{"id":"https://openalex.org/W2774758659","doi":"https://doi.org/10.1109/smc.2017.8123050","title":"Neural decomposition of time-series data","display_name":"Neural decomposition of time-series data","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2774758659","doi":"https://doi.org/10.1109/smc.2017.8123050","mag":"2774758659"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2017.8123050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2017.8123050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5001526908","display_name":"Luke B. Godfrey","orcid":"https://orcid.org/0000-0003-0379-8823"},"institutions":[{"id":"https://openalex.org/I78715868","display_name":"University of Arkansas at Fayetteville","ror":"https://ror.org/05jbt9m15","country_code":"US","type":"education","lineage":["https://openalex.org/I78715868"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Luke B. Godfrey","raw_affiliation_strings":["Department of Computer Science and Computer Engineering, University of Arkansas, Fayetteville, AR"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Computer Engineering, University of Arkansas, Fayetteville, AR","institution_ids":["https://openalex.org/I78715868"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003595274","display_name":"Michael S. Gashler","orcid":"https://orcid.org/0000-0001-8991-8907"},"institutions":[{"id":"https://openalex.org/I78715868","display_name":"University of Arkansas at Fayetteville","ror":"https://ror.org/05jbt9m15","country_code":"US","type":"education","lineage":["https://openalex.org/I78715868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael S. Gashler","raw_affiliation_strings":["Department of Computer Science and Computer Engineering, University of Arkansas, Fayetteville, AR"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Computer Engineering, University of Arkansas, Fayetteville, AR","institution_ids":["https://openalex.org/I78715868"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5001526908"],"corresponding_institution_ids":["https://openalex.org/I78715868"],"apc_list":null,"apc_paid":null,"fwci":0.775,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.77503,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"3","issue":null,"first_page":"2796","last_page":"2801"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9990000128746033,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9951000213623047,"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/series","display_name":"Series (stratigraphy)","score":0.6640477180480957},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.6253113746643066},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6036630868911743},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5987361073493958},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4276343286037445},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3406379222869873},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3260974884033203},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23547318577766418}],"concepts":[{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6640477180480957},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.6253113746643066},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6036630868911743},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5987361073493958},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4276343286037445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3406379222869873},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3260974884033203},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23547318577766418},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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:10.1109/smc.2017.8123050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2017.8123050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1584610719","https://openalex.org/W1898061650","https://openalex.org/W1946238955","https://openalex.org/W1971869067","https://openalex.org/W1982978808","https://openalex.org/W1988518729","https://openalex.org/W2000765441","https://openalex.org/W2012079387","https://openalex.org/W2025059256","https://openalex.org/W2029803196","https://openalex.org/W2039708501","https://openalex.org/W2047971248","https://openalex.org/W2078695030","https://openalex.org/W2105119576","https://openalex.org/W2112458980","https://openalex.org/W2117014758","https://openalex.org/W2117624000","https://openalex.org/W2117829824","https://openalex.org/W2126455177","https://openalex.org/W2136848157","https://openalex.org/W2139122335","https://openalex.org/W2140411979","https://openalex.org/W2168985799","https://openalex.org/W2177933918","https://openalex.org/W2313011619","https://openalex.org/W2326655012","https://openalex.org/W2894891763","https://openalex.org/W6676843192","https://openalex.org/W6681083216"],"related_works":["https://openalex.org/W1919101720","https://openalex.org/W4390822878","https://openalex.org/W96888382","https://openalex.org/W2041308758","https://openalex.org/W4386126592","https://openalex.org/W2380059383","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W3146111732","https://openalex.org/W1990205660"],"abstract_inverted_index":{"We":[0,54,117],"present":[1],"a":[2,20,28,35,67,81,95,112,135],"neural":[3],"network":[4],"technique":[5],"for":[6],"the":[7,78,89],"analysis":[8],"and":[9,50,102,132],"extrapolation":[10],"of":[11,31,37,83,92,97,107],"time-series":[12,96,106,123],"data":[13],"called":[14],"Neural":[15],"Decomposition":[16],"(ND).":[17],"Units":[18],"with":[19,42,63,134],"sinusoidal":[21],"activation":[22,44],"function":[23],"are":[24],"used":[25],"to":[26,46,65],"perform":[27],"Fourier-like":[29],"decomposition":[30],"training":[32],"samples":[33],"into":[34],"sum":[36],"sinusoids,":[38],"augmented":[39],"by":[40,88],"units":[41],"nonperiodic":[43,52],"functions":[45],"capture":[47],"linear":[48],"trends":[49],"other":[51],"components.":[53],"show":[55],"how":[56],"careful":[57],"weight":[58],"initialization":[59],"can":[60],"be":[61],"combined":[62],"regularization":[64],"form":[66],"simple":[68],"model":[69],"that":[70,119],"generalizes":[71,75],"well.":[72],"Our":[73],"method":[74],"effectively":[76],"on":[77],"Mackey-Glass":[79],"series,":[80],"dataset":[82],"unemployment":[84],"rates":[85],"as":[86],"reported":[87],"U.S.":[90],"Department":[91],"Labor":[93],"Statistics,":[94],"monthly":[98],"international":[99],"airline":[100],"passengers,":[101],"an":[103],"unevenly":[104],"sampled":[105],"oxygen":[108],"isotope":[109],"measurements":[110],"from":[111],"cave":[113],"in":[114],"north":[115],"India.":[116],"find":[118],"ND":[120],"outperforms":[121],"popular":[122],"forecasting":[124],"techniques":[125],"including":[126],"LSTM,":[127],"echo":[128],"state":[129],"networks,":[130],"(S)ARIMA,":[131],"SVR":[133],"radial":[136],"basis":[137],"function.":[138]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
