{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T18:48:20Z","timestamp":1779216500999,"version":"3.51.4"},"reference-count":50,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2020,10,6]],"date-time":"2020-10-06T00:00:00Z","timestamp":1601942400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,10,6]],"date-time":"2020-10-06T00:00:00Z","timestamp":1601942400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61773351"],"award-info":[{"award-number":["61773351"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Program for Science & Technology Innovation Talents in Universities of Henan Province","award":["20HASTIT031"],"award-info":[{"award-number":["20HASTIT031"]}]},{"name":"Training Plan for University\u2019s Young Backbone Teachers of Henan Province","award":["2017GGJS004"],"award-info":[{"award-number":["2017GGJS004"]}]},{"name":"Outstanding Foreign Scientists Support Project in Henan Province of China","award":["GZS201908"],"award-info":[{"award-number":["GZS201908"]}]},{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","award":["201907045008"],"award-info":[{"award-number":["201907045008"]}],"id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Harrison McCain Visiting Professor Award in the University of New Brunswick"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2021,6]]},"DOI":"10.1007\/s00521-020-05391-8","type":"journal-article","created":{"date-parts":[[2020,10,6]],"date-time":"2020-10-06T14:02:41Z","timestamp":1601992961000},"page":"6197-6211","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Adaptive composite neural network disturbance observer-based dynamic surface control for electrically driven robotic manipulators"],"prefix":"10.1007","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2823-6571","authenticated-orcid":false,"given":"Jinzhu","family":"Peng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuai","family":"Ding","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rickey","family":"Dubay","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,10,6]]},"reference":[{"key":"5391_CR1","doi-asserted-by":"crossref","unstructured":"Middletone RH, Goodwin GC (1986) Adaptive computed torque control for rigid link manipulators. In: 25th IEEE conference on decision and control, Athens, Greece, pp 68\u201373","DOI":"10.1109\/CDC.1986.267156"},{"key":"5391_CR2","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1016\/j.fss.2005.03.007","volume":"154","author":"Z Song","year":"2005","unstructured":"Song Z, Yi J, Zhao D, Li X (2005) A computed torque controller for uncertain robotic manipulator systems: fuzzy approach. Fuzzy Sets Syst 154:208\u2013226","journal-title":"Fuzzy Sets Syst"},{"issue":"4","key":"5391_CR3","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1007\/s11071-010-9902-4","volume":"65","author":"J Peng","year":"2011","unstructured":"Peng J, Wang J, Wang Y (2011) Neural network based robust hybrid control for robotic system: an $$H_\\infty $$ approach. Nonlinear Dyn 65(4):421\u2013431","journal-title":"Nonlinear Dyn"},{"issue":"14\u201315","key":"5391_CR4","doi-asserted-by":"crossref","first-page":"2377","DOI":"10.1016\/j.neucom.2011.03.015","volume":"74","author":"T Sun","year":"2011","unstructured":"Sun T, Pei H, Pan Y, Zhou H, Zhang C (2011) Neural network-based sliding mode adaptive control for robot manipulators. Neurocomputing 74(14\u201315):2377\u20132384","journal-title":"Neurocomputing"},{"issue":"2","key":"5391_CR5","doi-asserted-by":"crossref","first-page":"789","DOI":"10.1007\/s11071-014-1477-z","volume":"78","author":"J Peng","year":"2014","unstructured":"Peng J, Liu Y, Wang J (2014) Fuzzy adaptive output feedback control for robotic systems based on fuzzy adaptive observer. Nonlinear Dyn 78(2):789\u2013801","journal-title":"Nonlinear Dyn"},{"issue":"11","key":"5391_CR6","doi-asserted-by":"crossref","first-page":"6945","DOI":"10.1007\/s00521-018-3520-3","volume":"31","author":"VT Yen","year":"2019","unstructured":"Yen VT, Wang YN, Cuong PV (2019) Recurrent fuzzy wavelet neural networks based on robust adaptive sliding mode control for industrial robot manipulators. Neural Comput Appl 31(11):6945\u20136958","journal-title":"Neural Comput Appl"},{"key":"5391_CR7","doi-asserted-by":"crossref","unstructured":"Hsia T (1986) Adaptive control of