{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,17]],"date-time":"2025-04-17T16:10:41Z","timestamp":1744906241487,"version":"3.37.3"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2015,9,21]],"date-time":"2015-09-21T00:00:00Z","timestamp":1442793600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61273015"],"award-info":[{"award-number":["61273015"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"The natural science research project of Fuyang Normal College","award":["2013FSKJ09"],"award-info":[{"award-number":["2013FSKJ09"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. & Cyber."],"published-print":{"date-parts":[[2016,4]]},"DOI":"10.1007\/s13042-015-0428-4","type":"journal-article","created":{"date-parts":[[2015,9,21]],"date-time":"2015-09-21T09:27:08Z","timestamp":1442827628000},"page":"205-216","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Relaxed passivity conditions for discrete-time stochastic delayed neural networks"],"prefix":"10.1007","volume":"7","author":[{"given":"Wei","family":"Kang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shouming","family":"Zhong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,9,21]]},"reference":[{"key":"428_CR1","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/j.neunet.2014.05.002","volume":"57","author":"L Duan","year":"2014","unstructured":"Duan L, Huang L (2014) Periodicity and dissipativity for memristor-based mixed time-varying delayed neural networks via differential inclusions. Neural Netw 57:12\u201322","journal-title":"Neural Netw"},{"key":"428_CR2","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1016\/j.automatica.2010.10.014","volume":"47","author":"PG Park","year":"2011","unstructured":"Park PG, Ko JW, Jeong C (2011) Reciprocally convex approach to stability of systems with time-varying delays. Automatica 47:235\u2013238","journal-title":"Automatica"},{"key":"428_CR3","doi-asserted-by":"crossref","first-page":"644","DOI":"10.1109\/TCSI.2005.859051","volume":"53","author":"W Chen","year":"2006","unstructured":"Chen W, Zheng W (2006) Global asymptotic stability of a class of neural networks with distributed delays. IEEE Trans Circuits Syst I 53:644\u2013652","journal-title":"IEEE Trans Circuits Syst I"},{"key":"428_CR4","doi-asserted-by":"crossref","first-page":"601","DOI":"10.1109\/91.873583","volume":"8","author":"ECC Tsang","year":"2000","unstructured":"Tsang ECC, Wang X, Yeung DS (2000) Improving learning accuracy of fuzzy decision trees by hybrid neural networks. IEEE Trans Fuzzy Syst 8:601\u2013614","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"428_CR5","doi-asserted-by":"crossref","first-page":"2581","DOI":"10.1016\/j.neucom.2007.01.005","volume":"70","author":"X Wang","year":"2007","unstructured":"Wang X, Dong C, Fan T (2007) Training T-S norm neural networks to refine weights for fuzzy if-then rules. Neurocomputing 70:2581\u20132587","journal-title":"Neurocomputing"},{"key":"428_CR6","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/j.neunet.2012.08.005","volume":"35","author":"D Zhang","year":"2012","unstructured":"Zhang D, Yu L (2012) Exponential state estimation for Markovian jumping neural networks with time-varying discrete and distributed delays. Neural Netw 35:103\u2013111","journal-title":"Neural Netw"},{"key":"428_CR7","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/j.jfranklin.2014.10.005","volume":"352","author":"K Shi","year":"2015","unstructured":"Shi K, Zhu H, Zhong S, Zeng Y, Zhang Y (2015) New stability analysis for neutral type neural networks with discrete and distributed delays using using a multiple integral approach. J Frankl Inst 352:155\u2013176","journal-title":"J Frankl Inst"},{"key":"428_CR8","doi-asserted-by":"crossref","first-page":"274","DOI":"10.1016\/j.neucom.2015.02.026","volume":"160","author":"J Cheng","year":"2015","unstructured":"Cheng J, Xiong L (2015) Improved integral inequality approach on stabilization for continuous-time systems with time-varying input delay. Neurocomputing 