{"id":"https://openalex.org/W4285408069","doi":"https://doi.org/10.3103/s0146411622030026","title":"Time Series Prediction Using Radial Basis Function Network with Transformation of Training Data and Its Applications","display_name":"Time Series Prediction Using Radial Basis Function Network with Transformation of Training Data and Its Applications","publication_year":2022,"publication_date":"2022-06-01","ids":{"openalex":"https://openalex.org/W4285408069","doi":"https://doi.org/10.3103/s0146411622030026"},"language":"en","primary_location":{"id":"doi:10.3103/s0146411622030026","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411622030026","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","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/A5071703234","display_name":"Satoshi KITAYAMA","orcid":null},"institutions":[{"id":"https://openalex.org/I10091056","display_name":"Kanazawa University","ror":"https://ror.org/02hwp6a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I10091056"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Satoshi Kitayama","raw_affiliation_strings":["Kanazawa University, 920-1192, Kakuma-machi, Kanazawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kanazawa University, 920-1192, Kakuma-machi, Kanazawa, Japan","institution_ids":["https://openalex.org/I10091056"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109806113","display_name":"Kohei SAITO","orcid":null},"institutions":[{"id":"https://openalex.org/I10091056","display_name":"Kanazawa University","ror":"https://ror.org/02hwp6a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I10091056"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kohei Saito","raw_affiliation_strings":["Graduate School of Natural Science & Technology, Kanazawa University, 920-1192, Kakuma-machi, Kanazawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Natural Science & Technology, Kanazawa University, 920-1192, Kakuma-machi, Kanazawa, Japan","institution_ids":["https://openalex.org/I10091056"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5071703234","https://openalex.org/A5109806113"],"corresponding_institution_ids":["https://openalex.org/I10091056"],"apc_list":null,"apc_paid":null,"fwci":0.3483,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.50317125,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"56","issue":"3","first_page":"239","last_page":"252"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9958999752998352,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9958999752998352,"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":0.9954000115394592,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9721999764442444,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/computer-science","display_name":"Computer science","score":0.8815435171127319},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.6531014442443848},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.6378231048583984},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6171467304229736},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5067618489265442},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5051396489143372},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.49865269660949707},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4816628694534302},{"id":"https://openalex.org/keywords/radial-basis-function-network","display_name":"Radial basis function network","score":0.4326152801513672},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4163866341114044},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3920910954475403},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3908962905406952},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.338589072227478},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3372696340084076},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.29207643866539},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08241313695907593}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8815435171127319},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.6531014442443848},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.6378231048583984},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6171467304229736},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5067618489265442},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5051396489143372},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.49865269660949707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4816628694534302},{"id":"https://openalex.org/C132917294","wikidata":"https://www.wikidata.org/wiki/Q2679684","display_name":"Radial basis function network","level":4,"score":0.4326152801513672},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4163866341114044},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3920910954475403},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3908962905406952},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.338589072227478},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3372696340084076},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.29207643866539},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08241313695907593},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3103/s0146411622030026","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411622030026","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1529331786","https://openalex.org/W1532851034","https://openalex.org/W1965226445","https://openalex.org/W1966690449","https://openalex.org/W1968802704","https://openalex.org/W1985297169","https://openalex.org/W1990816055","https://openalex.org/W1992288729","https://openalex.org/W1995234002","https://openalex.org/W1999933124","https://openalex.org/W2056489048","https://openalex.org/W2058271794","https://openalex.org/W2066366061","https://openalex.org/W2289334616","https://openalex.org/W2295498173","https://openalex.org/W2517109113","https://openalex.org/W2884229854","https://openalex.org/W2918600339","https://openalex.org/W2937354350"],"related_works":["https://openalex.org/W4230534566","https://openalex.org/W2105180757","https://openalex.org/W1992876914","https://openalex.org/W2184586959","https://openalex.org/W162769146","https://openalex.org/W2162304341","https://openalex.org/W1567195887","https://openalex.org/W157952102","https://openalex.org/W1572661297","https://openalex.org/W2374946871"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"paper":[2],"presents":[3],"a":[4],"time":[5,26,46,78],"series":[6,27,47,79],"prediction":[7,28,80,122,135],"using":[8,72,81],"radial":[9],"basis":[10],"function":[11],"(RBF)":[12],"network":[13,84],"with":[14,145],"the":[15,22,32,40,52,58,62,68,73,77,82,106,110,121,128,132,140,146],"affine":[16,53,74],"transformation":[17,54],"of":[18],"training":[19,23,59,63],"data.":[20,60],"Conventionally,":[21],"data":[24,64],"for":[25],"is":[29,55,85,94,116,125],"considered":[30],"in":[31,39,49,87,143],"absolute":[33],"coordinate":[34,70,89],"system,":[35],"and":[36,76,96,109],"these":[37],"results":[38,130],"poor":[41],"prediction.":[42],"For":[43],"highly":[44,133],"accurate":[45,134],"prediction,":[48],"this":[50,88],"paper,":[51],"applied":[56],"to":[57,98,104,118],"Therefore,":[61],"are":[65,102],"transformed":[66],"into":[67],"rotated":[69],"system":[71],"transformation,":[75],"RBF":[83,148],"made":[86,138],"system.":[90],"The":[91],"proposed":[92,107,141],"approach":[93],"simple":[95],"easy":[97],"implement.":[99],"Several":[100],"benchmarks":[101],"selected":[103],"examine":[105],"approach,":[108,142],"root":[111],"mean":[112],"square":[113],"error":[114],"(RMSE)":[115],"used":[117],"numerically":[119],"evaluate":[120],"accuracy.":[123],"It":[124],"found":[126],"from":[127],"numerical":[129],"that":[131],"can":[136],"be":[137],"by":[139],"comparison":[144],"conventional":[147],"network.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
