{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T20:38:07Z","timestamp":1761597487704},"reference-count":59,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2014,2,14]],"date-time":"2014-02-14T00:00:00Z","timestamp":1392336000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2014,7]]},"DOI":"10.1007\/s10489-013-0501-1","type":"journal-article","created":{"date-parts":[[2014,2,13]],"date-time":"2014-02-13T07:52:09Z","timestamp":1392277929000},"page":"184-195","source":"Crossref","is-referenced-by-count":20,"title":["Hardware implementation methods in Random Vector Functional-Link Networks"],"prefix":"10.1007","volume":"41","author":[{"given":"Jos\u00e9 M.","family":"Mart\u00ednez-Villena","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alfredo","family":"Rosado-Mu\u00f1oz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Emilio","family":"Soria-Olivas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2014,2,14]]},"reference":[{"key":"501_CR1","volume-title":"Pattern recognition and machine learning","author":"CM Bishop","year":"2006","unstructured":"Bishop CM (2006) Pattern recognition and machine learning. Springer, Berlin"},{"key":"501_CR2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/BF01934122","volume":"7","author":"A Bj\u00f5rck","year":"1967","unstructured":"Bj\u00f5rck A (1967) Solving linear least squares problems by Gram-Schmidt orthogonalization. BIT Numer Math 7:1\u201321","journal-title":"BIT Numer Math"},{"key":"501_CR3","doi-asserted-by":"crossref","DOI":"10.1137\/1.9781611971484","volume-title":"Numerical methods for least squares problems","author":"A Bj\u00f5rck","year":"1996","unstructured":"Bj\u00f5rck A (1996) Numerical methods for least squares problems. SIAM, Philadelphia"},{"issue":"2","key":"501_CR4","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1007\/s10489-007-0109-4","volume":"30","author":"M Carcenac","year":"2009","unstructured":"Carcenac M (2009) A modular neural network for super-resolution of human faces. Appl Intell 30(2):168\u2013186. doi: 10.1007\/s10489-007-0109-4","journal-title":"Appl Intell"},{"key":"501_CR5","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/VPPC.2010.5729138","volume-title":"Vehicle power and propulsion conference (VPPC), 2010 IEEE","author":"R Castro de","year":"2010","unstructured":"de Castro R, Araujo R, Cardoso J, Freitas D (2010) A new linear parametrization for peak friction coefficient estimation in real time. In: Vehicle power and propulsion conference (VPPC), 2010 IEEE, pp 1\u20136. doi: 10.1109\/VPPC.2010.5729138"},{"key":"501_CR6","volume-title":"Backpropagation: theory, architectures, and applications","author":"Y Chauvin","year":"1995","unstructured":"Chauvin Y, Rumelhart D (1995) Backpropagation: theory, architectures, and applications. Erlbaum, Hillsdale"},{"issue":"4","key":"501_CR7","doi-asserted-by":"crossref","first-page":"2055","DOI":"10.1109\/TPWRS.2012.2190627","volume":"27","author":"X Chen","year":"2012","unstructured":"Chen X, Dong ZY, Meng K, Xu Y, Wong KP, Ngan HW (2012) Electricity price forecasting with extreme learning machine and bootstrapping. IEEE Trans Power Syst 27(4):2055\u20132062. doi: 10.1109\/TPWRS.2012.2190627","journal-title":"IEEE Trans Power Syst"},{"key":"501_CR8","volume-title":"Numerical mathematics and computing","author":"E Cheney","year":"2007","unstructured":"Cheney E, Kincaid D (2007) Numerical mathematics and computing, International student edn. Brooks\/Cole, Belmont","edition":"International s"},{"issue":"3","key":"501_CR9","doi-asserted-by":"crossref","first-page":"635","DOI":"10.1109\/TRO.2011.2130030","volume":"27","author":"S Decherchi","year":"2011","unstructured":"Decherchi S, Gastaldo P, Dahiya R, Valle M, Zunino R (2011) Tactile-data classification of contact materials using computational intelligence. IEEE Trans Robot 27(3):635\u2013639. doi: 10.1109\/TRO.2011.2130030","journal-title":"IEEE Trans Robot"},{"issue":"8","key":"501_CR10","doi-asserted-by":"crossref","first-page":"496","DOI":"10.1109\/TCSII.2012.2204112","volume":"59","author":"S Decherchi","year":"2012","unstructured":"Decherchi S, Gastaldo P, Leoncini A, Zunino R (2012) Efficient digital implementation of extreme learning machines for classification. IEEE Trans Circuits Syst II, Express Briefs 59(8):496\u2013500. doi: 10.1109\/TCSII.2012.2204112","journal-title":"IEEE Trans Circuits Syst II, Express