{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T03:40:58Z","timestamp":1778730058090,"version":"3.51.4"},"reference-count":57,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2022,4,12]],"date-time":"2022-04-12T00:00:00Z","timestamp":1649721600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,4,12]],"date-time":"2022-04-12T00:00:00Z","timestamp":1649721600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"name":"National Natural Science Foun- dation of People\u2019s Republic of China","award":["Grant No. 12061055"],"award-info":[{"award-number":["Grant No. 12061055"]}]},{"name":"National Natural Science Foun- dation of People\u2019s Republic of China","award":["Grant No. 12101454"],"award-info":[{"award-number":["Grant No. 12101454"]}]},{"name":"Ningxia Natural Science Foundation","award":["Grant No. 2020AAC03131"],"award-info":[{"award-number":["Grant No. 2020AAC03131"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Process Lett"],"published-print":{"date-parts":[[2022,10]]},"DOI":"10.1007\/s11063-022-10808-7","type":"journal-article","created":{"date-parts":[[2022,4,12]],"date-time":"2022-04-12T13:02:40Z","timestamp":1649768560000},"page":"4265-4296","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Preassigned-Time Synchronization of Delayed Fuzzy Cellular Neural Networks with Discontinuous Activations"],"prefix":"10.1007","volume":"54","author":[{"given":"Hao","family":"Pu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fengjun","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,4,12]]},"reference":[{"issue":"9","key":"10808_CR1","doi-asserted-by":"publisher","first-page":"4303","DOI":"10.1109\/TNNLS.2017.2756993","volume":"29","author":"X Cao","year":"2018","unstructured":"Cao X, Shi P, Li Z et al (2018) Neural network based adaptive backstepping control with application to spacecraft attitude regulation[J]. IEEE Trans Neural Netw Learn Syst 29(9):4303\u20134313","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"8","key":"10808_CR2","doi-asserted-by":"publisher","first-page":"1889","DOI":"10.1109\/TNNLS.2016.2552640","volume":"28","author":"X Hu","year":"2017","unstructured":"Hu X, Feng G, Duan S et al (2017) A memristive multilayer cellular neural network with applications to image processing[J]. IEEE Trans Neural Netw Learn Syst 28(8):1889\u20131901","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"10808_CR3","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1016\/j.neucom.2021.06.089","volume":"460","author":"D Chen","year":"2021","unstructured":"Chen D, Cao X, Li S (2021) A multi-constrained zeroing neural network for time-dependent nonlinear optimization with application to mobile robot tracking control[J]. Neurocomputing 460:331\u2013344","journal-title":"Neurocomputing"},{"issue":"7","key":"10808_CR4","doi-asserted-by":"publisher","first-page":"1681","DOI":"10.1007\/s00521-015-1837-8","volume":"26","author":"G Duzenli","year":"2015","unstructured":"Duzenli G (2015) A new security approach for public transport application against tag cloning with neural network-based pattern recognition[J]. Neural Comput Appl 26(7):1681\u20131691","journal-title":"Neural Comput Appl"},{"issue":"11","key":"10808_CR5","doi-asserted-by":"publisher","first-page":"5931","DOI":"10.1109\/TII.2019.2909142","volume":"15","author":"H Lu","year":"2019","unstructured":"Lu H, Jin L, Luo X et al (2019) RNN for solving perturbed time-varying underdetermined linear system with double bound limits on residual errors and state variables[J]. IEEE Trans Ind Inform 15(11):5931\u20135942","journal-title":"IEEE Trans Ind Inform"},{"issue":"2","key":"10808_CR6","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1109\/TNNLS.2016.2516565","volume":"28","author":"S Li","year":"2017","unstructured":"Li S, He J, Li Y et al (2017) Distributed recurrent neural networks for cooperative control of manipulators: a game-theoretic perspective[J]. IEEE Trans Neural Netw Learn Syst 