{"id":"https://openalex.org/W2005997663","doi":"https://doi.org/10.1109/icic.2010.300","title":"Research on Short-range Climatic Forecast Method Based on EMD and SVM","display_name":"Research on Short-range Climatic Forecast Method Based on EMD and SVM","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2005997663","doi":"https://doi.org/10.1109/icic.2010.300","mag":"2005997663"},"language":"en","primary_location":{"id":"doi:10.1109/icic.2010.300","doi":"https://doi.org/10.1109/icic.2010.300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icic.2010.300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Third International Conference on Information and Computing","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5046108741","display_name":"Shuoben Bi","orcid":"https://orcid.org/0000-0002-7295-1716","observed_orcids":["https://orcid.org/0000-0002-7295-1716"]},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo-Ben Bi","raw_affiliation_strings":["School of Computer Science and Technology, Nanjing University of Information Science and Technology, Nanjing, China","Sch. of Comput. Sci. & Technol., Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"Sch. of Comput. Sci. & Technol., Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053459383","display_name":"Yin Xu","orcid":"https://orcid.org/0000-0002-4891-0535","observed_orcids":["https://orcid.org/0000-0002-4891-0535"]},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yin Xu","raw_affiliation_strings":["School of Computer Science and Technology, Nanjing University of Information Science and Technology, Nanjing, China","Sch. of Inf. & Control Technol., Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"Sch. of Inf. & Control Technol., Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100446816","display_name":"Xuan Chen","orcid":"https://orcid.org/0000-0002-9730-104X","observed_orcids":["https://orcid.org/0000-0002-9730-104X"]},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Chen","raw_affiliation_strings":["School of Computer Science and Technology, Nanjing University of Information Science and Technology, Nanjing, China","Sch. of Comput. Sci. & Technol., Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"Sch. of Comput. Sci. & Technol., Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Bi-Qiang Wang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bi-Qiang Wang","raw_affiliation_strings":["School of Computer Science and Technology, Nanjing University of Information Science and Technology, Nanjing, China","Sch. of Comput. Sci. & Technol., Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"Sch. of Comput. Sci. & Technol., Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I200845125"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.12376509,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"117","last_page":"120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.823199987411499,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.823199987411499,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10029","display_name":"Climate variability and models","score":0.07320000231266022,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.024299999698996544,"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/empirical-mode-decomposition","display_name":"empirical mode decomposition","score":0.9909999966621399},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.996999979019165},{"id":"https://openalex.org/keywords/nonstationary-time-series","display_name":"non-stationary time series","score":0.9190000295639038},{"id":"https://openalex.org/keywords/intrinsic-mode-function","display_name":"intrinsic mode functions","score":0.8069999814033508},{"id":"https://openalex.org/keywords/summer-rainfall","display_name":"summer precipitation","score":0.7089999914169312},{"id":"https://openalex.org/keywords/guangxi","display_name":"Guangxi","score":0.6919999718666077}],"concepts":[{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.823248028755188},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7870708107948303},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.577250063419342},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5645756125450134},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.55866938829422},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5562651753425598},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5478349924087524},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5147354602813721},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4980142116546631},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4735240936279297},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.47044438123703003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4663023054599762},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4505121409893036},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4393465518951416},{"id":"https://openalex.org/C107054158","wikidata":"https://www.wikidata.org/wiki/Q25257","display_name":"Precipitation","level":2,"score":0.41278278827667236},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.388206422328949},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34850308299064636},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19729083776474},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.17573150992393494},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11487352848052979},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08776438236236572},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07751914858818054},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icic.2010.300","doi":"https://doi.org/10.1109/icic.2010.300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icic.2010.300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Third International Conference on Information and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.9786999821662903}],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.8500000238418579}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W208128215","https://openalex.org/W1532181071","https://openalex.org/W1596717185","https://openalex.org/W2007221293","https://openalex.org/W2045480466","https://openalex.org/W2140190241","https://openalex.org/W2332837365","https://openalex.org/W2351643004","https://openalex.org/W2359573494","https://openalex.org/W2366515176","https://openalex.org/W2392019980","https://openalex.org/W2392253231","https://openalex.org/W2394361359","https://openalex.org/W3140767970","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W3014107421","https://openalex.org/W2081563414","https://openalex.org/W2363056446","https://openalex.org/W2359718298","https://openalex.org/W2377062149","https://openalex.org/W2076661204","https://openalex.org/W2380939102","https://openalex.org/W2089603224","https://openalex.org/W2072581623","https://openalex.org/W1915398038"],"abstract_inverted_index":{"Climate":[0],"is":[1,19,26],"a":[2,46,82],"nonlinear":[3,24],"system,":[4],"and":[5,63,90,106,136,157],"the":[6,12,30,34,66,75,120,137,143,154],"BP":[7],"neural":[8],"network":[9],"algorithm":[10,17,56,68,152],"or":[11],"Support":[13],"Vector":[14],"Machine":[15],"(SVM)":[16],"which":[18],"superior":[20],"in":[21,29,126,128],"dealing":[22],"with":[23,65,86,150],"problems":[25],"usually":[27],"used":[28],"climate":[31,71],"forecast.":[32,72],"Meanwhile,":[33],"climatic":[35,59],"time":[36,60,77,92],"series":[37,61,78,83],"also":[38],"include":[39],"nonstationary":[40,76],"feature,":[41],"so":[42],"this":[43],"paper":[44,118],"introduces":[45],"new":[47],"method":[48,147],"of":[49,84,88,102,123,148],"signal":[50],"processing-the":[51],"Empirical":[52],"Mode":[53],"Decomposition":[54],"(EMD)":[55],"for":[57,69,95,133],"making":[58],"placidly,":[62],"combines":[64],"SVM":[67,103,151],"short-range":[70],"At":[73],"first,":[74],"are":[79],"decomposed":[80],"into":[81],"IMFs":[85],"features":[87],"stationarity":[89],"multiple":[91],"scale,":[93],"then":[94],"each":[96],"IMF":[97],"component,":[98],"constructing":[99],"different":[100],"models":[101],"to":[104,113,142],"forecast,":[105],"finally":[107],"would":[108],"be":[109],"straight":[110],"line":[111],"fit":[112],"final":[114],"forecast":[115,145],"result.":[116],"This":[117],"uses":[119],"anomaly":[121],"percentage":[122],"accumulated":[124],"precipitation":[125],"summer":[127],"Guangxi":[129],"Zhuang":[130],"Autonomous":[131],"Region":[132],"reality":[134],"testing,":[135],"result":[138],"shows":[139],"that":[140],"comparing":[141],"direct":[144],"methods,":[146],"EMD":[149],"has":[153],"higher":[155],"precision":[156],"better":[158],"generalization":[159],"ability.":[160]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2025-10-10T00:00:00"}