{"id":"https://openalex.org/W2099716683","doi":"https://doi.org/10.1109/ijcnn.2007.4371234","title":"Structure and Parameter Learning Algorithm of Jordan Type Recurrent Neural Networks","display_name":"Structure and Parameter Learning Algorithm of Jordan Type Recurrent Neural Networks","publication_year":2007,"publication_date":"2007-08-01","ids":{"openalex":"https://openalex.org/W2099716683","doi":"https://doi.org/10.1109/ijcnn.2007.4371234","mag":"2099716683"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2007.4371234","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2007.4371234","pdf_url":null,"source":{"id":"https://openalex.org/S4210195743","display_name":"IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks","issn_l":"1098-7576","issn":["1098-7576","1558-3902"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 International Joint Conference on Neural Networks","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/A5110160565","display_name":"Tung-Yung Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I92582371","display_name":"Southern Taiwan University of Science and Technology","ror":"https://ror.org/0029n1t76","country_code":"TW","type":"education","lineage":["https://openalex.org/I92582371"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Tung-Yung Huang","raw_affiliation_strings":["Department of Mechanical Engineering, Southern Taiwan University of Technology, Tainan, Taiwan","Dept. of Mech. Eng., Southern Taiwan Univ. of Technol., Tainan"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Southern Taiwan University of Technology, Tainan, Taiwan","institution_ids":["https://openalex.org/I92582371"]},{"raw_affiliation_string":"Dept. of Mech. Eng., Southern Taiwan Univ. of Technol., Tainan","institution_ids":["https://openalex.org/I92582371"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074025547","display_name":"Chung-Chi J. Li","orcid":null},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C. James Li","raw_affiliation_strings":["Department of Mechanical, AeroSpace & Nuclear Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA","Department of Mechanical, Aerospace & Nuclear Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180 USA. e-mail: lic3@rpi.edu"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical, AeroSpace & Nuclear Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"Department of Mechanical, Aerospace & Nuclear Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180 USA. e-mail: lic3@rpi.edu","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112951776","display_name":"Ting-Wei Hsu","orcid":"https://orcid.org/0000-0003-3703-184X"},"institutions":[{"id":"https://openalex.org/I92582371","display_name":"Southern Taiwan University of Science and Technology","ror":"https://ror.org/0029n1t76","country_code":"TW","type":"education","lineage":["https://openalex.org/I92582371"]},{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["TW","US"],"is_corresponding":false,"raw_author_name":"Ting-Wei Hsu","raw_affiliation_strings":["Department of Mechanical Engineering, Southern Taiwan University of Technology, Tainan, Taiwan","Department of Mechanical Engineering, Southern Taiwan University of Technology, Tainan 71005, Taiwan; Language Center, University of California, Los Angeles, CA 90034 USA. e-mail: lancer3233@yahoo.com.tw"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Southern Taiwan University of Technology, Tainan, Taiwan","institution_ids":["https://openalex.org/I92582371"]},{"raw_affiliation_string":"Department of Mechanical Engineering, Southern Taiwan University of Technology, Tainan 71005, Taiwan; Language Center, University of California, Los Angeles, CA 90034 USA. e-mail: lancer3233@yahoo.com.tw","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110160565"],"corresponding_institution_ids":["https://openalex.org/I92582371"],"apc_list":null,"apc_paid":null,"fwci":1.1417,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.77204885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"23","issue":null,"first_page":"1819","last_page":"1824"},"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9850000143051147,"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/T11236","display_name":"Control Systems and Identification","score":0.9840999841690063,"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/nonlinear-autoregressive-exogenous-model","display_name":"Nonlinear autoregressive exogenous model","score":0.9386316537857056},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.816502034664154},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.7955679893493652},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6507900357246399},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.6098416447639465},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5920494198799133},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5666703581809998},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5309027433395386},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5064688920974731},{"id":"https://openalex.org/keywords/echo-state-network","display_name":"Echo state network","score":0.4892303943634033},{"id":"https://openalex.org/keywords/van-der-pol-oscillator","display_name":"Van der Pol oscillator","score":0.48157548904418945},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.42883968353271484},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4177485704421997},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4172177016735077},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41456320881843567},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.27232325077056885},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21700483560562134},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.07352125644683838}],"concepts":[{"id":"https://openalex.org/C42536954","wikidata":"https://www.wikidata.org/wiki/Q7049462","display_name":"Nonlinear