{"id":"https://openalex.org/W2171990475","doi":"https://doi.org/10.1109/ijcnn.2008.4634002","title":"An estimate of impulse bounds in delayed BAM neural networks","display_name":"An estimate of impulse bounds in delayed BAM neural networks","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2171990475","doi":"https://doi.org/10.1109/ijcnn.2008.4634002","mag":"2171990475"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2008.4634002","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4634002","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","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/A5100460917","display_name":"Hui Wang","orcid":"https://orcid.org/0000-0003-2633-6015"},"institutions":[{"id":"https://openalex.org/I2802584641","display_name":"Leshan Normal University","ror":"https://ror.org/036cvz290","country_code":"CN","type":"education","lineage":["https://openalex.org/I2802584641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hui Wang","raw_affiliation_strings":["Department of Mathematics, Leshan Teachers School, Sichuan, and College of Automation, University of Science and Technology, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Leshan Teachers School, Sichuan, and College of Automation, University of Science and Technology, Chengdu, China","institution_ids":["https://openalex.org/I2802584641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004761966","display_name":"Chuandong Li","orcid":"https://orcid.org/0000-0001-6155-4849"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuandong Li","raw_affiliation_strings":["Department of Computer, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059925149","display_name":"Yongguang Yu","orcid":"https://orcid.org/0000-0002-9336-0376"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongguang Yu","raw_affiliation_strings":["Department of Mathemtics, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathemtics, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100460917"],"corresponding_institution_ids":["https://openalex.org/I2802584641"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18975502,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"159","issue":null,"first_page":"1552","last_page":"1555"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11347","display_name":"Neural Networks Stability and Synchronization","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11347","display_name":"Neural Networks Stability and Synchronization","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.9995999932289124,"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/impulse","display_name":"Impulse (physics)","score":0.8595495820045471},{"id":"https://openalex.org/keywords/exponential-stability","display_name":"Exponential stability","score":0.7432875633239746},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5508652925491333},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4948717951774597},{"id":"https://openalex.org/keywords/bidirectional-associative-memory","display_name":"Bidirectional associative memory","score":0.4880317747592926},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.47791677713394165},{"id":"https://openalex.org/keywords/finite-impulse-response","display_name":"Finite impulse response","score":0.45586538314819336},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44852179288864136},{"id":"https://openalex.org/keywords/exponential-growth","display_name":"Exponential growth","score":0.4318607449531555},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4190516471862793},{"id":"https://openalex.org/keywords/content-addressable-memory","display_name":"Content-addressable memory","score":0.38710254430770874},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3396577835083008},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.2727065086364746},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22230961918830872},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17057326436042786},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.08617734909057617},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08431226015090942}],"concepts":[{"id":"https://openalex.org/C70836080","wikidata":"https://www.wikidata.org/wiki/Q837940","display_name":"Impulse (physics)","level":2,"score":0.8595495820045471},{"id":"https://openalex.org/C167964875","wikidata":"https://www.wikidata.org/wiki/Q17011487","display_name":"Exponential stability","level":3,"score":0.7432875633239746},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5508652925491333},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4948717951774597},{"id":"https://openalex.org/C120620853","wikidata":"https://www.wikidata.org/wiki/Q506355","display_name":"Bidirectional associative memory","level":4,"score":0.4880317747592926},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.47791677713394165},{"id":"https://openalex.org/C198386975","wikidata":"https://www.wikidata.org/wiki/Q117785","display_name":"Finite impulse response","level":2,"score":0.45586538314819336},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44852179288864136},{"id":"https://openalex.org/C75235859","wikidata":"https://www.wikidata.org/wiki/Q582659","display_name":"Exponential growth","level":2,"score":0.4318607449531555},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4190516471862793},{"id":"https://openalex.org/C53442348","wikidata":"https://www.wikidata.org/wiki/Q745101","display_name":"Content-addressable memory","level":3,"score":0.38710254430770874},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3396577835083008},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.2727065086364746},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22230961918830872},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17057326436042786},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.08617734909057617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08431226015090942},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2008.4634002","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4634002","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","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":18,"referenced_works":["https://openalex.org/W1779118659","https://openalex.org/W1972478246","https://openalex.org/W1984588901","https://openalex.org/W2009492006","https://openalex.org/W2030542702","https://openalex.org/W2044796696","https://openalex.org/W2064924023","https://openalex.org/W2084820442","https://openalex.org/W2093053585","https://openalex.org/W2095425517","https://openalex.org/W2100337613","https://openalex.org/W2110030163","https://openalex.org/W2111926818","https://openalex.org/W2137867234","https://openalex.org/W2144359959","https://openalex.org/W2154102142","https://openalex.org/W3143873441","https://openalex.org/W4233273122"],"related_works":["https://openalex.org/W1987836535","https://openalex.org/W4321273133","https://openalex.org/W2109892802","https://openalex.org/W1503438809","https://openalex.org/W1536116856","https://openalex.org/W2769111744","https://openalex.org/W2260028708","https://openalex.org/W1504912364","https://openalex.org/W2050720944","https://openalex.org/W2120558138"],"abstract_inverted_index":{"This":[0],"paper":[1],"further":[2],"studies":[3],"the":[4,17,21,30,38,48,51,59,63,78,83],"exponential":[5,22,74],"stability":[6,23,44],"of":[7,50,67,73,77,85],"delayed":[8],"bidirectional":[9],"associative":[10],"memory":[11],"neural":[12],"networks":[13],"and":[14,82],"focuses":[15],"on":[16,20],"impulse":[18,60,68,86],"effect":[19],"property.":[24],"It":[25],"is":[26,34,69],"shown":[27],"that":[28],"if":[29,47],"corresponding":[31,79],"impulse-free":[32,80],"DBAM":[33,81],"globally":[35],"exponentially":[36],"stable":[37],"impulsive":[39],"analog":[40],"will":[41],"remain":[42],"its":[43],"property":[45],"even":[46],"measurements":[49],"states":[52],"are":[53],"magnified":[54],"to":[55],"some":[56],"extent":[57],"at":[58],"instants.":[61],"Furthermore,":[62],"admissible":[64],"upper":[65],"bound":[66],"estimated":[70],"in":[71],"terms":[72],"convergence":[75],"degree":[76],"length":[84],"interval.":[87]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}