{"id":"https://openalex.org/W2013735837","doi":"https://doi.org/10.1109/icca.2013.6564876","title":"Growing-type WASD for power-activation neuronet to model and forecast monthly time series","display_name":"Growing-type WASD for power-activation neuronet to model and forecast monthly time series","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2013735837","doi":"https://doi.org/10.1109/icca.2013.6564876","mag":"2013735837"},"language":"en","primary_location":{"id":"doi:10.1109/icca.2013.6564876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca.2013.6564876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 10th IEEE International Conference on Control and Automation (ICCA)","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/A5053064477","display_name":"Yunong Zhang","orcid":"https://orcid.org/0000-0002-2228-0395"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunong Zhang","raw_affiliation_strings":["School of Information Science and Technology, Sun Yat-sen University, Guangzhou, Guangdong, China","School of Information Science and Technology, Sun Yat-sen University (SYSU), Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Sun Yat-sen University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Information Science and Technology, Sun Yat-sen University (SYSU), Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028192493","display_name":"Wenchao Lao","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenchao Lao","raw_affiliation_strings":["School of Information Science and Technology, Sun Yat-sen University, Guangzhou, Guangdong, China","School of Information Science and Technology, Sun Yat-sen University (SYSU), Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Sun Yat-sen University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Information Science and Technology, Sun Yat-sen University (SYSU), Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100703636","display_name":"Long Jin","orcid":"https://orcid.org/0000-0002-5329-5098"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Jin","raw_affiliation_strings":["School of Information Science and Technology, Sun Yat-sen University, Guangzhou, Guangdong, China","School of Information Science and Technology, Sun Yat-sen University (SYSU), Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Sun Yat-sen University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Information Science and Technology, Sun Yat-sen University (SYSU), Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103440297","display_name":"Tinhao Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tinhao Chen","raw_affiliation_strings":["School of Information Science and Technology, Sun Yat-sen University, Guangzhou, Guangdong, China","School of Information Science and Technology, Sun Yat-sen University (SYSU), Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Sun Yat-sen University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Information Science and Technology, Sun Yat-sen University (SYSU), Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100611029","display_name":"Jinrong Liu","orcid":"https://orcid.org/0000-0003-3492-6445"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinrong Liu","raw_affiliation_strings":["School of Information Science and Technology, Sun Yat-sen University, Guangzhou, Guangdong, China","School of Information Science and Technology, Sun Yat-sen University (SYSU), Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Sun Yat-sen University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Information Science and Technology, Sun Yat-sen University (SYSU), Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5053064477"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":1.4427,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.85333689,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1312","last_page":"1317"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9896000027656555,"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":0.9767000079154968,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6894254684448242},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6688272356987},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5814151763916016},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5441821813583374},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5362825393676758},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5014064311981201},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4839654266834259},{"id":"https://openalex.org/keywords/type","display_name":"Type (biology)","score":0.4308279752731323},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.42731690406799316},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3322710394859314},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2968606650829315},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2625540494918823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2102353572845459},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13151004910469055}],"concepts":[{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6894254684448242},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6688272356987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5814151763916016},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5441821813583374},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5362825393676758},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5014064311981201},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4839654266834259},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.4308279752731323},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.42731690406799316},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3322710394859314},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2968606650829315},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2625540494918823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2102353572845459},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13151004910469055},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icca.2013.6564876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca.2013.6564876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 10th IEEE International Conference on Control and Automation (ICCA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1581297233","https://openalex.org/W1586335931","https://openalex.org/W2011227258","https://openalex.org/W2030888282","https://openalex.org/W2035466625","https://openalex.org/W2045585046","https://openalex.org/W2090094690","https://openalex.org/W2102492019","https://openalex.org/W2122568838","https://openalex.org/W2152619728","https://openalex.org/W2153787847","https://openalex.org/W2156003784","https://openalex.org/W2159164703","https://openalex.org/W2166116275","https://openalex.org/W2478513439","https://openalex.org/W4230199773"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W3092506759","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W120741642","https://openalex.org/W138569904","https://openalex.org/W2390914021","https://openalex.org/W1566614651"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,29],"novel":[4],"WASD":[5,58,93],"(weights":[6,42],"and":[7,25,31,46,52,64,74,97],"structure":[8,51,67],"determination)":[9,44],"algorithm":[10,59,94],"is":[11,36],"presented":[12],"for":[13],"the":[14,40,47,50,53,57,62,65,69,78,85,88,92],"power-activation":[15],"feed-forward":[16],"neuronet":[17],"(PFN)":[18],"to":[19,95],"solve":[20],"monthly":[21,99],"time":[22,100],"series":[23,101],"modeling":[24],"forecasting":[26,104],"problems.":[27],"Besides,":[28],"simple":[30],"effective":[32],"data":[33],"preprocessing":[34],"approach":[35],"employed.":[37],"Based":[38],"on":[39],"WDD":[41],"direct":[43],"method":[45],"relationship":[48],"between":[49],"performance":[54],"of":[55,72,77,87],"PFN,":[56],"can":[60],"determine":[61],"weights":[63],"optimal":[66,70],"(i.e.,":[68],"numbers":[71],"input-layer":[73],"hidden-layer":[75],"neurons)":[76],"PFN.":[79],"Numerical":[80],"experiment":[81],"results":[82],"further":[83],"substantiate":[84],"superiority":[86],"PFN":[89],"equipped":[90],"with":[91],"model":[96],"forecast":[98],"from":[102],"M":[103],"competition.":[105]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
