{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,26]],"date-time":"2025-09-26T13:15:19Z","timestamp":1758892519323,"version":"3.37.3"},"reference-count":51,"publisher":"Springer Science and Business Media LLC","issue":"21","license":[{"start":{"date-parts":[[2023,4,18]],"date-time":"2023-04-18T00:00:00Z","timestamp":1681776000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,4,18]],"date-time":"2023-04-18T00:00:00Z","timestamp":1681776000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100012165","name":"Key Technologies Research and Development Program","doi-asserted-by":"publisher","award":["2020YFC1512002"],"award-info":[{"award-number":["2020YFC1512002"]}],"id":[{"id":"10.13039\/501100012165","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2023,7]]},"DOI":"10.1007\/s00521-023-08474-4","type":"journal-article","created":{"date-parts":[[2023,4,18]],"date-time":"2023-04-18T07:02:39Z","timestamp":1681801359000},"page":"15775-15790","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Finite-time anti-synchronization and fixed-time quasi-anti-synchronization for complex-valued neural networks with time-varying delay and application"],"prefix":"10.1007","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0468-7335","authenticated-orcid":false,"given":"Meng","family":"Hui","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"JiaHuang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ning","family":"Yao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weizhe","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,4,18]]},"reference":[{"key":"8474_CR1","doi-asserted-by":"crossref","first-page":"97536","DOI":"10.1109\/ACCESS.2019.2928597","volume":"7","author":"X Wei","year":"2019","unstructured":"Wei X, Zhang Z, Zhong M, Liu M, Wang Z (2019) Anti-synchronization for complex-valued bidirectional associative memory neural networks with time-varying delays. IEEE Access 7:97536\u201397548","journal-title":"IEEE Access"},{"issue":"03","key":"8474_CR2","doi-asserted-by":"crossref","first-page":"1850028","DOI":"10.1142\/S0217984918500288","volume":"32","author":"W Wang","year":"2018","unstructured":"Wang W, Yuan M, Luo X, Liu L, Zhang Y (2018) Anti-synchronization control of bam Memristive neural networks with multiple proportional delays and stochastic perturbations. Modern Phys Lett B 32(03):1850028","journal-title":"Modern Phys Lett B"},{"key":"8474_CR3","first-page":"104","volume":"16","author":"S Zhang","year":"2015","unstructured":"Zhang S, Yu Y, Wang H (2015) Mittag-Leffler stability of fractional-order Hopfield neural networks. Nonlinear Anal: Hybrid Syst 16:104\u2013121","journal-title":"Nonlinear Anal: Hybrid Syst"},{"issue":"4","key":"8474_CR4","doi-asserted-by":"crossref","first-page":"775","DOI":"10.1007\/s00521-015-2105-7","volume":"28","author":"Y Zhou","year":"2017","unstructured":"Zhou Y, Li C, Huang T, Wang X (2017) Impulsive stabilization and synchronization of Hopfield-type neural networks with impulse time window. Neural Comput Appl 28(4):775\u2013782","journal-title":"Neural Comput Appl"},{"key":"8474_CR5","doi-asserted-by":"crossref","first-page":"55676","DOI":"10.1109\/ACCESS.2020.2982043","volume":"8","author":"M Hui","year":"2020","unstructured":"Hui M, Luo N, Iu HH-C, Wu Q, Yao R, Bai L (2020) Pinning synchronization via intermittent control for memristive Cohen\u2013Grossberg neural networks with mixed delays. IEEE Access 8:55676\u201355687","journal-title":"IEEE Access"},{"key":"8474_CR6","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.neucom.2017.01.069","volume":"239","author":"T Wei","year":"2017","unstructured":"Wei T, Wang L, Wang Y (2017) Existence, uniqueness and stability of mild solutions to stochastic reaction\u2013diffusion Cohen\u2013Grossberg neural networks with delays and wiener processes. Neurocomputing 239:19\u201327","journal-title":"Neurocomputing"},{"issue":"3","key":"8474_CR7","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1016\/0893-6080(94)00083-X","volume":"8","author":"K Matsuoka","year":"1995","unstructured":"Matsuoka K, Ohoya M, Kawamoto M (1995) A neural net for blind separation of nonstationary signals. Neural Netw 8(3):411\u2013419","journal-title":"Neural