28(2):415\u2013426","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"10808_CR7","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1016\/j.neucom.2013.01.026","volume":"117","author":"Y Ke","year":"2013","unstructured":"Ke Y, Miao C (2013) Stability analysis of inertial Cohen-Grossberg-type neural networks with time delays[J]. Neurocomputing 117:196\u2013205","journal-title":"Neurocomputing"},{"key":"10808_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.neunet.2018.02.003","volume":"102","author":"H Liu","year":"2018","unstructured":"Liu H, Wang Z, Shen B et al (2018) Stability analysis for discrete-time stochastic memristive neural networks with both leakage and probabilistic delay[J]. Neural Netw 102:1\u20139","journal-title":"Neural Netw"},{"issue":"9","key":"10808_CR9","doi-asserted-by":"publisher","first-page":"3533","DOI":"10.1016\/j.apm.2008.11.017","volume":"33","author":"Q Song","year":"2009","unstructured":"Song Q, Wang Z (2009) Dynamical behaviors of fuzzy reaction-diffusion periodic cellular neural networks with variable coefficients and delays[J]. Appl Math Modell 33(9):3533\u20133545","journal-title":"Appl Math Modell"},{"key":"10808_CR10","first-page":"124896","volume":"369","author":"MS Ali","year":"2020","unstructured":"Ali MS, Narayanan G, Shekher V et al (2020) Dynamic stability analysis of stochastic fractional-order memristor fuzzy BAM neural networks with delay and leakage terms[J]. Appl Math Comput 369:124896","journal-title":"Appl Math Comput"},{"issue":"C","key":"10808_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.matcom.2018.10.007","volume":"159","author":"Y Liu","year":"2019","unstructured":"Liu Y, Song Z, Tan M (2019) Multiple stability and multiperiodicity of delayed memristor-based fuzzy cellular neural networks with nonmonotonic activation functions[J]. Math Comput Simul 159(C):1\u201317","journal-title":"Math Comput Simul"},{"key":"10808_CR12","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3070966","author":"Q Gan","year":"2021","unstructured":"Gan Q, Li L, Yang J et al (2021) Improved results on fixed-\/preassigned-time synchronization for memristive complex-valued neural networks[J]. IEEE Trans Neural Netw Learn Syst. https:\/\/doi.org\/10.1109\/TNNLS.2021.3070966","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"10808_CR13","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1016\/j.neucom.2017.02.059","volume":"242","author":"X Wang","year":"2017","unstructured":"Wang X, She K, Zhong S (2017) Exponential synchronization of memristor-based neural networks with time-varying delay and stochastic perturbation[J]. Neurocomputing 242:131\u2013139","journal-title":"Neurocomputing"},{"issue":"5","key":"10808_CR14","doi-asserted-by":"publisher","first-page":"895","DOI":"10.1016\/j.matcom.2011.11.006","volume":"82","author":"J Yu","year":"2012","unstructured":"Yu J, Hu C, Jiang H et al (2012) Exponential lag synchronization for delayed fuzzy cellular neural networks via periodically intermittent control[J]. Math Comput Simul 82(5):895\u2013908","journal-title":"Math Comput Simul"},{"key":"10808_CR15","unstructured":"Yang T, Yang L, Wu CW et al. (1996) Fuzzy cellular neural networks: theory. In: proceedings of the 1996 4th IEEE International workshop on cellular neural networks, and their applications, CNNA-96, 181-186"},{"issue":"3","key":"10808_CR16","doi-asserted-by":"publisher","first-page":"878","DOI":"10.1016\/j.chaos.2007.01.032","volume":"38","author":"J Wang","year":"2008","unstructured":"Wang J, Lu JG (2008) Global exponential stability of fuzzy cellular neural networks with delays and reaction-diffusion terms[J]. Chaos Solitons Fractals 38(3):878\u2013885","journal-title":"Chaos Solitons Fractals"},{"issue":"3","key":"10808_CR17","doi-asserted-by":"publisher","first-page":"911","DOI":"10.1109\/TCYB.2018.2877410","volume":"50","author":"L Shanmugam","year":"2020","unstructured":"Shanmugam L, Mani P, Rajan R et al (2020) Adaptive synchronization of reaction-diffusion neural networks and its application to secure communication[J]. IEEE Trans Cybernet 50(3):911\u2013922","journal-title":"IEEE