autoregressive exogenous model","level":3,"score":0.9386316537857056},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.816502034664154},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.7955679893493652},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6507900357246399},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6098416447639465},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5920494198799133},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5666703581809998},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5309027433395386},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5064688920974731},{"id":"https://openalex.org/C172025690","wikidata":"https://www.wikidata.org/wiki/Q5332763","display_name":"Echo state network","level":4,"score":0.4892303943634033},{"id":"https://openalex.org/C98010927","wikidata":"https://www.wikidata.org/wiki/Q2081515","display_name":"Van der Pol oscillator","level":3,"score":0.48157548904418945},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.42883968353271484},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4177485704421997},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4172177016735077},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41456320881843567},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.27232325077056885},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21700483560562134},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.07352125644683838},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2007.4371234","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2007.4371234","pdf_url":null,"source":{"id":"https://openalex.org/S4210195743","display_name":"IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks","issn_l":"1098-7576","issn":["1098-7576","1558-3902"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 International Joint Conference on Neural Networks","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":41,"referenced_works":["https://openalex.org/W1489133580","https://openalex.org/W1502856245","https://openalex.org/W1537384552","https://openalex.org/W1978626680","https://openalex.org/W1985900302","https://openalex.org/W2016589492","https://openalex.org/W2018739078","https://openalex.org/W2025634149","https://openalex.org/W2025723988","https://openalex.org/W2028069051","https://openalex.org/W2034797247","https://openalex.org/W2040118574","https://openalex.org/W2059670103","https://openalex.org/W2063386656","https://openalex.org/W2064092773","https://openalex.org/W2085495678","https://openalex.org/W2089338180","https://openalex.org/W2097533491","https://openalex.org/W2098154713","https://openalex.org/W2098398123","https://openalex.org/W2103414828","https://openalex.org/W2105727046","https://openalex.org/W2107878631","https://openalex.org/W2110485445","https://openalex.org/W2115397446","https://openalex.org/W2124776405","https://openalex.org/W2130491563","https://openalex.org/W2132423763","https://openalex.org/W2138484437","https://openalex.org/W2145085734","https://openalex.org/W2146972303","https://openalex.org/W2154341446","https://openalex.org/W2156151304","https://openalex.org/W2157080539","https://openalex.org/W2166750272","https://openalex.org/W2285257517","https://openalex.org/W3133056632","https://openalex.org/W4241016220","https://openalex.org/W4254816979","https://openalex.org/W6629919510","https://openalex.org/W6641231757"],"related_works":["https://openalex.org/W2984112945","https://openalex.org/W1514460679","https://openalex.org/W2903992663","https://openalex.org/W4237814686","https://openalex.org/W3001462218","https://openalex.org/W2767876058","https://openalex.org/W2983954238","https://openalex.org/W2170265234","https://openalex.org/W2997427060","https://openalex.org/W4285110051"],"abstract_inverted_index":{"Nonlinear-system":[0],"identification":[1],"is":[2,87,104,109],"very":[3],"useful":[4],"in":[5,43,69,111],"a":[6,46,54,59,95],"great":[7],"variety":[8],"of":[9,94],"disciplines":[10],"such":[11,53],"as":[12],"automatic":[13],"control,":[14],"mechanical":[15],"diagnostics,":[16],"and":[17,38,61,76,100],"financial":[18],"market":[19],"prediction.":[20],"Among":[21],"state-of-the-art":[22],"techniques,":[23],"recurrent":[24,66],"neural":[25,67],"networks":[26,68],"(RNN's)":[27],"intrigue":[28],"researchers":[29],"by":[30],"its":[31],"temporal":[32],"operation":[33],"nature.":[34],"However,":[35],"time-consuming":[36],"process":[37],"unsolved":[39],"local":[40],"minimum":[41],"problem":[42],"training":[44],"form":[45],"barrier":[47],"for":[48,65],"interested":[49],"people.":[50],"To":[51],"overcome":[52],"barrier,":[55],"this":[56],"paper":[57],"proposes":[58],"structure":[60],"parameter":[62],"learning":[63,85],"method":[64],"identifying":[70],"both":[71],"nonlinear":[72,77],"autoregressive":[73,78],"system":[74,79],"(NAR)":[75],"with":[80,114],"exogeneous":[81],"input":[82],"(NARX).":[83],"This":[84],"scheme":[86],"then":[88],"applied":[89],"to":[90],"model":[91],"the":[92,107],"dynamics":[93],"Van":[96],"der":[97],"Pol":[98],"oscillator":[99],"piezoelectric":[101],"hysteresis.":[102],"It":[103],"shown":[105],"that":[106],"algorithm":[108],"effective":[110],"building":[112],"RNN's":[113],"good":[115],"generalization":[116],"capability":[117],"via":[118],"cross":[119],"validation.":[120]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}