{"id":"https://openalex.org/W1968588271","doi":"https://doi.org/10.1109/icmlc.2010.5580843","title":"Sensitivity analysis of multilayer percetron based on elastic function","display_name":"Sensitivity analysis of multilayer percetron based on elastic function","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W1968588271","doi":"https://doi.org/10.1109/icmlc.2010.5580843","mag":"1968588271"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2010.5580843","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5580843","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Machine Learning 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/A5102331774","display_name":"Chun-Guo Li","orcid":null},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chun-Guo Li","raw_affiliation_strings":["Machine Learning Center, Faculty of Mathematics and Computer Science, Hebei University, Baoding, China","Machine Learning Center, Faculty of Mathematics and Computer Science, Hebei University, Baoding 071002, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Machine Learning Center, Faculty of Mathematics and Computer Science, Hebei University, Baoding, China","institution_ids":["https://openalex.org/I43337087"]},{"raw_affiliation_string":"Machine Learning Center, Faculty of Mathematics and Computer Science, Hebei University, Baoding 071002, China#TAB#","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100398343","display_name":"Haifeng Li","orcid":"https://orcid.org/0000-0002-2534-2299"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai-Feng Li","raw_affiliation_strings":["Department of Educational Administration, Hebei University, Baoding, China","Department of Educational Administration, Hebei University, Baoding 071002, China"],"affiliations":[{"raw_affiliation_string":"Department of Educational Administration, Hebei University, Baoding, China","institution_ids":["https://openalex.org/I43337087"]},{"raw_affiliation_string":"Department of Educational Administration, Hebei University, Baoding 071002, China","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048121429","display_name":"Yu-Fen Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Fen Zhang","raw_affiliation_strings":["Machine Learning Center, Faculty of Mathematics and Computer Science, Hebei University, Baoding, China","Machine Learning Center, Faculty of Mathematics and Computer Science, Hebei University, Baoding 071002, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Machine Learning Center, Faculty of Mathematics and Computer Science, Hebei University, Baoding, China","institution_ids":["https://openalex.org/I43337087"]},{"raw_affiliation_string":"Machine Learning Center, Faculty of Mathematics and Computer Science, Hebei University, Baoding 071002, China#TAB#","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049765122","display_name":"Qunfeng Zhang","orcid":"https://orcid.org/0000-0003-1079-2358"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qun-Feng Zhang","raw_affiliation_strings":["Machine Learning Center, Faculty of Mathematics and Computer Science, Hebei University, Baoding, China","Machine Learning Center, Faculty of Mathematics and Computer Science, Hebei University, Baoding 071002, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Machine Learning Center, Faculty of Mathematics and Computer Science, Hebei University, Baoding, China","institution_ids":["https://openalex.org/I43337087"]},{"raw_affiliation_string":"Machine Learning Center, Faculty of Mathematics and Computer Science, Hebei University, Baoding 071002, China#TAB#","institution_ids":["https://openalex.org/I43337087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102331774"],"corresponding_institution_ids":["https://openalex.org/I43337087"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.0693099,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"19","issue":null,"first_page":"1490","last_page":"1493"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9991999864578247,"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":0.9991999864578247,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9442999958992004,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.932200014591217,"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/sensitivity","display_name":"Sensitivity (control systems)","score":0.8752994537353516},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6954840421676636},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.629898190498352},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6163570880889893},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5990433692932129},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4944424629211426},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.49269774556159973},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.48378893733024597},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4030892550945282},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33725982904434204},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29773449897766113},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.28374436497688293},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09665799140930176},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.09310147166252136},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08086135983467102}],"concepts":[{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.8752994537353516},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6954840421676636},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.629898190498352},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6163570880889893},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5990433692932129},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4944424629211426},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.49269774556159973},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.48378893733024597},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4030892550945282},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33725982904434204},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29773449897766113},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28374436497688293},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09665799140930176},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.09310147166252136},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08086135983467102},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2010.5580843","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5580843","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Machine Learning and Cybernetics","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":21,"referenced_works":["https://openalex.org/W1522474508","https://openalex.org/W1981984665","https://openalex.org/W2038128936","https://openalex.org/W2065292742","https://openalex.org/W2091633396","https://openalex.org/W2103496339","https://openalex.org/W2104254540","https://openalex.org/W2106076725","https://openalex.org/W2107808739","https://openalex.org/W2109681800","https://openalex.org/W2110480233","https://openalex.org/W2114027591","https://openalex.org/W2114175753","https://openalex.org/W2124776405","https://openalex.org/W2129664936","https://openalex.org/W2132673159","https://openalex.org/W2139499553","https://openalex.org/W2167677193","https://openalex.org/W2167901303","https://openalex.org/W2169892349","https://openalex.org/W2536534367"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W3009369890","https://openalex.org/W4312490297","https://openalex.org/W2062212388"],"abstract_inverted_index":{"The":[0,52],"sensitivity":[1,18,34,53],"analysis":[2],"can":[3],"help":[4],"to":[5,15,25],"construct":[6],"a":[7,33],"tightly":[8],"neural":[9,28],"network.":[10,29,51],"There":[11],"are":[12,56],"several":[13],"methods":[14],"define":[16],"the":[17,26,43,46,49],"of":[19,45,48],"input":[20],"and":[21,60],"weight":[22],"for":[23,58],"perturbations":[24],"trained":[27],"This":[30,40],"paper":[31],"proposed":[32],"definition":[35,41],"based":[36],"on":[37],"elastic":[38],"function.":[39],"considers":[42],"measure":[44],"variable":[47],"reference":[50],"calculating":[54],"formulae":[55],"deduced":[57],"perceptron":[59],"MLP.":[61]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}