Network Approach to Analog Circuit Design Optimization using Nesterov's Accelerated Quasi-Newton Method","publication_year":2020,"publication_date":"2020-09-29","ids":{"openalex":"https://openalex.org/W3089462076","doi":"https://doi.org/10.1109/iscas45731.2020.9181152","mag":"3089462076"},"language":"en","primary_location":{"id":"doi:10.1109/iscas45731.2020.9181152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas45731.2020.9181152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5066734588","display_name":"S. Indrapriyadarsini","orcid":"https://orcid.org/0000-0002-7714-1659"},"institutions":[{"id":"https://openalex.org/I1298590031","display_name":"Shizuoka University","ror":"https://ror.org/01w6wtk13","country_code":"JP","type":"education","lineage":["https://openalex.org/I1298590031"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"S. Indrapriyadarsini","raw_affiliation_strings":["Graduate School of Science and Technology, Shizuoka University, Hamamatsu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Shizuoka University, Hamamatsu, Japan","institution_ids":["https://openalex.org/I1298590031"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018618464","display_name":"Shahrzad Mahboubi","orcid":"https://orcid.org/0000-0002-9577-3721"},"institutions":[{"id":"https://openalex.org/I197425175","display_name":"Shonan Institute of Technology","ror":"https://ror.org/01bawqf59","country_code":"JP","type":"education","lineage":["https://openalex.org/I197425175"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shahrzad Mahboubi","raw_affiliation_strings":["Graduate School of Electrical and Information Engineering, Shonan Institute of Technology, Fujisawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Electrical and Information Engineering, Shonan Institute of Technology, Fujisawa, Japan","institution_ids":["https://openalex.org/I197425175"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101639573","display_name":"Hiroshi Ninomiya","orcid":"https://orcid.org/0000-0003-3418-3178"},"institutions":[{"id":"https://openalex.org/I197425175","display_name":"Shonan Institute of Technology","ror":"https://ror.org/01bawqf59","country_code":"JP","type":"education","lineage":["https://openalex.org/I197425175"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Ninomiya","raw_affiliation_strings":["Graduate School of Electrical and Information Engineering, Shonan Institute of Technology, Fujisawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Electrical and Information Engineering, Shonan Institute of Technology, Fujisawa, Japan","institution_ids":["https://openalex.org/I197425175"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069030165","display_name":"Takeshi Kamio","orcid":"https://orcid.org/0000-0002-7661-0898"},"institutions":[{"id":"https://openalex.org/I57930482","display_name":"Hiroshima City University","ror":"https://ror.org/001et4e78","country_code":"JP","type":"education","lineage":["https://openalex.org/I57930482"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takeshi Kamio","raw_affiliation_strings":["Graduate School of Information Sciences, Hiroshima City University, Hiroshima, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Sciences, Hiroshima City University, Hiroshima, Japan","institution_ids":["https://openalex.org/I57930482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025308851","display_name":"Hideki Asai","orcid":"https://orcid.org/0000-0001-7019-2712"},"institutions":[{"id":"https://openalex.org/I1298590031","display_name":"Shizuoka University","ror":"https://ror.org/01w6wtk13","country_code":"JP","type":"education","lineage":["https://openalex.org/I1298590031"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hideki Asai","raw_affiliation_strings":["Research Institute of Electronics, Shizuoka University, Hamamatsu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of Electronics, Shizuoka University, Hamamatsu, Japan","institution_ids":["https://openalex.org/I1298590031"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0735,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72714803,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11338","display_name":"Advancements in Photolithography Techniques","score":0.9980999827384949,"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"}},"topics":[{"id":"https://openalex.org/T11338","display_name":"Advancements in Photolithography Techniques","score":0.9980999827384949,"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"}},{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9947999715805054,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.7119735479354858},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6709568500518799},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6105784177780151},{"id":"https://openalex.org/keywords/analogue-electronics","display_name":"Analogue