{"id":"https://openalex.org/W2001626771","doi":"https://doi.org/10.1142/s0218001411009111","title":"FAST LEARNING ALGORITHM OF WAVELET NETWORK BASED ON FAST WAVELET TRANSFORM","display_name":"FAST LEARNING ALGORITHM OF WAVELET NETWORK BASED ON FAST WAVELET TRANSFORM","publication_year":2011,"publication_date":"2011-12-01","ids":{"openalex":"https://openalex.org/W2001626771","doi":"https://doi.org/10.1142/s0218001411009111","mag":"2001626771"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001411009111","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001411009111","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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/A5041655108","display_name":"Olfa Jemai","orcid":"https://orcid.org/0009-0000-9037-4169"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"OLFA JEMAI","raw_affiliation_strings":["Higher Institute of Computer Sciences, Road El Jorf, Km 22.5 \u2014 4119 Medenine, Tunisia","REGIM: REsearch Group on Intelligent Machines, University of Sfax, National Engineering School of Sfax (ENIS), BP 1173, Sfax, 3038, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Higher Institute of Computer Sciences, Road El Jorf, Km 22.5 \u2014 4119 Medenine, Tunisia","institution_ids":[]},{"raw_affiliation_string":"REGIM: REsearch Group on Intelligent Machines, University of Sfax, National Engineering School of Sfax (ENIS), BP 1173, Sfax, 3038, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074838703","display_name":"Mourad Zaied","orcid":"https://orcid.org/0000-0003-4013-5834"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"MOURAD ZAIED","raw_affiliation_strings":["REGIM: REsearch Group on Intelligent Machines, National Engineering School of Sfax (ENIS), Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"REGIM: REsearch Group on Intelligent Machines, National Engineering School of Sfax (ENIS), Tunisia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036168795","display_name":"Chokri Ben Amar","orcid":"https://orcid.org/0000-0002-0129-7577"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"CHOKRI BEN AMAR","raw_affiliation_strings":["REGIM: REsearch Group on Intelligent Machines, National Engineering School of Sfax (ENIS), Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"REGIM: REsearch Group on Intelligent Machines, National Engineering School of Sfax (ENIS), Tunisia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053613060","display_name":"Adel M. Alimi","orcid":"https://orcid.org/0000-0002-0642-3384"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"MOHAMED ADEL ALIMI","raw_affiliation_strings":["REGIM: REsearch Group on Intelligent Machines, National Engineering School of Sfax (ENIS), Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"REGIM: REsearch Group on Intelligent Machines, National Engineering School of Sfax (ENIS), Tunisia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.6814,"has_fulltext":false,"cited_by_count":60,"citation_normalized_percentile":{"value":0.95330207,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"25","issue":"08","first_page":"1297","last_page":"1319"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9990000128746033,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9975000023841858,"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/computer-science","display_name":"Computer science","score":0.7187351584434509},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.7022014856338501},{"id":"https://openalex.org/keywords/cascade-algorithm","display_name":"Cascade algorithm","score":0.5695272088050842},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5606038570404053},{"id":"https://openalex.org/keywords/stationary-wavelet-transform","display_name":"Stationary wavelet transform","score":0.5300576090812683},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.49796605110168457},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.48727357387542725},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.47582533955574036},{"id":"https://openalex.org/keywords/wake-sleep-algorithm","display_name":"Wake-sleep algorithm","score":0.45430004596710205},{"id":"https://openalex.org/keywords/second-generation-wavelet-transform","display_name":"Second-generation wavelet transform","score":0.42021408677101135},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.40847745537757874},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36758148670196533},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2945713698863983},{"id":"https://openalex.org/keywords/generalization-error","display_name":"Generalization