Netw"},{"key":"8474_CR8","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780198538493.001.0001","volume-title":"Neural networks for pattern recognition","author":"CM Bishop","year":"1995","unstructured":"Bishop CM et al (1995) Neural networks for pattern recognition. Clarendon Press, New York"},{"key":"8474_CR9","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/j.neunet.2014.09.003","volume":"61","author":"J Schmidhuber","year":"2015","unstructured":"Schmidhuber J (2015) Deep learning in neural networks: an overview. Neural Netw 61:85\u2013117","journal-title":"Neural Netw"},{"key":"8474_CR10","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/j.neunet.2017.09.008","volume":"96","author":"D Liu","year":"2017","unstructured":"Liu D, Zhu S, Ye E (2017) Synchronization stability of memristor-based complex-valued neural networks with time delays. Neural Netw 96:115\u2013127","journal-title":"Neural Netw"},{"key":"8474_CR11","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/j.neucom.2019.02.051","volume":"340","author":"X Li","year":"2019","unstructured":"Li X, Zhang W, Fang J-A, Li H (2019) Finite-time synchronization of memristive neural networks with discontinuous activation functions and mixed time-varying delays. Neurocomputing 340:99\u2013109","journal-title":"Neurocomputing"},{"key":"8474_CR12","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.amc.2017.09.019","volume":"320","author":"H Yang","year":"2018","unstructured":"Yang H, Wang X, Zhong S, Shu L (2018) Synchronization of nonlinear complex dynamical systems via delayed impulsive distributed control. Appl Math Comput 320:75\u201385","journal-title":"Appl Math Comput"},{"issue":"6","key":"8474_CR13","doi-asserted-by":"crossref","first-page":"2398","DOI":"10.1109\/TCYB.2018.2821119","volume":"49","author":"X Liu","year":"2018","unstructured":"Liu X, Ho DW, Song Q, Xu W (2018) Finite\/fixed-time pinning synchronization of complex networks with stochastic disturbances. IEEE Trans Cybern 49(6):2398\u20132403","journal-title":"IEEE Trans Cybern"},{"key":"8474_CR14","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1016\/j.chaos.2017.11.024","volume":"106","author":"Y Wang","year":"2018","unstructured":"Wang Y, Yu H (2018) Fuzzy synchronization of chaotic systems via intermittent control. Chaos Solitons Fractals 106:154\u2013160","journal-title":"Chaos Solitons Fractals"},{"issue":"10","key":"8474_CR15","doi-asserted-by":"crossref","first-page":"3021","DOI":"10.1109\/TCYB.2017.2749248","volume":"48","author":"C Xu","year":"2017","unstructured":"Xu C, Yang X, Lu J, Feng J, Alsaadi FE, Hayat T (2017) Finite-time synchronization of networks via quantized intermittent pinning control. IEEE Trans Cybern 48(10):3021\u20133027","journal-title":"IEEE Trans Cybern"},{"key":"8474_CR16","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1016\/j.neunet.2021.11.023","volume":"146","author":"W Wei","year":"2022","unstructured":"Wei W, Yu J, Wang L, Hu C, Jiang H (2022) Fixed\/preassigned-time synchronization of quaternion-valued neural networks via pure power-law control. Neural Netw 146:341\u2013350","journal-title":"Neural Netw"},{"key":"8474_CR17","first-page":"236","volume":"25","author":"L Wang","year":"2022","unstructured":"Wang L, Zeng K, Hu C, Zhou Y (2022) Multiple finite-time synchronization of delayed inertial neural networks via a unified control scheme. Knowl Based Syst 25:236","journal-title":"Knowl Based Syst"},{"issue":"5","key":"8474_CR18","doi-asserted-by":"crossref","first-page":"1436","DOI":"10.1109\/TFUZZ.2021.3059953","volume":"30","author":"Z Zhang","year":"2022","unstructured":"Zhang Z, Cao J (2022) Finite-time synchronization for fuzzy inertial neural networks by maximum value approach. IEEE Trans Fuzzy Syst 30(5):1436\u20131446","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"2","key":"8474_CR19","doi-asserted-by":"crossref","first-page":"023113","DOI":"10.1063\/1.2731306","volume":"17","author":"J Meng","year":"2007","unstructured":"Meng J, Wang X-y (2007) Robust anti-synchronization of a class of delayed chaotic neural networks. Chaos Interdiscip J Nonlinear Sci 17(2):023113","journal-title":"Chaos Interdiscip J Nonlinear Sci"},{"issue":"4","key":"8474_CR20","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1016\/j.neucom.2010.09.016","volume":"74","author":"H