Trans Cybernet"},{"issue":"7","key":"10808_CR18","doi-asserted-by":"publisher","first-page":"1493","DOI":"10.1109\/TNNLS.2014.2387355","volume":"26","author":"S Wen","year":"2015","unstructured":"Wen S, Zeng Z, Huang T et al (2015) Lag synchronization of switched neural networks via neural activation function and applications in image encryption[J]. IEEE Trans Neural Netw Learn Syst 26(7):1493\u20131502","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"10808_CR19","doi-asserted-by":"publisher","first-page":"1862","DOI":"10.1016\/j.cnsns.2011.08.029","volume":"17","author":"Q Gan","year":"2012","unstructured":"Gan Q, Xu R, Yang P (2012) Exponential synchronization of stochastic fuzzy cellular neural networks with time delay in the leakage term and reaction-diffusion[J]. Commun Nonlinear Sci Numer Simul 17:1862\u20131870","journal-title":"Commun Nonlinear Sci Numer Simul"},{"issue":"13","key":"10808_CR20","doi-asserted-by":"publisher","first-page":"3271","DOI":"10.1016\/j.jfranklin.2016.06.002","volume":"353","author":"J Gao","year":"2016","unstructured":"Gao J, Zhua P, Xiong W et al (2016) Asymptotic synchronization for stochastic memristor-based neural networks with noise disturbance[J]. J Franklin Inst 353(13):3271\u20133289","journal-title":"J Franklin Inst"},{"key":"10808_CR21","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1016\/j.neunet.2018.11.010","volume":"113","author":"R Tang","year":"2019","unstructured":"Tang R, Yang X, Wan X (2019) Finite-time cluster synchronization for a class of fuzzy cellular neural networks via non-chattering quantized controllers[J]. Neural Netw 113:79\u201390","journal-title":"Neural Netw"},{"key":"10808_CR22","doi-asserted-by":"publisher","first-page":"6780","DOI":"10.1016\/j.jfranklin.2018.06.041","volume":"355","author":"M Zheng","year":"2018","unstructured":"Zheng M, Li L, Peng H et al (2018) Fixed-time synchronization of memristor-based fuzzy cellular neural network with time-varying delay[J]. J Franklin Inst 355:6780\u20136809","journal-title":"J Franklin Inst"},{"key":"10808_CR23","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1016\/j.neunet.2019.11.010","volume":"124","author":"N Li","year":"2020","unstructured":"Li N, Zheng WX (2020) Bipartite synchronization for inertia memristor-based neural networks on coopetition networks[J]. Neural Netw 124:39\u201349","journal-title":"Neural Netw"},{"issue":"5","key":"10808_CR24","doi-asserted-by":"publisher","first-page":"3525","DOI":"10.1007\/s11063-021-10552-4","volume":"53","author":"H He","year":"2021","unstructured":"He H, Liu X, Cao J et al (2021) Finite\/fixed-time synchronization of delayed inertial memristive neural networks with discontinuous activations and disturbances[J]. Neural Process Lett 53(5):3525\u20133544","journal-title":"Neural Process Lett"},{"key":"10808_CR25","doi-asserted-by":"publisher","first-page":"2106","DOI":"10.1109\/TAC.2011.2179869","volume":"57","author":"A Polyakov","year":"2012","unstructured":"Polyakov A (2012) Nonlinear feedback design for fixed-time stabilization of linear control systems. IEEE Trans Autom Control 57:2106\u20132110","journal-title":"IEEE Trans Autom Control"},{"key":"10808_CR26","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2021.3062206","author":"C Hu","year":"2021","unstructured":"Hu C, Jiang H (2021) Special functions-based fixed-time estimation and stabilization for dynamic systems[J]. IEEE Trans Syst Man Cybernet Syst. https:\/\/doi.org\/10.1109\/TSMC.2021.3062206","journal-title":"IEEE Trans Syst Man Cybernet Syst"},{"key":"10808_CR27","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1016\/j.neunet.2017.02.001","volume":"89","author":"C Hu","year":"2017","unstructured":"Hu C, Yu J, Chen Z et al (2017) Fixed-time stability of dynamical systems and fixed-time synchronization of coupled discontinuous neural networks[J]. Neural Netw 89:74\u201383","journal-title":"Neural Netw"},{"issue":"12","key":"10808_CR28","doi-asserted-by":"publisher","first-page":"4135","DOI":"10.1002\/rnc.4600","volume":"29","author":"R