Briefs"},{"key":"501_CR11","first-page":"496","volume-title":"International conference on information management, innovation management and industrial engineering","author":"G Duan","year":"2009","unstructured":"Duan G, Huang Z, Wang J (2009) Extreme learning machine for bank clients classification. In: International conference on information management, innovation management and industrial engineering, vol 2, pp 496\u2013499. doi: 10.1109\/ICIII.2009.277"},{"key":"501_CR12","first-page":"41","volume-title":"Proceedings of the 3rd HiPEAC workshop on reconfigurable computing","author":"PN Ganchosov","year":"2009","unstructured":"Ganchosov PN, Kuzmanov G, Kabakchiev H, Behar V, Romansky RP, Gaydadjiev GN (2009) FPGA implementation of modified Gram-Schmidt qr-decomposition. In: Proceedings of the 3rd HiPEAC workshop on reconfigurable computing, pp 41\u201351"},{"key":"501_CR13","unstructured":"Gander W (1980) Algorithms for the QR-decomposition. Research report no. 80-02 edn. Seminar Fuer Angewandte Mathematik, Eidgenoessische Technische Hochschule, Zurich"},{"issue":"4","key":"501_CR14","doi-asserted-by":"crossref","first-page":"1083","DOI":"10.1137\/S0895479897317077","volume":"20","author":"G Geist","year":"1999","unstructured":"Geist G, Howell G, Watkins D (1999) The BR eigenvalue algorithm. SIAM J Matrix Anal Appl 20(4):1083\u20131098","journal-title":"SIAM J Matrix Anal Appl"},{"key":"501_CR15","doi-asserted-by":"crossref","DOI":"10.1007\/978-0-387-70873-7","volume-title":"Matrix algebra: theory, computations, and applications in statistics","author":"JE Gentle","year":"2007","unstructured":"Gentle JE (2007) Matrix algebra: theory, computations, and applications in statistics, 1st edn. Springer, Berlin","edition":"1"},{"key":"501_CR16","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/0095-0696(78)90006-2","volume":"5","author":"D Harrison","year":"1978","unstructured":"Harrison D, Rubinfeld DL (1978) Hedonic prices and the demand for clean air. J Environ Econ Manag 5:81\u2013102","journal-title":"J Environ Econ Manag"},{"issue":"1\u20133","key":"501_CR17","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1016\/j.neucom.2005.12.126","volume":"70","author":"GB Huang","year":"2006","unstructured":"Huang GB, Zhu QY, Siew CK (2006) Extreme learning machine: theory and applications. Neurocomputing 70(1\u20133):489\u2013501. doi: 10.1016\/j.neucom.2005.12.126 . Neural networks\u2014selected papers from the 7th Brazilian symposium on neural networks (SBRN\u201904), 7th Brazilian symposium on neural networks","journal-title":"Neurocomputing"},{"key":"501_CR18","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1007\/s13042-011-0019-y","volume":"2","author":"GB Huang","year":"2011","unstructured":"Huang GB, Wang D, Lan Y (2011) Extreme learning machines: a\u00a0survey. Int J Mach Learn Cybern 2:107\u2013122. doi: 10.1007\/s13042-011-0019-y","journal-title":"Int J Mach Learn Cybern"},{"issue":"6","key":"501_CR19","doi-asserted-by":"crossref","first-page":"1320","DOI":"10.1109\/72.471375","volume":"6","author":"B Igelnik","year":"1995","unstructured":"Igelnik B, Pao Y (1995) Stochastic choice of basis functions in adaptive function approximation and the functional-link net. IEEE Trans Neural Netw 6(6):1320\u20131329","journal-title":"IEEE Trans Neural Netw"},{"key":"501_CR20","unstructured":"Irturk A (2007) Implementation of QR decomposition algorithms using FPGA. Master\u2019s thesis, Department of Electrical and Computer Engineering, University of California, Santa Barbara"},{"key":"501_CR21","first-page":"373","volume-title":"International conference on ICECE technology","author":"A Irturk","year":"2008","unstructured":"Irturk A, Benson B, Arfaee A, Kastner R (2008) Automatic generation of decomposition based matrix inversion architectures. In: International conference on ICECE technology, FPT 2008, pp 373\u2013376. doi: 10.1109\/FPT.2008.4762421"},{"key":"501_CR22","first-page":"42","volume-title":"Symposium on application specific processors","author":"A Irturk","year":"2008","unstructured":"Irturk A, Benson B, Mirzaei S, Kastner R (2008) An FPGA design space exploration tool for matrix inversion architectures. In: Symposium on application specific processors, SASP 2008, pp 42\u201347. doi: 10.1109\/SASP.2008.4570784"},{"key":"501_CR23","volume-title":"Proc. 39th Asilomar conference on signals, systems, and