{"id":"https://openalex.org/W2146377814","doi":"https://doi.org/10.1109/ijcnn.2004.1379897","title":"Training of the dynamic neural networks via constrained optimisation","display_name":"Training of the dynamic neural networks via constrained optimisation","publication_year":2005,"publication_date":"2005-02-22","ids":{"openalex":"https://openalex.org/W2146377814","doi":"https://doi.org/10.1109/ijcnn.2004.1379897","mag":"2146377814"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2004.1379897","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1379897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)","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/A5034534839","display_name":"Krzysztof Patan","orcid":"https://orcid.org/0000-0002-6989-9400"},"institutions":[{"id":"https://openalex.org/I46305939","display_name":"University of Zielona G\u00f3ra","ror":"https://ror.org/04fzm7v55","country_code":"PL","type":"education","lineage":["https://openalex.org/I46305939"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"K. Patan","raw_affiliation_strings":["Institute of Control and Computation Engineering, University of Zielona Gora, Zielona Gora, Poland","[Inst. of Control & Comput. Eng., Zielona Gora Univ., Poland]"],"affiliations":[{"raw_affiliation_string":"Institute of Control and Computation Engineering, University of Zielona Gora, Zielona Gora, Poland","institution_ids":["https://openalex.org/I46305939"]},{"raw_affiliation_string":"[Inst. of Control & Comput. Eng., Zielona Gora Univ., Poland]","institution_ids":["https://openalex.org/I46305939"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5034534839"],"corresponding_institution_ids":["https://openalex.org/I46305939"],"apc_list":null,"apc_paid":null,"fwci":1.3163,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.85082101,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"195","last_page":"200"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9987000226974487,"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":0.9987000226974487,"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/T11236","display_name":"Control Systems and Identification","score":0.9873999953269958,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9854999780654907,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7685961723327637},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7455451488494873},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.6606460809707642},{"id":"https://openalex.org/keywords/stochastic-neural-network","display_name":"Stochastic neural network","score":0.6043524146080017},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.515359103679657},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48418572545051575},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4070095121860504},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3941647410392761},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3392401337623596},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12636670470237732}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7685961723327637},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7455451488494873},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.6606460809707642},{"id":"https://openalex.org/C86582703","wikidata":"https://www.wikidata.org/wiki/Q7617824","display_name":"Stochastic neural network","level":4,"score":0.6043524146080017},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.515359103679657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48418572545051575},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4070095121860504},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3941647410392761},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3392401337623596},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12636670470237732},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/ijcnn.2004.1379897","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1379897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)","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":14,"referenced_works":["https://openalex.org/W203276351","https://openalex.org/W1485426748","https://openalex.org/W1490488263","https://openalex.org/W1602682863","https://openalex.org/W2000647458","https://openalex.org/W2018037388","https://openalex.org/W2068743703","https://openalex.org/W2089808022","https://openalex.org/W2128458901","https://openalex.org/W2138096130","https://openalex.org/W2152503618","https://openalex.org/W2700431872","https://openalex.org/W4248510537","https://openalex.org/W6740170830"],"related_works":["https://openalex.org/W2378845890","https://openalex.org/W4206589881","https://openalex.org/W1584270863","https://openalex.org/W2085961337","https://openalex.org/W2390500492","https://openalex.org/W180587397","https://openalex.org/W2391951449","https://openalex.org/W1538606284","https://openalex.org/W2085068378","https://openalex.org/W2371928941"],"abstract_inverted_index":{"The":[0,45],"paper":[1],"deals":[2],"with":[3],"training":[4,49],"of":[5,28,56,71,80,82],"a":[6,39,54,59,64,72],"dynamic":[7,29,86],"neural":[8,23],"network":[9,20,24],"by":[10],"using":[11,77],"an":[12,78,83],"algorithm":[13,61],"which":[14,31],"takes":[15],"into":[16],"account":[17],"constraints":[18],"on":[19,63],"parameters.":[21],"A":[22],"considered":[25],"is":[26,43,50,75],"composed":[27],"neurons,":[30],"contain":[32],"inner":[33],"feedbacks.":[34],"To":[35],"train":[36],"this":[37,57],"network,":[38],"stochastic":[40],"approximation":[41],"method":[42],"applied.":[44],"stability":[46],"analysis":[47],"during":[48],"also":[51],"investigated.":[52],"As":[53],"result":[55],"analysis,":[58],"learning":[60],"based":[62],"constrained":[65],"optimization":[66],"has":[67],"been":[68],"elaborated.":[69],"Efficiency":[70],"proposed":[73],"approach":[74],"presented":[76],"example":[79],"modelling":[81],"unknown":[84],"non-linear":[85],"system.":[87]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}