robot manipulators\u2014a review. In: Proceedings of 1986 IEEE international conference on robotics and automation, San Francisco, CA, USA, pp 183\u2013189","DOI":"10.1109\/ROBOT.1986.1087696"},{"key":"5391_CR8","doi-asserted-by":"crossref","unstructured":"Kardgar A, Fateh MM, Ahmadi SM (2018) Adaptive control of robot manipulators using the voltage control strategy. In: 26th Iranian conference on electrical engineering (ICEE2018), pp 772\u2013777","DOI":"10.1109\/ICEE.2018.8472677"},{"issue":"2","key":"5391_CR9","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1177\/027836498500400205","volume":"4","author":"JJE Slotine","year":"1985","unstructured":"Slotine JJE (1985) The robust control of robot manipulators. Int J Robot Res 4(2):49\u201364","journal-title":"Int J Robot Res"},{"key":"5391_CR10","doi-asserted-by":"crossref","first-page":"516","DOI":"10.1017\/S0263574717000534","volume":"36","author":"JJBM Ahanda","year":"2018","unstructured":"Ahanda JJBM, Mbede JB, Melingui A, Zobo BE (2018) Robust adaptive control for robot manipulators: support vector regression-based command filtered adaptive backstepping approach. Robotica 36:516\u2013534","journal-title":"Robotica"},{"key":"5391_CR11","doi-asserted-by":"crossref","first-page":"1465","DOI":"10.1007\/s11071-012-0362-x","volume":"69","author":"MM Fateh","year":"2012","unstructured":"Fateh MM, Khorashadizadeh S (2012) Robust control of electrically driven robots by adaptive fuzzy estimation of uncertainty. Nonlinear Dyn 69:1465\u20131477","journal-title":"Nonlinear Dyn"},{"issue":"3","key":"5391_CR12","doi-asserted-by":"crossref","first-page":"426","DOI":"10.1109\/70.388786","volume":"11","author":"CY Su","year":"1995","unstructured":"Su CY, Stepanenko Y (1995) Hybrid adaptive robust motion control of rigid-link electrically-driven robot manipulators. IEEE Trans Robot Autom 11(3):426\u2013432","journal-title":"IEEE Trans Robot Autom"},{"issue":"2","key":"5391_CR13","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1049\/ip-d.1992.0029","volume":"139","author":"SR Habibi","year":"1992","unstructured":"Habibi SR, Richards RJ (1992) Sliding mode control of an electrically powered industrial robot. IEE Proc Control Theory Appl 139(2):207\u2013225","journal-title":"IEE Proc Control Theory Appl"},{"key":"5391_CR14","doi-asserted-by":"crossref","first-page":"775","DOI":"10.1080\/00207721.2011.625478","volume":"44","author":"MM Fateh","year":"2013","unstructured":"Fateh MM, Tehrani HA, Karbassi SM (2013) Repetitive control of electrically driven robot manipulators. Int J Syst Sci 44:775\u2013785","journal-title":"Int J Syst Sci"},{"issue":"3","key":"5391_CR15","doi-asserted-by":"crossref","first-page":"322","DOI":"10.1049\/iet-smt.2013.0265","volume":"9","author":"MR Soltanpour","year":"2015","unstructured":"Soltanpour MR, Otadolajam P, Khooban MH (2015) Robust control strategy for electrically driven robot manipulators: adaptive fuzzy sliding mode. IET Sci Meas Technol 9(3):322\u2013334","journal-title":"IET Sci Meas Technol"},{"key":"5391_CR16","doi-asserted-by":"crossref","first-page":"674","DOI":"10.1016\/j.compeleceng.2016.08.005","volume":"5","author":"SM Ahmadi","year":"2016","unstructured":"Ahmadi SM, Fateh MM (2016) Robust control of electrically driven robots using adaptive uncertainty estimation. Comput Electr Eng 5:674\u2013687","journal-title":"Comput Electr Eng"},{"key":"5391_CR17","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1007\/s11071-017-3454-9","volume":"89","author":"A Izadbakhsh","year":"2017","unstructured":"Izadbakhsh A (2017) FAT-based robust adaptive control of electrically driven robots without velocity measurements. Nonlinear Dyn 89:289\u2013304","journal-title":"Nonlinear Dyn"},{"issue":"4","key":"5391_CR18","doi-asserted-by":"crossref","first-page":"729","DOI":"10.1017\/S0263574718001303","volume":"37","author":"A Izadbakhsh","year":"2019","unstructured":"Izadbakhsh A, Khorashadizadeh S, Kheirkhahan P (2019) Tracking control of electrically driven robots using a model-free observer. Robotica 37(4):729\u2013755","journal-title":"Robotica"},{"issue":"10","key":"5391_CR19","doi-asserted-by":"crossref","first-page":"1893","DOI":"10.1109\/TAC.2000.880994","volume":"45","author":"D Swaroop","year":"2000","unstructured":"Swaroop D, Hedrick JK, Yip