{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T15:05:03Z","timestamp":1772291103897,"version":"3.50.1"},"reference-count":48,"publisher":"Springer Science and Business Media LLC","issue":"9","license":[{"start":{"date-parts":[[2016,9,6]],"date-time":"2016-09-06T00:00:00Z","timestamp":1473120000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51375502"],"award-info":[{"award-number":["51375502"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51305466"],"award-info":[{"award-number":["51305466"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key Basic Research Program","award":["2013CB035801"],"award-info":[{"award-number":["2013CB035801"]}]},{"name":"the Project of Innovation-driven Plan in Central South University","award":["2016CX008"],"award-info":[{"award-number":["2016CX008"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2018,5]]},"DOI":"10.1007\/s00521-016-2556-5","type":"journal-article","created":{"date-parts":[[2016,9,5]],"date-time":"2016-09-05T23:39:49Z","timestamp":1473118789000},"page":"585-596","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":86,"title":["A precise BP neural network-based online model predictive control strategy for die forging hydraulic press machine"],"prefix":"10.1007","volume":"29","author":[{"given":"Y. C.","family":"Lin","sequence":"first","affiliation":[]},{"given":"Dong-Dong","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Ming-Song","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Xiao-Min","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Jia","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,9,6]]},"reference":[{"issue":"4","key":"2556_CR1","doi-asserted-by":"crossref","first-page":"1733","DOI":"10.1016\/j.matdes.2010.11.048","volume":"32","author":"YC Lin","year":"2011","unstructured":"Lin YC, Chen XM (2011) A critical review of experimental results and constitutive descriptions for metals and alloys in hot working. Mater Des 32(4):1733\u20131759","journal-title":"Mater Des"},{"issue":"9","key":"2556_CR2","doi-asserted-by":"crossref","first-page":"3549","DOI":"10.1007\/s11665-015-1634-7","volume":"24","author":"YC Lin","year":"2015","unstructured":"Lin YC, Wu XY (2015) A new method for controlling billet temperature during isothermal die forging of a complex superalloy casing. J Mater Eng Perform 24(9):3549\u20133557","journal-title":"J Mater Eng Perform"},{"issue":"3\u20134","key":"2556_CR3","doi-asserted-by":"crossref","first-page":"849","DOI":"10.1007\/s00521-014-1562-8","volume":"25","author":"A Azari","year":"2014","unstructured":"Azari A, Poursina M, Poursina D (2014) Radial forging force prediction through MR, ANN, and ANFIS models. Neural Comput Appl 25(3\u20134):849\u2013858","journal-title":"Neural Comput Appl"},{"issue":"4","key":"2556_CR4","doi-asserted-by":"crossref","first-page":"1980","DOI":"10.1109\/TIE.2011.2160137","volume":"59","author":"XJ Lu","year":"2012","unstructured":"Lu XJ, Huang MH (2012) System-decomposition-based multilevel control for hydraulic press machine. IEEE Trans Ind Electron 59(4):1980\u20131987","journal-title":"IEEE Trans Ind Electron"},{"key":"2556_CR5","first-page":"1","volume":"2012","author":"PH Zhu","year":"2012","unstructured":"Zhu PH, Zhang LH, Zhou R, Chen LH, Yu B, Xie QZ (2012) A novel sensitivity analysis method in structural performance of hydraulic press. Math Probl Eng 2012:1\u201321","journal-title":"Math Probl Eng"},{"issue":"14","key":"2556_CR6","doi-asserted-by":"crossref","first-page":"2132","DOI":"10.1016\/j.matlet.2007.11.032","volume":"62","author":"YC Lin","year":"2008","unstructured":"Lin YC, Chen MS, Zhong J (2008) Microstructural evolution in 42CrMo steel during compression at elevated temperatures. Mater Lett 62(14):2132\u20132135","journal-title":"Mater Lett"},{"issue":"12","key":"2556_CR7","doi-asserted-by":"crossref","first-page":"4728","DOI":"10.1007\/s11665-015-1796-3","volume":"24","author":"R Bobbili","year":"2015","unstructured":"Bobbili R, Madhu V (2015) An investigation into hot deformation characteristics and