160:274\u2013280","journal-title":"Neurocomputing"},{"key":"428_CR9","doi-asserted-by":"crossref","first-page":"711","DOI":"10.1016\/j.isatra.2013.06.011","volume":"52","author":"P Liu","year":"2013","unstructured":"Liu P (2013) Delay-dependent global exponential robust stability for delayed cellular neural networks with time-varying delay. ISA Trans 52:711\u2013716","journal-title":"ISA Trans"},{"key":"428_CR10","doi-asserted-by":"crossref","first-page":"694","DOI":"10.1016\/j.isatra.2012.07.001","volume":"51","author":"P Liu","year":"2012","unstructured":"Liu P (2012) A delay decomposition approach to robust stability analysis of uncertain systems with time-varying delay. ISA Trans 51:694\u2013701","journal-title":"ISA Trans"},{"key":"428_CR11","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1109\/TNNLS.2011.2178563","volume":"23","author":"Z Wu","year":"2012","unstructured":"Wu Z, Shi P, Su H, Chu J (2012) Stability and disspativity analysis of static neural networks with time delay. IEEE Trans Neural Netw Learn Syst 23:199\u2013210","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"428_CR12","doi-asserted-by":"crossref","first-page":"1469","DOI":"10.1007\/s11071-014-1392-3","volume":"77","author":"L Duan","year":"2014","unstructured":"Duan L, Huang L, Guo Z (2014) Stability and almost periodicity for delayed high-order Hopfield neural networks with discontinuous activations. Nonlinear Dyn 77:1469\u20131484","journal-title":"Nonlinear Dyn"},{"key":"428_CR13","doi-asserted-by":"crossref","first-page":"2671","DOI":"10.1016\/j.neucom.2010.05.002","volume":"73","author":"Q Zhu","year":"2010","unstructured":"Zhu Q, Cao J (2010) Stability analysis for stochastic neural networks of neutral type with both Markovian jump parameters and mixed time delays. Neurocomputing 73:2671\u20132680","journal-title":"Neurocomputing"},{"key":"428_CR14","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1109\/TNN.2009.2036610","volume":"21","author":"R Yang","year":"2010","unstructured":"Yang R, Zhang Z, Shi P (2010) Exponential stability on stochastic neural networks with discrete interval and distributed delays. IEEE Trans Neural Netw 21:169\u2013175","journal-title":"IEEE Trans Neural Netw"},{"key":"428_CR15","doi-asserted-by":"crossref","first-page":"1095","DOI":"10.1080\/00207720802300370","volume":"39","author":"S Xu","year":"2008","unstructured":"Xu S, Lam J (2008) A survey of linear matrix inequality techniques in stability analysis of delay systems. Int J Syst Sci 39:1095\u20131113","journal-title":"Int J Syst Sci"},{"key":"428_CR16","doi-asserted-by":"crossref","first-page":"2057","DOI":"10.1002\/rnc.1568","volume":"20","author":"Y Chen","year":"2010","unstructured":"Chen Y, Xue A, Zhang W, Zhou S (2010) Robust exponential stability conditions for retarded systems with Lipschitz nonlinear stochastic perturbations. Int J Robust Nonlinear 20:2057\u20132076","journal-title":"Int J Robust Nonlinear"},{"key":"428_CR17","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1109\/TNNLS.2012.2224883","volume":"24","author":"O Kwon","year":"2013","unstructured":"Kwon O, Park M, Lee S, Park JH, Cha E (2013) Stability for neural networks with time-varying delays via some new approaches. IEEE Trans Neural Netw 24:181\u2013193","journal-title":"IEEE Trans Neural Netw"},{"key":"428_CR18","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1109\/TNN.2009.2034742","volume":"21","author":"H Zhang","year":"2010","unstructured":"Zhang H, Liu Z, Huang G, Wang Z (2010) Novel weighting-delay-based stability criteria for recurrent neural networks with time-varying delay. IEEE Trans Neural Netw 21:91\u2013106","journal-title":"IEEE Trans Neural Netw"},{"key":"428_CR19","doi-asserted-by":"crossref","first-page":"1229","DOI":"10.1109\/TNNLS.2014.2317880","volume":"25","author":"H Zhang","year":"2014","unstructured":"Zhang H, Wang Z, Liu D (2014) A comprehensive review of stability analysis of continuous-time recurrent neural networks. IEEE Trans Neural Netw 25:1229\u20131262","journal-title":"IEEE Trans Neural