error","score":0.060343384742736816}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7187351584434509},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7022014856338501},{"id":"https://openalex.org/C88829872","wikidata":"https://www.wikidata.org/wiki/Q5048176","display_name":"Cascade algorithm","level":5,"score":0.5695272088050842},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5606038570404053},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.5300576090812683},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.49796605110168457},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.48727357387542725},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.47582533955574036},{"id":"https://openalex.org/C17061570","wikidata":"https://www.wikidata.org/wiki/Q7960888","display_name":"Wake-sleep algorithm","level":4,"score":0.45430004596710205},{"id":"https://openalex.org/C111350171","wikidata":"https://www.wikidata.org/wiki/Q7443700","display_name":"Second-generation wavelet transform","level":5,"score":0.42021408677101135},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.40847745537757874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36758148670196533},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2945713698863983},{"id":"https://openalex.org/C117765406","wikidata":"https://www.wikidata.org/wiki/Q5362437","display_name":"Generalization error","level":3,"score":0.060343384742736816},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","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},{"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:10.1142/s0218001411009111","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001411009111","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1512748702","https://openalex.org/W1531130419","https://openalex.org/W1561917463","https://openalex.org/W1574431776","https://openalex.org/W1943520381","https://openalex.org/W1984439507","https://openalex.org/W2005795485","https://openalex.org/W2009511154","https://openalex.org/W2026651112","https://openalex.org/W2039180933","https://openalex.org/W2047007118","https://openalex.org/W2048388799","https://openalex.org/W2062024414","https://openalex.org/W2085686600","https://openalex.org/W2088950131","https://openalex.org/W2098386213","https://openalex.org/W2099369038","https://openalex.org/W2112147909","https://openalex.org/W2133735065","https://openalex.org/W2134055945","https://openalex.org/W2137226063","https://openalex.org/W2142334564","https://openalex.org/W2143718527","https://openalex.org/W2157164240","https://openalex.org/W2158076175","https://openalex.org/W2171506994","https://openalex.org/W2293747114","https://openalex.org/W2394543221","https://openalex.org/W2492794003","https://openalex.org/W4255272544"],"related_works":["https://openalex.org/W2085792030","https://openalex.org/W2059234650","https://openalex.org/W1918078477","https://openalex.org/W2391053410","https://openalex.org/W2144834862","https://openalex.org/W1588899229","https://openalex.org/W2001281573","https://openalex.org/W1974952288","https://openalex.org/W2392933489","https://openalex.org/W2392326236"],"abstract_inverted_index":{"In":[0],"this":[1,66],"paper,":[2],"a":[3],"novel":[4,99],"learning":[5,73,100,109],"algorithm":[6,54,81,101],"of":[7,39,87,125,132],"wavelet":[8],"networks":[9],"based":[10],"on":[11],"the":[12,31,37,40,44,51,63,72,79,91,98,108,126],"Fast":[13],"Wavelet":[14],"Transform":[15],"(FWT)":[16],"is":[17,75,82,119],"proposed.":[18],"It":[19],"has":[20],"many":[21],"advantages":[22],"compared":[23],"to":[24,43,61,89,106],"other":[25],"algorithms,":[26],"in":[27,33,130],"which":[28,59],"we":[29,95],"solve":[30],"problem":[32],"previous":[34],"works,":[35],"when":[36,71],"weights":[38],"hidden":[41],"layer":[42,46],"output":[45],"are":[47],"determined":[48],"by":[49,56,84,102],"applying":[50],"back":[52],"propagation":[53],"or":[55],"direct":[57],"solution":[58],"requires":[60],"compute":[62,90],"matrix":[64],"inversion,":[65],"may":[67],"cause":[68],"intensive":[69],"computation":[70],"data":[74],"too":[76],"large.":[77],"However,":[78],"new":[80],"realized":[83],"iterative":[85],"application":[86],"FWT":[88],"connection":[92],"weights.":[93],"Furthermore,":[94],"have":[96,114],"extended":[97],"using":[103],"Levenberg\u2013Marquardt":[104],"method":[105],"optimize":[107],"functions.":[110],"The":[111],"experimental":[112],"results":[113],"demonstrated":[115],"that":[116],"our":[117],"model":[118],"remarkably":[120],"more":[121],"refreshing":[122],"than":[123],"some":[124],"previously":[127],"established":[128],"models":[129],"terms":[131],"both":[133],"speed":[134],"and":[135],"efficiency.":[136]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":21},{"year":2014,"cited_by_count":12},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
