{"id":"https://openalex.org/W2091669813","doi":"https://doi.org/10.1142/s012906579200022x","title":"A MEASURE OF RELATIVE ROBUSTNESS FOR FEEDFORWARD NEURAL NETWORKS SUBJECT TO SMALL INPUT PERTURBATIONS","display_name":"A MEASURE OF RELATIVE ROBUSTNESS FOR FEEDFORWARD NEURAL NETWORKS SUBJECT TO SMALL INPUT PERTURBATIONS","publication_year":1992,"publication_date":"1992-01-01","ids":{"openalex":"https://openalex.org/W2091669813","doi":"https://doi.org/10.1142/s012906579200022x","mag":"2091669813"},"language":"en","primary_location":{"id":"doi:10.1142/s012906579200022x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s012906579200022x","pdf_url":null,"source":{"id":"https://openalex.org/S197665576","display_name":"International Journal of Neural Systems","issn_l":"0129-0657","issn":["0129-0657","1793-6462"],"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 Neural Systems","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/A5051803209","display_name":"Mo\u2013Yuen Chow","orcid":"https://orcid.org/0000-0001-9090-3614"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"MO-YUEN CHOW","raw_affiliation_strings":["Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC 27695\u20137911, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC 27695\u20137911, USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080492396","display_name":"SUE OI YEE","orcid":null},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"SUE OI YEE","raw_affiliation_strings":["Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC 27695\u20137911, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC 27695\u20137911, USA","institution_ids":["https://openalex.org/I137902535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5051803209"],"corresponding_institution_ids":["https://openalex.org/I137902535"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.24308184,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"03","issue":"03","first_page":"291","last_page":"299"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9972000122070312,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/robustness","display_name":"Robustness (evolution)","score":0.852994441986084},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.776709794998169},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7152088284492493},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.6224358081817627},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.6081807613372803},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5554759502410889},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.45400571823120117},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.42404115200042725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40482819080352783},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.22964265942573547},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.15607264637947083},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1197950541973114},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.06584569811820984}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.852994441986084},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.776709794998169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7152088284492493},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.6224358081817627},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.6081807613372803},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5554759502410889},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.45400571823120117},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.42404115200042725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40482819080352783},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.22964265942573547},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.15607264637947083},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1197950541973114},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.06584569811820984},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s012906579200022x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s012906579200022x","pdf_url":null,"source":{"id":"https://openalex.org/S197665576","display_name":"International Journal of Neural Systems","issn_l":"0129-0657","issn":["0129-0657","1793-6462"],"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 Neural Systems","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":0,"referenced_works":[],"related_works":["https://openalex.org/W2115072676","https://openalex.org/W4311212821","https://openalex.org/W2045727192","https://openalex.org/W2102065768","https://openalex.org/W1529660427","https://openalex.org/W3121106353","https://openalex.org/W2090361488","https://openalex.org/W2158578859","https://openalex.org/W1595652908","https://openalex.org/W2089093251"],"abstract_inverted_index":{"The":[0,118],"relative":[1,35,76,90,125],"robustness":[2,37,78,127],"of":[3,28,88,92,111,120],"artificial":[4],"neural":[5,42,55,95,112,136],"networks":[6,113,137],"subject":[7],"to":[8,32,52,72,133],"small":[9],"input":[10],"perturbations":[11],"(e.g.":[12],"measurement":[13],"noises)":[14],"is":[15,50,84],"an":[16,85],"important":[17],"issue":[18],"in":[19,63,81,98,108],"real":[20,115],"world":[21],"applications.":[22,117,141],"This":[23],"paper":[24,83],"uses":[25],"the":[26,75,89,109],"concept":[27,119],"input-output":[29,121],"sensitivity":[30,122],"analysis":[31,123],"derive":[33],"a":[34],"network":[36,43,56,77,96,126],"measure":[38,49,79,104,128],"for":[39,59,114,139],"different":[40,54,93],"feedforward":[41,94],"configurations.":[44],"For":[45],"illustration":[46],"purposes,":[47],"this":[48,82,103],"used":[51],"compare":[53],"configurations":[57,97],"designed":[58,138],"detecting":[60],"incipient":[61],"faults":[62],"induction":[64],"motors.":[65],"Analytical":[66],"and":[67,101,124],"simulation":[68],"results":[69],"are":[70],"presented":[71,129],"show":[73],"that":[74,102],"derived":[80],"effective":[86],"indicator":[87],"performance":[91],"noisy":[99],"environments":[100],"should":[105],"be":[106,131],"considered":[107],"design":[110],"time":[116],"can":[130],"extended":[132],"analyze":[134],"other":[135],"on-line":[140]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}