{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T16:19:13Z","timestamp":1762273153790,"version":"3.37.3"},"reference-count":48,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2023,11,23]],"date-time":"2023-11-23T00:00:00Z","timestamp":1700697600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,11,23]],"date-time":"2023-11-23T00:00:00Z","timestamp":1700697600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Shandong Provincial Natural Science Foundation, China","award":["No. ZR2020QF055"],"award-info":[{"award-number":["No. ZR2020QF055"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2024,2]]},"DOI":"10.1007\/s00521-023-09125-4","type":"journal-article","created":{"date-parts":[[2023,11,23]],"date-time":"2023-11-23T05:01:44Z","timestamp":1700715704000},"page":"2737-2748","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Adaptive prescribed performance control for state constrained stochastic nonlinear systems with unknown control direction: a novel network-based approach"],"prefix":"10.1007","volume":"36","author":[{"given":"Yu-Qun","family":"Han","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Na","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dong-Mei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ya-Feng","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6194-3614","authenticated-orcid":false,"given":"Shan-Liang","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,11,23]]},"reference":[{"issue":"12","key":"9125_CR1","doi-asserted-by":"crossref","first-page":"2671","DOI":"10.1016\/j.automatica.2011.08.050","volume":"47","author":"JL Yin","year":"2011","unstructured":"Yin JL, Khoo SY, Man ZH, Yu XH (2011) Finite-time stability and instability of stochastic nonlinear systems. Automatica 47(12):2671\u20132677","journal-title":"Automatica"},{"issue":"2","key":"9125_CR2","doi-asserted-by":"crossref","first-page":"841","DOI":"10.1016\/j.jmaa.2013.12.021","volume":"413","author":"FZ Li","year":"2014","unstructured":"Li FZ, Liu YG (2014) Global stability and stabilization of more general stochastic nonlinear systems. J Math Anal Appl 413(2):841\u2013855","journal-title":"J Math Anal Appl"},{"key":"9125_CR3","volume":"117","author":"LQ Yao","year":"2020","unstructured":"Yao LQ, Zhang WH, Xie XJ (2020) Stability analysis of random nonlinear systems with time-varying delay and its application. Automatica 117:108994","journal-title":"Automatica"},{"issue":"9","key":"9125_CR4","doi-asserted-by":"crossref","first-page":"2271","DOI":"10.1016\/j.automatica.2012.06.033","volume":"48","author":"M Mahmood","year":"2012","unstructured":"Mahmood M, Mhaskar P (2012) Lyapunov-based model predictive control of stochastic nonlinear systems. Automatica 48(9):2271\u20132276","journal-title":"Automatica"},{"issue":"1","key":"9125_CR5","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1006\/jmaa.2001.7803","volume":"268","author":"XR Mao","year":"2002","unstructured":"Mao XR (2002) A note on the LaSalle-type theorems for stochastic differential delay equations. J Math Anal Appl 268(1):125\u2013142","journal-title":"JJ Math Anal Appl"},{"issue":"4","key":"9125_CR6","doi-asserted-by":"crossref","first-page":"997","DOI":"10.1016\/j.automatica.2008.12.002","volume":"45","author":"ZJ Wu","year":"2009","unstructured":"Wu ZJ, Xie XJ, Shi P, Xia YQ (2009) Backstepping controller design for a class of stochastic nonlinear systems with Markovian switching. Automatica 45(4):997\u20131004","journal-title":"Automatica"},{"key":"9125_CR7","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.automatica.2017.01.002","volume":"79","author":"QL Zhang","year":"2017","unstructured":"Zhang QL, Li L, Yan XG, Spurgeon SK (2017) Sliding mode control for singular stochastic markovian jump systems with uncertainties. Automatica 79:27\u201334","journal-title":"Automatica"},{"issue":"2","key":"9125_CR8","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1016\/j.automatica.2006.08.028","volume":"43","author":"SJ Liu","year":"2007","unstructured":"Liu SJ, Zhang JF, Jiang ZP (2007) Decentralized adaptive output-feedback stabilization for large-scale stochastic nonlinear systems. Automatica 