PP, Gerdes JC (2000) Dynamic surface control for a class of nonlinear systems. IEEE Trans Autom Control 45(10):1893\u20131899","journal-title":"IEEE Trans Autom Control"},{"key":"5391_CR20","doi-asserted-by":"crossref","first-page":"314","DOI":"10.1016\/j.ymssp.2018.03.058","volume":"111","author":"F Guo","year":"2018","unstructured":"Guo F, Liu Y, Wu Y, Luo F (2018) Observer-based backstepping boundary control for a flexible riser system. Mech Syst Signal Process 111:314\u2013330","journal-title":"Mech Syst Signal Process"},{"key":"5391_CR21","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1016\/j.ymssp.2017.07.036","volume":"100","author":"L Edalati","year":"2018","unstructured":"Edalati L, Sedigh AK, Shooredeli MA, Moarefianpour A (2018) Adaptive fuzzy dynamic surface control of nonlinear systems with input saturation and time-varying output constraints. Mech Syst Signal Process 100:311\u2013329","journal-title":"Mech Syst Signal Process"},{"key":"5391_CR22","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1016\/j.eswa.2018.11.040","volume":"120","author":"J Peng","year":"2019","unstructured":"Peng J, Dubay R (2019) Adaptive fuzzy backstepping control for a class of uncertain nonlinear strict-feedback systems based on dynamic surface control approach. Expert Syst With Appl 120:239\u2013252","journal-title":"Expert Syst With Appl"},{"issue":"4\u20136","key":"5391_CR23","doi-asserted-by":"crossref","first-page":"885","DOI":"10.1016\/j.neucom.2007.02.012","volume":"71","author":"SN Huang","year":"2008","unstructured":"Huang SN, Tan KK, Lee TH (2008) Adaptive neural network algorithm for control design of rigid-link electrically driven robots. Neurocomputing 71(4\u20136):885\u2013894","journal-title":"Neurocomputing"},{"issue":"4","key":"5391_CR24","doi-asserted-by":"crossref","first-page":"285","DOI":"10.5772\/7239","volume":"6","author":"SE Shafiei","year":"2009","unstructured":"Shafiei SE, Soltanpour MR (2009) Robust neural network control of electrically driven robot manipulator using backstepping approach. Int J Adv Robot Syst 6(4):285\u2013292","journal-title":"Int J Adv Robot Syst"},{"issue":"10","key":"5391_CR25","doi-asserted-by":"crossref","first-page":"1009","DOI":"10.1080\/00207720902974595","volume":"40","author":"X Wei","year":"2009","unstructured":"Wei X, Zhang HF, Guo L (2009) Composite disturbance observer-based control and terminal sliding mode control for uncertain structural systems. Int J Syst Sci 40(10):1009\u20131017","journal-title":"Int J Syst Sci"},{"issue":"5","key":"5391_CR26","doi-asserted-by":"crossref","first-page":"1357","DOI":"10.1109\/TCST.2011.2164076","volume":"20","author":"ZJ Yang","year":"2012","unstructured":"Yang ZJ, Fukushima Y, Qin P (2012) Decentralized adaptive robust control of robot manipulators using disturbance observers. IEEE Trans Control Syst Technol 20(5):1357\u20131365","journal-title":"IEEE Trans Control Syst Technol"},{"key":"5391_CR27","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.isatra.2018.12.047","volume":"90","author":"M Van","year":"2019","unstructured":"Van M (2019) An enhanced tracking control of marine surface vessels based on adaptive integral sliding mode control and disturbance observer. ISA Trans 90:30\u201340","journal-title":"ISA Trans"},{"key":"5391_CR28","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1016\/j.isatra.2018.12.041","volume":"90","author":"L Kong","year":"2019","unstructured":"Kong L, Yuan J (2019) Disturbance-observer-based fuzzy model predictive control for nonlinear processes with disturbances and input constraints. ISA Trans 90:74\u201388","journal-title":"ISA Trans"},{"key":"5391_CR29","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/j.isatra.2019.01.003","volume":"90","author":"L Kong","year":"2019","unstructured":"Kong L, Yuan J (2019) Generalized Discrete-time nonlinear disturbance observer based fuzzy model predictive control for boiler-turbine systems. ISA Trans 90:89\u2013106","journal-title":"ISA Trans"},{"issue":"4","key":"5391_CR30","doi-asserted-by":"crossref","first-page":"932","DOI":"10.1109\/41.857974","volume":"47","author":"WH Chen","year":"2000","unstructured":"Chen WH, Ballance DJ, Gawthrop PJ et al (2000) A nonlinear disturbance observer for robotic manipulators. IEEE Trans Ind Electron 