Zhao","year":"2011","unstructured":"Zhao H, Zhang Q (2011) Global impulsive exponential anti-synchronization of delayed chaotic neural networks. Neurocomputing 74(4):563\u2013567","journal-title":"Neurocomputing"},{"issue":"5","key":"8474_CR21","doi-asserted-by":"crossref","first-page":"2540","DOI":"10.1109\/TCYB.2019.2938201","volume":"51","author":"J Shi","year":"2019","unstructured":"Shi J, Zeng Z (2019) Anti-synchronization of delayed state-based switched inertial neural networks. IEEE Trans Cybern 51(5):2540\u20132549","journal-title":"IEEE Trans Cybern"},{"key":"8474_CR22","doi-asserted-by":"crossref","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. Neural Netw 123:1\u201311","journal-title":"Neural Netw"},{"issue":"24","key":"8474_CR23","doi-asserted-by":"crossref","first-page":"1850287","DOI":"10.1142\/S0217984918502871","volume":"32","author":"M Yuan","year":"2018","unstructured":"Yuan M, Wang W, Luo X, Li L (2018) Asymptotic anti-synchronization of memristor-based BAM neural networks with probabilistic mixed time-varying delays and its application. Mod Phys Lett B 32(24):1850287","journal-title":"Mod Phys Lett B"},{"key":"8474_CR24","doi-asserted-by":"crossref","unstructured":"Liu D, Ye D (2018) Anti-synchronization of neural networks with mixed delays. In: International conference on neural information processing, pp 361\u2013370. Springer","DOI":"10.1007\/978-3-030-04179-3_32"},{"issue":"5","key":"8474_CR25","doi-asserted-by":"crossref","first-page":"1735","DOI":"10.1109\/TCYB.2018.2812708","volume":"49","author":"D Liu","year":"2018","unstructured":"Liu D, Zhu S, Sun K (2018) Global anti-synchronization of complex-valued memristive neural networks with time delays. IEEE Trans Cybern 49(5):1735\u20131747","journal-title":"IEEE Trans Cybern"},{"key":"8474_CR26","doi-asserted-by":"crossref","first-page":"1595","DOI":"10.1016\/j.neucom.2017.09.097","volume":"275","author":"L Wang","year":"2018","unstructured":"Wang L, Chen T (2018) Finite-time anti-synchronization of neural networks with time-varying delays. Neurocomputing 275:1595\u20131600","journal-title":"Neurocomputing"},{"key":"8474_CR27","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1016\/j.neucom.2018.10.057","volume":"329","author":"L Wang","year":"2019","unstructured":"Wang L, Chen T (2019) Finite-time and fixed-time anti-synchronization of neural networks with time-varying delays. Neurocomputing 329:165\u2013171","journal-title":"Neurocomputing"},{"key":"8474_CR28","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1016\/j.neucom.2020.01.035","volume":"387","author":"X Liu","year":"2020","unstructured":"Liu X, Li Z (2020) Finite time anti-synchronization of complex-valued neural networks with bounded asynchronous time-varying delays. Neurocomputing 387:129\u2013138","journal-title":"Neurocomputing"},{"issue":"2","key":"8474_CR29","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1007\/s11431-016-9054-y","volume":"61","author":"X Yang","year":"2018","unstructured":"Yang X, Cao J, Xu C, Feng J (2018) Finite-time stabilization of switched dynamical networks with quantized couplings via quantized controller. Sci China Technol Sci 61(2):299\u2013308","journal-title":"Sci China Technol Sci"},{"issue":"3","key":"8474_CR30","doi-asserted-by":"crossref","first-page":"2073","DOI":"10.1007\/s11063-019-09985-9","volume":"50","author":"W Zhang","year":"2019","unstructured":"Zhang W, Yang S, Li C, Li Z (2019) Finite-time and fixed-time synchronization of complex networks with discontinuous nodes via quantized control. Neural Process Lett 50(3):2073\u20132086","journal-title":"Neural Process Lett"},{"issue":"5","key":"8474_CR31","doi-asserted-by":"crossref","first-page":"734","DOI":"10.1109\/TAC.2005.847044","volume":"50","author":"Q Ling","year":"2005","unstructured":"Ling Q, Lemmon MD (2005) Stability of quantized control systems under dynamic bit assignment. IEEE Trans Autom Control 50(5):734\u2013740","journal-title":"IEEE Trans Autom Control"},{"issue":"5","key":"8474_CR32","doi-asserted-by":"crossref","first-page":"2117","DOI":"10.1109\/TNNLS.2020.2997195","volume":"32","author":"Q Wang","year":"2020","unstructured":"Wang Q, Wang J-L (2020) Finite-time output synchronization of undirected and directed coupled neural networks with output coupling. IEEE Trans Neural Netw Learn Syst 32(5):2117\u20132128","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"8474_CR33","doi-asserted-by":"crossref","first-page":"111434","DOI":"10.1016\/j.chaos.2021.111434","volume":"152","author":"Q Yao","year":"2021","unstructured":"Yao Q (2021) Neural adaptive learning synchronization of second-order uncertain chaotic systems with prescribed performance guarantees. Chaos Solitons Fractals 152:111434","journal-title":"Chaos Solitons Fractals"},{"issue":"1","key":"8474_CR34","doi-asserted-by":"crossref","first-page":"473","DOI":"10.1016\/j.jfranklin.2019.11.072","volume":"357","author":"K Xiong","year":"2020","unstructured":"Xiong K, Yu J, Hu C, Jiang H (2020) Synchronization in finite\/fixed time of fully complex-valued dynamical networks via nonseparation approach. J Frankl Inst 357(1):473\u2013493","journal-title":"J Frankl Inst"},{"key":"8474_CR35","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1016\/j.neucom.2020.07.071","volume":"415","author":"F Ren","year":"2020","unstructured":"Ren F, Jiang M, Xu H, Li M (2020) Quasi fixed-time synchronization of memristive Cohen\u2013Grossberg neural networks with reaction\u2013diffusion. Neurocomputing 415:74\u201383","journal-title":"Neurocomputing"},{"key":"8474_CR36","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1016\/j.neunet.2022.06.002","volume":"153","author":"C Zhang","year":"2022","unstructured":"Zhang C, Hu C, Yu J, Jiang H (2022) Fixed-time synchronization of discontinuous competitive neural networks with time-varying delays. Neural Netw 153:192\u2013203","journal-title":"Neural Netw"},{"issue":"2","key":"8474_CR37","doi-asserted-by":"crossref","first-page":"905","DOI":"10.1109\/TSMC.2018.2888867","volume":"51","author":"L Wang","year":"2019","unstructured":"Wang L, Zeng Z, Ge M-F (2019) A disturbance rejection framework for finite-time and fixed-time stabilization of delayed memristive neural networks. IEEE Trans Syst Man Cybern Syst 51(2):905\u2013915","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"issue":"5","key":"8474_CR38","doi-asserted-by":"crossref","first-page":"1476","DOI":"10.1109\/TNNLS.2018.2868800","volume":"30","author":"Z Zhang","year":"2019","unstructured":"Zhang Z, Cao J (2019) Novel finite-time synchronization criteria for inertial neural networks with time delays via integral inequality method. IEEE Trans Neural Netw Learn Syst 30(5):1476\u20131485","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"8474_CR39","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.neucom.2019.09.034","volume":"373","author":"Z Zhang","year":"2020","unstructured":"Zhang Z, Chen M, Li A (2020) Further study on finite-time synchronization for delayed inertial neural networks via inequality skills. Neurocomputing 373:15\u201323","journal-title":"Neurocomputing"},{"key":"8474_CR40","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.neunet.2018.04.008","volume":"105","author":"D Liu","year":"2018","unstructured":"Liu D, Zhu S, Sun K (2018) Anti-synchronization of complex-valued memristor-based delayed neural networks. Neural Netw 105:1\u201313","journal-title":"Neural Netw"},{"key":"8474_CR41","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1016\/j.neunet.2016.03.007","volume":"79","author":"Q Song","year":"2016","unstructured":"Song Q, Yan H, Zhao Z, Liu Y (2016) Global exponential stability of complex-valued neural networks with both time-varying delays and impulsive effects. Neural Netw 79:108\u2013116","journal-title":"Neural Netw"},{"key":"8474_CR42","doi-asserted-by":"crossref","first-page":"222","DOI":"10.1016\/j.amc.2017.05.078","volume":"313","author":"Y Shi","year":"2017","unstructured":"Shi Y, Cao J, Chen G (2017) Exponential stability of complex-valued memristor-based neural networks with time-varying delays. Appl Math Comput 313:222\u2013234","journal-title":"Appl Math Comput"},{"key":"8474_CR43","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1016\/j.neucom.2018.08.063","volume":"318","author":"Z Zhang","year":"2018","unstructured":"Zhang Z, Li A, Yu S (2018) Finite-time synchronization for delayed complex-valued neural