43(2):238\u2013251","journal-title":"Automatica"},{"issue":"4","key":"9125_CR9","doi-asserted-by":"crossref","first-page":"819","DOI":"10.1016\/j.automatica.2011.01.084","volume":"47","author":"WQ Li","year":"2011","unstructured":"Li WQ, Jing YW, Zhang SY (2011) Adaptive state-feedback stabilization for a large class of high-order stochastic nonlinear systems. Automatica 47(4):819\u2013828","journal-title":"Automatica"},{"issue":"2","key":"9125_CR10","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1109\/TAC.2005.863501","volume":"51","author":"HB Ji","year":"2006","unstructured":"Ji HB, Xi HS (2006) Adaptive output-feedback tracking of stochastic nonlinear systems. IEEE Trans Autom Control 51(2):355\u2013360","journal-title":"IEEE Trans Autom Control"},{"issue":"4","key":"9125_CR11","doi-asserted-by":"crossref","first-page":"608","DOI":"10.1016\/j.automatica.2006.10.020","volume":"43","author":"ZJ Wu","year":"2007","unstructured":"Wu ZJ, Xie XJ, Zhang SY (2007) Adaptive backstepping controller design using stochastic small-gain theorem. Automatica 43(4):608\u2013620","journal-title":"Automatica"},{"issue":"2","key":"9125_CR12","doi-asserted-by":"crossref","first-page":"587","DOI":"10.1109\/TCYB.2018.2869922","volume":"50","author":"H Su","year":"2020","unstructured":"Su H, Zhang WH (2020) Adaptive fuzzy control of stochastic nonlinear systems with fuzzy dead zones and unmodeled dynamics. IEEE Trans Cybern 50(2):587\u2013599","journal-title":"IEEE Trans Cybern"},{"issue":"6","key":"9125_CR13","doi-asserted-by":"crossref","first-page":"3222","DOI":"10.1109\/TFUZZ.2018.2815552","volume":"26","author":"YK Lu","year":"2018","unstructured":"Lu YK (2018) Adaptive-fuzzy control compensation design for direct adaptive fuzzy control. IEEE Trans Fuzzy Syst 26(6):3222\u20133231","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"7","key":"9125_CR14","doi-asserted-by":"crossref","first-page":"1262","DOI":"10.1002\/rnc.2943","volume":"24","author":"HQ Wang","year":"2014","unstructured":"Wang HQ, Chen B, Lin C (2014) Adaptive neural tracking control for a class of stochastic nonlinear systems. Int J Robust Nonlinear Control 24(7):1262\u20131280","journal-title":"Int J Robust Nonlinear Control"},{"issue":"12","key":"9125_CR15","doi-asserted-by":"crossref","first-page":"3012","DOI":"10.1049\/iet-cta.2009.0428","volume":"4","author":"WS Chen","year":"2010","unstructured":"Chen WS, Jiao LC, Du ZB (2010) Output-feedback adaptive dynamic surface control of stochastic non-linear systems using neural network. IET Control Theory Appl 4(12):3012\u20133021","journal-title":"IET Control Theory Appl"},{"issue":"3","key":"9125_CR16","doi-asserted-by":"crossref","first-page":"642","DOI":"10.1109\/TFUZZ.2016.2567457","volume":"25","author":"HY Li","year":"2017","unstructured":"Li HY, Wang LJ, Du HP, Boulkroune A (2017) Adaptive fuzzy backstepping tracking control for strict-feedback systems with input delay. IEEE Trans Fuzzy Syst 25(3):642\u2013652","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"9125_CR17","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.fss.2014.03.013","volume":"254","author":"S Sui","year":"2014","unstructured":"Sui S, Tong SC, Li YM (2014) Adaptive fuzzy backstepping output feedback tracking control of MIMO stochastic pure-feedback nonlinear systems with input saturation. Fuzzy Sets Syst 254:26\u201346","journal-title":"Fuzzy Sets Syst"},{"key":"9125_CR18","doi-asserted-by":"crossref","first-page":"748","DOI":"10.1016\/j.ins.2016.06.010","volume":"369","author":"YM Sun","year":"2016","unstructured":"Sun YM, Chen B, Lin C, Wang HH, Zhou SW (2016) Adaptive neural control for a class of stochastic nonlinear systems by backstepping approach. Inf Sci 369:748\u2013764","journal-title":"Inf Sci"},{"issue":"12","key":"9125_CR19","doi-asserted-by":"crossref","first-page":"5166","DOI":"10.1109\/TNNLS.2020.2964044","volume":"31","author":"H Liu","year":"2020","unstructured":"Liu H, Pan YP, Cao JD, Wang HX, Zhou Y (2020) Adaptive neural network backstepping control of fractional-order nonlinear systems with actuator faults. IEEE Trans Neural Netw Learn Syst 31(12):5166\u20135177","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"2","key":"9125_CR20","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1080\/00207179.2019.1590649","volume":"94","author":"YQ Han","year":"2021","unstructured":"Han YQ, Zhu SL, Yang SG, Chu L (2021) Adaptive multi-dimensional Taylor network tracking control for a class of nonlinear systems. Int J Control 94(2):277\u2013285","journal-title":"Int J Control"},{"issue":"3","key":"9125_CR21","doi-asserted-by":"crossref","first-page":"699","DOI":"10.1093\/imamci\/dnz020","volume":"37","author":"QM Sun","year":"2020","unstructured":"Sun QM, Yan HS (2020) Multi-dimensional Taylor network modelling and optimal control of SISO nonlinear systems for tracking by output feedback. IMA J Math Control Inf 37(3):699\u2013717","journal-title":"IMA J Math Control Inf"},{"issue":"10","key":"9125_CR22","doi-asserted-by":"crossref","first-page":"1619","DOI":"10.1049\/iet-cta.2017.0100","volume":"11","author":"HS Yan","year":"2017","unstructured":"Yan HS, Kang AM (2017) Asymptotic tracking and dynamic regulation of SISO non-linear system based on discrete multi-dimensional Taylor network. IET Control Theory Appl 11(10):1619\u20131626","journal-title":"IET Control Theory Appl"},{"key":"9125_CR23","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.isatra.2020.11.002","volume":"111","author":"HS Yan","year":"2021","unstructured":"Yan HS, Sun QM (2021) MTN output feedback tracking control for MIMO discrete-time uncertain nonlinear systems. ISA Trans 111:71\u201381","journal-title":"ISA Trans"},{"issue":"1","key":"9125_CR24","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1002\/rnc.4774","volume":"30","author":"C Zhang","year":"2020","unstructured":"Zhang C, Yan HS (2020) Multidimensional Taylor network adaptive control for MIMO time-varying uncertain nonlinear systems with noises. Int J Robust Nonlinear Control 30(1):397\u2013420","journal-title":"Int J Robust Nonlinear Control"},{"issue":"8","key":"9125_CR25","doi-asserted-by":"crossref","first-page":"1107","DOI":"10.1049\/iet-cta.2017.0538","volume":"12","author":"YQ Han","year":"2018","unstructured":"Han YQ, Yan HS (2018) Adaptive multi-dimensional Taylor network tracking control for SISO uncertain stochastic non-linear systems. IET Control Theory Appl 12(8):1107\u20131115","journal-title":"IET Control Theory Appl"},{"issue":"10","key":"9125_CR26","doi-asserted-by":"crossref","first-page":"3049","DOI":"10.1177\/0142331217712380","volume":"40","author":"HS Yan","year":"2018","unstructured":"Yan HS, Han YQ, Sun QM (2018) Optimal output-feedback tracking of SISO stochastic nonlinear systems using multi-dimensional Taylor network. Trans Inst Measur Control 40(10):3049\u20133058","journal-title":"Trans Instit Meas Control"},{"issue":"4","key":"9125_CR27","doi-asserted-by":"publisher","first-page":"2492","DOI":"10.1109\/TASE.2022.3206328","volume":"20","author":"MX Wang","year":"2023","unstructured":"Wang MX, Zhu SL, Liu SM, Du Y, Han YQ (2023) Design of adaptive finite-time fault-tolerant controller for stochastic nonlinear systems with multiple faults. IEEE Trans Autom Sci Eng 20(4):2492\u20132502. https:\/\/doi.org\/10.1109\/TASE.2022.3206328","journal-title":"IEEE Trans Autom Sci Eng"},{"issue":"5","key":"9125_CR28","doi-asserted-by":"crossref","first-page":"2498","DOI":"10.1109\/TAC.2016.2600340","volume":"62","author":"YF Gao","year":"2017","unstructured":"Gao YF, Sun XM, Wen CY, Wang W (2017) Adaptive tracking control for a class of stochastic uncertain nonlinear systems with input saturation. IEEE Trans Autom Control 62(5):2498\u20132504","journal-title":"IEEE Trans Autom Control"},{"issue":"1","key":"9125_CR29","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1109\/TAC.2018.2828084","volume":"64","author":"HF Min","year":"2019","unstructured":"Min HF, Xu SY, Zhang BY, Ma Q (2019) Output-feedback control for stochastic nonlinear systems subject to input saturation and time-varying delay. IEEE Trans Autom Control 64(1):359\u2013364","journal-title":"IEEE Trans Autom Control"},{"issue":"5","key":"9125_CR30","doi-asserted-by":"crossref","first-page":"1746","DOI":"10.1109\/TFUZZ.2014.2375917","volume":"23","author":"HQ Wang","year":"2015","unstructured":"Wang HQ, Liu XP, Liu KF, Karimi HR (2015) Approximation-based adaptive fuzzy tracking control for a class of