processing maps of high-strength armor steel. J Mater Eng Perform 24(12):4728\u20134735","journal-title":"J Mater Eng Perform"},{"key":"2556_CR8","first-page":"6","volume":"1","author":"F Chen","year":"2014","unstructured":"Chen F, Cui ZS, Chen J (2014) Prediction of microstructural evolution during hot forging. Manuf Rev 1:6","journal-title":"Manuf Rev"},{"key":"2556_CR9","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.jallcom.2016.04.185","volume":"681","author":"SSS Kumar","year":"2016","unstructured":"Kumar SSS, Raghu T, Bhattacharjee PP, Rao GA, Borah U (2016) Strain rate dependent microstructural evolution during hot deformation of a hot isostatically processed nickel base superalloy. J Alloys Compd 681:28\u201342","journal-title":"J Alloys Compd"},{"key":"2556_CR10","doi-asserted-by":"crossref","first-page":"438","DOI":"10.1016\/j.jallcom.2012.10.114","volume":"550","author":"YC Lin","year":"2013","unstructured":"Lin YC, Li LT, Xia YC, Jiang YQ (2013) Hot deformation and processing map of a typical Al\u2013Zn\u2013Mg\u2013Cu alloy. J Alloys Compd 550:438\u2013445","journal-title":"J Alloys Compd"},{"key":"2556_CR11","doi-asserted-by":"crossref","first-page":"6444","DOI":"10.1007\/s10853-015-9200-0","volume":"50","author":"SSS Kumar","year":"2015","unstructured":"Kumar SSS, Raghu T, Bhattacharjee PP, Rao GA, Borah U (2015) Constitutive modeling for predicting peak stress characteristics during hot deformation of hot isostatically processed nickel-base superalloy. J Mater Sci 50:6444\u20136456","journal-title":"J Mater Sci"},{"key":"2556_CR12","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1016\/j.msea.2015.06.093","volume":"642","author":"F Chen","year":"2015","unstructured":"Chen F, Liu J, Ou HG, Lu B, Cui ZS, Long H (2015) Flow characteristics and intrinsic workability of IN718 superalloy. Mater Sci Eng, A 642:279\u2013287","journal-title":"Mater Sci Eng, A"},{"key":"2556_CR13","doi-asserted-by":"crossref","first-page":"736","DOI":"10.1016\/S1003-6326(16)64140-7","volume":"26","author":"N Kotkunde","year":"2016","unstructured":"Kotkunde N, Srinivasan S, Krishna G, Gupta AK, Singh SK (2016) Influence of material models on theoretical forming limit diagram prediction for Ti-6Al-4\u00a0V alloy under warm condition. Trans Nonferrous Met Soc China 26:736\u2013746","journal-title":"Trans Nonferrous Met Soc China"},{"issue":"4","key":"2556_CR14","doi-asserted-by":"crossref","first-page":"334","DOI":"10.1016\/j.dt.2014.06.012","volume":"10","author":"R Bobbili","year":"2014","unstructured":"Bobbili R, Madhu VGOGIAAK (2014) Neural network modeling to evaluate the dynamic flow stress of high strength armor steels under high strain rate compression. Def Technol 10(4):334\u2013342","journal-title":"Def Technol"},{"key":"2556_CR15","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1016\/j.msea.2013.09.049","volume":"591","author":"DX Wen","year":"2014","unstructured":"Wen DX, Lin YC, Li HB, Chen XM, Deng J, Li LT (2014) Hot deformation behavior and processing map of a typical Ni-based superalloy. Mat Sci Eng A 591:183\u2013192","journal-title":"Mat Sci Eng A"},{"issue":"4","key":"2556_CR16","doi-asserted-by":"crossref","first-page":"490","DOI":"10.1109\/TMECH.2002.805624","volume":"7","author":"SR Pandian","year":"2002","unstructured":"Pandian SR, Takemura F, Hayakawa Y, Kawamura S (2002) Pressure observer-controller design for pneumatic cylinder actuators. IEEE-ASME Trans Mech 7(4):490\u2013499","journal-title":"IEEE-ASME Trans Mech"},{"issue":"12","key":"2556_CR17","doi-asserted-by":"crossref","first-page":"1398","DOI":"10.1016\/j.conengprac.2009.07.001","volume":"17","author":"JM Zheng","year":"2009","unstructured":"Zheng JM, Zhao SD, Wei SG (2009) Application of self-tuning fuzzy PID controller for a SRM direct drive volume control hydraulic press. Control Eng Pract 17(12):1398\u20131404","journal-title":"Control Eng Pract"},{"key":"2556_CR18","doi-asserted-by":"crossref","first-page":"282","DOI":"10.1016\/j.commatsci.2013.11.003","volume":"83","author":"YC