{"id":"https://openalex.org/W2770700199","doi":"https://doi.org/10.1007/s00521-017-3289-9","title":"Comparative performance of wavelet-based neural network approaches","display_name":"Comparative performance of wavelet-based neural network approaches","publication_year":2017,"publication_date":"2017-11-22","ids":{"openalex":"https://openalex.org/W2770700199","doi":"https://doi.org/10.1007/s00521-017-3289-9","mag":"2770700199"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-017-3289-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-017-3289-9","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","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/A5030199934","display_name":"Priyanka Anjoy","orcid":"https://orcid.org/0000-0002-1121-7067"},"institutions":[{"id":"https://openalex.org/I1141210","display_name":"Indian Agricultural Statistics Research Institute","ror":"https://ror.org/03kkevc75","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1141210","https://openalex.org/I179420787"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Priyanka Anjoy","raw_affiliation_strings":["ICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012, India","institution_ids":["https://openalex.org/I1141210"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010993606","display_name":"Ranjit Kumar Paul","orcid":"https://orcid.org/0000-0002-1045-8504"},"institutions":[{"id":"https://openalex.org/I1141210","display_name":"Indian Agricultural Statistics Research Institute","ror":"https://ror.org/03kkevc75","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1141210","https://openalex.org/I179420787"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ranjit Kumar Paul","raw_affiliation_strings":["ICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012, India","institution_ids":["https://openalex.org/I1141210"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5010993606"],"corresponding_institution_ids":["https://openalex.org/I1141210"],"apc_list":{"value":3290,"currency":"USD","value_usd":3290},"apc_paid":null,"fwci":0.9575,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.79406729,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"31","issue":"8","first_page":"3443","last_page":"3453"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9947999715805054,"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":0.9947999715805054,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9704999923706055,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9682000279426575,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.759276807308197},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7090781331062317},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6807677149772644},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.5794429183006287},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.44647446274757385},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4380591809749603},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4345245659351349},{"id":"https://openalex.org/keywords/lag","display_name":"Lag","score":0.4149324297904968},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4128396809101105},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3851327896118164},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3695981502532959},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1858689785003662}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.759276807308197},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7090781331062317},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6807677149772644},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.5794429183006287},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.44647446274757385},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4380591809749603},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4345245659351349},{"id":"https://openalex.org/C75778745","wikidata":"https://www.wikidata.org/wiki/Q342626","display_name":"Lag","level":2,"score":0.4149324297904968},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4128396809101105},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3851327896118164},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3695981502532959},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1858689785003662},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00521-017-3289-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-017-3289-9","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W9477434","https://openalex.org/W141878464","https://openalex.org/W172829282","https://openalex.org/W1126748158","https://openalex.org/W1582484699","https://openalex.org/W1606326889","https://openalex.org/W1965103631","https://openalex.org/W1965520378","https://openalex.org/W1975694431","https://openalex.org/W1993498260","https://openalex.org/W2006447203","https://openalex.org/W2009721612","https://openalex.org/W2011227258","https://openalex.org/W2021760340","https://openalex.org/W2065283082","https://openalex.org/W2100139649","https://openalex.org/W2117014758","https://openalex.org/W2124776405","https://openalex.org/W2143304716","https://openalex.org/W2146552111","https://openalex.org/W2146848957","https://openalex.org/W2158638608","https://openalex.org/W3111775619","https://openalex.org/W3140169868","https://openalex.org/W3151589532","https://openalex.org/W4295332281","https://openalex.org/W4298352105"],"related_works":["https://openalex.org/W2167436245","https://openalex.org/W2171218219","https://openalex.org/W1972271943","https://openalex.org/W2150410159","https://openalex.org/W2349019353","https://openalex.org/W2154965898","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W2119012848","https://openalex.org/W1990205660"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}