{"id":"https://openalex.org/W2069925449","doi":"https://doi.org/10.4304/jcp.6.7.1424-1429","title":"Sunspot Forecasting by Using Chaotic Time-series Analysis and NARX Network","display_name":"Sunspot Forecasting by Using Chaotic Time-series Analysis and NARX Network","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2069925449","doi":"https://doi.org/10.4304/jcp.6.7.1424-1429","mag":"2069925449"},"language":"en","primary_location":{"id":"doi:10.4304/jcp.6.7.1424-1429","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.6.7.1424-1429","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-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/A5021883636","display_name":"Chuanjin Jiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chuanjin Jiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5065228783","display_name":"Fugen Song","orcid":null},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fugen Song","raw_affiliation_strings":["Donghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Donghua University","institution_ids":["https://openalex.org/I181326427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1206,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.87648025,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"6","issue":"7","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10244","display_name":"Chaos control and synchronization","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10244","display_name":"Chaos control and synchronization","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9642999768257141,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8826048970222473},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6940509676933289},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.6253697276115417},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6149512529373169},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5359469652175903},{"id":"https://openalex.org/keywords/sunspot","display_name":"Sunspot","score":0.5093970894813538},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.4863277077674866},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.37219518423080444},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.340329110622406},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.32228076457977295},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2585725784301758},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2381042242050171},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1252661645412445},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12150037288665771},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11602944135665894}],"concepts":[{"id":"https://openalex.org/C42536954","wikidata":"https://www.wikidata.org/wiki/Q7049462","display_name":"Nonlinear autoregressive exogenous model","level":3,"score":0.8826048970222473},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6940509676933289},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.6253697276115417},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6149512529373169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5359469652175903},{"id":"https://openalex.org/C197370839","wikidata":"https://www.wikidata.org/wiki/Q6582994","display_name":"Sunspot","level":3,"score":0.5093970894813538},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.4863277077674866},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.37219518423080444},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.340329110622406},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.32228076457977295},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2585725784301758},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2381042242050171},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1252661645412445},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12150037288665771},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11602944135665894},{"id":"https://openalex.org/C115260700","wikidata":"https://www.wikidata.org/wiki/Q11408","display_name":"Magnetic field","level":2,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jcp.6.7.1424-1429","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.6.7.1424-1429","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2010461070","https://openalex.org/W2091010684","https://openalex.org/W2121594221","https://openalex.org/W2124428761","https://openalex.org/W2132638958","https://openalex.org/W2165562590","https://openalex.org/W2392868926","https://openalex.org/W4240172095"],"related_works":["https://openalex.org/W2606910468","https://openalex.org/W3116827148","https://openalex.org/W4226315710","https://openalex.org/W3120843198","https://openalex.org/W2036704594","https://openalex.org/W3083782034","https://openalex.org/W4287185323","https://openalex.org/W2275178414","https://openalex.org/W3123153965","https://openalex.org/W2154965898"],"abstract_inverted_index":{"Chaotic":[0],"time-series":[1,57],"is":[2],"a":[3],"dynamic":[4,40],"nonlinear":[5],"system":[6],"whose":[7],"features":[8],"can":[9,35,87],"not":[10],"be":[11],"fully":[12],"reflected":[13],"by":[14],"Linear":[15],"Regression":[16],"Model":[17],"or":[18],"Static":[19],"Neural":[20],"Network.":[21],"While":[22],"Nonlinear":[23],"Autoregressive":[24],"with":[25,71,79],"eXogenous":[26],"input":[27],"includes":[28],"feedback":[29],"of":[30,46,55],"network":[31,86],"output,":[32],"therefore,":[33],"it":[34],"better":[36,88],"reflect":[37],"the":[38,53,60,90],"system\u2019s":[39],"feature.":[41],"Take":[42],"annual":[43],"active":[44],"times":[45],"sunspot":[47,56,68],"as":[48],"an":[49],"example,":[50],"after":[51],"verifying":[52],"chaos":[54],"and":[58,64,82],"calculating":[59],"series\u2019":[61],"embedding":[62],"dimension":[63],"delay,":[65],"we":[66],"establish":[67],"prediction":[69],"model":[70],"NARX":[72,85],"network.":[73],"The":[74],"result":[75],"shows":[76],"that":[77],"compared":[78],"BP":[80],"Network":[81],"ARIMA":[83],"Model,":[84],"predict":[89],"chaos.":[91]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}