{"id":"https://openalex.org/W2117809914","doi":"https://doi.org/10.1109/ijcnn.2011.6033489","title":"Comparison of neural networks-based ANARX and NARX models by application of correlation tests","display_name":"Comparison of neural networks-based ANARX and NARX models by application of correlation tests","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2117809914","doi":"https://doi.org/10.1109/ijcnn.2011.6033489","mag":"2117809914"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2011.6033489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2011.6033489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2011 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/A5081748391","display_name":"Sven N\u00f5mm","orcid":"https://orcid.org/0000-0001-5571-1692"},"institutions":[{"id":"https://openalex.org/I111112146","display_name":"Tallinn University of Technology","ror":"https://ror.org/0443cwa12","country_code":"EE","type":"education","lineage":["https://openalex.org/I111112146"]}],"countries":["EE"],"is_corresponding":false,"raw_author_name":"Sven Nomm","raw_affiliation_strings":["Control Systems Department, Institute of Cybernetics at Tallinn University of Technology, Tallinn, Estonia","Control Systems Department, Institute of Cybernetics at Tallinn University of Technology, Estonia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Control Systems Department, Institute of Cybernetics at Tallinn University of Technology, Tallinn, Estonia","institution_ids":["https://openalex.org/I111112146"]},{"raw_affiliation_string":"Control Systems Department, Institute of Cybernetics at Tallinn University of Technology, Estonia","institution_ids":["https://openalex.org/I111112146"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085233495","display_name":"\u00dclle Kotta","orcid":"https://orcid.org/0000-0002-7697-769X"},"institutions":[{"id":"https://openalex.org/I111112146","display_name":"Tallinn University of Technology","ror":"https://ror.org/0443cwa12","country_code":"EE","type":"education","lineage":["https://openalex.org/I111112146"]}],"countries":["EE"],"is_corresponding":false,"raw_author_name":"Ulle Kotta","raw_affiliation_strings":["Control Systems Department, Institute of Cybernetics at Tallinn University of Technology, Tallinn, Estonia","Control Systems Department, Institute of Cybernetics at Tallinn University of Technology, Estonia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Control Systems Department, Institute of Cybernetics at Tallinn University of Technology, Tallinn, Estonia","institution_ids":["https://openalex.org/I111112146"]},{"raw_affiliation_string":"Control Systems Department, Institute of Cybernetics at Tallinn University of Technology, Estonia","institution_ids":["https://openalex.org/I111112146"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.6,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.94780425,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2113","last_page":"2118"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9976000189781189,"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"}},"topics":[{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9976000189781189,"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":0.9952999949455261,"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/T10320","display_name":"Neural Networks and Applications","score":0.991100013256073,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/nonlinear-autoregressive-exogenous-model","display_name":"Nonlinear autoregressive exogenous model","score":0.9788700342178345},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.9061260223388672},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6409945487976074},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5867422819137573},{"id":"https://openalex.org/keywords/star-model","display_name":"STAR model","score":0.57911616563797},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5538564324378967},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5410032272338867},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4318055212497711},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37982016801834106},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.31070074439048767},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3066338896751404},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2907326817512512},{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.22330740094184875},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.11197540163993835}],"concepts":[{"id":"https://openalex.org/C42536954","wikidata":"https://www.wikidata.org/wiki/Q7049462","display_name":"Nonlinear autoregressive exogenous model","level":3,"score":0.9788700342178345},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.9061260223388672},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6409945487976074},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5867422819137573},{"id":"https://openalex.org/C194657046","wikidata":"https://www.wikidata.org/wiki/Q7394685","display_name":"STAR model","level":4,"score":0.57911616563797},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5538564324378967},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5410032272338867},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4318055212497711},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37982016801834106},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.31070074439048767},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3066338896751404},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2907326817512512},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.22330740094184875},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.11197540163993835},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2011.6033489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2011.6033489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2011 International Joint Conference on Neural Networks","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W6429349","https://openalex.org/W88068511","https://openalex.org/W2016033520","https://openalex.org/W2053904120","https://openalex.org/W2062931881","https://openalex.org/W2064517346","https://openalex.org/W2104961426","https://openalex.org/W2620452103","https://openalex.org/W6600270225","https://openalex.org/W6603563654","https://openalex.org/W6739281883"],"related_works":["https://openalex.org/W2439807930","https://openalex.org/W2606910468","https://openalex.org/W3116827148","https://openalex.org/W3120843198","https://openalex.org/W2799656149","https://openalex.org/W4287185323","https://openalex.org/W304218021","https://openalex.org/W3123153965","https://openalex.org/W2154965898","https://openalex.org/W2098152933"],"abstract_inverted_index":{"A":[0],"correlation-test-based":[1],"validation":[2],"procedure":[3],"is":[4],"applied":[5],"in":[6],"this":[7],"study":[8],"to":[9,19],"compare":[10],"neural":[11],"networks":[12],"based":[13],"nonlinear":[14,24],"autoregressive":[15,25],"exogenous":[16,26],"model":[17],"class":[18],"its":[20],"subclass":[21],"of":[22],"additive":[23],"models.":[27]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}