{"id":"https://openalex.org/W2100330461","doi":"https://doi.org/10.1109/fuzzy.2010.5584130","title":"Forecasting time-series for NN GC1 using Evolving Takagi-Sugeno (eTS) Fuzzy Systems with on-line inputs selection","display_name":"Forecasting time-series for NN GC1 using Evolving Takagi-Sugeno (eTS) Fuzzy Systems with on-line inputs selection","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2100330461","doi":"https://doi.org/10.1109/fuzzy.2010.5584130","mag":"2100330461"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2010.5584130","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2010.5584130","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Fuzzy Systems","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/A5029626997","display_name":"Javier Andreu-P\u00e9rez","orcid":"https://orcid.org/0000-0002-7421-4808"},"institutions":[{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Javier Andreu","raw_affiliation_strings":["Intelligent Systems Research Laboratory, Department of Communication Systems, InfoLab21, Lancaster University, Lancaster, UK","Intelligent Systems Research Laboratory, Department of Communication Systems, InfoLab21, Lancaster University, Lancaster, LA1 4WA, UK"],"affiliations":[{"raw_affiliation_string":"Intelligent Systems Research Laboratory, Department of Communication Systems, InfoLab21, Lancaster University, Lancaster, UK","institution_ids":["https://openalex.org/I67415387"]},{"raw_affiliation_string":"Intelligent Systems Research Laboratory, Department of Communication Systems, InfoLab21, Lancaster University, Lancaster, LA1 4WA, UK","institution_ids":["https://openalex.org/I67415387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039480864","display_name":"Plamen Angelov","orcid":"https://orcid.org/0000-0002-5770-934X"},"institutions":[{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Plamen Angelov","raw_affiliation_strings":["Intelligent Systems Research Laboratory, Department of Communication Systems, InfoLab21, Lancaster University, Lancaster, UK","Intelligent Systems Research Laboratory, Department of Communication Systems, InfoLab21, Lancaster University, Lancaster, LA1 4WA, UK"],"affiliations":[{"raw_affiliation_string":"Intelligent Systems Research Laboratory, Department of Communication Systems, InfoLab21, Lancaster University, Lancaster, UK","institution_ids":["https://openalex.org/I67415387"]},{"raw_affiliation_string":"Intelligent Systems Research Laboratory, Department of Communication Systems, InfoLab21, Lancaster University, Lancaster, LA1 4WA, UK","institution_ids":["https://openalex.org/I67415387"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5029626997"],"corresponding_institution_ids":["https://openalex.org/I67415387"],"apc_list":null,"apc_paid":null,"fwci":0.4645,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.74633309,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9991000294685364,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9991000294685364,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9905999898910522,"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":0.9860000014305115,"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/computer-science","display_name":"Computer science","score":0.7506543397903442},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6109370589256287},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5726011991500854},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5486531853675842},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.533694863319397},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5258529782295227},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4453519284725189},{"id":"https://openalex.org/keywords/fuzzy-rule","display_name":"Fuzzy rule","score":0.43986931443214417},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4030711352825165},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.39810910820961},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39456701278686523},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32400330901145935}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7506543397903442},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6109370589256287},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5726011991500854},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5486531853675842},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.533694863319397},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5258529782295227},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4453519284725189},{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.43986931443214417},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4030711352825165},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.39810910820961},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39456701278686523},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32400330901145935},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fuzzy.2010.5584130","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2010.5584130","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Fuzzy Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.lancs.ac.uk:33928","is_oa":false,"landing_page_url":"https://eprints.lancs.ac.uk/id/eprint/33928/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401916","display_name":"Lancaster