{"id":"https://openalex.org/W2007342636","doi":"https://doi.org/10.1016/j.cie.2012.01.017","title":"Hybridization of autoregressive integrated moving average (ARIMA) with probabilistic neural networks (PNNs)","display_name":"Hybridization of autoregressive integrated moving average (ARIMA) with probabilistic neural networks (PNNs)","publication_year":2012,"publication_date":"2012-01-30","ids":{"openalex":"https://openalex.org/W2007342636","doi":"https://doi.org/10.1016/j.cie.2012.01.017","mag":"2007342636"},"language":"en","primary_location":{"id":"doi:10.1016/j.cie.2012.01.017","doi":"https://doi.org/10.1016/j.cie.2012.01.017","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.cie.2012.01.017","pdf_url":null,"source":{"id":"https://openalex.org/S196821226","display_name":"Computers & Industrial Engineering","issn_l":"0360-8352","issn":["0360-8352","1879-0550"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-scientific","cwts-core","dongbi-b","fnege-3","jufo-1","ki-jl-1","norway-1","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":"Computers & Industrial Engineering","raw_type":"journal-article"},"volume":null,"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/A5005829949","display_name":"Mehdi Khashei","orcid":"https://orcid.org/0000-0002-2607-2665","observed_orcids":["https://orcid.org/0000-0002-2607-2665","https://orcid.org/0000-0003-2047-1507"]},"institutions":[{"id":"https://openalex.org/I170013655","display_name":"Isfahan University of Technology","ror":"https://ror.org/00af3sa43","country_code":"IR","type":"education","lineage":["https://openalex.org/I170013655"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Mehdi Khashei","raw_affiliation_strings":["Department of Industrial Engineering, Isfahan University of Technology, Isfahan, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Isfahan University of Technology, Isfahan, Iran","institution_ids":["https://openalex.org/I170013655"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113815349","display_name":"Mehdi Bijari","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I170013655","display_name":"Isfahan University of Technology","ror":"https://ror.org/00af3sa43","country_code":"IR","type":"education","lineage":["https://openalex.org/I170013655"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mehdi Bijari","raw_affiliation_strings":["Department of Industrial Engineering, Isfahan University of Technology, Isfahan, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Isfahan University of Technology, Isfahan, Iran","institution_ids":["https://openalex.org/I170013655"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039854007","display_name":"Gholam Ali Raissi Ardali","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I170013655","display_name":"Isfahan University of Technology","ror":"https://ror.org/00af3sa43","country_code":"IR","type":"education","lineage":["https://openalex.org/I170013655"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Gholam Ali Raissi Ardali","raw_affiliation_strings":["Department of Industrial Engineering, Isfahan University of Technology, Isfahan, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Isfahan University of Technology, Isfahan, Iran","institution_ids":["https://openalex.org/I170013655"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5005829949"],"corresponding_institution_ids":["https://openalex.org/I170013655"],"apc_list":{"value":3790,"currency":"USD","value_usd":3790},"apc_paid":null,"fwci":5.9259,"has_fulltext":false,"cited_by_count":100,"citation_normalized_percentile":{"value":0.95888969,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"63","issue":"1","first_page":"37","last_page":"45"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.79830002784729,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.79830002784729,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.19900000095367432,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.0017000000225380063,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/arima","display_name":"ARIMA","score":0.8640000224113464},{"id":"https://openalex.org/keywords/probabilistic-neural-network","display_name":"probabilistic neural network","score":0.9800000190734863},{"id":"https://openalex.org/keywords/hybrid-forecasting-model","display_name":"hybrid forecasting model","score":0.9309999942779541},{"id":"https://openalex.org/keywords/time-series-forecasting","display_name":"time series forecasting","score":0.972000002861023},{"id":"https://openalex.org/keywords/financial-market-prediction","display_name":"financial market forecasting","score":0.9179999828338623},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"ensemble learning","score":0.4009999930858612},{"id":"https://openalex.org/keywords/forecast-accuracy","display_name":"forecast accuracy","score":0.7260000109672546}],"concepts":[{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.9674352407455444},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6636578440666199},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6470277905464172},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5819528698921204},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5799025297164917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.568278431892395},{"id":"https://openalex.org/C175706884","wikidata":"https://www.wikidata.org/wiki/Q1130194","display_name":"Moving average","level":2,"score":0.4567109942436218},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.45382535457611084},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.45261436700820923},{"id":"https://openalex.org/C122282355","wikidata":"https://www.wikidata.org/wiki/Q7246855","display_name":"Probabilistic forecasting","level":3,"score":0.41725826263427734},{"id":"https://openalex.org/C82257358","wikidata":"https://www.wikidata.org/wiki/Q895497","display_name":"Box\u2013Jenkins","level":4,"score":0.414041131734848},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38599449396133423},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.37368476390838623},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35873034596443176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35791680216789246},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18047621846199036},{"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/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:10.1016/j.cie.2012.01.017","doi":"https://doi.org/10.1016/j.cie.2012.01.017","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.cie.2012.01.017","pdf_url":null,"source":{"id":"https://openalex.org/S196821226","display_name":"Computers & Industrial Engineering","issn_l":"0360-8352","issn":["0360-8352","1879-0550"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-scientific","cwts-core","dongbi-b","fnege-3","jufo-1","ki-jl-1","norway-1","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":"Computers & Industrial Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W15572362","https://openalex.org/W1509168122","https://openalex.org/W1572930125","https://openalex.org/W1586373186","https://openalex.org/W1598265492","https://openalex.org/W1964168965","https://openalex.org/W1965324089","https://openalex.org/W1968371014","https://openalex.org/W1969681270","https://openalex.org/W1976611654","https://openalex.org/W1976676498","https://openalex.org/W1977900532","https://openalex.org/W1984755515","https://openalex.org/W1986078433","https://openalex.org/W1986528915","https://openalex.org/W1991001067","https://openalex.org/W2000765441","https://openalex.org/W2010538021","https://openalex.org/W2017933454","https://openalex.org/W2037269865","https://openalex.org/W2050654176","https://openalex.org/W2059804518","https://openalex.org/W2072809394","https://openalex.org/W2073875037","https://openalex.org/W2074607451","https://openalex.org/W2076236170","https://openalex.org/W2090049808","https://openalex.org/W2092436092","https://openalex.org/W2092624117","https://openalex.org/W2117014758","https://openalex.org/W2118020555","https://openalex.org/W2123513648","https://openalex.org/W2149391626","https://openalex.org/W2171234954","https://openalex.org/W2313953460","https://openalex.org/W2334014378","https://openalex.org/W4243618985","https://openalex.org/W4249333974"],"related_works":["https://openalex.org/W3011400879","https://openalex.org/W2009952448","https://openalex.org/W2059804518","https://openalex.org/W2123513648","https://openalex.org/W2117014758","https://openalex.org/W4393126949","https://openalex.org/W1012589326","https://openalex.org/W1991001067","https://openalex.org/W2040198354","https://openalex.org/W1601414854"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":7},{"year":2012,"cited_by_count":2}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2016-06-24T00:00:00"}