{"id":"https://openalex.org/W2592328293","doi":"https://doi.org/10.1080/00207721.2017.1300706","title":"Mean square exponential input-to-state stability of stochastic memristive complex-valued neural networks with time varying delay","display_name":"Mean square exponential input-to-state stability of stochastic memristive complex-valued neural networks with time varying delay","publication_year":2017,"publication_date":"2017-03-09","ids":{"openalex":"https://openalex.org/W2592328293","doi":"https://doi.org/10.1080/00207721.2017.1300706","mag":"2592328293"},"language":"en","primary_location":{"id":"doi:10.1080/00207721.2017.1300706","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207721.2017.1300706","pdf_url":null,"source":{"id":"https://openalex.org/S129640837","display_name":"International Journal of Systems Science","issn_l":"0020-7721","issn":["0020-7721","1464-5319"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Systems Science","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/A5100326870","display_name":"Dan Liu","orcid":"https://orcid.org/0000-0003-1754-1332"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Liu","raw_affiliation_strings":["School of Mathematics, China University of Mining and Technology, Xuzhou Jiangsu, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics, China University of Mining and Technology, Xuzhou Jiangsu, P.R. China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013161489","display_name":"Song Zhu","orcid":"https://orcid.org/0000-0001-5228-9406"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Song Zhu","raw_affiliation_strings":["School of Mathematics, China University of Mining and Technology, Xuzhou Jiangsu, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics, China University of Mining and Technology, Xuzhou Jiangsu, P.R. China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031912654","display_name":"Wenting Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenting Chang","raw_affiliation_strings":["School of Mathematics, China University of Mining and Technology, Xuzhou Jiangsu, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics, China University of Mining and Technology, Xuzhou Jiangsu, P.R. China","institution_ids":["https://openalex.org/I25757504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5013161489"],"corresponding_institution_ids":["https://openalex.org/I25757504"],"apc_list":null,"apc_paid":null,"fwci":3.9542,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.94284454,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"48","issue":"9","first_page":"1966","last_page":"1977"},"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":0.9993000030517578,"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/T11513","display_name":"stochastic dynamics and bifurcation","score":0.9986000061035156,"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/mean-square","display_name":"Mean square","score":0.6896933317184448},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6835770606994629},{"id":"https://openalex.org/keywords/stochastic-neural-network","display_name":"Stochastic neural network","score":0.6570191979408264},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.609930157661438},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5329787731170654},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5242788195610046},{"id":"https://openalex.org/keywords/exponential-stability","display_name":"Exponential stability","score":0.5227037668228149},{"id":"https://openalex.org/keywords/square","display_name":"Square (algebra)","score":0.5218554735183716},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.48027563095092773},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4746288061141968},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.41557133197784424},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.39498400688171387},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3871801793575287},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24219408631324768},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.18133226037025452},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15539473295211792},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.10785698890686035},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.09436768293380737},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09112533926963806},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08548837900161743},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.08124089241027832}],"concepts":[{"id":"https://openalex.org/C2988709989","wikidata":"https://www.wikidata.org/wiki/Q85784623","display_name":"Mean square","level":2,"score":0.6896933317184448},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6835770606994629},{"id":"https://openalex.org/C86582703","wikidata":"https://www.wikidata.org/wiki/Q7617824","display_name":"Stochastic neural network","level":4,"score":0.6570191979408264},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.609930157661438},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5329787731170654},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5242788195610046},{"id":"https://openalex.org/C167964875","wikidata":"https://www.wikidata.org/wiki/Q17011487","display_name":"Exponential