{"id":"https://openalex.org/W2888200178","doi":"https://doi.org/10.1016/j.neucom.2018.08.021","title":"Forecasting neural network model with novel CID learning rate and EEMD algorithms on energy market","display_name":"Forecasting neural network model with novel CID learning rate and EEMD algorithms on energy market","publication_year":2018,"publication_date":"2018-08-20","ids":{"openalex":"https://openalex.org/W2888200178","doi":"https://doi.org/10.1016/j.neucom.2018.08.021","mag":"2888200178"},"language":"en","primary_location":{"id":"doi:10.1016/j.neucom.2018.08.021","doi":"https://doi.org/10.1016/j.neucom.2018.08.021","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.neucom.2018.08.021","pdf_url":null,"source":{"id":"https://openalex.org/S45693802","display_name":"Neurocomputing","issn_l":"0925-2312","issn":["0925-2312","1872-8286"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-c","cwts-core","dongbi-b","doyens","jufo-2","ki-jl-2","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neurocomputing","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5025085757","display_name":"Zhongpei Cen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhongpei Cen","raw_affiliation_strings":["Institute of Financial Mathematics and Financial Engineering, School of Science, Beijing Jiaotong University, Beijing 100044, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Financial Mathematics and Financial Engineering, School of Science, Beijing Jiaotong University, Beijing 100044, PR China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jun Wang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["Institute of Financial Mathematics and Financial Engineering, School of Science, Beijing Jiaotong University, Beijing 100044, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Financial Mathematics and Financial Engineering, School of Science, Beijing Jiaotong University, Beijing 100044, PR China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5025085757"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":{"value":2670,"currency":"USD","value_usd":2670},"apc_paid":null,"fwci":2.4767,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.89435388,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":"317","issue":null,"first_page":"168","last_page":"178"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9750999808311462,"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":0.9750999808311462,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.012199999764561653,"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/T10320","display_name":"Neural Networks and Applications","score":0.006399999838322401,"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/energy-market-forecasting","display_name":"energy market forecasting","score":0.8100000023841858},{"id":"https://openalex.org/keywords/learning-rate-control","display_name":"learning rate control","score":0.7450000047683716},{"id":"https://openalex.org/keywords/ensemble-empirical-mode-decomposition","display_name":"ensemble empirical mode decomposition","score":0.9789999723434448},{"id":"https://openalex.org/keywords/intrinsic-mode-function","display_name":"intrinsic mode functions","score":0.9800000190734863},{"id":"https://openalex.org/keywords/time-series-forecasting","display_name":"time series forecasting","score":0.718999981880188},{"id":"https://openalex.org/keywords/wti-crude-oil-prices","display_name":"WTI crude oil prices","score":0.8460000157356262},{"id":"https://openalex.org/keywords/brent-crude-oil-prices","display_name":"Brent crude oil prices","score":0.9419999718666077},{"id":"https://openalex.org/keywords/neural-network-architecture","display_name":"neural network architecture","score":0.5889999866485596}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7639920711517334},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7371903657913208},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.6237265467643738},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5908684134483337},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49263840913772583},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.47457149624824524},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.4711814224720001},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.44785669445991516},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4215320646762848},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.neucom.2018.08.021","doi":"https://doi.org/10.1016/j.neucom.2018.08.021","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.neucom.2018.08.021","pdf_url":null,"source":{"id":"https://openalex.org/S45693802","display_name":"Neurocomputing","issn_l":"0925-2312","issn":["0925-2312","1872-8286"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-c","cwts-core","dongbi-b","doyens","jufo-2","ki-jl-2","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neurocomputing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.5371000170707703}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W167454468","https://openalex.org/W222543348","https://openalex.org/W1965067119","https://openalex.org/W1990085418","https://openalex.org/W1990381576","https://openalex.org/W1993332189","https://openalex.org/W2006942814","https://openalex.org/W2007221293","https://openalex.org/W2022899540","https://openalex.org/W2023959308","https://openalex.org/W2030450739","https://openalex.org/W2032927332","https://openalex.org/W2034804347","https://openalex.org/W2036599383","https://openalex.org/W2041723890","https://openalex.org/W2043927921","https://openalex.org/W2050313897","https://openalex.org/W2058819127","https://openalex.org/W2069308542","https://openalex.org/W2070986256","https://openalex.org/W2080265874","https://openalex.org/W2089268064","https://openalex.org/W2091849019","https://openalex.org/W2098738063","https://openalex.org/W2110371102","https://openalex.org/W2112739286","https://openalex.org/W2120390927","https://openalex.org/W2129413312","https://openalex.org/W2159219354","https://openalex.org/W2165761444","https://openalex.org/W2229668941","https://openalex.org/W2280154071","https://openalex.org/W2286961399","https://openalex.org/W2293354547","https://openalex.org/W2319030048","https://openalex.org/W2557173065","https://openalex.org/W2566003805","https://openalex.org/W2572554044","https://openalex.org/W2573526403","https://openalex.org/W2590661630","https://openalex.org/W2625540161","https://openalex.org/W2792578766","https://openalex.org/W2917443388"],"related_works":["https://openalex.org/W3092183330","https://openalex.org/W3029632564","https://openalex.org/W2596922372","https://openalex.org/W3086523225","https://openalex.org/W3093423702","https://openalex.org/W1986478348","https://openalex.org/W1509672509","https://openalex.org/W1799003314","https://openalex.org/W3037801011","https://openalex.org/W4296819027"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2018-08-31T00:00:00"}
