{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,5]],"date-time":"2025-10-05T22:15:51Z","timestamp":1759702551499},"reference-count":60,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2016,12,8]],"date-time":"2016-12-08T00:00:00Z","timestamp":1481155200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2018,8]]},"DOI":"10.1007\/s00521-016-2762-1","type":"journal-article","created":{"date-parts":[[2016,12,8]],"date-time":"2016-12-08T11:51:19Z","timestamp":1481197879000},"page":"1133-1143","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Design of momentum LMS adaptive strategy for parameter estimation of Hammerstein controlled autoregressive systems"],"prefix":"10.1007","volume":"30","author":[{"given":"Naveed Ishtiaq","family":"Chaudhary","sequence":"first","affiliation":[]},{"given":"Syed","family":"Zubair","sequence":"additional","affiliation":[]},{"given":"Muhammad Asif Zahoor","family":"Raja","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,12,8]]},"reference":[{"key":"2762_CR1","volume-title":"Application of system identification in engineering","year":"2014","unstructured":"Natke HG (ed) (2014) Application of system identification in engineering, vol 296. Springer, Berlin"},{"key":"2762_CR2","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1016\/j.sigpro.2015.02.010","volume":"113","author":"C Corbier","year":"2015","unstructured":"Corbier C, El Badaoui M, Ugalde HMR (2015) Huberian approach for reduced order ARMA modeling of neurodegenerative disorder signal. Signal Process 113:273\u2013284","journal-title":"Signal Process"},{"issue":"9","key":"2762_CR3","doi-asserted-by":"crossref","first-page":"968","DOI":"10.1049\/iet-spr.2013.0438","volume":"8","author":"MAZ Raja","year":"2014","unstructured":"Raja MAZ, Chaudhary NI (2014) Adaptive strategies for parameter estimation of Box\u2013Jenkins systems. IET Signal Process 8(9):968\u2013980","journal-title":"IET Signal Process"},{"key":"2762_CR4","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1016\/j.neucom.2015.04.022","volume":"166","author":"HMR Ugalde","year":"2015","unstructured":"Ugalde HMR, Carmona JC, Reyes-Reyes J, Alvarado VM, Mantilla J (2015) Computational cost improvement of neural network models in black box nonlinear system identification. Neurocomputing 166:96\u2013108","journal-title":"Neurocomputing"},{"issue":"1","key":"2762_CR5","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1007\/s00521-010-0461-x","volume":"21","author":"O Taouali","year":"2012","unstructured":"Taouali O, Elaissi I, Messaoud H (2012) Online identification of nonlinear system using reduced kernel principal component analysis. Neural Comput Appl 21(1):161\u2013169","journal-title":"Neural Comput Appl"},{"key":"2762_CR6","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1016\/j.sigpro.2014.06.015","volume":"107","author":"MAZ Raja","year":"2015","unstructured":"Raja MAZ, Chaudhary NI (2015) Two-stage fractional least mean square identification algorithm for parameter estimation of CARMA systems. Signal Process 107:327\u2013339","journal-title":"Signal Process"},{"issue":"1","key":"2762_CR7","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1007\/s00521-014-1716-8","volume":"26","author":"HMR Ugalde","year":"2015","unstructured":"Ugalde HMR, Carmona JC, Reyes-Reyes J, Alvarado VM, Corbier C (2015) Balanced simplicity\u2013accuracy neural network model families for system identification. Neural Comput Appl 26(1):171\u2013186","journal-title":"Neural Comput Appl"},{"key":"2762_CR8","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1016\/j.amc.2014.02.087","volume":"236","author":"L Xu","year":"2014","unstructured":"Xu L (2014) A proportional differential control method for a time-delay system using the Taylor expansion approximation. Appl Math Comput 236:391\u2013399","journal-title":"Appl Math Comput"},{"issue":"9","key":"2762_CR9","doi-asserted-by":"publisher","first-page":"3323","DOI":"10.1007\/s00034-015-0190-6","volume":"35","author":"F