computers","author":"M Karkooti","year":"2005","unstructured":"Karkooti M, Cavallaro JR (2005) FPGA implementation of matrix inversion using QRD-RLS algorithm. In: Proc. 39th Asilomar conference on signals, systems, and computers"},{"key":"501_CR24","first-page":"984","volume-title":"Progress in connectionist-based information systems","author":"D Kilpatrick","year":"1997","unstructured":"Kilpatrick D, Cameron-Jones R (1997) Numeric prediction using instance-based learning with encoding length selection. In: Progress in connectionist-based information systems, pp 984\u2013987"},{"issue":"4","key":"501_CR25","doi-asserted-by":"crossref","first-page":"824","DOI":"10.1007\/s10489-011-0299-7","volume":"36","author":"C Liaw","year":"2012","unstructured":"Liaw C, Tsai CT, Ko CH (2012) Nonlinear quantization on hebbian-type associative memories. Appl Intell 36(4):824\u2013833. doi: 10.1007\/s10489-011-0299-7","journal-title":"Appl Intell"},{"issue":"8","key":"501_CR26","doi-asserted-by":"crossref","first-page":"754","DOI":"10.1109\/LSP.2010.2053356","volume":"17","author":"N Liu","year":"2010","unstructured":"Liu N, Wang H (2010) Ensemble based extreme learning machine. IEEE Signal Process Lett 17(8):754\u2013757. doi: 10.1109\/LSP.2010.2053356","journal-title":"IEEE Signal Process Lett"},{"issue":"4","key":"501_CR27","doi-asserted-by":"crossref","first-page":"1848","DOI":"10.1109\/TPWRS.2006.883685","volume":"21","author":"J Ma","year":"2006","unstructured":"Ma J, Dong ZY, Zang P (2006) Comparision of BR and QR eigenvalue algorithms for power system small signal stability analysis. IEEE Trans Power Syst 21(4):1848\u20131855","journal-title":"IEEE Trans Power Syst"},{"issue":"10\u201312","key":"501_CR28","doi-asserted-by":"crossref","first-page":"2160","DOI":"10.1016\/j.neucom.2010.02.001","volume":"73","author":"V Malathi","year":"2010","unstructured":"Malathi V, Marimuthu N, Baskar S (2010) Intelligent approaches using support vector machine and extreme learning machine for transmission line protection. Neurocomputing 73(10\u201312):2160\u20132167","journal-title":"Neurocomputing"},{"issue":"1\u20134","key":"501_CR29","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/S0925-2312(00)00314-3","volume":"37","author":"SF McLoone","year":"2001","unstructured":"McLoone SF, Irwin GW (2001) Improving neural network training solutions using regularisation. Neurocomputing 37(1\u20134):71\u201390","journal-title":"Neurocomputing"},{"issue":"4","key":"501_CR30","doi-asserted-by":"crossref","first-page":"669","DOI":"10.1109\/72.701180","volume":"9","author":"SF McLoone","year":"1998","unstructured":"McLoone SF, Brown MD, Irwin GW, Lightbody G (1998) A hybrid linear\/nonlinear training algorithm for feedforward neural networks. IEEE Trans Neural Netw 9(4):669\u2013684","journal-title":"IEEE Trans Neural Netw"},{"key":"501_CR31","doi-asserted-by":"crossref","DOI":"10.1137\/1.9780898719512","volume-title":"Matrix analysis and applied linear algebra","author":"C Meyer","year":"2000","unstructured":"Meyer C (2000) Matrix analysis and applied linear algebra. Society for Industrial and Applied Mathematics"},{"issue":"1","key":"501_CR32","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1109\/TNN.2009.2036259","volume":"21","author":"Y Miche","year":"2010","unstructured":"Miche Y, Sorjamaa A, Bas P, Simula O, Jutten C, Lendasse A (2010) OP-ELM: optimally pruned extreme learning machine. IEEE Trans Neural Netw 21(1):158\u2013162. doi: 10.1109\/TNN.2009.2036259","journal-title":"IEEE Trans Neural Netw"},{"issue":"10\u201312","key":"501_CR33","doi-asserted-by":"crossref","first-page":"1906","DOI":"10.1016\/j.neucom.2010.01.020","volume":"73","author":"R Minhas","year":"2010","unstructured":"Minhas R, Baradarani A, Seifzadeh S, Wu QJ (2010) Human action recognition using extreme learning machine based on visual vocabularies. Neurocomputing 73(10\u201312):1906\u20131917","journal-title":"Neurocomputing"},{"issue":"3","key":"501_CR34","doi-asserted-by":"crossref","first-page":"946","DOI":"10.1109\/TPWRS.2008.926431","volume":"23","author":"A Nizar","year":"2008","unstructured":"Nizar A, Dong Z, Wang Y (2008) Power utility nontechnical loss analysis with extreme learning machine method. IEEE Trans Power Syst 23(3):946\u2013955. doi: 10.1109\/TPWRS.2008.926431","journal-title":"IEEE Trans Power Syst"},{"key":"501_CR35","volume-title":"Embedded