Aldana-Lopez","year":"2019","unstructured":"Aldana-Lopez R, Gomez-Gutierrez D, Jimenez-Rodriguez E et al (2019) Enhancing the settling time estimation of a class of fixed-time stable systems[J]. Int J Robust Nonlinear Control 29(12):4135\u20134148","journal-title":"Int J Robust Nonlinear Control"},{"key":"10808_CR29","first-page":"1","volume":"19","author":"N Li","year":"2020","unstructured":"Li N, Wu X, Feng J et al (2020) Fixed-time synchronization of complex dynamical networks: a novel and economical mechanism[J]. IEEE Trans Cybernet 19:1\u201311","journal-title":"IEEE Trans Cybernet"},{"key":"10808_CR30","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1016\/j.fss.2020.05.007","volume":"411","author":"W Cui","year":"2021","unstructured":"Cui W, Wang Z, Jin W (2021) Fixed-time synchronization of Markovian jump fuzzy cellular neural networks with stochastic disturbance and time-varying delays[J]. Fuzzy Sets Syst 411:68\u201384","journal-title":"Fuzzy Sets Syst"},{"key":"10808_CR31","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1016\/j.neucom.2020.09.014","volume":"422","author":"F Kong","year":"2021","unstructured":"Kong F, Zhu Q, Sakthivel R et al (2021) Fixed-time synchronization analysis for discontinuous fuzzy inertial neural networks with parameter uncertainties[J]. Neurocomputing 422:295\u2013313","journal-title":"Neurocomputing"},{"key":"10808_CR32","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1016\/j.fss.2020.04.016","volume":"416","author":"L Duan","year":"2021","unstructured":"Duan L, Shi M, Huang L (2021) New results on finite-\/fixed-time synchronization of delayed diffusive fuzzy HNNs with discontinuous activations[J]. Fuzzy Sets Syst 416:141\u2013151","journal-title":"Fuzzy Sets Syst"},{"key":"10808_CR33","doi-asserted-by":"publisher","first-page":"104682","DOI":"10.1016\/j.conengprac.2020.104682","volume":"107","author":"C Liang","year":"2021","unstructured":"Liang C, Ge M, Liu Z et al (2021) Predefined-time formation tracking control of networked marine surface vehicles[J]. Control Eng Pract 107:104682","journal-title":"Control Eng Pract"},{"key":"10808_CR34","doi-asserted-by":"publisher","first-page":"4212","DOI":"10.1016\/j.jfranklin.2020.01.001","volume":"357","author":"F Wang","year":"2020","unstructured":"Wang F, Miao Y, Li C et al (2020) Attitude control of rigid spacecraft with predefined-time stability[J]. J Franklin Inst 357:4212\u20134221","journal-title":"J Franklin Inst"},{"key":"10808_CR35","doi-asserted-by":"publisher","first-page":"110680","DOI":"10.1016\/j.chaos.2021.110680","volume":"144","author":"Y Wang","year":"2021","unstructured":"Wang Y, Wang Z, Chen M et al (2021) Predefined-time sliding mode formation control for multiple autonomous underwater vehicles with uncertainties[J]. Chaos Solitons Fractals 144:110680","journal-title":"Chaos Solitons Fractals"},{"key":"10808_CR36","doi-asserted-by":"publisher","first-page":"492","DOI":"10.1016\/j.neunet.2021.06.026","volume":"142","author":"C Chen","year":"2021","unstructured":"Chen C, Mi L, Liu Z et al (2021) Predefined-time synchronization of competitive neural networks[J]. Neural Netw 142:492\u2013499","journal-title":"Neural Netw"},{"issue":"6","key":"10808_CR37","doi-asserted-by":"publisher","first-page":"2882","DOI":"10.1109\/TCYB.2020.2977934","volume":"51","author":"C Hu","year":"2021","unstructured":"Hu C, He H, Jiang H (2021) Fixed\/preassigned-time synchronization of complex networks via improving fixed-time stability[J]. IEEE Trans Cybernet 51(6):2882\u20132892","journal-title":"IEEE Trans Cybernet"},{"issue":"8","key":"10808_CR38","doi-asserted-by":"publisher","first-page":"083110","DOI":"10.1063\/5.0010145","volume":"30","author":"L Lin","year":"2020","unstructured":"Lin L, Wu P, Chen Y et al (2020) Enhancing the settling time estimation of fixed-time stability and applying it to the predefined-time synchronization of delayed memristive neural networks with external unknown disturbance[J]. Chaos 