nonstrict-feedback stochastic nonlinear time-delay systems. IEEE Trans Fuzzy Syst 23(5):1746\u20131760","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"4","key":"9125_CR31","doi-asserted-by":"crossref","first-page":"1943","DOI":"10.1109\/TCYB.2019.2906118","volume":"51","author":"TT Gao","year":"2021","unstructured":"Gao TT, Liu YJ, Li DP, Tong SC, Li TS (2021) Adaptive neural control using tangent time-varying BLFs for a class of uncertain stochastic nonlinear systems with full state constraints. IEEE Transactions on Cybernetics 51(4):1943\u20131953","journal-title":"IEEE Transactions on Cybernetics"},{"key":"9125_CR32","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.automatica.2017.07.028","volume":"87","author":"YJ Liu","year":"2018","unstructured":"Liu YJ, Lu SM, Tong SC, Chen XK, Chen CLP, Li DJ (2018) Adaptive control-based barrier Lyapunov functions for a class of stochastic nonlinear systems with full state constraints. Automatica 87:83\u201393","journal-title":"Automatica"},{"issue":"4","key":"9125_CR33","doi-asserted-by":"crossref","first-page":"1728","DOI":"10.1002\/asjc.2321","volume":"23","author":"QD Zhu","year":"2021","unstructured":"Zhu QD, Liu YC (2021) Neural network adaptive finite-time control of stochastic nonlinear systems with full state constraints. Asian J Control 23(4):1728\u20131739","journal-title":"Asian J Control"},{"issue":"4","key":"9125_CR34","doi-asserted-by":"crossref","first-page":"1609","DOI":"10.1002\/asjc.2551","volume":"24","author":"YQ Han","year":"2022","unstructured":"Han YQ (2022) Adaptive control of a class of stochastic nonlinear systems with full state constraints and input saturation using multi-dimensional Taylor network. Asian J Control 24(4):1609\u20131621","journal-title":"Asian J Control"},{"issue":"8","key":"9125_CR35","doi-asserted-by":"crossref","first-page":"2768","DOI":"10.1007\/s12555-021-0451-z","volume":"20","author":"N Li","year":"2022","unstructured":"Li N, Han YQ, He WJ, Zhu SL (2022) Control design for stochastic nonlinear systems with full-state constraints and input delay: a new adaptive approximation method. Int J Control Autom Syst 20(8):2768\u20132778","journal-title":"Int J Control Autom Syst"},{"issue":"10","key":"9125_CR36","doi-asserted-by":"crossref","first-page":"1747","DOI":"10.1109\/TSMC.2017.2738155","volume":"48","author":"Q Zhou","year":"2018","unstructured":"Zhou Q, Li HY, Wang LJ, Lu RQ (2018) Prescribed performance observer-based adaptive fuzzy control for nonstrict-feedback stochastic nonlinear systems. IEEE Trans Syst Man Cybern Syst 48(10):1747\u20131758","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"key":"9125_CR37","doi-asserted-by":"crossref","first-page":"76754","DOI":"10.1109\/ACCESS.2018.2882634","volume":"6","author":"XF Shao","year":"2018","unstructured":"Shao XF, Tong SC (2018) Adaptive fuzzy prescribed performance control for MIMO stochastic nonlinear systems. IEEE Access 6:76754\u201376767","journal-title":"IEEE Access"},{"issue":"4","key":"9125_CR38","doi-asserted-by":"crossref","first-page":"689","DOI":"10.1080\/00207721.2021.1971322","volume":"53","author":"T Yoshimura","year":"2022","unstructured":"Yoshimura T (2022) Prescribed performance control for MIMO stochastic discrete-time nonlinear systems in a strict-feedback form using a set of noisy measurements. Int J Syst Sci 53(4):689\u2013703","journal-title":"Int J Syst Sci"},{"key":"9125_CR39","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.ins.2014.08.060","volume":"292","author":"YM Li","year":"2015","unstructured":"Li YM, Tong SC (2015) Prescribed performance adaptive fuzzy output-feedback dynamic surface control for nonlinear large-scale systems with time delays. Information Sciences 292:125\u2013142","journal-title":"Information Sciences"},{"issue":"9","key":"9125_CR40","doi-asserted-by":"crossref","first-page":"5125","DOI":"10.1016\/j.jfranklin.2020.02.017","volume":"357","author":"CC Hua","year":"2020","unstructured":"Hua CC, Meng R, Li K, Guan XP (2020) Full state constraints-based adaptive tracking control for uncertain nonlinear stochastic systems with input saturation. J Franklin Instit 357(9):5125\u20135142","journal-title":"J Franklin