stability","level":3,"score":0.5227037668228149},{"id":"https://openalex.org/C135692309","wikidata":"https://www.wikidata.org/wiki/Q111124","display_name":"Square (algebra)","level":2,"score":0.5218554735183716},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.48027563095092773},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4746288061141968},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.41557133197784424},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39498400688171387},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3871801793575287},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24219408631324768},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.18133226037025452},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15539473295211792},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.10785698890686035},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.09436768293380737},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09112533926963806},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08548837900161743},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.08124089241027832},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/00207721.2017.1300706","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207721.2017.1300706","pdf_url":null,"source":{"id":"https://openalex.org/S129640837","display_name":"International Journal of Systems Science","issn_l":"0020-7721","issn":["0020-7721","1464-5319"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Systems Science","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:taf:tsysxx:v:48:y:2017:i:9:p:1966-1977","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/00207721.2017.1300706","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3503277120","display_name":null,"funder_award_id":"2014M560459","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5391649365","display_name":null,"funder_award_id":"61134012, 61203055, 11271146","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1548338589","https://openalex.org/W1967393005","https://openalex.org/W1970334147","https://openalex.org/W1971304367","https://openalex.org/W1973352490","https://openalex.org/W1977790014","https://openalex.org/W1985432114","https://openalex.org/W1987141063","https://openalex.org/W1999390427","https://openalex.org/W2006692115","https://openalex.org/W2009702937","https://openalex.org/W2009834544","https://openalex.org/W2013605669","https://openalex.org/W2018577927","https://openalex.org/W2022179417","https://openalex.org/W2028261238","https://openalex.org/W2030543960","https://openalex.org/W2038428280","https://openalex.org/W2042024731","https://openalex.org/W2049589961","https://openalex.org/W2050147446","https://openalex.org/W2056062720","https://openalex.org/W2061813629","https://openalex.org/W2062360801","https://openalex.org/W2067110518","https://openalex.org/W2088315165","https://openalex.org/W2090620273","https://openalex.org/W2095515103","https://openalex.org/W2102216069","https://openalex.org/W2112181056","https://openalex.org/W2141071915","https://openalex.org/W2145967274","https://openalex.org/W2157077261","https://openalex.org/W2161613250","https://openalex.org/W2162651880","https://openalex.org/W2167293229","https://openalex.org/W2255181855","https://openalex.org/W2339919800","https://openalex.org/W2346754133","https://openalex.org/W2473526392","https://openalex.org/W2511753639","https://openalex.org/W3021750181","https://openalex.org/W4293078920"],"related_works":["https://openalex.org/W2097279547","https://openalex.org/W2092831645","https://openalex.org/W1546378703","https://openalex.org/W2386387936","https://openalex.org/W1950719751","https://openalex.org/W1970334147","https://openalex.org/W2166176723","https://openalex.org/W2357598437","https://openalex.org/W4306762006","https://openalex.org/W2955911506"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"mean":[3,34],"square":[4,35],"exponential":[5],"input-to-state":[6],"stability":[7],"(exp-ISS)":[8],"of":[9,37,67,77],"stochastic":[10,23],"memristive":[11],"complex-valued":[12],"neural":[13,54],"networks":[14,55],"(SMCVNNs)":[15],"is":[16,29],"investigated.":[17],"By":[18],"utilising":[19],"Lyapunov":[20],"functional":[21],"and":[22],"analysis":[24],"theory,":[25],"a":[26],"sufficient":[27],"criterion":[28],"derived":[30],"to":[31,73],"assure":[32],"the":[33,38,46,50,75],"exp-ISS":[36],"SMCVNNs.":[39],"The":[40],"obtained":[41],"results":[42],"not":[43],"only":[44],"generalise":[45],"previous":[47],"works":[48],"in":[49],"literature":[51],"about":[52],"real-valued":[53],"as":[56],"special":[57],"cases,":[58],"but":[59],"also":[60],"can":[61],"be":[62],"easily":[63],"checked":[64],"by":[65],"parameters":[66],"system.":[68],"Numerical":[69],"simulations":[70],"are":[71],"given":[72],"show":[74],"effectiveness":[76],"our":[78],"theoretical":[79],"results.":[80]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-05T09:01:59.212387","created_date":"2025-10-10T00:00:00"}