30(8):083110","journal-title":"Chaos"},{"issue":"2","key":"10808_CR39","doi-asserted-by":"publisher","first-page":"1615","DOI":"10.1007\/s11063-021-10469-y","volume":"53","author":"Y Bao","year":"2021","unstructured":"Bao Y, Zhang Y, Zhang B et al (2021) Prescribed-time synchronization of coupled memristive neural networks with heterogeneous impulsive effect[J]. Neural Process Lett 53(2):1615\u20131632","journal-title":"Neural Process Lett"},{"key":"10808_CR40","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1016\/j.neucom.2020.08.043","volume":"419","author":"L Liu","year":"2021","unstructured":"Liu L, Ding X, Zhou W (2021) Prescribed-time cluster synchronization of uncertain complex dynamical networks with switching via pinning control[J]. Neurocomputing 419:136\u2013147","journal-title":"Neurocomputing"},{"issue":"7","key":"10808_CR41","doi-asserted-by":"publisher","first-page":"4724","DOI":"10.1109\/TII.2020.3021438","volume":"17","author":"L Xiao","year":"2021","unstructured":"Xiao L, Cao Y, Dai J et al (2021) Finite-time and predefined-time convergence design for zeroing neural network: theorem, method, and verification[J]. IEEE Trans Ind Inform 17(7):4724\u20134732","journal-title":"IEEE Trans Ind Inform"},{"issue":"11","key":"10808_CR42","doi-asserted-by":"publisher","first-page":"1421","DOI":"10.1109\/TCSI.2003.818614","volume":"50","author":"M Forti","year":"2003","unstructured":"Forti M, Nistri P (2003) Global convergence of neural networks with discontinuous neuron activations[J]. IEEE Trans Circ Syst I-Regular Papers 50(11):1421\u20131435","journal-title":"IEEE Trans Circ Syst I-Regular Papers"},{"issue":"2","key":"10808_CR43","first-page":"1370","volume":"168","author":"S Effati","year":"2005","unstructured":"Effati S, Baymani M (2005) A new nonlinear neural network for solving convex nonlinear programming problems[J]. Appl Math Comput 168(2):1370\u20131379","journal-title":"Appl Math Comput"},{"key":"10808_CR44","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.neunet.2016.12.007","volume":"89","author":"Z Arjmandzadeh","year":"2017","unstructured":"Arjmandzadeh Z, Safi M, Nazemi A (2017) A new neural network model for solving random interval linear programming problems[J]. Neural Netw 89:11\u201318","journal-title":"Neural Netw"},{"key":"10808_CR45","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1016\/j.neunet.2015.02.001","volume":"65","author":"Z Cai","year":"2015","unstructured":"Cai Z, Huang L, Zhang L (2015) New exponential synchronization criteria for time-varying delayed neural networks with discontinuous activations[J]. Neural Netw 65:105\u2013114","journal-title":"Neural Netw"},{"issue":"6","key":"10808_CR46","doi-asserted-by":"publisher","first-page":"2535","DOI":"10.1109\/TNNLS.2020.3006516","volume":"32","author":"J Xiao","year":"2021","unstructured":"Xiao J, Zeng Z, Wen S et al (2021) Finite-\/fixed-time synchronization of delayed coupled discontinuous neural networks with unified control schemes[J]. IEEE Trans Neural Netw Learn Syst 32(6):2535\u20132546","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"10808_CR47","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1016\/j.neunet.2016.12.006","volume":"87","author":"L Wang","year":"2017","unstructured":"Wang L, Zeng Z, Hu J et al (2017) Controller design for global fixed-time synchronization of delayed neural networks with discontinuous activations[J]. Neural Netw 87:122\u2013131","journal-title":"Neural Netw"},{"key":"10808_CR48","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1016\/j.fss.2018.04.017","volume":"361","author":"L Duan","year":"2019","unstructured":"Duan L, Wei H, Huang L (2019) Finite-time synchronization of delayed fuzzy cellular neural networks with discontinuous activation[J]. Fuzzy Sets Syst 361:56\u201370","journal-title":"Fuzzy Sets Syst"},{"key":"10808_CR49","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1016\/j.neucom.2018.04.053","volume":"308","author":"S Li","year":"2018","unstructured":"Li S, Peng X, Tang Y et al (2018) Finite-time synchronization