Ding","year":"2016","unstructured":"Ding F, Wang X, Chen Q, Xiao Y (2016) Recursive least squares parameter estimation for a class of output nonlinear systems based on the model decomposition. Circuits Syst Signal Process 35(9):3323\u20133338. doi: 10.1007\/s00034-015-0190-6","journal-title":"Circuits Syst Signal Process"},{"key":"2762_CR10","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1016\/j.cam.2015.03.057","volume":"288","author":"L Xu","year":"2015","unstructured":"Xu L (2015) Application of the Newton iteration algorithm to the parameter estimation for dynamical systems. J Comput Appl Math 288:33\u201343","journal-title":"J Comput Appl Math"},{"issue":"3","key":"2762_CR11","doi-asserted-by":"crossref","first-page":"2155","DOI":"10.1007\/s11071-014-1801-7","volume":"79","author":"L Xu","year":"2015","unstructured":"Xu L, Chen L, Xiong W (2015) Parameter estimation and controller design for dynamic systems from the step responses based on the Newton iteration. Nonlinear Dyn 79(3):2155\u20132163","journal-title":"Nonlinear Dyn"},{"key":"2762_CR12","doi-asserted-by":"crossref","first-page":"660","DOI":"10.1016\/j.sigpro.2015.10.009","volume":"120","author":"L Xu","year":"2016","unstructured":"Xu L (2016) The damping iterative parameter identification method for dynamical systems based on the sine signal measurement. Signal Process 120:660\u2013667","journal-title":"Signal Process"},{"key":"2762_CR13","doi-asserted-by":"publisher","DOI":"10.1007\/s00034-016-0378-4","author":"L Xu","year":"2017","unstructured":"Xu L, Ding F (2017) Recursive least squares and multi-innovation stochastic gradient parameter estimation methods for signal modeling. Circuits Syst Signal Process. doi: 10.1007\/s00034-016-0378-4","journal-title":"Circuits Syst Signal Process"},{"issue":"2","key":"2762_CR14","doi-asserted-by":"crossref","first-page":"1045","DOI":"10.1007\/s11071-015-2548-5","volume":"84","author":"Y Wang","year":"2016","unstructured":"Wang Y, Ding F (2016) Recursive least squares algorithm and gradient algorithm for Hammerstein\u2013Wiener systems using the data filtering. Nonlinear Dyn 84(2):1045\u20131053","journal-title":"Nonlinear Dyn"},{"key":"2762_CR15","doi-asserted-by":"crossref","first-page":"308","DOI":"10.1016\/j.automatica.2016.05.024","volume":"71","author":"Y Wang","year":"2016","unstructured":"Wang Y, Ding F (2016) Novel data filtering based parameter identification for multiple-input multiple-output systems using the auxiliary model. Automatica 71:308\u2013313","journal-title":"Automatica"},{"issue":"8","key":"2762_CR16","doi-asserted-by":"crossref","first-page":"894","DOI":"10.1049\/iet-cta.2015.1195","volume":"10","author":"Y Wang","year":"2016","unstructured":"Wang Y, Ding F (2016) Filtering-based iterative identification for multivariable systems. IET Control Theory Appl 10(8):894\u2013902","journal-title":"IET Control Theory Appl"},{"key":"2762_CR17","doi-asserted-by":"crossref","DOI":"10.1007\/978-0-85729-522-4","volume-title":"System identification: an introduction","author":"KJ Keesman","year":"2011","unstructured":"Keesman KJ (2011) System identification: an introduction. Springer, Berlin"},{"key":"2762_CR18","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-016-2548-5","author":"NI Chaudhary","year":"2016","unstructured":"Chaudhary NI, Raja MAZ, Aslam MS, Ahmed N (2016) Novel generalization of Volterra LMS algorithm to fractional order with application to system identification. Neural Comput Appl. doi: 10.1007\/s00521-016-2548-5","journal-title":"Neural Comput Appl"},{"issue":"3","key":"2762_CR19","doi-asserted-by":"crossref","first-page":"2187","DOI":"10.1007\/s11071-014-1804-4","volume":"79","author":"J V\u00f6r\u00f6s","year":"2015","unstructured":"V\u00f6r\u00f6s J (2015) Iterative identification of nonlinear dynamic systems with output backlash using three-block cascade models. Nonlinear Dyn 