Lin","year":"2014","unstructured":"Lin YC, Chen XM, Wen DX, Chen MS (2014) A physically-based constitutive model for a typical nickel-based superalloy. Comput Mater Sci 83:282\u2013289","journal-title":"Comput Mater Sci"},{"key":"2556_CR19","doi-asserted-by":"crossref","unstructured":"Cho SJ, Lee JC, Jeon YH, Jeon JW (2009) The development of a position conversion controller for hydraulic press systems. In: IEEE international conference on robotics and biomimetics, pp 2019\u20132022","DOI":"10.1109\/ROBIO.2009.5420528"},{"key":"2556_CR20","first-page":"1130","volume":"27","author":"YC Zhou","year":"2008","unstructured":"Zhou YC, Liu SJ, Liu ZW, Huang MH (2008) Hydraulic position holding system of a huge water press based on iterative learning control. Mech Sci Technol Aerosp Eng 27:1130\u20131133","journal-title":"Mech Sci Technol Aerosp Eng"},{"issue":"5","key":"2556_CR21","doi-asserted-by":"crossref","first-page":"976","DOI":"10.1109\/TMECH.2011.2153866","volume":"17","author":"TH Ho","year":"2012","unstructured":"Ho TH, Ahn KK (2012) Speed control of a hydraulic pressure coupling drive using an adaptive fuzzy sliding-mode control. IEEE-ASME Trans Mech 17(5):976\u2013986","journal-title":"IEEE-ASME Trans Mech"},{"issue":"48","key":"2556_CR22","doi-asserted-by":"crossref","first-page":"17221","DOI":"10.1021\/ie402189y","volume":"52","author":"XJ Lu","year":"2013","unstructured":"Lu XJ, Li YB, Huang MH (2013) Operation-region-decomposition-based singular value decomposition\/neural network modeling method for complex hydraulic press machines. Ind Eng Chem Res 52(48):17221\u201317228","journal-title":"Ind Eng Chem Res"},{"issue":"3","key":"2556_CR23","doi-asserted-by":"crossref","first-page":"603","DOI":"10.1007\/s00521-014-1727-5","volume":"26","author":"JR Dong","year":"2015","unstructured":"Dong JR, Zheng CY, Kan GY, Zhao M, Wen J, Yu J (2015) Applying the ensemble artificial neural network-based hybrid data-driven model to daily total load forecasting. Neural Comput Appl 26(3):603\u2013611","journal-title":"Neural Comput Appl"},{"issue":"2","key":"2556_CR24","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1007\/s00521-010-0443-z","volume":"20","author":"P Das","year":"2011","unstructured":"Das P, Banerjee I (2011) An hybrid detection system of control chart patterns using cascaded SVM and neural network\u2013based detector. Neural Comput Appl 20(2):287\u2013296","journal-title":"Neural Comput Appl"},{"issue":"7\u20138","key":"2556_CR25","doi-asserted-by":"crossref","first-page":"1967","DOI":"10.1007\/s00521-014-1685-y","volume":"25","author":"SM Awan","year":"2014","unstructured":"Awan SM, Aslam M, Khan ZA, Saeed H (2014) An efficient model based on artificial bee colony optimization algorithm with Neural Networks for electric load forecasting. Neural Comput Appl 25(7\u20138):1967\u20131978","journal-title":"Neural Comput Appl"},{"issue":"4","key":"2556_CR26","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1023\/A:1008982910847","volume":"9","author":"N Alberti","year":"1998","unstructured":"Alberti N, Di Lorenzo R, Micari F, Teti R, Buonadonna P, Manzoni A (1998) Intelligent computation techniques for process planning of cold forging. J Intell Manuf 9(4):353\u2013359","journal-title":"J Intell Manuf"},{"issue":"10","key":"2556_CR27","doi-asserted-by":"crossref","first-page":"1609","DOI":"10.1016\/j.jprocont.2014.08.007","volume":"24","author":"X Wu","year":"2014","unstructured":"Wu X, Shen J, Li Y, Lee KY (2014) Fuzzy modeling and stable model predictive tracking control of large-scale power plants. J Process Contr 24(10):1609\u20131626","journal-title":"J Process Contr"},{"issue":"3\u20134","key":"2556_CR28","doi-asserted-by":"crossref","first-page":"879","DOI":"10.1007\/s00521-014-1561-9","volume":"25","author":"R Rahmani","year":"2014","unstructured":"Rahmani R, Langeroudi NM, Yousefi R, Mahdian M, Seyedmahmoudian M (2014) Fuzzy logic controller and cascade inverter for direct torque control of IM. Neural Comput Appl 25(3\u20134):879\u2013888","journal-title":"Neural