{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T17:51:21Z","timestamp":1740160281408,"version":"3.37.3"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2017,3,29]],"date-time":"2017-03-29T00:00:00Z","timestamp":1490745600000},"content-version":"unspecified","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":["61273126"],"award-info":[{"award-number":["61273126"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"crossref","award":["2015A030310336"],"award-info":[{"award-number":["2015A030310336"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. &amp; Cyber."],"published-print":{"date-parts":[[2018,8]]},"DOI":"10.1007\/s13042-017-0651-2","type":"journal-article","created":{"date-parts":[[2017,3,29]],"date-time":"2017-03-29T11:39:19Z","timestamp":1490787559000},"page":"1377-1386","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Robust \n$$H_\\infty$$\n                \n                    \n                        \n                            H\n                            \u221e\n                        \n                    \n                \n             filtering for uncertain discrete-time stochastic neural networks with Markovian jump and mixed time-delays"],"prefix":"10.1007","volume":"9","author":[{"given":"Yajun","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feiqi","family":"Deng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gai","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Like","family":"Jiao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,3,29]]},"reference":[{"issue":"1","key":"651_CR1","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(1):169\u2013175","journal-title":"IEEE Trans Neural Netw"},{"issue":"3","key":"651_CR2","doi-asserted-by":"crossref","first-page":"814","DOI":"10.1109\/TNN.2006.872355","volume":"17","author":"Z Wang","year":"2006","unstructured":"Wang Z, Liu Y, Li M, Liu X (2006) Stability analysis for stochastic Cohen-Grossberg neural networks with mixed time delays. IEEE Trans Neural Netw 17(3):814\u2013820","journal-title":"IEEE Trans Neural Netw"},{"issue":"3","key":"651_CR3","doi-asserted-by":"crossref","first-page":"864","DOI":"10.1016\/j.neucom.2014.10.009","volume":"151","author":"H Tan","year":"2015","unstructured":"Tan H, Hua M, Chen J, Fei J (2015) Stability analysis of stochastic Markovian switching static neural networks with asynchronous mode-dependent delays. Neurocomputing 151(3):864\u2013872","journal-title":"Neurocomputing"},{"issue":"2","key":"651_CR4","doi-asserted-by":"crossref","first-page":"2247","DOI":"10.1016\/j.neucom.2010.01.010","volume":"73","author":"Z Wu","year":"2010","unstructured":"Wu Z, Su H, Chu J (2010) State estimation for discrete Markovian jumping neural networks with time delay. Neurocomputing 73(2):2247\u20132254","journal-title":"Neurocomputing"},{"key":"651_CR5","doi-asserted-by":"crossref","unstructured":"Chu H, Gao L (2009) State estimation for discrete-time Markov jumping stochastic neural networks with mixed time-delays. In: Proceedings of the Pacific-Asia conference on circuits, communications and system, Chengdu, China, pp 717\u2013721","DOI":"10.1109\/PACCS.2009.164"},{"issue":"4","key":"651_CR6","doi-asserted-by":"crossref","first-page":"661","DOI":"10.1007\/s11071-009-9623-8","volume":"60","author":"P Balasubramaniam","year":"2010","unstructured":"Balasubramaniam P, Lakshmanan S, Theesar S (2010) State estimation for Markovian jumping recurrent neural networks with interval time-varying delays. Nonlinear Dyn 60(4):661\u2013675","journal-title":"Nonlinear Dyn"},{"issue":"1\u20133","key":"651_CR7","doi-asserted-by":"crossref","first-page":"643","DOI":"10.1016\/j.neucom.2008.06.009","volume":"72","author":"S Mou","year":"2008","unstructured":"Mou S, Gao H, Qiang W, Fei Z (2008) State estimation for discrete-time neural networks with time-varying delays. Neurocomputing 72(1\u20133):643\u2013647","journal-title":"Neurocomputing"},{"issue":"22","key":"651_CR8","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1016\/j.neucom.2014.12.008","volume":"154","author":"X Wan","year":"2015","unstructured":"Wan X, Xu L, Fang H, Ling G (2015) Robust non-fragile \n$$H\\infty$$\n                        \n                            \n                                \n                                    H\n                                    \u221e\n                                \n                            \n                        \n                     state estimation for discrete-time genetic regulatory networks with Markov jump delays and uncertain transition probabilities. Neurocomputing 154(22):162\u2013173","journal-title":"Neurocomputing"},{"issue":"1","key":"651_CR9","first-page":"217","volume":"203","author":"J Park","year":"2008","unstructured":"Park J, Kwon O, Lee S (2008) State estimation for neural networks of neutral-type with interval time-varying delays. Appl Math Comput 203(1):217\u2013223","journal-title":"Appl Math