79(3):2187\u20132195","journal-title":"Nonlinear Dyn"},{"issue":"12","key":"2762_CR20","doi-asserted-by":"crossref","first-page":"5455","DOI":"10.1016\/j.jfranklin.2014.09.025","volume":"351","author":"J V\u00f6r\u00f6s","year":"2014","unstructured":"V\u00f6r\u00f6s J (2014) Identification of nonlinear dynamic systems with input saturation and output backlash using three-block cascade models. J Franklin Inst 351(12):5455\u20135466","journal-title":"J Franklin Inst"},{"key":"2762_CR21","doi-asserted-by":"publisher","unstructured":"V\u00f6r\u00f6s J (2010) Compound operator decomposition and its application to Hammerstein and Wiener systems. In: Giri F, Bai E-W (eds) Block-oriented nonlinear system identification. Springer, London, pp 35\u201351. doi: 10.1007\/978-1-84996-513-2_4","DOI":"10.1007\/978-1-84996-513-2_4"},{"key":"2762_CR22","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1016\/j.ces.2015.02.021","volume":"129","author":"F Khani","year":"2015","unstructured":"Khani F, Haeri M (2015) Robust model predictive control of nonlinear processes represented by Wiener or Hammerstein models. Chem Eng Sci 129:223\u2013231","journal-title":"Chem Eng Sci"},{"issue":"3","key":"2762_CR23","doi-asserted-by":"crossref","first-page":"493","DOI":"10.3182\/20140824-6-ZA-1003.01754","volume":"47","author":"CM Holcomb","year":"2014","unstructured":"Holcomb CM, de Callafon RA, Bitmead RR (2014) Closed-loop identification of Hammerstein systems with application to gas turbines. IFAC Proc 47(3):493\u2013498","journal-title":"IFAC Proc"},{"key":"2762_CR24","doi-asserted-by":"crossref","first-page":"294","DOI":"10.1016\/j.ymssp.2011.06.010","volume":"26","author":"N Togun","year":"2012","unstructured":"Togun N, Baysec S, Kara T (2012) Nonlinear modeling and identification of a spark ignition engine torque. Mech Syst Signal Process 26:294\u2013304","journal-title":"Mech Syst Signal Process"},{"issue":"1","key":"2762_CR25","first-page":"41","volume":"5","author":"K Elleuch","year":"2009","unstructured":"Elleuch K, Kharrat M, Chaari A, Chaabane M (2009) Modeling and identification of block-oriented heat transfer process. Int J Inf Syst Sci 5(1):41\u201356","journal-title":"Int J Inf Syst Sci"},{"issue":"5","key":"2762_CR26","doi-asserted-by":"crossref","first-page":"1018","DOI":"10.1016\/j.jsv.2010.09.012","volume":"330","author":"M R\u00e9billat","year":"2011","unstructured":"R\u00e9billat M, Hennequin R, Corteel E, Katz BF (2011) Identification of cascade of Hammerstein models for the description of nonlinearities in vibrating devices. J Sound Vib 330(5):1018\u20131038","journal-title":"J Sound Vib"},{"key":"2762_CR27","doi-asserted-by":"crossref","DOI":"10.1002\/9781118535561","volume-title":"Nonlinear system identification: NARMAX methods in the time, frequency, and spatio-temporal domains","author":"SA Billings","year":"2013","unstructured":"Billings SA (2013) Nonlinear system identification: NARMAX methods in the time, frequency, and spatio-temporal domains. Wiley, Chichester"},{"issue":"12","key":"2762_CR28","doi-asserted-by":"crossref","first-page":"3054","DOI":"10.1109\/TAC.2013.2273283","volume":"58","author":"W Zhao","year":"2013","unstructured":"Zhao W, Zheng WX, Bai EW (2013) A recursive local linear estimator for identification of nonlinear ARX systems: asymptotical convergence and applications. IEEE Trans Automat Control 58(12):3054\u20133069","journal-title":"IEEE Trans Automat Control"},{"issue":"28","key":"2762_CR29","doi-asserted-by":"crossref","first-page":"392","DOI":"10.1016\/j.ifacol.2015.12.159","volume":"48","author":"M law Pawlak","year":"2015","unstructured":"law Pawlak M, Lv J (2015) Nonparametric specification testing for Hammerstein systems. IFAC Pap Online 48(28):392\u2013397","journal-title":"IFAC Pap Online"},{"key":"2762_CR30","doi-asserted-by":"publisher","unstructured":"Tang Y, Han Z, Wang Y, Zhang L, Lian Q (2016) A changing forgetting factor RLS for online identification