EPrints (Lancaster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67415387","host_organization_name":"Lancaster University","host_organization_lineage":["https://openalex.org/I67415387"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Contribution in Book/Report/Proceedings"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G643151945","display_name":null,"funder_award_id":"EP/D077680/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W49797043","https://openalex.org/W115987419","https://openalex.org/W164752719","https://openalex.org/W318473150","https://openalex.org/W1498610047","https://openalex.org/W1554944419","https://openalex.org/W1570834090","https://openalex.org/W2036121527","https://openalex.org/W2079325629","https://openalex.org/W2094603430","https://openalex.org/W2103269436","https://openalex.org/W2107082000","https://openalex.org/W2118143383","https://openalex.org/W2135562470","https://openalex.org/W2135644475","https://openalex.org/W2139537204","https://openalex.org/W2151863350","https://openalex.org/W2162635690","https://openalex.org/W2168998316","https://openalex.org/W2171033594","https://openalex.org/W2475489172","https://openalex.org/W2498335503","https://openalex.org/W2764390228","https://openalex.org/W2913399920","https://openalex.org/W4244017338","https://openalex.org/W6602038731","https://openalex.org/W6606738424"],"related_works":["https://openalex.org/W2112284452","https://openalex.org/W2078633362","https://openalex.org/W2079985556","https://openalex.org/W3085798047","https://openalex.org/W2374269412","https://openalex.org/W371123309","https://openalex.org/W135622916","https://openalex.org/W1822436433","https://openalex.org/W2135010468","https://openalex.org/W1581607178"],"abstract_inverted_index":{"In":[0],"this":[1,130,220],"paper":[2],"we":[3,82,99,116,194],"present":[4],"results":[5],"and":[6,59,76,115,166,173,179,199,234],"algorithm":[7],"used":[8,83,101],"to":[9,44,142,161,176,181,201,216],"predict":[10],"14":[11],"days":[12],"horizon":[13],"from":[14,46,71,88],"a":[15,132,155,183,196],"number":[16],"of":[17,108,186,228,241],"time":[18,48,90,98,163],"series":[19,91],"provided":[20,178],"by":[21,53],"the":[22,35,47,54,61,72,85,89,122,143,187,189],"NN":[23,147],"GC1":[24,148],"concerning":[25],"transportation":[26],"datasets":[27],"[1].":[28],"Our":[29],"approach":[30,203,221],"is":[31,131,152,158,222],"based":[32,233],"on":[33],"applying":[34],"well":[36,170],"known":[37],"Evolving":[38],"Takagi-Sugeno":[39],"(eTS)":[40],"Fuzzy":[41],"Systems":[42],"[2-6]":[43],"self-learn":[45,58],"series.":[49],"ETS":[50],"are":[51],"characterized":[52],"fact":[55],"that":[56,129],"they":[57],"evolve":[60],"fuzzy":[62],"rule-based":[63],"system":[64],"which,":[65,136],"in":[66,77,97,146,205,224,239],"fact,":[67],"represents":[68],"their":[69],"structure":[70,230],"data":[73,86,110],"stream":[74],"on-line":[75],"real-time":[78],"mode.":[79],"That":[80],"means":[81],"all":[84],"samples":[87,111],"only":[92,100,150,227],"once,":[93],"at":[94],"any":[95,210],"instant":[96],"one":[102],"single":[103],"input":[104,243],"vector":[105],"(which":[106],"consist":[107],"few":[109],"as":[112,154,169,171,245],"described":[113,248],"below)":[114],"do":[117],"not":[118,208,226],"iterate":[119],"or":[120,214],"memorize":[121],"whole":[123],"sequence.":[124],"It":[125,157],"should":[126],"be":[127,139,177,217,247],"emphasized":[128],"huge":[133],"practical":[134],"advantage":[135],"unfortunately":[137],"cannot":[138],"compared":[140,180],"directly":[141],"other":[144],"competitors":[145],"if":[149],"precision/error":[151],"taken":[153],"criteria.":[156],"also":[159,238],"worth":[160],"require":[162,209],"for":[164],"calculations":[165],"memory":[167],"usage":[168],"iterations":[172],"computational":[174],"complexity":[175],"build":[182],"fuller":[184],"picture":[185],"advantages":[188],"proposed":[190],"technique":[191],"offers.":[192],"Nevertheless,":[193],"offer":[195],"computationally":[197],"light":[198],"easy":[200],"use":[202],"which":[204],"addition":[206],"does":[207],"user-or":[211],"problem-specific":[212],"thresholds":[213],"parameters":[215],"specified.":[218],"Additionally,":[219],"flexible":[223],"terms":[225,240],"its":[229],"(fuzzy":[231],"rule":[232],"automatic":[235,242],"self-development),":[236],"but":[237],"selection":[244],"will":[246],"below.":[249]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}