{"id":"https://openalex.org/W1769911457","doi":"https://doi.org/10.1109/ijcnn.2003.1223291","title":"Dynamic properties of a class of cellular neural networks: model, stability analysis and design method","display_name":"Dynamic properties of a class of cellular neural networks: model, stability analysis and design method","publication_year":2004,"publication_date":"2004-02-03","ids":{"openalex":"https://openalex.org/W1769911457","doi":"https://doi.org/10.1109/ijcnn.2003.1223291","mag":"1769911457"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2003.1223291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223291","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","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/A5055199720","display_name":"Giuseppe Grassi","orcid":"https://orcid.org/0000-0002-8876-3760"},"institutions":[{"id":"https://openalex.org/I4210096856","display_name":"Innovation Engineering (Italy)","ror":"https://ror.org/00sxjp357","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210096856"]},{"id":"https://openalex.org/I142910587","display_name":"University of Salento","ror":"https://ror.org/03fc1k060","country_code":"IT","type":"education","lineage":["https://openalex.org/I142910587"]},{"id":"https://openalex.org/I4210095193","display_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Lecce","ror":"https://ror.org/00qrf6g60","country_code":"IT","type":"facility","lineage":["https://openalex.org/I160013858","https://openalex.org/I4210095193"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"G. Grassi","raw_affiliation_strings":["Dipartimento lngegneria Innovazione, Universita degli Studi di Lecce, Lecce, Italy","Dipt. Ingegneria Innovazione, Lecce Univ., Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento lngegneria Innovazione, Universita degli Studi di Lecce, Lecce, Italy","institution_ids":["https://openalex.org/I4210095193","https://openalex.org/I142910587"]},{"raw_affiliation_string":"Dipt. Ingegneria Innovazione, Lecce Univ., Italy","institution_ids":["https://openalex.org/I4210096856"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073255599","display_name":"Donato Cafagna","orcid":"https://orcid.org/0000-0002-3804-8021"},"institutions":[{"id":"https://openalex.org/I142910587","display_name":"University of Salento","ror":"https://ror.org/03fc1k060","country_code":"IT","type":"education","lineage":["https://openalex.org/I142910587"]},{"id":"https://openalex.org/I4210095193","display_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Lecce","ror":"https://ror.org/00qrf6g60","country_code":"IT","type":"facility","lineage":["https://openalex.org/I160013858","https://openalex.org/I4210095193"]},{"id":"https://openalex.org/I4210096856","display_name":"Innovation Engineering (Italy)","ror":"https://ror.org/00sxjp357","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210096856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"D. Cafagna","raw_affiliation_strings":["Dipartimento lngegneria Innovazione, Universita degli Studi di Lecce, Lecce, Italy","Dipt. Ingegneria Innovazione, Lecce Univ., Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento lngegneria Innovazione, Universita degli Studi di Lecce, Lecce, Italy","institution_ids":["https://openalex.org/I4210095193","https://openalex.org/I142910587"]},{"raw_affiliation_string":"Dipt. Ingegneria Innovazione, Lecce Univ., Italy","institution_ids":["https://openalex.org/I4210096856"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055199720"],"corresponding_institution_ids":["https://openalex.org/I142910587","https://openalex.org/I4210095193","https://openalex.org/I4210096856"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.12240913,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"61","last_page":"65"},"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/T11187","display_name":"Nonlinear Dynamics and Pattern Formation","score":0.9937000274658203,"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/T11513","display_name":"stochastic dynamics and bifurcation","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.75286865234375},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7230104804039001},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.6935185194015503},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.654305636882782},{"id":"https://openalex.org/keywords/bidirectional-associative-memory","display_name":"Bidirectional associative memory","score":0.625965416431427},{"id":"https://openalex.org/keywords/circulant-matrix","display_name":"Circulant matrix","score":0.5974276065826416},{"id":"https://openalex.org/keywords/content-addressable-memory","display_name":"Content-addressable memory","score":0.5906209945678711},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5701605081558228},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5374411344528198},{"id":"https://openalex.org/keywords/equilibrium-point","display_name":"Equilibrium point","score":0.5352438688278198},{"id":"https://openalex.org/keywords/cellular-neural-network","display_name":"Cellular neural network","score":0.5117347240447998},{"id":"https://openalex.org/keywords/exponential-stability","display_name":"Exponential