of nonlinear systems based on ELM\u2013Hammerstein model. Neural Comput Appl 1\u201315. doi: 10.1007\/s00521-016-2394-5","DOI":"10.1007\/s00521-016-2394-5"},{"issue":"1","key":"2762_CR31","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1109\/TSP.2013.2286103","volume":"62","author":"C Yu","year":"2014","unstructured":"Yu C, Zhang C, Xie L (2014) A new deterministic identification approach to Hammerstein systems. IEEE Trans Signal Process 62(1):131\u2013140","journal-title":"IEEE Trans Signal Process"},{"issue":"1","key":"2762_CR32","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/j.aml.2012.03.038","volume":"26","author":"J Li","year":"2013","unstructured":"Li J (2013) Parameter estimation for Hammerstein CARARMA systems based on the Newton iteration. Appl Math Lett 26(1):91\u201396","journal-title":"Appl Math Lett"},{"key":"2762_CR33","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.aml.2015.12.018","volume":"57","author":"D Wang","year":"2016","unstructured":"Wang D (2016) Hierarchical parameter estimation for a class of MIMO Hammerstein systems based on the reframed models. Appl Math Lett 57:13\u201319","journal-title":"Appl Math Lett"},{"issue":"2","key":"2762_CR34","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1049\/iet-cta.2012.0313","volume":"7","author":"F Ding","year":"2013","unstructured":"Ding F, Liu XG, Chu J (2013) Gradient-based and least-squares-based iterative algorithms for Hammerstein systems using the hierarchical identification principle. IET Control Theory Appl 7(2):176\u2013184","journal-title":"IET Control Theory Appl"},{"issue":"4","key":"2762_CR35","doi-asserted-by":"crossref","first-page":"1694","DOI":"10.1016\/j.apm.2012.04.039","volume":"37","author":"F Ding","year":"2013","unstructured":"Ding F (2013) Hierarchical multi-innovation stochastic gradient algorithm for Hammerstein nonlinear system modeling. Appl Math Model 37(4):1694\u20131704","journal-title":"Appl Math Model"},{"issue":"5","key":"2762_CR36","doi-asserted-by":"crossref","first-page":"1952","DOI":"10.1109\/TCST.2014.2387216","volume":"23","author":"DQ Wang","year":"2015","unstructured":"Wang DQ, Liu HB, Ding F (2015) Highly efficient identification methods for dual-rate Hammerstein systems. IEEE Trans Control Syst Technol 23(5):1952\u20131960","journal-title":"IEEE Trans Control Syst Technol"},{"key":"2762_CR37","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1016\/j.ins.2012.07.064","volume":"222","author":"D Wang","year":"2013","unstructured":"Wang D, Ding F, Chu Y (2013) Data filtering based recursive least squares algorithm for Hammerstein systems using the key-term separation principle. Inf Sci 222:203\u2013212","journal-title":"Inf Sci"},{"key":"2762_CR38","doi-asserted-by":"crossref","first-page":"1202","DOI":"10.1016\/j.amc.2014.09.070","volume":"247","author":"H Chen","year":"2014","unstructured":"Chen H, Xiao Y, Ding F (2014) Hierarchical gradient parameter estimation algorithm for Hammerstein nonlinear systems using the key term separation principle. Appl Math Comput 247:1202\u20131210","journal-title":"Appl Math Comput"},{"issue":"3","key":"2762_CR39","doi-asserted-by":"crossref","first-page":"1745","DOI":"10.1007\/s11071-014-1771-9","volume":"79","author":"Y Mao","year":"2015","unstructured":"Mao Y, Ding F (2015) Multi-innovation stochastic gradient identification for Hammerstein controlled autoregressive systems based on the filtering technique. Nonlinear Dyn 79(3):1745\u20131755","journal-title":"Nonlinear Dyn"},{"key":"2762_CR40","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1016\/j.dsp.2015.07.002","volume":"46","author":"Y Mao","year":"2015","unstructured":"Mao Y, Ding F (2015) A novel data filtering based multi-innovation stochastic gradient algorithm for Hammerstein nonlinear systems. Digit Signal Proc 46:215\u2013225","journal-title":"Digit Signal Proc"},{"issue":"9","key":"2762_CR41","doi-asserted-by":"crossref","first-page":"2881","DOI":"10.1007\/s00034-014-9772-y","volume":"33","author":"F