{"id":"https://openalex.org/W1967176704","doi":"https://doi.org/10.1109/ijcnn.2014.6889789","title":"The performance of a Recurrent HONN for temperature time series prediction","display_name":"The performance of a Recurrent HONN for temperature time series prediction","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W1967176704","doi":"https://doi.org/10.1109/ijcnn.2014.6889789","mag":"1967176704"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2014.6889789","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","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/A5011466065","display_name":"Rozaida Ghazali","orcid":"https://orcid.org/0000-0003-0119-0873"},"institutions":[{"id":"https://openalex.org/I930072361","display_name":"Tun Hussein Onn University of Malaysia","ror":"https://ror.org/01c5wha71","country_code":"MY","type":"education","lineage":["https://openalex.org/I930072361"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"R. Ghazali","raw_affiliation_strings":["Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor","Univ. Tun Hussein Onn Malaysia, Batu Pahat, Malaysia"],"affiliations":[{"raw_affiliation_string":"Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor","institution_ids":["https://openalex.org/I930072361"]},{"raw_affiliation_string":"Univ. Tun Hussein Onn Malaysia, Batu Pahat, Malaysia","institution_ids":["https://openalex.org/I930072361"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055786811","display_name":"Noor Aida Husaini","orcid":null},"institutions":[{"id":"https://openalex.org/I930072361","display_name":"Tun Hussein Onn University of Malaysia","ror":"https://ror.org/01c5wha71","country_code":"MY","type":"education","lineage":["https://openalex.org/I930072361"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"N. A. Husaini","raw_affiliation_strings":["Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor","Univ. Tun Hussein Onn Malaysia, Batu Pahat, Malaysia"],"affiliations":[{"raw_affiliation_string":"Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor","institution_ids":["https://openalex.org/I930072361"]},{"raw_affiliation_string":"Univ. Tun Hussein Onn Malaysia, Batu Pahat, Malaysia","institution_ids":["https://openalex.org/I930072361"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058735869","display_name":"Lokman Hakim Ismail","orcid":"https://orcid.org/0000-0001-8371-5922"},"institutions":[{"id":"https://openalex.org/I930072361","display_name":"Tun Hussein Onn University of Malaysia","ror":"https://ror.org/01c5wha71","country_code":"MY","type":"education","lineage":["https://openalex.org/I930072361"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"L. H. Ismail","raw_affiliation_strings":["Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor","Univ. Tun Hussein Onn Malaysia, Batu Pahat, Malaysia"],"affiliations":[{"raw_affiliation_string":"Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor","institution_ids":["https://openalex.org/I930072361"]},{"raw_affiliation_string":"Univ. Tun Hussein Onn Malaysia, Batu Pahat, Malaysia","institution_ids":["https://openalex.org/I930072361"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084810449","display_name":"Tutut Herawan","orcid":"https://orcid.org/0000-0001-9262-9137"},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"T. Herawan","raw_affiliation_strings":["Universiti of Malaya, Kuala Lumpur","University Of Malaya, Kuala lumpur, Malaysia"],"affiliations":[{"raw_affiliation_string":"Universiti of Malaya, Kuala Lumpur","institution_ids":["https://openalex.org/I33849332"]},{"raw_affiliation_string":"University Of Malaya, Kuala lumpur, Malaysia","institution_ids":["https://openalex.org/I33849332"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042780023","display_name":"Yana Mazwin Mohmad Hassim","orcid":"https://orcid.org/0000-0002-6681-8302"},"institutions":[{"id":"https://openalex.org/I930072361","display_name":"Tun Hussein Onn University of Malaysia","ror":"https://ror.org/01c5wha71","country_code":"MY","type":"education","lineage":["https://openalex.org/I930072361"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Y. M. M. Hassim","raw_affiliation_strings":["Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor","Univ. Tun Hussein Onn Malaysia, Batu Pahat, Malaysia"],"affiliations":[{"raw_affiliation_string":"Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor","institution_ids":["https://openalex.org/I930072361"]},{"raw_affiliation_string":"Univ. Tun Hussein Onn Malaysia, Batu