Instit"},{"issue":"7","key":"9125_CR41","doi-asserted-by":"crossref","first-page":"3196","DOI":"10.1109\/TNNLS.2020.3010333","volume":"32","author":"S Sui","year":"2021","unstructured":"Sui S, Chen CLP, Tong SC (2021) A novel adaptive NN prescribed performance control for stochastic nonlinear systems. IEEE Trans Neural Netw Learn Syst 32(7):3196\u20133205","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"9125_CR42","doi-asserted-by":"crossref","first-page":"3655","DOI":"10.1007\/s11071-021-06456-6","volume":"104","author":"CG Liu","year":"2021","unstructured":"Liu CG, Gao C, Liu XP, Wang HQ, Zhou YC (2021) Adaptive finite-time prescribed performance control for stochastic nonlinear systems with unknown virtual control coefficients. Nonlinear Dyn 104:3655\u20133670","journal-title":"Nonlinear Dyn"},{"issue":"6","key":"9125_CR43","doi-asserted-by":"crossref","first-page":"2140","DOI":"10.1109\/TNNLS.2019.2928594","volume":"31","author":"H Liu","year":"2020","unstructured":"Liu H, Li XH, Liu XP, Wang HQ (2020) Adaptive neural network prescribed performance bounded-$$H_{\\infty }$$ tracking control for a class of stochastic nonlinear systems. IEEE Trans Neural Netw Learn Syst 31(6):2140\u20132152","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"9125_CR44","doi-asserted-by":"publisher","DOI":"10.1016\/j.amc.2022.127318","volume":"431","author":"W Liu","year":"2022","unstructured":"Liu W, Fei SQ, Ma Q, Zhao HY, Xu SY (2022) Prescribed performance dynamic surface control for nonlinear systems subject to partial and full state constraints. Appl Math Comput 431:127318. https:\/\/doi.org\/10.1016\/j.amc.2022.127318","journal-title":"Appl Math Comput"},{"key":"9125_CR45","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1016\/j.ins.2020.03.055","volume":"527","author":"QD Zhu","year":"2020","unstructured":"Zhu QD, Liu YC, Wen GX (2020) Adaptive neural network control for time-varying state constrained nonlinear stochastic systems with input saturation. Inf Sci 527:191\u2013209","journal-title":"Inf Sci"},{"issue":"6","key":"9125_CR46","doi-asserted-by":"crossref","first-page":"3311","DOI":"10.1002\/asjc.2720","volume":"24","author":"MX Wang","year":"2022","unstructured":"Wang MX, Zhu SL, Han YQ (2022) Multi-dimensional Taylor network-based control for a class of nonlinear stochastic systems with full state time-varying constraints and the finite-time output constraint. Asian J Control 24(6):3311\u20133325","journal-title":"Asian J Control"},{"issue":"8","key":"9125_CR47","first-page":"3257","volume":"9","author":"HQ Wang","year":"2013","unstructured":"Wang HQ, Chen B, Lin C (2013) Adaptive neural tracking control for a class of stochastic nonlinear systems with unknown dead-zone. Int J Innov Comput Inf Control 9(8):3257\u20133269","journal-title":"Int J Innov Comput Inf Control"},{"issue":"7","key":"9125_CR48","doi-asserted-by":"crossref","DOI":"10.7566\/JPSJ.90.075002","volume":"90","author":"M Bucolo","year":"2021","unstructured":"Bucolo M, Buscarino A, Fortuna L, Gagliano S (2021) Can noise in the feedback improve the performance of a control system? J Phys Soc Jpn 90(7):075002","journal-title":"J Phys Soc Jpn"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-023-09125-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-023-09125-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-023-09125-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,23]],"date-time":"2024-01-23T07:08:10Z","timestamp":1705993690000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-023-09125-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,23]]},"references-count":48,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2024,2]]}},"alternative-id":["9125"],"URL":"https:\/\/doi.org\/10.1007\/s00521-023-09125-4","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"type":"print","value":"0941-0643"},{"type":"electronic","value":"1433-3058"}],"subject":[],"published":{"date-parts":[[2023,11,23]]},"assertion":[{"value":"24 October 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 October 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 November 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 author(s) declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}