{"id":"https://openalex.org/W2587394899","doi":"https://doi.org/10.1109/smc.2016.7844651","title":"An adaptation module with growing and adjustment RBFNN using a Long-Term Memory","display_name":"An adaptation module with growing and adjustment RBFNN using a Long-Term Memory","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2587394899","doi":"https://doi.org/10.1109/smc.2016.7844651","mag":"2587394899"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2016.7844651","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2016.7844651","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5027717061","display_name":"Lobna Haddad","orcid":null},"institutions":[{"id":"https://openalex.org/I4210086032","display_name":"Institut Sup\u00e9rieur des \u00c9tudes Technologiques de Gafsa","ror":"https://ror.org/00cvp0686","country_code":"TN","type":"education","lineage":["https://openalex.org/I4210086032"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Lobna Haddad","raw_affiliation_strings":["REGIM: REsearch Group on Intelligent Machines, Higher Institute of Technological Studies of Rades, Tunis, Tunisia"],"affiliations":[{"raw_affiliation_string":"REGIM: REsearch Group on Intelligent Machines, Higher Institute of Technological Studies of Rades, Tunis, Tunisia","institution_ids":["https://openalex.org/I4210086032"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027895815","display_name":"Tarek M. Hamdani","orcid":"https://orcid.org/0000-0002-8243-6056"},"institutions":[{"id":"https://openalex.org/I4210159412","display_name":"Intelligent Machines (Sweden)","ror":"https://ror.org/05nzk9q32","country_code":"SE","type":"company","lineage":["https://openalex.org/I4210159412"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Tarek M. Hamdani","raw_affiliation_strings":["REGIM: REsearch Group on Intelligent Machines, College Of Science And arts at Al-Ula, KSA"],"affiliations":[{"raw_affiliation_string":"REGIM: REsearch Group on Intelligent Machines, College Of Science And arts at Al-Ula, KSA","institution_ids":["https://openalex.org/I4210159412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053613060","display_name":"Adel M. Alimi","orcid":"https://orcid.org/0000-0002-0642-3384"},"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":"Adel M. Alimi","raw_affiliation_strings":["REGIM: REsearch Group on Intelligent Machines, National Engineering School of Sfax, Sfax, Tunisia"],"affiliations":[{"raw_affiliation_string":"REGIM: REsearch Group on Intelligent Machines, National Engineering School of Sfax, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027717061"],"corresponding_institution_ids":["https://openalex.org/I4210086032"],"apc_list":null,"apc_paid":null,"fwci":0.167,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60818635,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9","issue":null,"first_page":"002723","last_page":"002728"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9995999932289124,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.996999979019165,"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/T11309","display_name":"Music and Audio Processing","score":0.9958999752998352,"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/computer-science","display_name":"Computer science","score":0.8358128666877747},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.7848069667816162},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6409104466438293},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5842730402946472},{"id":"https://openalex.org/keywords/handwriting","display_name":"Handwriting","score":0.5363491773605347},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5058166980743408},{"id":"https://openalex.org/keywords/handwriting-recognition","display_name":"Handwriting recognition","score":0.4918859004974365},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4778116047382355},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4640941023826599},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3848762512207031},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35847193002700806},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35776716470718384},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.25958603620529175}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8358128666877747},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.7848069667816162},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6409104466438293},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5842730402946472},{"id":"https://openalex.org/C2779386606","wikidata":"https://www.wikidata.org/wiki/Q2393642","display_name":"Handwriting","level":2,"score":0.5363491773605347},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5058166980743408},{"id":"https://openalex.org/C112640561","wikidata":"https://www.wikidata.org/wiki/Q2440634","display_name":"Handwriting recognition","level":3,"score":0.4918859004974365},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4778116047382355},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4640941023826599},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3848762512207031},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35847193002700806},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35776716470718384},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.25958603620529175},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2016.7844651","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2016.7844651","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W13538861","https://openalex.org/W1628507877","https://openalex.org/W1849359136","https://openalex.org/W1974299459","https://openalex.org/W1999380490","https://openalex.org/W2011214136","https://openalex.org/W2051227896","https://openalex.org/W2053084739","https://openalex.org/W2055934669","https://openalex.org/W2077816622","https://openalex.org/W2077863651","https://openalex.org/W2109394448","https://openalex.org/W2110000322","https://openalex.org/W2118980686","https://openalex.org/W2124083631","https://openalex.org/W2125540494","https://openalex.org/W2128652790","https://openalex.org/W2135967033","https://openalex.org/W2136435181","https://openalex.org/W2137008644","https://openalex.org/W2142614730","https://openalex.org/W2157611410","https://openalex.org/W2162647716","https://openalex.org/W6663356854","https://openalex.org/W6678155462"],"related_works":["https://openalex.org/W3003949997","https://openalex.org/W2110485610","https://openalex.org/W3199359807","https://openalex.org/W3047607512","https://openalex.org/W4390983538","https://openalex.org/W2744690920","https://openalex.org/W2787081548","https://openalex.org/W183832189","https://openalex.org/W2536878212","https://openalex.org/W3005534356"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,65],"proposed":[4,115],"a":[5,16,28,52,96,105],"writer":[6],"adaptation":[7,12,25,94],"system":[8],"based":[9],"on":[10],"an":[11,39],"module":[13,26],"that":[14,35],"is":[15,27,36,76,82,90,126],"plug-in":[17],"for":[18],"any":[19],"writer-independent":[20,97],"handwriting":[21,98],"recognition":[22,99],"systems.":[23],"The":[24,74,80],"radial":[29],"basis":[30],"function":[31],"neural":[32],"network":[33],"(RBF-NN)":[34],"built":[37],"using":[38,104],"incremental":[40],"learning":[41,88],"algorithm":[42,45,89,121],"named":[43,108],"GALTM-AM":[44,50,120],"(Growing-Adjustment":[46],"with":[47,56],"Long-Term":[48],"Memory).":[49],"train":[51],"new":[53,87],"given":[54],"data":[55,59],"some":[57],"LTM":[58,72],"to":[60,69],"suppress":[61],"the":[62,71,93,102,111,114,123],"interference.":[63],"Therefore,":[64],"design":[66],"two":[67],"procedures":[68],"manage":[70],"data.":[73],"first":[75],"produce":[77],"and":[78,84],"store.":[79],"second":[81],"retrieve":[83],"learn.":[85],"This":[86],"evaluated":[91],"by":[92],"of":[95,113,119],"system.":[100],"Moreover,":[101],"results":[103],"benchmark":[106],"database":[107],"LaViola":[109],"prove":[110],"efficiency":[112],"GALTM-AM.":[116],"Performance":[117],"comparison":[118],"over":[122],"existing":[124],"approaches":[125],"presented.":[127]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}