47(4):932\u2013938","journal-title":"IEEE Trans Ind Electron"},{"issue":"6","key":"5391_CR31","doi-asserted-by":"crossref","first-page":"2400","DOI":"10.1109\/TCST.2015.2404897","volume":"23","author":"J Huang","year":"2015","unstructured":"Huang J, Ri S, Liu L et al (2015) Nonlinear disturbance observer-based dynamic surface control of mobile wheeled inverted pendulum. IEEE Trans Control Syst Technol 23(6):2400\u20132407","journal-title":"IEEE Trans Control Syst Technol"},{"issue":"2","key":"5391_CR32","doi-asserted-by":"crossref","first-page":"482","DOI":"10.1109\/TNNLS.2015.2511450","volume":"28","author":"H Sun","year":"2017","unstructured":"Sun H, Guo L (2017) Neural network-based DOBC for a class of nonlinear systems with unmatched disturbances. IEEE Trans Neural Netw Learn Syst 28(2):482\u2013489","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"5391_CR33","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1007\/s12555-017-0544-x","volume":"17","author":"M Homayounzade","year":"2019","unstructured":"Homayounzade M, Khademhosseini A (2019) Disturbance observer-based trajectory following control of robot manipulators. Int J Control Autom Syst 17:203\u2013211","journal-title":"Int J Control Autom Syst"},{"key":"5391_CR34","doi-asserted-by":"crossref","first-page":"402","DOI":"10.1016\/j.ymssp.2017.05.007","volume":"98","author":"Y Wu","year":"2018","unstructured":"Wu Y, Li G (2018) Adaptive disturbance compensation finite control set optimal control for PMSM systems based on sliding mode extended state observer. Mech Syst Signal Process 98:402\u2013414","journal-title":"Mech Syst Signal Process"},{"key":"5391_CR35","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.isatra.2019.01.017","volume":"91","author":"C Jing","year":"2019","unstructured":"Jing C, Xu H, Niu X (2019) Adaptive sliding mode disturbance rejection control with prescribed performance for robotic manipulators. ISA Trans 91:41\u201351","journal-title":"ISA Trans"},{"key":"5391_CR36","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/j.isatra.2018.11.039","volume":"88","author":"Y Deng","year":"2019","unstructured":"Deng Y, Wang J, Li H, Liu J, Tian D (2019) Adaptive sliding mode current control with sliding mode disturbance observer for PMSM drives. ISA Trans 88:113\u2013126","journal-title":"ISA Trans"},{"issue":"3","key":"5391_CR37","doi-asserted-by":"crossref","first-page":"1973","DOI":"10.1109\/TIE.2018.2838065","volume":"66","author":"Y Zhu","year":"2019","unstructured":"Zhu Y, Qiao J, Guo L (2019) Adaptive sliding mode disturbance observer-based composite control with prescribed performance of space manipulators for target capturing. IEEE Trans Ind Electron 66(3):1973\u20131983","journal-title":"IEEE Trans Ind Electron"},{"issue":"1","key":"5391_CR38","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1109\/91.983280","volume":"10","author":"E Kim","year":"2002","unstructured":"Kim E (2002) A fuzzy disturbance observer and its application to control. IEEE Trans Fuzzy Syst 10(1):77\u201384","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"5391_CR39","doi-asserted-by":"crossref","first-page":"5984","DOI":"10.1016\/j.amc.2012.12.017","volume":"219","author":"SC Jeong","year":"2013","unstructured":"Jeong SC, Ji DH, Ju H et al (2013) Park adaptive synchronization for uncertain chaotic neural networks with mixed time delays using fuzzy disturbance observer. Appl Math Comput 219:5984\u20135995","journal-title":"Appl Math Comput"},{"key":"5391_CR40","doi-asserted-by":"crossref","first-page":"1899","DOI":"10.1016\/j.jfranklin.2016.03.006","volume":"353","author":"S Wang","year":"2016","unstructured":"Wang S, Ren X, Na J (2016) Adaptive dynamic surface control based on fuzzy disturbance observer for drive system with elastic coupling. J Frankl Inst 353:1899\u20131919","journal-title":"J Frankl Inst"},{"key":"5391_CR41","doi-asserted-by":"crossref","first-page":"447","DOI":"10.1016\/j.ymssp.2017.12.019","volume":"105","author":"SD Nguyen","year":"2018","unstructured":"Nguyen SD, Choi SB, Nguyen QH (2018) A new fuzzy-disturbance observer-enhanced sliding controller for vibration control of a train\u2013car suspension with magneto-rheological dampers. Mech Syst Signal Process 105:447\u2013466","journal-title":"Mech Syst Signal