Pahat, Malaysia","institution_ids":["https://openalex.org/I930072361"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5011466065"],"corresponding_institution_ids":["https://openalex.org/I930072361"],"apc_list":null,"apc_paid":null,"fwci":1.227,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.83668549,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"14","issue":null,"first_page":"518","last_page":"524"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9979000091552734,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9979000091552734,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9812999963760376,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.97079998254776,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7408025860786438},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.7175723314285278},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.6212833523750305},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.606377124786377},{"id":"https://openalex.org/keywords/sigma","display_name":"Sigma","score":0.5689727663993835},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5528792142868042},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5315371155738831},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5198031663894653},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.4907782971858978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44278308749198914},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41914844512939453},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30587953329086304},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23868289589881897},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12403228878974915}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7408025860786438},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.7175723314285278},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.6212833523750305},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.606377124786377},{"id":"https://openalex.org/C2778049214","wikidata":"https://www.wikidata.org/wiki/Q7512234","display_name":"Sigma","level":2,"score":0.5689727663993835},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5528792142868042},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5315371155738831},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5198031663894653},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.4907782971858978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44278308749198914},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41914844512939453},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30587953329086304},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23868289589881897},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12403228878974915},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2014.6889789","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W108949903","https://openalex.org/W1541274513","https://openalex.org/W1966264494","https://openalex.org/W1986055770","https://openalex.org/W1987618706","https://openalex.org/W1993512681","https://openalex.org/W2000507891","https://openalex.org/W2006001515","https://openalex.org/W2010860834","https://openalex.org/W2012169741","https://openalex.org/W2033041054","https://openalex.org/W2054459031","https://openalex.org/W2060480823","https://openalex.org/W2078149616","https://openalex.org/W2115822915","https://openalex.org/W2124776405","https://openalex.org/W2129754611","https://openalex.org/W2165350140","https://openalex.org/W2312925847","https://openalex.org/W2333252900","https://openalex.org/W2491723234","https://openalex.org/W3133056632","https://openalex.org/W4239436577","https://openalex.org/W4254183530","https://openalex.org/W4285719527","https://openalex.org/W6604442965","https://openalex.org/W6641231757","https://openalex.org/W6646859386"],"related_works":["https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W1847088711","https://openalex.org/W4225394202","https://openalex.org/W3036642985","https://openalex.org/W3032952384","https://openalex.org/W2964335273","https://openalex.org/W2982145560","https://openalex.org/W1981741235","https://openalex.org/W1507040636"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,34,106],"novel":[4],"application":[5],"of":[6,14,22,45,53,77,100],"Recurrent":[7,23,27,66],"HONN":[8],"to":[9,82,93],"forecast":[10],"the":[11,26,46,51,57,74,89,101],"future":[12,75],"index":[13,76],"temperature":[15,36,78,103],"time":[16],"series":[17,79],"data.":[18],"The":[19,43,62],"prediction":[20],"capability":[21],"HONN,":[24],"namely":[25],"Pi-Sigma":[28,59,67],"Neural":[29,60,68],"Network":[30,69],"was":[31],"tested":[32],"on":[33],"five-year":[35],"data":[37],"taken":[38],"from":[39],"Batu":[40],"Pahat,":[41],"Malaysia.":[42],"performance":[44,52,108],"network":[47,90],"is":[48,70,86,91],"benchmarked":[49],"against":[50],"Multilayer":[54],"Perceptron,":[55],"and":[56,112],"standard":[58],"Network.":[61],"predictions":[63],"demonstrated":[64],"that":[65,88],"capable":[71],"in":[72,80,109],"predicting":[73],"comparison":[81],"other":[83],"models.":[84],"It":[85],"observed":[87],"able":[92],"find":[94],"an":[95],"appropriate":[96],"input":[97],"output":[98],"mapping":[99],"chaotic":[102],"signals":[104],"with":[105],"good":[107],"learning":[110],"speed":[111],"generalization":[113],"capability.":[114]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
