{"id":"https://openalex.org/W2116065775","doi":"https://doi.org/10.1109/ijcnn.2004.1381087","title":"Enhanced forecasting approach: an integration of NGARCH and hybrid BPNN-weighted grey-C3LSP","display_name":"Enhanced forecasting approach: an integration of NGARCH and hybrid BPNN-weighted grey-C3LSP","publication_year":2005,"publication_date":"2005-02-28","ids":{"openalex":"https://openalex.org/W2116065775","doi":"https://doi.org/10.1109/ijcnn.2004.1381087","mag":"2116065775"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2004.1381087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1381087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)","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/A5031525579","display_name":"Bao Rong Chang","orcid":"https://orcid.org/0000-0002-0952-3591"},"institutions":[{"id":"https://openalex.org/I178613991","display_name":"National Taitung University","ror":"https://ror.org/05j9d8v51","country_code":"TW","type":"education","lineage":["https://openalex.org/I178613991"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Bao Rong Chang","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taitung University, Taitung, Taiwan","Department of Computer Science & Information Engineering, National Taitung University, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taitung University, Taitung, Taiwan","institution_ids":["https://openalex.org/I178613991"]},{"raw_affiliation_string":"Department of Computer Science & Information Engineering, National Taitung University, Taiwan","institution_ids":["https://openalex.org/I178613991"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5031525579"],"corresponding_institution_ids":["https://openalex.org/I178613991"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19084707,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"2747","last_page":"2752"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12368","display_name":"Grey System Theory Applications","score":0.996999979019165,"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/T12368","display_name":"Grey System Theory Applications","score":0.996999979019165,"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/T14351","display_name":"Statistical and Computational Modeling","score":0.9606999754905701,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.939300000667572,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.686676025390625},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6689364314079285},{"id":"https://openalex.org/keywords/heteroscedasticity","display_name":"Heteroscedasticity","score":0.6391845941543579},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.494139701128006},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46676868200302124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4378049671649933},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3751458525657654},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.34734123945236206},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3355834484100342},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3096889853477478}],"concepts":[{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.686676025390625},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6689364314079285},{"id":"https://openalex.org/C101104100","wikidata":"https://www.wikidata.org/wiki/Q1063540","display_name":"Heteroscedasticity","level":2,"score":0.6391845941543579},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.494139701128006},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46676868200302124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4378049671649933},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3751458525657654},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.34734123945236206},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3355834484100342},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3096889853477478},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2004.1381087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1381087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1501367650","https://openalex.org/W1520529885","https://openalex.org/W1888850124","https://openalex.org/W1979575715","https://openalex.org/W1999996900","https://openalex.org/W2004945920","https://openalex.org/W2013377700","https://openalex.org/W2044503966","https://openalex.org/W2067448476","https://openalex.org/W2097451243","https://openalex.org/W2161554494","https://openalex.org/W2170614369","https://openalex.org/W2423293082","https://openalex.org/W2497642727","https://openalex.org/W2620311882","https://openalex.org/W3146166473","https://openalex.org/W4229692665","https://openalex.org/W4241115065","https://openalex.org/W6631076676","https://openalex.org/W6674682019","https://openalex.org/W7066207352"],"related_works":["https://openalex.org/W1676609285","https://openalex.org/W3148934225","https://openalex.org/W2351648145","https://openalex.org/W2038165226","https://openalex.org/W2052845382","https://openalex.org/W4254549582","https://openalex.org/W2148483050","https://openalex.org/W3124109721","https://openalex.org/W2916152223","https://openalex.org/W2356241365"],"abstract_inverted_index":{"Hybrid":[0],"BPNN-weighted":[1,65],"grey-C3LSP":[2,66],"(BWGC)":[3],"prediction":[4,45,54,94],"has":[5,77],"been":[6,22,78],"introduced":[7],"earlier":[8],"to":[9,62,90],"overcome":[10],"the":[11,28,70,73,83,93],"crucial":[12],"problem":[13],"of":[14,72],"overshooting":[15],"phenomenon.":[16],"However,":[17],"some":[18],"predicted":[19,75],"values":[20],"have":[21],"shown":[23],"not":[24],"precisely":[25],"enough":[26],"as":[27,89],"observations":[29],"are":[30],"really":[31],"far":[32],"away":[33],"from":[34],"both":[35],"GM(1,1|/spl":[36],"alpha/)":[37],"and":[38],"cumulated":[39],"3":[40],"points":[41],"least":[42],"squared":[43],"linear":[44],"(C3LSP)":[46],"outputs.":[47],"Therefore,":[48],"this":[49,81],"study":[50],"proposes":[51],"a":[52],"new":[53],"approach,":[55],"incorporating":[56],"non-linear":[57],"generalized":[58],"conditional":[59],"heteroscedasticity":[60],"(NGARCH)":[61],"integrate":[63],"hybrid":[64],"prediction,":[67],"in":[68],"which":[69],"smoothness":[71],"final":[74],"output":[76],"improved.":[79],"In":[80],"way,":[82],"model's":[84],"generalization":[85],"is":[86,99],"enhanced":[87],"so":[88],"further":[91],"improve":[92],"accuracy.":[95],"The":[96],"proposed":[97],"method":[98],"verified":[100],"successfully":[101],"by":[102],"two":[103],"empirical":[104],"experiments.":[105]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