Comput"},{"issue":"2","key":"651_CR10","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.neucom.2012.12.011","volume":"111","author":"T Wang","year":"2013","unstructured":"Wang T, Ding Y, Zhang L, Ha K (2013) Robust state estimation for discrete-time stochastic genetic regulatory networks with probabilistic measurement delays. Neurocomputing 111(2):1\u201312","journal-title":"Neurocomputing"},{"issue":"10","key":"651_CR11","doi-asserted-by":"crossref","first-page":"1202","DOI":"10.1016\/j.neunet.2010.07.001","volume":"23","author":"H Huang","year":"2010","unstructured":"Huang H, Feng G, Cao J (2010) State estimation for static neural networks with time-varying delay. Neural Netw 23(10):1202\u20131207","journal-title":"Neural Netw"},{"issue":"47","key":"651_CR12","doi-asserted-by":"crossref","first-page":"4328","DOI":"10.1016\/j.physleta.2009.09.055","volume":"373","author":"J Liang","year":"2009","unstructured":"Liang J, Lam J, Wang Z (2009) State estimation for Markov-type genetic regulatory networks with delays and uncertain mode transition rates. Phys Lett A 373(47):4328\u20134337","journal-title":"Phys Lett A"},{"issue":"12","key":"651_CR13","doi-asserted-by":"crossref","first-page":"3517","DOI":"10.1016\/j.cnsns.2013.05.004","volume":"18","author":"F Zhang","year":"2013","unstructured":"Zhang F, Zhang Y (2013) State estimation of neural networks with both time-varying delays and norm-bounded parameter uncertainties via a delay decomposition approach. Commun Nonlinear Sci Numer Simul 18(12):3517\u20133529","journal-title":"Commun Nonlinear Sci Numer Simul"},{"issue":"5","key":"651_CR14","doi-asserted-by":"crossref","first-page":"792","DOI":"10.1016\/j.neucom.2010.10.006","volume":"74","author":"H Huang","year":"2011","unstructured":"Huang H, Feng G (2011) State estimation of recurrent neural networks with time-varying delay: a novel delay partition approach. Neurocomputing 74(5):792\u2013796","journal-title":"Neurocomputing"},{"issue":"1","key":"651_CR15","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.neunet.2011.08.002","volume":"25","author":"Y Chen","year":"2012","unstructured":"Chen Y, Zheng W (2012) Stochastic state estimation for neural networks with distributed delays and Markovian jump. Neural Netw 25(1):14\u201320","journal-title":"Neural Netw"},{"issue":"1","key":"651_CR16","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.neunet.2010.09.010","volume":"24","author":"H Bao","year":"2011","unstructured":"Bao H, Cao J (2011) Delay-distribution-dependent state estimation for discrete-time stochastic neural works with random delay. Neural Netw 24(1):19\u201328","journal-title":"Neural Netw"},{"issue":"8","key":"651_CR17","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1016\/j.neucom.2010.03.013","volume":"74","author":"Z Wang","year":"2010","unstructured":"Wang Z, Liu Y, Liu X, Shi Y (2010) Robust state estimation for discrete-time stochastic neural networks with probabilistic measurement delays. Neurocomputing 74(8):256\u2013264","journal-title":"Neurocomputing"},{"issue":"1","key":"651_CR18","first-page":"465","volume":"3","author":"C Liao","year":"2009","unstructured":"Liao C, Lu C, Zheng K, Ting C (2009) A delay-dependent approach to design state estimator for discrete stochastic recurrent neural network with interval time-varying delays. ICIC Express Lett 3(1):465\u2013470","journal-title":"ICIC Express Lett"},{"issue":"1","key":"651_CR19","doi-asserted-by":"crossref","first-page":"781","DOI":"10.1109\/TNN.2009.2013240","volume":"20","author":"J Liang","year":"2009","unstructured":"Liang J, Wang Z, Liu X (2009) State estimation for coupled uncertain stochastic networks with missing measurements and time-varying delays: The discrete-time case. IEEE Trans Neural Netw 20(1):781\u2013793","journal-title":"IEEE Trans Neural Netw"},{"issue":"2","key":"651_CR20","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(2):103\u2013111","journal-title":"Neural Netw"},{"issue":"3","key":"651_CR21","doi-asserted-by":"crossref","first-page":"846","DOI":"10.1109\/TCSI.2008.2003372","volume":"56","author":"H Huang","year":"2009","unstructured":"Huang H, Feng G (2009) Delay-dependent \n$$H_\\infty$$\n                        \n                            \n                                \n                                    H\n                                    \u221e\n                                \n                            \n                        \n                     and generalized \n$$H_2$$\n                        \n                            \n                                \n                                    H\n                                    2\n                                \n                            \n                        \n                     filtering for delayed neural networks. IEEE Trans Circuit Syst I 56(3):846\u2013857","journal-title":"IEEE Trans Circuit Syst I"},{"issue":"7","key":"651_CR22","doi-asserted-by":"crossref","first-page":"915","DOI":"10.1016\/j.chaos.2012.03.006","volume":"45","author":"W