Netw"},{"key":"428_CR20","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1016\/j.amc.2014.05.071","volume":"242","author":"J Cheng","year":"2014","unstructured":"Cheng J, Zhu H, Ding Y, Zhong S, Zhong Q (2014) Stochastic finite-time boundedness for Markovian jumping neural networks with time-varying delays. Appl Math Comput 242:281\u2013295","journal-title":"Appl Math Comput"},{"key":"428_CR21","doi-asserted-by":"crossref","first-page":"2991","DOI":"10.1016\/j.automatica.2009.09.012","volume":"45","author":"Z Wang","year":"2009","unstructured":"Wang Z, Wei G, Feng G (2009) Reliabe $$H_\\infty $$ H \u221e control for discrete-time piecewise linear systems with infinite distributed delays. Automatica 45:2991\u20132994","journal-title":"Automatica"},{"key":"428_CR22","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/j.neucom.2013.04.026","volume":"121","author":"OM Kwon","year":"2013","unstructured":"Kwon OM, Park MJ, Park JH, Lee SM, Cha EJ (2013) New criteria on delay-dependent stability for discrete-time neural networks with time-varying delays. Neurocomputing 121:185\u2013194","journal-title":"Neurocomputing"},{"key":"428_CR23","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1016\/j.automatica.2012.09.003","volume":"49","author":"B Shen","year":"2013","unstructured":"Shen B, Ding X, Wang Z (2013) Finite-horizon $$H_\\infty $$ H \u221e fault estimation for linear discrete time-varying systems with delayed measurements. Automatica 49:293\u2013296","journal-title":"Automatica"},{"key":"428_CR24","doi-asserted-by":"crossref","first-page":"3457","DOI":"10.1016\/j.jfranklin.2014.02.008","volume":"351","author":"Z Zhang","year":"2014","unstructured":"Zhang Z, Zhang Z, Zhang H, Karimi HR (2014) Finite-time stability analysis and stabilization for linear discrete-time system with time-varying delay. J Frankl Inst 351:3457\u20133476","journal-title":"J Frankl Inst"},{"key":"428_CR25","doi-asserted-by":"crossref","first-page":"901","DOI":"10.1016\/j.physleta.2012.01.038","volume":"376","author":"K Mathiyalagan","year":"2012","unstructured":"Mathiyalagan K, Sakthivel R, MarshalAnthoni S (2012) Exponential stability result for discrete-time stochastic fuzzy uncertain neural networks. Phys Lett A 376:901\u2013912","journal-title":"Phys Lett A"},{"key":"428_CR26","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1016\/j.neucom.2013.12.044","volume":"135","author":"X Kan","year":"2014","unstructured":"Kan X, Shu H, Li Z (2014) Robust state estimation for discrete-time neural networks with mixed time-delays, linear fractional uncertainties and successive packet dropouts. Neurocomputing 135:130\u2013138","journal-title":"Neurocomputing"},{"key":"428_CR27","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1016\/j.neucom.2012.12.017","volume":"111","author":"T Wang","year":"2014","unstructured":"Wang T, Zhang C, Fei S, Li T (2014) Further stability criteria on discrete-time delayed neural networks with distributed delay. Neurocomputing 111:195\u2013203","journal-title":"Neurocomputing"},{"key":"428_CR28","doi-asserted-by":"crossref","first-page":"1405","DOI":"10.1049\/iet-cta.2013.0980","volume":"8","author":"LV Hien","year":"2014","unstructured":"Hien LV, An NT, Trinh H (2014) New results on state bounding for discrete-time systems with interval time-varying delay and bounded disturbance inputs. IET Control Theory Appl 8:1405\u20131414","journal-title":"IET Control Theory Appl"},{"key":"428_CR29","volume-title":"Dissipative systems analysis and control: theory and applications","author":"R Lozana","year":"2007","unstructured":"Lozana R, Brogliato B, Egeland O, Maschke B (2007) Dissipative systems analysis and control: theory and applications, 2nd edn. Springer, London","edition":"2"},{"key":"428_CR30","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1016\/j.neucom.2014.04.031","volume":"142","author":"B Zhang","year":"2014","unstructured":"Zhang B, Xu S, Lam J (2014) Relaxd passivity conditions for neural networks with time-varting delays. Neurocomputing 