of time-delayed neural networks with unknown parameters via adaptive control[J]. Neurocomputing 308:65\u201374","journal-title":"Neurocomputing"},{"key":"10808_CR50","doi-asserted-by":"publisher","first-page":"1531","DOI":"10.1016\/j.physa.2017.11.079","volume":"492","author":"W Zhang","year":"2018","unstructured":"Zhang W, Li C, Huang T et al (2018) Fixed-time synchronization of complex networks with nonidentical nodes and stochastic noise perturbations[J]. Phys A 492:1531\u20131542","journal-title":"Phys A"},{"key":"10808_CR51","doi-asserted-by":"publisher","first-page":"121351","DOI":"10.1016\/j.physa.2019.121351","volume":"527","author":"H Deng","year":"2019","unstructured":"Deng H, Bao H (2019) Fixed-time synchronization of quaternion-valued neural networks[J]. Phys A 527:121351","journal-title":"Phys A"},{"key":"10808_CR52","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1016\/j.fss.2015.07.009","volume":"297","author":"A Abdurahman","year":"2016","unstructured":"Abdurahman A, Jiang H, Teng Z (2016) Finite-time synchronization for fuzzy cellular neural networks with time-varying delays[J]. Fuzzy Sets Syst 297:96\u2013111","journal-title":"Fuzzy Sets Syst"},{"key":"10808_CR53","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.neunet.2019.11.012","volume":"123","author":"P Wan","year":"2020","unstructured":"Wan P, Sun D, Zhao M (2020) Finite-time and fixed-time anti-synchronization of Markovian neural networks with stochastic disturbances via switching control[J]. Neural Netw 123:1\u201311","journal-title":"Neural Netw"},{"key":"10808_CR54","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1016\/j.neucom.2018.07.013","volume":"315","author":"Y Huang","year":"2018","unstructured":"Huang Y, Qiu S, Ren S et al (2018) Fixed-time synchronization of coupled Cohen-Grossberg neural networks with and without parameter uncertainties[J]. Neurocomput 315:157\u2013168","journal-title":"Neurocomput"},{"issue":"6","key":"10808_CR55","doi-asserted-by":"publisher","first-page":"2944","DOI":"10.1109\/TCYB.2019.2953236","volume":"51","author":"S Gong","year":"2021","unstructured":"Gong S, Guo Z, Wen S et al (2021) Finite-time and fixed-time synchronization of coupled memristive neural networks with time delay[J]. IEEE Trans Cybernet 51(6):2944\u20132955","journal-title":"IEEE Trans Cybernet"},{"key":"10808_CR56","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1016\/j.cam.2013.09.046","volume":"229","author":"Y Huang","year":"2014","unstructured":"Huang Y, Zhang H, Wang Z (2014) Multistability of complex-valued recurrent neural networks with real-imaginary-type activation functions[J]. Appl Math Comput 229:187\u2013200","journal-title":"Appl Math Comput"},{"key":"10808_CR57","doi-asserted-by":"publisher","first-page":"945","DOI":"10.1016\/j.neucom.2008.04.006","volume":"72","author":"MF Amin","year":"2009","unstructured":"Amin MF, Murase K (2009) Single-layered complex-valued neural network for real-valued classification problems[J]. Neurocomputing 72:945\u2013955","journal-title":"Neurocomputing"}],"container-title":["Neural Processing Letters"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-022-10808-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11063-022-10808-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-022-10808-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,22]],"date-time":"2022-10-22T17:44:42Z","timestamp":1666460682000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11063-022-10808-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4,12]]},"references-count":57,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2022,10]]}},"alternative-id":["10808"],"URL":"https:\/\/doi.org\/10.1007\/s11063-022-10808-7","relation":{},"ISSN":["1370-4621","1573-773X"],"issn-type":[{"value":"1370-4621","type":"print"},{"value":"1573-773X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,4,12]]},"assertion":[{"value":"17 March 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 April 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}