{"id":"https://openalex.org/W2159335201","doi":"https://doi.org/10.1109/ijcnn.2005.1555940","title":"A constrained optimization algorithm for training locally recurrent globally feedforward neural networks","display_name":"A constrained optimization algorithm for training locally recurrent globally feedforward neural networks","publication_year":2006,"publication_date":"2006-01-05","ids":{"openalex":"https://openalex.org/W2159335201","doi":"https://doi.org/10.1109/ijcnn.2005.1555940","mag":"2159335201"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2005.1555940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1555940","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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/A5040104724","display_name":"Paris Mastorocostas","orcid":"https://orcid.org/0000-0002-2892-8017"},"institutions":[{"id":"https://openalex.org/I149588736","display_name":"Technological Educational Institute of Central Macedonia","ror":"https://ror.org/01mw24p94","country_code":"GR","type":"education","lineage":["https://openalex.org/I149588736"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"P.A. Mastorocostas","raw_affiliation_strings":["Department of Informatics & Communications, Technological Educational Institute of Serres, Serres, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Informatics & Communications, Technological Educational Institute of Serres, Serres, Greece","institution_ids":["https://openalex.org/I149588736"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5040104724"],"corresponding_institution_ids":["https://openalex.org/I149588736"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.22985284,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"717","last_page":"722"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9991000294685364,"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":0.9991000294685364,"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/T12676","display_name":"Machine Learning and ELM","score":0.9933000206947327,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.7119200825691223},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6921571493148804},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.6858590245246887},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6358294486999512},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.6077483892440796},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6005176305770874},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.5947117209434509},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5595133304595947},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.549085795879364},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4617360830307007},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.4501502513885498},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4463639259338379},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.420939177274704},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.404715359210968},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.38932251930236816},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3422408401966095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1803187131881714},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10364681482315063},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.07119515538215637}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7119200825691223},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6921571493148804},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.6858590245246887},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6358294486999512},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.6077483892440796},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6005176305770874},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.5947117209434509},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5595133304595947},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.549085795879364},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4617360830307007},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.4501502513885498},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4463639259338379},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.420939177274704},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.404715359210968},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38932251930236816},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3422408401966095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1803187131881714},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10364681482315063},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.07119515538215637},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2005.1555940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1555940","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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":9,"referenced_works":["https://openalex.org/W1996647346","https://openalex.org/W1996741810","https://openalex.org/W2081808304","https://openalex.org/W2118415523","https://openalex.org/W2132653096","https://openalex.org/W2138484437","https://openalex.org/W2143908786","https://openalex.org/W2150634210","https://openalex.org/W2152503618"],"related_works":["https://openalex.org/W2115072676","https://openalex.org/W4311212821","https://openalex.org/W2045727192","https://openalex.org/W2102065768","https://openalex.org/W4390752998","https://openalex.org/W1529660427","https://openalex.org/W3121106353","https://openalex.org/W2524120878","https://openalex.org/W2794343888","https://openalex.org/W2158578859"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,21,60],"novel":[4],"learning":[5,55,69],"algorithm":[6,73],"for":[7],"training":[8,16],"locally":[9],"recurrent":[10],"globally":[11],"feedforward":[12],"neural":[13],"networks.":[14],"The":[15],"task":[17],"is":[18,27],"formulated":[19],"as":[20],"constrained":[22],"optimization":[23,45],"problem,":[24],"whose":[25],"objective":[26],"twofold:":[28],"(i)":[29],"minimization":[30],"of":[31,39,46,80],"an":[32,47],"error":[33],"measure,":[34],"leading":[35],"to":[36,67],"successful":[37],"approximation":[38],"the":[40,54,71],"input/output":[41],"mapping":[42],"and":[43,83],"(ii)":[44],"additional":[48],"functional,":[49],"which":[50],"aims":[51],"at":[52],"accelerating":[53],"process.":[56],"Simulation":[57],"results":[58],"on":[59],"benchmark":[61],"identification":[62],"problem":[63],"demonstrate":[64],"that,":[65],"compared":[66],"other":[68],"schemes,":[70],"proposed":[72],"has":[74],"enhanced":[75],"qualities,":[76],"including":[77],"improved":[78],"speed":[79],"convergence,":[81],"accuracy":[82],"robustness.":[84]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}