Ding","year":"2014","unstructured":"Ding F, Deng K, Liu X (2014) Decomposition based Newton iterative identification method for a Hammerstein nonlinear FIR system with ARMA noise. Circuits Syst Signal Process 33(9):2881\u20132893","journal-title":"Circuits Syst Signal Process"},{"key":"2762_CR42","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1016\/j.ins.2016.03.037","volume":"355","author":"D Wang","year":"2016","unstructured":"Wang D, Ding F (2016) Parameter estimation algorithms for multivariable Hammerstein CARMA systems. Inf Sci 355:237\u2013248","journal-title":"Inf Sci"},{"key":"2762_CR43","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.aml.2016.03.016","volume":"60","author":"Y Mao","year":"2016","unstructured":"Mao Y, Ding F (2016) A novel parameter separation based identification algorithm for Hammerstein systems. Appl Math Lett 60:21\u201327","journal-title":"Appl Math Lett"},{"issue":"2","key":"2762_CR44","doi-asserted-by":"crossref","first-page":"1385","DOI":"10.1007\/s11071-014-1748-8","volume":"79","author":"NI Chaudhary","year":"2015","unstructured":"Chaudhary NI, Raja MAZ (2015) Identification of Hammerstein nonlinear ARMAX systems using nonlinear adaptive algorithms. Nonlinear Dyn 79(2):1385\u20131397","journal-title":"Nonlinear Dyn"},{"key":"2762_CR45","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1016\/j.sigpro.2015.04.015","volume":"116","author":"NI Chaudhary","year":"2015","unstructured":"Chaudhary NI, Raja MAZ (2015) Design of fractional adaptive strategy for input nonlinear Box\u2013Jenkins systems. Signal Process 116:141\u2013151","journal-title":"Signal Process"},{"key":"2762_CR46","doi-asserted-by":"publisher","DOI":"10.1007\/s11071-016-3058-9","author":"MS Aslam","year":"2016","unstructured":"Aslam MS, Chaudhary NI, Raja MAZ (2016) A sliding-window approximation-based fractional adaptive strategy for Hammerstein nonlinear ARMAX systems. Nonlinear Dyn. doi: 10.1007\/s11071-016-3058-9","journal-title":"Nonlinear Dyn"},{"issue":"3","key":"2762_CR47","doi-asserted-by":"crossref","first-page":"639","DOI":"10.1007\/s12555-012-0322-8","volume":"10","author":"Y Xiao","year":"2012","unstructured":"Xiao Y, Song G, Liao Y, Ding R (2012) Multi-innovation stochastic gradient parameter estimation for input nonlinear controlled autoregressive models. Int J Control Automat Syst 10(3):639\u2013643","journal-title":"Int J Control Automat Syst"},{"issue":"1","key":"2762_CR48","doi-asserted-by":"crossref","first-page":"777","DOI":"10.1007\/s11071-013-1168-1","volume":"76","author":"H Hu","year":"2014","unstructured":"Hu H, Ding R (2014) Least squares based iterative identification algorithms for input nonlinear controlled autoregressive systems based on the auxiliary model. Nonlinear Dyn 76(1):777\u2013784","journal-title":"Nonlinear Dyn"},{"issue":"1","key":"2762_CR49","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1007\/s00034-014-9839-9","volume":"34","author":"H Chen","year":"2015","unstructured":"Chen H, Ding F (2015) Hierarchical least squares identification for Hammerstein nonlinear controlled autoregressive systems. Circuits Syst Signal Process 34(1):61\u201375","journal-title":"Circuits Syst Signal Process"},{"issue":"3","key":"2762_CR50","doi-asserted-by":"crossref","first-page":"2027","DOI":"10.1007\/s11071-014-1791-5","volume":"79","author":"H Chen","year":"2015","unstructured":"Chen H, Ding F, Xiao Y (2015) Decomposition-based least squares parameter estimation algorithm for input nonlinear systems using the key term separation technique. Nonlinear Dyn 79(3):2027\u20132035","journal-title":"Nonlinear Dyn"},{"key":"2762_CR51","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-016-2677-x","author":"MAZ Raja","year":"2016","unstructured":"Raja MAZ, Shah AA, Mehmood A, Chaudhary NI, Aslam MS (2016) Bio-inspired computational heuristics for parameter estimation of