stability","score":0.48883384466171265},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4338505268096924},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.386687695980072},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35630011558532715},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33462488651275635},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2565656006336212},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19846758246421814},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.0811295211315155}],"concepts":[{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.75286865234375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7230104804039001},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.6935185194015503},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.654305636882782},{"id":"https://openalex.org/C120620853","wikidata":"https://www.wikidata.org/wiki/Q506355","display_name":"Bidirectional associative memory","level":4,"score":0.625965416431427},{"id":"https://openalex.org/C115973184","wikidata":"https://www.wikidata.org/wiki/Q245457","display_name":"Circulant matrix","level":2,"score":0.5974276065826416},{"id":"https://openalex.org/C53442348","wikidata":"https://www.wikidata.org/wiki/Q745101","display_name":"Content-addressable memory","level":3,"score":0.5906209945678711},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5701605081558228},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5374411344528198},{"id":"https://openalex.org/C94766913","wikidata":"https://www.wikidata.org/wiki/Q1530271","display_name":"Equilibrium point","level":3,"score":0.5352438688278198},{"id":"https://openalex.org/C812465","wikidata":"https://www.wikidata.org/wiki/Q5058375","display_name":"Cellular neural network","level":3,"score":0.5117347240447998},{"id":"https://openalex.org/C167964875","wikidata":"https://www.wikidata.org/wiki/Q17011487","display_name":"Exponential stability","level":3,"score":0.48883384466171265},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4338505268096924},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.386687695980072},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35630011558532715},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33462488651275635},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2565656006336212},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19846758246421814},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.0811295211315155},{"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/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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C78045399","wikidata":"https://www.wikidata.org/wiki/Q11214","display_name":"Differential equation","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2003.1223291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223291","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","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":14,"referenced_works":["https://openalex.org/W1987917679","https://openalex.org/W1991117320","https://openalex.org/W2021683655","https://openalex.org/W2024401919","https://openalex.org/W2048442032","https://openalex.org/W2087297835","https://openalex.org/W2103048921","https://openalex.org/W2117543872","https://openalex.org/W2130311435","https://openalex.org/W2132850352","https://openalex.org/W2160121923","https://openalex.org/W2162615207","https://openalex.org/W4242378300","https://openalex.org/W4248786481"],"related_works":["https://openalex.org/W1987836535","https://openalex.org/W4321273133","https://openalex.org/W1503438809","https://openalex.org/W2109892802","https://openalex.org/W1536116856","https://openalex.org/W2769111744","https://openalex.org/W2547249284","https://openalex.org/W2260028708","https://openalex.org/W1863343919","https://openalex.org/W1515775643"],"abstract_inverted_index":{"This":[0],"paper":[1],"focuses":[2],"on":[3],"analysis":[4],"and":[5,23,62,90,113],"design":[6],"of":[7,10,28,107],"a":[8,17,41],"class":[9],"cellular":[11],"neural":[12],"networks":[13],"(CNNs).":[14],"In":[15],"particular,":[16],"discrete-time":[18],"CNN":[19],"model":[20],"is":[21,32,48,52,99],"introduced":[22],"the":[24,75,105,108],"global":[25],"asymptotic":[26],"stability":[27,39,67],"its":[29],"equilibrium":[30],"point":[31],"analyzed.":[33],"By":[34],"taking":[35],"into":[36],"account":[37],"such":[38],"results,":[40],"novel":[42],"technique":[43],"for":[44],"obtaining":[45],"associative":[46],"memories":[47,92],"developed.":[49],"The":[50,69],"objective":[51],"achieved":[53],"by":[54,63,71],"considering":[55],"feedback":[56],"parameters":[57],"related":[58],"to":[59,93,103],"circulant":[60],"matrices":[61],"satisfying":[64],"frequency":[65],"domain":[66],"criteria.":[68],"approach,":[70],"generating":[72],"CNNs":[73],"where":[74],"input":[76],"data":[77],"are":[78],"fed":[79],"via":[80],"external":[81],"inputs":[82],"rather":[83],"than":[84],"initial":[85],"conditions,":[86],"enables":[87],"both":[88],"hetero-associative":[89],"auto-associative":[91],"be":[94],"designed.":[95],"A":[96],"numerical":[97],"example":[98],"reported":[100],"in":[101,111],"order":[102],"show":[104],"capabilities":[106],"designed":[109],"network":[110],"storing":[112],"retrieving":[114],"information.":[115]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
