{"id":"https://openalex.org/W4402437225","doi":"https://doi.org/10.1109/ccta60707.2024.10666538","title":"Analysis and Local Convergence Proof of a Constrained Optimization Algorithm for Training Neural Networks","display_name":"Analysis and Local Convergence Proof of a Constrained Optimization Algorithm for Training Neural Networks","publication_year":2024,"publication_date":"2024-08-21","ids":{"openalex":"https://openalex.org/W4402437225","doi":"https://doi.org/10.1109/ccta60707.2024.10666538"},"language":"en","primary_location":{"id":"doi:10.1109/ccta60707.2024.10666538","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ccta60707.2024.10666538","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Conference on Control Technology and Applications (CCTA)","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/A5057975418","display_name":"Andrei Kanavalau","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Andrei Kanavalau","raw_affiliation_strings":["CCTA"],"affiliations":[{"raw_affiliation_string":"CCTA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082736758","display_name":"Sanjay Lall","orcid":"https://orcid.org/0000-0002-1783-5309"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sanjay Lall","raw_affiliation_strings":["CCTA"],"affiliations":[{"raw_affiliation_string":"CCTA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5057975418"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13182862,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"21","issue":null,"first_page":"839","last_page":"844"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9897000193595886,"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":0.9897000193595886,"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/T14025","display_name":"Educational Technology and Assessment","score":0.9747999906539917,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9607999920845032,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/convergence","display_name":"Convergence (economics)","score":0.6942265033721924},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6495638489723206},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5842350125312805},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4825096130371094},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.42058542370796204},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.38029855489730835},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3201278746128082},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20598024129867554}],"concepts":[{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6942265033721924},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6495638489723206},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5842350125312805},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4825096130371094},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.42058542370796204},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38029855489730835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3201278746128082},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20598024129867554},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccta60707.2024.10666538","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ccta60707.2024.10666538","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Conference on Control Technology and Applications (CCTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320315684","display_name":"Stanford SystemX Alliance","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1669104078","https://openalex.org/W2499662517","https://openalex.org/W2898640938","https://openalex.org/W2978980369","https://openalex.org/W2990138404","https://openalex.org/W3002224236","https://openalex.org/W3006087551","https://openalex.org/W3082650005","https://openalex.org/W3085904782","https://openalex.org/W3125835663","https://openalex.org/W3128157635","https://openalex.org/W3135401435","https://openalex.org/W4280607878","https://openalex.org/W4287325185","https://openalex.org/W4291236916","https://openalex.org/W4293363567","https://openalex.org/W4293436458","https://openalex.org/W4380184790","https://openalex.org/W4382239760","https://openalex.org/W4398198403","https://openalex.org/W6767160061","https://openalex.org/W6796309736"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W230091440","https://openalex.org/W2073681303","https://openalex.org/W2233261550","https://openalex.org/W2810751659","https://openalex.org/W258997015","https://openalex.org/W2997094352","https://openalex.org/W3216976533","https://openalex.org/W100620283","https://openalex.org/W2495260952"],"abstract_inverted_index":{"Training":[0],"neural":[1],"networks":[2],"with":[3,63],"constraints":[4],"by":[5],"solving":[6],"a":[7,37,50],"constrained":[8],"optimization":[9,44],"problem":[10],"has":[11],"the":[12,27,31,42,60,72],"potential":[13],"to":[14,70],"extend":[15],"their":[16],"applicability.":[17],"Promising":[18],"results":[19],"have":[20],"been":[21],"obtained":[22],"using":[23],"approaches":[24],"based":[25],"on":[26],"augmented":[28],"Lagrangian":[29],"and":[30,74],"primal-dual":[32,61],"method.":[33],"This":[34],"work":[35],"offers":[36],"concise":[38],"self-contained":[39],"presentation":[40],"of":[41,52,55],"relevant":[43],"theory.":[45],"The":[46],"main":[47],"result":[48],"is":[49],"proof":[51],"local":[53],"convergence":[54],"an":[56],"algorithm":[57],"that":[58],"integrates":[59],"method":[62],"Adam":[64],"optimizer.":[65],"Numerical":[66],"experiments":[67],"are":[68],"used":[69],"validate":[71],"theory":[73],"provide":[75],"practical":[76],"insights.":[77]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