nonlinear Hammerstein controlled autoregressive system. Neural Comput Appl. doi: 10.1007\/s00521-016-2677-x","journal-title":"Neural Comput Appl"},{"key":"2762_CR52","doi-asserted-by":"publisher","unstructured":"Chaudhary NI, Raja MAZ, Khan JA, Aslam MS (2013) Identification of input nonlinear control autoregressive systems using fractional signal processing approach. Sci World J, Article ID 467276. doi: 10.1155\/2013\/467276","DOI":"10.1155\/2013\/467276"},{"issue":"4","key":"2762_CR53","doi-asserted-by":"crossref","first-page":"1811","DOI":"10.1007\/s11071-015-2279-7","volume":"82","author":"NI Chaudhary","year":"2015","unstructured":"Chaudhary NI, Raja MAZ, Khan AUR (2015) Design of modified fractional adaptive strategies for Hammerstein nonlinear control autoregressive systems. Nonlinear Dyn 82(4):1811\u20131830","journal-title":"Nonlinear Dyn"},{"key":"2762_CR54","volume-title":"Adaptive signal processing: theory and applications","author":"TS Alexander","year":"2012","unstructured":"Alexander TS (2012) Adaptive signal processing: theory and applications. Springer, Berlin"},{"issue":"2","key":"2762_CR55","doi-asserted-by":"crossref","first-page":"839","DOI":"10.1109\/TSP.2007.907805","volume":"56","author":"Y Zhang","year":"2008","unstructured":"Zhang Y, Li N, Chambers JA, Sayed AH (2008) Steady-state performance analysis of a variable tap-length LMS algorithm. IEEE Trans Signal Process 56(2):839\u2013845","journal-title":"IEEE Trans Signal Process"},{"issue":"1","key":"2762_CR56","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s13634-015-0219-9","volume":"2015","author":"M Moinuddin","year":"2015","unstructured":"Moinuddin M, Al-Saggaf UM, Ahmed A (2015) Family of state space least mean power of two-based algorithms. EURASIP J Adv Signal Process 2015(1):1","journal-title":"EURASIP J Adv Signal Process"},{"issue":"10","key":"2762_CR57","doi-asserted-by":"crossref","first-page":"7145","DOI":"10.1007\/s13369-014-1289-y","volume":"39","author":"M Moinuddin","year":"2014","unstructured":"Moinuddin M, Zerguine A (2014) A unified performance analysis of the family of normalized least mean algorithms. Arab J Sci Eng 39(10):7145\u20137157","journal-title":"Arab J Sci Eng"},{"key":"2762_CR58","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1016\/j.sigpro.2014.11.016","volume":"111","author":"UM Al-Saggaf","year":"2015","unstructured":"Al-Saggaf UM, Moinuddin M, Arif M, Zerguine A (2015) The q-least mean squares algorithm. Signal Process 111:50\u201360","journal-title":"Signal Process"},{"issue":"2","key":"2762_CR59","doi-asserted-by":"crossref","first-page":"527","DOI":"10.1007\/s13369-015-1698-6","volume":"41","author":"A Ahmed","year":"2016","unstructured":"Ahmed A, Moinuddin M, Al-Saggaf UM (2016) State Space least mean fourth algorithm for dynamic state estimation in power systems. Arab J Sci Eng 41(2):527\u2013543","journal-title":"Arab J Sci Eng"},{"key":"2762_CR60","doi-asserted-by":"crossref","first-page":"282","DOI":"10.1016\/j.measurement.2013.11.010","volume":"48","author":"Z Bo","year":"2014","unstructured":"Bo Z, Sun C, Xu Y, Jiang S (2014) A variable momentum factor filtered-x weighted accumulated LMS algorithm for narrowband active noise control systems. Measurement 48:282\u2013291","journal-title":"Measurement"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-016-2762-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-016-2762-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-016-2762-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,27]],"date-time":"2020-09-27T20:41:30Z","timestamp":1601239290000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-016-2762-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,12,8]]},"references-count":60,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2018,8]]}},"alternative-id":["2762"],"URL":"https:\/\/doi.org\/10.1007\/s00521-016-2762-1","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,12,8]]}}}