142:299\u2013306","journal-title":"Neurocomputing"},{"key":"428_CR31","doi-asserted-by":"crossref","first-page":"6168","DOI":"10.1016\/j.amc.2010.12.100","volume":"217","author":"DH Ji","year":"2011","unstructured":"Ji DH, Koo JH, Won SC, Lee SM, Park JH (2011) Passivity-based control for Hopfield neural networks using convex representation. Appl Math Comput 217:6168\u20136175","journal-title":"Appl Math Comput"},{"key":"428_CR32","doi-asserted-by":"crossref","first-page":"1593","DOI":"10.1016\/j.nonrwa.2011.11.017","volume":"13","author":"Z Wu","year":"2012","unstructured":"Wu Z, Park JH, Su H, Chu J (2012) New results on exponential passivity of neural networks with time-delays. Nonlinear Anal Real World Appl 13:1593\u20131599","journal-title":"Nonlinear Anal Real World Appl"},{"key":"428_CR33","doi-asserted-by":"crossref","first-page":"1936","DOI":"10.1109\/TNNLS.2013.2296514","volume":"25","author":"TH Lee","year":"2014","unstructured":"Lee TH, Park MJ, Park JH, Kwon OM, Lee SM (2014) Extended dissipative analysis for neural networks with time-varying delays. IEEE Trans Neural Netw Learn Syst 25:1936\u20131941","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"428_CR34","doi-asserted-by":"crossref","first-page":"785","DOI":"10.1109\/TCYB.2013.2272399","volume":"44","author":"H Zeng","year":"2014","unstructured":"Zeng H, He Y, Min Wu, Xiao H (2014) Improved conditions for passivity of neural networks with a time-varying delay. IEEE Trans Cybernetics 44:785\u2013792","journal-title":"IEEE Trans Cybernetics"},{"key":"428_CR35","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/j.neucom.2012.08.049","volume":"125","author":"Z Zhao","year":"2014","unstructured":"Zhao Z, Song Q, He S (2014) Passivity analysis of stochastic neural networks with time-varying delays and leakage delay. Neurocomputing 125:22\u201327","journal-title":"Neurocomputing"},{"key":"428_CR36","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1109\/TNNLS.2012.2232938","volume":"24","author":"Z Wu","year":"2013","unstructured":"Wu Z, Shi P, Su H, Chu J (2013) Dissipativity analysis for discrete-time stochastic neural networks with time-varying delays. IEEE Trans Neural Netw Learn Syst 24:345\u2013355","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"428_CR37","doi-asserted-by":"crossref","first-page":"1782","DOI":"10.1016\/j.neucom.2008.05.006","volume":"72","author":"Q Song","year":"2009","unstructured":"Song Q, Liang J, Wang Z (2009) Passivity analysis of discrete-time stochastic neural networks with time-varying delays. Neurocomputing 72:1782\u20131788","journal-title":"Neurocomputing"},{"key":"428_CR38","first-page":"756","volume":"25","author":"R Raja","year":"2014","unstructured":"Raja R, Raja UK, Samidurai R, Leelamani A (2014) Passivity analysis for uncertain discrete-time stochastic BAM neural networks with time-varying delays. Neural Comput Appl 25:756\u2013766","journal-title":"Neural Comput Appl"},{"key":"428_CR39","doi-asserted-by":"crossref","first-page":"1509","DOI":"10.1007\/s00521-012-0838-0","volume":"22","author":"G Shi","year":"2013","unstructured":"Shi G, Ma Q, Qu Y (2013) Robust passivity analysis of a class of discrete-time stochastic neural networks. Neural Comput Appl 22:1509\u20131517","journal-title":"Neural Comput Appl"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-015-0428-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13042-015-0428-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-015-0428-4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,2]],"date-time":"2019-06-02T10:31:20Z","timestamp":1559471480000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13042-015-0428-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,9,21]]},"references-count":39,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2016,4]]}},"alternative-id":["428"],"URL":"https:\/\/doi.org\/10.1007\/s13042-015-0428-4","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"type":"print","value":"1868-8071"},{"type":"electronic","value":"1868-808X"}],"subject":[],"published":{"date-parts":[[2015,9,21]]}}}