networks via integrating inequality method. Neurocomputing 318:248\u2013260","journal-title":"Neurocomputing"},{"issue":"1","key":"8474_CR44","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1007\/s11063-018-9805-9","volume":"49","author":"D Xie","year":"2019","unstructured":"Xie D, Jiang Y, Han M (2019) Global exponential synchronization of complex-valued neural networks with time delays via matrix measure method. Neural Process Lett 49(1):187\u2013201","journal-title":"Neural Process Lett"},{"key":"8474_CR45","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.neunet.2016.05.003","volume":"81","author":"H Bao","year":"2016","unstructured":"Bao H, Park JH, Cao J (2016) Synchronization of fractional-order complex-valued neural networks with time delay. Neural Netw 81:16\u201328","journal-title":"Neural Netw"},{"key":"8474_CR46","first-page":"1","volume":"99","author":"L Feng","year":"2020","unstructured":"Feng L, Yu J, Hu C, Yang C, Jiang H (2020) Nonseparation method-based finite\/fixed-time synchronization of fully complex-valued discontinuous neural networks. IEEE Trans Cybern 99:1\u201312","journal-title":"IEEE Trans Cybern"},{"key":"8474_CR47","doi-asserted-by":"crossref","first-page":"244","DOI":"10.1016\/j.chaos.2018.06.013","volume":"113","author":"M Yuan","year":"2018","unstructured":"Yuan M, Wang W, Luo X, Liu L, Zhao W (2018) Finite-time anti-synchronization of memristive stochastic bam neural networks with probabilistic time-varying delays. Chaos Solitons Fractals 113:244\u2013260","journal-title":"Chaos Solitons Fractals"},{"issue":"1","key":"8474_CR48","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1007\/s11063-015-9417-6","volume":"43","author":"W Wang","year":"2016","unstructured":"Wang W, Li L, Peng H, Kurths J, Xiao J, Yang Y (2016) Anti-synchronization control of memristive neural networks with multiple proportional delays. Neural Process Lett 43(1):269\u2013283","journal-title":"Neural Process Lett"},{"key":"8474_CR49","doi-asserted-by":"crossref","first-page":"312","DOI":"10.1016\/j.neucom.2020.06.080","volume":"412","author":"X Wei","year":"2020","unstructured":"Wei X, Zhang Z, Liu M, Wang Z, Chen J (2020) Anti-synchronization for complex-valued neural networks with leakage delay and time-varying delays. Neurocomputing 412:312\u2013319","journal-title":"Neurocomputing"},{"issue":"3","key":"8474_CR50","doi-asserted-by":"crossref","first-page":"593","DOI":"10.1109\/TNNLS.2015.2415496","volume":"27","author":"X Liu","year":"2015","unstructured":"Liu X, Chen T (2015) Global exponential stability for complex-valued recurrent neural networks with asynchronous time delays. IEEE Trans Neural Netw Learn Syst 27(3):593\u2013606","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"9","key":"8474_CR51","doi-asserted-by":"crossref","first-page":"2022","DOI":"10.1109\/TFUZZ.2019.2930032","volume":"28","author":"L Wang","year":"2019","unstructured":"Wang L, He H, Zeng Z (2019) Global synchronization of fuzzy memristive neural networks with discrete and distributed delays. IEEE Trans Fuzzy Syst 28(9):2022\u20132034","journal-title":"IEEE Trans Fuzzy Syst"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-023-08474-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-023-08474-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-023-08474-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,10]],"date-time":"2023-12-10T20:58:28Z","timestamp":1702241908000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-023-08474-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,18]]},"references-count":51,"journal-issue":{"issue":"21","published-print":{"date-parts":[[2023,7]]}},"alternative-id":["8474"],"URL":"https:\/\/doi.org\/10.1007\/s00521-023-08474-4","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"type":"print","value":"0941-0643"},{"type":"electronic","value":"1433-3058"}],"subject":[],"published":{"date-parts":[[2023,4,18]]},"assertion":[{"value":"7 September 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 March 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 April 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declared that they have no conflict of interest to this work.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}