Wang","year":"2012","unstructured":"Wang W, Zhong S, Liu F (2012) Robust filtering of uncertain stochastic genetic regulatory networks with time-varying delays. Chaos Soliton Fract 45(7):915\u2013929","journal-title":"Chaos Soliton Fract"},{"issue":"2","key":"651_CR23","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.neucom.2012.01.027","volume":"87","author":"M Mohammadian","year":"2012","unstructured":"Mohammadian M, Abolmasoumi A, Momeni H (2012) \n$$H_\\infty$$\n                        \n                            \n                                \n                                    H\n                                    \u221e\n                                \n                            \n                        \n                     mode-independent filter design for Markovian jump genetic regulatory networks with time-varying delays. Neurocomputing 87(2):10\u201318","journal-title":"Neurocomputing"},{"issue":"2","key":"651_CR24","first-page":"1","volume":"13","author":"D Zhang","year":"2011","unstructured":"Zhang D, Yu L, Wang Q (2011) Exponential \n$$H_\\infty$$\n                        \n                            \n                                \n                                    H\n                                    \u221e\n                                \n                            \n                        \n                     filtering for switched stochastic genetic regulatory networks with random sensor delays. Asian J Control 13(2):1\u20137","journal-title":"Asian J Control"},{"issue":"2","key":"651_CR25","first-page":"960","volume":"350","author":"X Lin","year":"2013","unstructured":"Lin X, Zhang X, Wang Y (2013) Robust passive filtering for neutral-type neural networks with time-varying discrete and unbounded distributed delays. J Frankl Inst 350(2):960\u2013989","journal-title":"J Frankl Inst"},{"issue":"3","key":"651_CR26","doi-asserted-by":"crossref","first-page":"1759","DOI":"10.1002\/rnc.1703","volume":"21","author":"B Shen","year":"2011","unstructured":"Shen B, Wang Z, Liang J, Liu X (2011) Sampled-data \n$$H_\\infty$$\n                        \n                            \n                                \n                                    H\n                                    \u221e\n                                \n                            \n                        \n                     filtering for stochastic genetic regulatory networks. Int J Robust Nonlinearity 21(3):1759\u20131777","journal-title":"Int J Robust Nonlinearity"},{"issue":"2","key":"651_CR27","doi-asserted-by":"crossref","first-page":"1231","DOI":"10.1007\/s00034-011-9274-0","volume":"30","author":"B Chen","year":"2011","unstructured":"Chen B, Yu L, Zhang W (2011) \n$$H_\\infty$$\n                        \n                            \n                                \n                                    H\n                                    \u221e\n                                \n                            \n                        \n                     Filtering for Markovian switching genetic regulatory networks with time-delays and stochastic disturbances. Circuits Syst Signal Proc 30(2):1231\u20131252","journal-title":"Circuits Syst Signal Proc"},{"issue":"1","key":"651_CR28","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/j.mbs.2009.04.002","volume":"220","author":"G Wei","year":"2009","unstructured":"Wei G, Wang Z, Lam J, Fraser K, Rao G, Liu X (2009) Robust filtering for stochastic genetic regulatory networks with time-varying delay. Math Biosci 220(1):73\u201380","journal-title":"Math Biosci"},{"issue":"6","key":"651_CR29","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1016\/j.neucom.2013.08.016","volume":"127","author":"G Zhuang","year":"2014","unstructured":"Zhuang G, Lu J, Zhang M (2014) Robust \n$$H_\\infty$$\n                        \n                            \n                                \n                                    H\n                                    \u221e\n                                \n                            \n                        \n                     filter design for uncertain stochastic Markovian jump Hopfield neural networks with mode-dependent time-varying delays. Neurocomputing 127(6):181\u2013189","journal-title":"Neurocomputing"},{"issue":"1","key":"651_CR30","doi-asserted-by":"crossref","first-page":"613","DOI":"10.1007\/s00521-013-1531-7","volume":"25","author":"M Hua","year":"2014","unstructured":"Hua M, Tan H, Chen J (2014) Delay-dependent \n$$H_\\infty$$\n                        \n                            \n                                \n                                    H\n                                    \u221e\n                                \n                            \n                        \n                     and generalized \n$$H_2$$\n                        \n                            \n                                \n                                    