{"id":"https://openalex.org/W2146648623","doi":"https://doi.org/10.1109/icsmc.2009.5346774","title":"A sensitivity-based training algorithm with architecture adjusting for madalines","display_name":"A sensitivity-based training algorithm with architecture adjusting for madalines","publication_year":2009,"publication_date":"2009-10-01","ids":{"openalex":"https://openalex.org/W2146648623","doi":"https://doi.org/10.1109/icsmc.2009.5346774","mag":"2146648623"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2009.5346774","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2009.5346774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Systems, Man and Cybernetics","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/A5000300924","display_name":"Yanjun Liu","orcid":"https://orcid.org/0000-0002-3086-3785"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanjun Liu","raw_affiliation_strings":["Institute of Pattern Recognition and Intelligent System, Hohai University, HHU, Nanjing, China","Institute of Pattern Recognition and Intelligent System, Hohai University, Nangjing, P R China"],"affiliations":[{"raw_affiliation_string":"Institute of Pattern Recognition and Intelligent System, Hohai University, HHU, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]},{"raw_affiliation_string":"Institute of Pattern Recognition and Intelligent System, Hohai University, Nangjing, P R China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102017246","display_name":"Xiaoqin Zeng","orcid":"https://orcid.org/0000-0002-4687-901X"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqin Zeng","raw_affiliation_strings":["Institute of Pattern Recognition and Intelligent System, Hohai University, HHU, Nanjing, China","Institute of Pattern Recognition and Intelligent System, Hohai University, Nangjing, P R China"],"affiliations":[{"raw_affiliation_string":"Institute of Pattern Recognition and Intelligent System, Hohai University, HHU, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]},{"raw_affiliation_string":"Institute of Pattern Recognition and Intelligent System, Hohai University, Nangjing, P R China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101902908","display_name":"Shuiming Zhong","orcid":"https://orcid.org/0000-0002-1949-7956"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuiming Zhong","raw_affiliation_strings":["Institute of Pattern Recognition and Intelligent System, Hohai University, HHU, Nanjing, China","Institute of Pattern Recognition and Intelligent System, Hohai University, Nangjing, P R China"],"affiliations":[{"raw_affiliation_string":"Institute of Pattern Recognition and Intelligent System, Hohai University, HHU, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]},{"raw_affiliation_string":"Institute of Pattern Recognition and Intelligent System, Hohai University, Nangjing, P R China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072246520","display_name":"Shengli Wu","orcid":"https://orcid.org/0000-0003-2008-1736"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shengli Wu","raw_affiliation_strings":["School of Computing and Mathematics, University of Ulster, UK","School of Computing and Mathematics, University of Ulster, United Kingdom#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Computing and Mathematics, University of Ulster, UK","institution_ids":["https://openalex.org/I138801177"]},{"raw_affiliation_string":"School of Computing and Mathematics, University of Ulster, United Kingdom#TAB#","institution_ids":["https://openalex.org/I138801177"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000300924"],"corresponding_institution_ids":["https://openalex.org/I163340411"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13747149,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4586","last_page":"4591"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T12676","display_name":"Machine Learning and ELM","score":0.9976999759674072,"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/T10057","display_name":"Face and Expression Recognition","score":0.9886000156402588,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7799963355064392},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.738469660282135},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.6685130596160889},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6648716330528259},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6183668375015259},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5301628708839417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5144372582435608},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48718923330307007},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.4373038709163666},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.430378794670105},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.42004331946372986},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41846412420272827},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09412479400634766},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.0747208297252655}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7799963355064392},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.738469660282135},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6685130596160889},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6648716330528259},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6183668375015259},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5301628708839417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5144372582435608},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48718923330307007},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.4373038709163666},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.430378794670105},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.42004331946372986},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41846412420272827},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09412479400634766},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0747208297252655},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2009.5346774","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2009.5346774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Systems, Man and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W655216203","https://openalex.org/W1862619709","https://openalex.org/W1974527612","https://openalex.org/W1976841235","https://openalex.org/W2152619728","https://openalex.org/W2160690336","https://openalex.org/W2167677193","https://openalex.org/W6621662059"],"related_works":["https://openalex.org/W230091440","https://openalex.org/W2233261550","https://openalex.org/W3162204513","https://openalex.org/W2810751659","https://openalex.org/W258997015","https://openalex.org/W2997094352","https://openalex.org/W3216976533","https://openalex.org/W2371138613","https://openalex.org/W100620283","https://openalex.org/W3131277441"],"abstract_inverted_index":{"How":[0],"to":[1,35,59,65],"design":[2],"proper":[3],"architectures":[4],"of":[5,25,41,82],"neural":[6,17,26,32,57],"networks":[7,27,58],"for":[8,55],"solving":[9],"given":[10],"problems":[11],"is":[12,51,115],"an":[13],"important":[14],"issue":[15],"in":[16,69],"network":[18],"research.":[19],"Nowadays,":[20],"the":[21,45,49,70],"existing":[22],"training":[23,37,56,71,80],"algorithms":[24],"only":[28,87],"focus":[29],"on":[30],"adjusting":[31,92],"networks'":[33,46],"weights":[34],"improve":[36],"accuracy,":[38],"and":[39,63,104],"few":[40],"them":[42],"adaptively":[43],"adjust":[44],"architecture.":[47],"However,":[48],"architecture":[50,91,103],"indeed":[52],"very":[53],"critical":[54],"have":[60,110],"high":[61],"performance":[62],"needs":[64],"be":[66],"coped":[67],"with":[68,101],"process.":[72],"In":[73],"this":[74],"paper,":[75],"we":[76],"present":[77],"a":[78],"new":[79],"algorithm":[81,96,114],"Madalines,":[83],"which":[84],"takes":[85],"not":[86],"weight":[88],"but":[89],"also":[90],"into":[93],"consideration.":[94],"The":[95],"can":[97],"thus":[98],"train":[99],"Madalines":[100],"smaller":[102],"higher":[105],"generalization":[106],"ability.":[107],"Experimental":[108],"results":[109],"demonstrated":[111],"that":[112],"our":[113],"effective.":[116]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}