Comput Appl"},{"key":"2556_CR29","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1243\/09544070JAUTO1196","volume":"224","author":"PK Wong","year":"2010","unstructured":"Wong PK, Tam LM, Li K, Vong CM (2010) Engine idle-speed system modelling and control optimization using artificial intelligence. Proc Inst Mech Eng D J Automob Eng 224:55\u201372","journal-title":"Proc Inst Mech Eng D J Automob Eng"},{"issue":"2","key":"2556_CR30","first-page":"321","volume":"25","author":"R Rosillo","year":"2014","unstructured":"Rosillo R, Giner J, de la Fuente D (2014) The effectiveness of the combined use of VIX and support vector machines on the prediction of S&P 500. Neural Comput Appl 25(2):321\u2013332","journal-title":"Neural Comput Appl"},{"issue":"1","key":"2556_CR31","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1007\/s00521-013-1509-5","volume":"24","author":"A Ciccazzo","year":"2014","unstructured":"Ciccazzo A, Di Pillo G, Latorre V (2014) Support vector machines for surrogate modeling of electronic circuits. Neural Comput Appl 24(1):69\u201376","journal-title":"Neural Comput Appl"},{"issue":"1","key":"2556_CR32","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1109\/MIE.2013.2290138","volume":"8","author":"S Vazquez","year":"2014","unstructured":"Vazquez S, Leon J, Franquelo LG, Rodriguez J, Young H, Marquez A, Zanchetta P (2014) Model predictive control: a review of its applications in power electronics. IEEE Ind Electron Mag 8(1):16\u201331","journal-title":"IEEE Ind Electron Mag"},{"issue":"15","key":"2556_CR33","doi-asserted-by":"crossref","first-page":"4388","DOI":"10.1016\/j.ces.2010.03.049","volume":"65","author":"S Dubljevic","year":"2010","unstructured":"Dubljevic S (2010) Model predictive control of Kuramoto-Sivashinsky equation with state and input constraints. Chem Eng Sci 65(15):4388\u20134396","journal-title":"Chem Eng Sci"},{"issue":"1","key":"2556_CR34","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1007\/s00521-014-1555-7","volume":"27","author":"PK Wong","year":"2016","unstructured":"Wong PK, Wong HC, Vong CM, Xie ZC, Huang SJ (2016) Model predictive engine air-ratio control using online sequential extreme learning machine. Neural Comput Appl 27(1):79\u201392","journal-title":"Neural Comput Appl"},{"issue":"3","key":"2556_CR35","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1007\/s12555-011-0300-6","volume":"9","author":"JH Lee","year":"2011","unstructured":"Lee JH (2011) Model predictive control: review of the three decades of development. Int J Control Autom 9(3):415\u2013424","journal-title":"Int J Control Autom"},{"key":"2556_CR36","first-page":"3","volume-title":"Model predictive control in the process industry","author":"EF Camacho","year":"2012","unstructured":"Camacho EF, Bordons C (2012) Model predictive control in the process industry. Springer, London, pp 3\u201315"},{"issue":"4","key":"2556_CR37","doi-asserted-by":"crossref","first-page":"1258","DOI":"10.1109\/TCST.2012.2200826","volume":"21","author":"CE Beal","year":"2013","unstructured":"Beal CE, Gerdes JC (2013) Model predictive control for vehicle stabilization at the limits of handling. IEEE Trans Control Syst Technol 21(4):1258\u20131269","journal-title":"IEEE Trans Control Syst Technol"},{"key":"2556_CR38","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.conengprac.2015.09.005","volume":"45","author":"AW Hermansson","year":"2015","unstructured":"Hermansson AW, Syafiie S (2015) Model predictive control of pH neutralization processes: a review. Control Eng Pract 45:98\u2013109","journal-title":"Control Eng Pract"},{"key":"2556_CR39","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1016\/j.conengprac.2013.02.016","volume":"22","author":"M Ellis","year":"2014","unstructured":"Ellis M, Christofides PD (2014) Integrating dynamic economic optimization and model predictive control for optimal operation of nonlinear process systems. Control Eng Pract 22:242\u2013251","journal-title":"Control Eng