H\n                                    2\n                                \n                            \n                        \n                     filtering for stochastic neural networks with time-varying delay and noise disturbance. Neural Comput Appl 25(1):613\u2013624","journal-title":"Neural Comput Appl"},{"issue":"3","key":"651_CR31","doi-asserted-by":"crossref","first-page":"753","DOI":"10.1007\/s00034-005-0921-1","volume":"24","author":"S Xu","year":"2005","unstructured":"Xu S, Lam J, Gao H, Zou Y (2005) Robust \n$$H_\\infty$$\n                        \n                            \n                                \n                                    H\n                                    \u221e\n                                \n                            \n                        \n                     filtering for uncertain discrete stochastic systems with time delays. Circuits Syst Signal Proc 24(3):753\u2013770","journal-title":"Circuits Syst Signal Proc"},{"issue":"1","key":"651_CR32","first-page":"318","volume":"23","author":"Y Liu","year":"2008","unstructured":"Liu Y, Wang Z, Liu X (2008) Robust \n$$H_\\infty$$\n                        \n                            \n                                \n                                    H\n                                    \u221e\n                                \n                            \n                        \n                     filtering for discrete nonlinear stochastic systems with time-varying delay. J Math Anal Appl 23(1):318\u2013336","journal-title":"J Math Anal Appl"},{"issue":"3","key":"651_CR33","doi-asserted-by":"crossref","first-page":"1268","DOI":"10.1016\/j.automatica.2007.09.016","volume":"44","author":"Z Wang","year":"2008","unstructured":"Wang Z, Liu Y, Liu X (2008) \n$$H_\\infty$$\n                        \n                            \n                                \n                                    H\n                                    \u221e\n                                \n                            \n                        \n                     filtering for uncertain stochastic time-delay systems with sector-bounded nonlinearities. Automatica 44(3):1268\u20131277","journal-title":"Automatica"},{"key":"651_CR34","doi-asserted-by":"publisher","unstructured":"Hua M, Tan H, Fei J State estimation for uncertain discrete-time stochastic neural networks with Markovian jump parameters and time-varying delays. Int J Mach Learn Cyber. doi:\n10.1007\/s13042-015-0373-2","DOI":"10.1007\/s13042-015-0373-2"},{"issue":"3","key":"651_CR35","doi-asserted-by":"crossref","first-page":"1185","DOI":"10.3233\/IFS-151729","volume":"29","author":"X Wang","year":"2015","unstructured":"Wang X, Ashfaq R, Fu A (2015) Fuzziness based sample categorization for classifier performance improvement. J Intell Fuzzy Syst 29(3):1185\u20131196","journal-title":"J Intell Fuzzy Syst"},{"issue":"5","key":"651_CR36","doi-asserted-by":"crossref","first-page":"2329","DOI":"10.3233\/IFS-141516","volume":"28","author":"X Wang","year":"2015","unstructured":"Wang X (2015) Learning from big data with uncertainty. J Intell Fuzzy Syst 28(5):2329\u20132330","journal-title":"J Intell Fuzzy Syst"},{"issue":"365","key":"651_CR37","doi-asserted-by":"crossref","first-page":"222","DOI":"10.1016\/j.ins.2016.01.037","volume":"364","author":"Y He","year":"2016","unstructured":"He Y, Wang X, Hua J, Huang Z (2016) Fuzzy nonlinear regression analysis using a random weight network. Inf Sci 364(365):222\u2013240","journal-title":"Inf Sci"},{"issue":"1","key":"651_CR38","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.eswa.2014.07.018","volume":"42","author":"Y He","year":"2015","unstructured":"He Y, James, Liu Y, Hu X, Wang (2015) OWA operator based link prediction ensemble for social network. Expert Syst Appl 42(1):21\u201350","journal-title":"Expert Syst Appl"},{"key":"651_CR39","doi-asserted-by":"publisher","unstructured":"Ashfaq R, Wang X, Huang J, Abbas H, He Y (2016) Fuzziness based semi-supervised learning approach for intrusion detection system. Inf Sci. doi:\n10.1016\/j.ins.2016.04.019\n\n (in press)","DOI":"10.1016\/j.ins.2016.04.019"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13042-017-0651-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-017-0651-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-017-0651-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,7,14]],"date-time":"2018-07-14T04:07:01Z","timestamp":1531541221000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13042-017-0651-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,3,29]]},"references-count":39,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2018,8]]}},"alternative-id":["651"],"URL":"https:\/\/doi.org\/10.1007\/s13042-017-0651-2","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"type":"print","value":"1868-8071"},{"type":"electronic","value":"1868-808X"}],"subject":[],"published":{"date-parts":[[2017,3,29]]}}}