electronics","score":0.5891799926757812},{"id":"https://openalex.org/keywords/sizing","display_name":"Sizing","score":0.45935630798339844},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.45833972096443176},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.4293700158596039},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.42468273639678955},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4164830446243286},{"id":"https://openalex.org/keywords/circuit-complexity","display_name":"Circuit complexity","score":0.41279876232147217},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4055478274822235},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3835267424583435},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2650083899497986},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2063174843788147},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1172955334186554},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.11143633723258972}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7119735479354858},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6709568500518799},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6105784177780151},{"id":"https://openalex.org/C29074008","wikidata":"https://www.wikidata.org/wiki/Q174925","display_name":"Analogue electronics","level":3,"score":0.5891799926757812},{"id":"https://openalex.org/C2777767291","wikidata":"https://www.wikidata.org/wiki/Q1080291","display_name":"Sizing","level":2,"score":0.45935630798339844},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.45833972096443176},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.4293700158596039},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.42468273639678955},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4164830446243286},{"id":"https://openalex.org/C90702460","wikidata":"https://www.wikidata.org/wiki/Q1055112","display_name":"Circuit complexity","level":3,"score":0.41279876232147217},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4055478274822235},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3835267424583435},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2650083899497986},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2063174843788147},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1172955334186554},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.11143633723258972},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas45731.2020.9181152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas45731.2020.9181152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2908564467","https://openalex.org/W2920545734","https://openalex.org/W2999155470"],"related_works":["https://openalex.org/W2375311683","https://openalex.org/W2366062860","https://openalex.org/W2373777250","https://openalex.org/W2353956655","https://openalex.org/W108605771","https://openalex.org/W2097465621","https://openalex.org/W2148482302","https://openalex.org/W4240724541","https://openalex.org/W2188379963","https://openalex.org/W1964609106"],"abstract_inverted_index":{"With":[0],"the":[1,23,57,130,147,153,157,164],"rising":[2],"need":[3],"for":[4],"high-performance":[5],"circuits,":[6],"electronic":[7],"design":[8,16],"automation":[9],"has":[10,98],"gained":[11],"significant":[12],"attention.":[13],"Analog":[14],"circuit":[15],"optimization":[17],"is":[18,133],"complex":[19],"mainly":[20],"due":[21],"to":[22,34,89,100,163],"large":[24],"search":[25],"space":[26],"and":[27,69,77],"high":[28,106],"non-linearity.":[29],"Neural":[30],"networks":[31],"have":[32],"shown":[33,99],"be":[35,64],"effective":[36],"in":[37,48,56,79,85,135],"solving":[38],"highly":[39,90],"non-linear":[40,91],"problems.":[41,92],"Training":[42],"algorithms":[43,52],"play":[44],"an":[45,123],"important":[46],"role":[47],"neural":[49,60],"networks.":[50,61],"Gradient-based":[51],"are":[53,75,83],"popularly":[54],"used":[55],"training":[58],"of":[59,129,138],"They":[62],"can":[63,150],"broadly":[65],"classified":[66],"into":[67],"first":[68],"second-order":[70],"methods.":[71],"While":[72],"first-order":[73],"methods":[74],"simple":[76],"low":[78],"computational":[80,107],"complexity,":[81],"they":[82],"slow":[84],"convergence":[86,103],"when":[87],"applied":[88],"Incorporating":[93],"second":[94,113],"order":[95,114],"curvature":[96],"information":[97],"significantly":[101],"improve":[102],"despite":[104],"its":[105],"cost.":[108],"This":[109],"paper":[110],"proposes":[111],"a":[112,139],"adaptive":[115,124],"modified":[116],"Nesterov's":[117],"accelerated":[118],"quasi-Newton":[119],"method":[120,132,149],"(amNAQ)":[121],"with":[122],"momentum":[125],"scheme.":[126],"The":[127,143],"performance":[128],"proposed":[131,148],"evaluated":[134],"transistor":[136],"sizing":[137],"two":[140],"stage":[141],"op-amp.":[142],"results":[144],"indicate":[145],"that":[146],"efficiently":[151],"deduce":[152],"size":[154],"while":[155],"satisfying":[156],"desired":[158],"specifications":[159],"much":[160],"faster":[161],"compared":[162],"existing":[165],"popular":[166],"algorithms.":[167]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