Pract"},{"issue":"3","key":"2556_CR40","doi-asserted-by":"crossref","first-page":"435","DOI":"10.1016\/j.sysconle.2012.01.003","volume":"61","author":"P Bumroongsri","year":"2012","unstructured":"Bumroongsri P, Kheawhom S (2012) An ellipsoidal off-line model predictive control strategy for linear parameter varying systems with applications in chemical processes. Syst Control Lett 61(3):435\u2013442","journal-title":"Syst Control Lett"},{"issue":"11","key":"2556_CR41","doi-asserted-by":"crossref","first-page":"1671","DOI":"10.1016\/j.jprocont.2014.08.010","volume":"24","author":"L Liu","year":"2014","unstructured":"Liu L, Huang B, Dubljevic S (2014) Model predictive control of axial dispersion chemical reactor. J Process Control 24(11):1671\u20131690","journal-title":"J Process Control"},{"issue":"5","key":"2556_CR42","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1109\/MPE.2012.2205322","volume":"10","author":"GK Venayagamoorthy","year":"2012","unstructured":"Venayagamoorthy GK, Rohrig K, Erlich I (2012) One step ahead: short-term wind power forecasting and intelligent predictive control based on data analytics. IEEE Power Energy Mag 10(5):70\u201378","journal-title":"IEEE Power Energy Mag"},{"key":"2556_CR43","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/382954","author":"ZH Xiao","year":"2015","unstructured":"Xiao ZH, Meng SL, Lu N, Malik OP (2015) One-step-ahead predictive control for hydroturbine governor. Math Probl Eng. doi:\n                        10.1155\/2015\/382954","journal-title":"Math Probl Eng"},{"issue":"8","key":"2556_CR44","doi-asserted-by":"crossref","first-page":"4142","DOI":"10.1109\/TIE.2013.2284155","volume":"61","author":"JS Lim","year":"2014","unstructured":"Lim JS, Park C, Han J, Lee YI (2014) Robust Tracking control of a three-phase DC\u2013AC inverter for UPS applications. IEEE T Ind Electron 61(8):4142\u20134151","journal-title":"IEEE T Ind Electron"},{"issue":"2","key":"2556_CR45","doi-asserted-by":"crossref","first-page":"416","DOI":"10.1109\/TNNLS.2015.2411671","volume":"27","author":"T Wang","year":"2016","unstructured":"Wang T, Gao HJ, Qiu JB (2016) A combined adaptive neural network and nonlinear model predictive control for multirate networked industrial process control. IEEE Trans Neural Net Learn 27(2):416\u2013425","journal-title":"IEEE Trans Neural Net Learn"},{"issue":"12","key":"2556_CR46","doi-asserted-by":"crossref","first-page":"7717","DOI":"10.1109\/TIE.2015.2455026","volume":"62","author":"L Cheng","year":"2015","unstructured":"Cheng L, Liu WC, Hou ZG, Yu JZ, Tan M (2015) Neural-network-based nonlinear model predictive control for piezoelectric actuators. IEEE Trans Ind Electron 62(12):7717\u20137727","journal-title":"IEEE Trans Ind Electron"},{"issue":"1","key":"2556_CR47","doi-asserted-by":"crossref","first-page":"47","DOI":"10.4186\/ej.2016.20.1.47","volume":"20","author":"W Daosud","year":"2016","unstructured":"Daosud W, Jariyaboon K, Kittisupakorn P, Hussain MA (2016) Neural network based model predictive control of batch extractive distillation process for improving purity of acetone. Eng J 20(1):47\u201359","journal-title":"Eng J"},{"key":"2556_CR48","first-page":"356","volume":"1","author":"GZ Tan","year":"2011","unstructured":"Tan GZ, Hao HQ, Wang YD (2011) Real time turning flow estimation based on model predictive control. Inf Technol Artif Intell Conf 1:356\u2013360","journal-title":"Inf Technol Artif Intell Conf"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-016-2556-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-016-2556-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-016-2556-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,3,30]],"date-time":"2018-03-30T01:59:10Z","timestamp":1522375150000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-016-2556-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,9,6]]},"references-count":48,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2018,5]]}},"alternative-id":["2556"],"URL":"https:\/\/doi.org\/10.1007\/s00521-016-2556-5","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,9,6]]}}}