Process"},{"issue":"2","key":"5391_CR42","doi-asserted-by":"crossref","first-page":"1214","DOI":"10.1109\/TII.2019.2924731","volume":"16","author":"Q Mao","year":"2020","unstructured":"Mao Q, Dou L, Yang Z et al (2020) Fuzzy disturbance observer-based adaptive sliding mode control for reusable launch vehicles with aeroservoelastic characteristic. IEEE Trans Ind Inf 16(2):1214\u20131223","journal-title":"IEEE Trans Ind Inf"},{"key":"5391_CR43","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1016\/j.isatra.2017.12.011","volume":"73","author":"D Wang","year":"2018","unstructured":"Wang D, Zong Q, Tian B et al (2018) Neural network disturbance observer-based distributed finite-time formation tracking control for multiple unmanned helicopters. ISA Trans 73:208\u2013226","journal-title":"ISA Trans"},{"key":"5391_CR44","doi-asserted-by":"crossref","first-page":"1998","DOI":"10.1016\/j.neucom.2017.10.042","volume":"275","author":"S Dian","year":"2018","unstructured":"Dian S, Chen L, Hoang S et al (2018) Gain scheduled dynamic surface control for a class of underactuated mechanical systems using neural network disturbance observer. Neurocomputing 275:1998\u20132008","journal-title":"Neurocomputing"},{"issue":"7","key":"5391_CR45","first-page":"2642","volume":"233","author":"Y Ma","year":"2019","unstructured":"Ma Y, Cai Y, Yu Z (2019) Adaptive neural network disturbance observer based nonsingular fast terminal sliding mode control for a constrained flexible air-breathing hypersonic vehicle. J Aerosp Eng 233(7):2642\u20132662","journal-title":"J Aerosp Eng"},{"key":"5391_CR46","doi-asserted-by":"crossref","first-page":"170","DOI":"10.1016\/j.ast.2018.10.025","volume":"84","author":"B Zhao","year":"2019","unstructured":"Zhao B, Xu S, Guo J et al (2019) Integrated strapdown missile guidance and control based on neural network disturbance observer. Aerosp Sci Technol 84:170\u2013181","journal-title":"Aerosp Sci Technol"},{"issue":"2","key":"5391_CR47","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1162\/neco.1991.3.2.246","volume":"3","author":"J Park","year":"1991","unstructured":"Park J, Sandberg IW (1991) Universal approximation using radial-basis-function networks. Neural Comput 3(2):246\u2013257","journal-title":"Neural Comput"},{"key":"5391_CR48","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/j.rcim.2016.02.003","volume":"41","author":"J Wilson","year":"2016","unstructured":"Wilson J, Charest M, Dubay R (2016) Non-linear model predictive control schemes with application on a 2-link vertical robot manipulator. Robot Comput Integr Manuf 41:23\u201330","journal-title":"Robot Comput Integr Manuf"},{"key":"5391_CR49","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2020.2992972","author":"T Yang","year":"2020","unstructured":"Yang T, Sun N, Chen H, Fang Y (2020) Observer-based nonlinear control for tower cranes suffering from uncertain friction and actuator constraints with experimental verification. IEEE Trans Ind Electron. https:\/\/doi.org\/10.1109\/TIE.2020.2992972","journal-title":"IEEE Trans Ind Electron"},{"key":"5391_CR50","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3006179","author":"Y Wu","year":"2020","unstructured":"Wu Y, Sun N, Chen H, Fang Y (2020) Adaptive output feedback control for 5-DOF varying-cable-length tower cranes with cargo mass estimation. IEEE Trans Ind Inf. https:\/\/doi.org\/10.1109\/TII.2020.3006179","journal-title":"IEEE Trans Ind Inf"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-020-05391-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-020-05391-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-020-05391-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,25]],"date-time":"2023-10-25T09:19:07Z","timestamp":1698225547000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-020-05391-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,6]]},"references-count":50,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2021,6]]}},"alternative-id":["5391"],"URL":"https:\/\/doi.org\/10.1007\/s00521-020-05391-8","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,10,6]]},"assertion":[{"value":"27 February 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 September 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 October 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}