systems architecture: a comprehensive guide for engineers and programmers","author":"T Noergaard","year":"2012","unstructured":"Noergaard T (2012) Embedded systems architecture: a comprehensive guide for engineers and programmers. Elsevier, Amsterdam"},{"key":"501_CR36","first-page":"1016","volume-title":"The 18th IEEE international symposium on robot and human interactive communication","author":"Y Pan","year":"2009","unstructured":"Pan Y, Ge SS, He H, Chen L (2009) Real-time face detection for human robot interaction. In: The 18th IEEE international symposium on robot and human interactive communication, RO-MAN 2009, pp 1016\u20131021. doi: 10.1109\/ROMAN.2009.5326349"},{"key":"501_CR37","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/0925-2312(94)90053-1","volume":"6","author":"Y Pao","year":"1994","unstructured":"Pao Y, Park G, Sobajic D (1994) Learning and generalization characteristics of the random vector functional-link net. Neurocomputing 6:163\u2013168","journal-title":"Neurocomputing"},{"key":"501_CR38","first-page":"236","volume-title":"Combining instance-based and model-based learning","author":"JR Quinlan","year":"1993","unstructured":"Quinlan JR (1993) Combining instance-based and model-based learning. Morgan Kaufmann, San Mateo, pp 236\u2013243"},{"key":"501_CR39","author":"D Ram\u00edk","year":"2013","unstructured":"Ram\u00edk D, Sabourin C, Moreno R, Madani K (2013) A machine learning based intelligent vision system for autonomous object detection and recognition. Appl Intell. doi: 10.1007\/s10489-013-0461-5","journal-title":"Appl Intell"},{"key":"501_CR40","volume-title":"Generalized inverse of matrices and its applications","author":"CR Rao","year":"1972","unstructured":"Rao CR, Mitra SK (1972) Generalized inverse of matrices and its applications. Wiley, New York"},{"key":"501_CR41","series-title":"IEEE world congress on computational intelligence","first-page":"1709","volume-title":"IEEE international joint conference on neural networks","author":"HJ Rong","year":"2008","unstructured":"Rong HJ, Huang GB, Ong YS (2008) Extreme learning machine for multi-categories classification applications. In: IEEE international joint conference on neural networks, IJCNN 2008. IEEE world congress on computational intelligence, pp 1709\u20131713. doi: 10.1109\/IJCNN.2008.4634028"},{"issue":"10","key":"501_CR42","first-page":"1678","volume":"14","author":"A Rosado-Mu\u00f1oz","year":"2008","unstructured":"Rosado-Mu\u00f1oz A, Soria-Olivas E, G\u00f3mez-Chova L, Vila-Franc\u00e9s J (2008) An IP core and GUI for implementing multilayer perceptron with a fuzzy activation function on configurable logic devices. J Univers Comput Sci 14(10):1678\u20131694","journal-title":"J Univers Comput Sci"},{"issue":"2","key":"501_CR43","doi-asserted-by":"crossref","first-page":"452","DOI":"10.1109\/TCBB.2010.13","volume":"8","author":"S Saraswathi","year":"2011","unstructured":"Saraswathi S, Sundaram S, Sundararajan N, Zimmermann M, Nilsen-Hamilton M (2011) ICGA-PSO-ELM approach for accurate multiclass cancer classification resulting in reduced gene sets in which genes encoding secreted proteins are highly represented. IEEE\/ACM Trans Comput Biol Bioinform 8(2):452\u2013463. doi: 10.1109\/TCBB.2010.13","journal-title":"IEEE\/ACM Trans Comput Biol Bioinform"},{"key":"501_CR44","volume-title":"Embedded systems design with platform FPGA: principles and practices","author":"R Sass","year":"2010","unstructured":"Sass R, Schmidt A (2010) Embedded systems design with platform FPGA: principles and practices. Elsevier, Amsterdam"},{"key":"501_CR45","first-page":"1","volume-title":"5th international conference on bioinformatics and biomedical engineering (iCBBE 2011)","author":"Y Song","year":"2011","unstructured":"Song Y, Lio P (2011) Epileptic EEG detection via a novel pattern recognition framework. In: 5th international conference on bioinformatics and biomedical engineering (iCBBE 2011), pp 1\u20136. doi: 10.1109\/icbbe.2011.5780179"},{"issue":"1","key":"501_CR46","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1016\/j.dss.2008.07.009","volume":"46","author":"ZL Sun","year":"2008","unstructured":"Sun ZL, Choi TM, Au KF, Yu Y (2008) Sales forecasting using extreme learning machine with applications in fashion retailing. Decis Support Syst 46(1):411\u2013419. doi: 10.1016\/j.dss.2008.07.009","journal-title":"Decis Support Syst"},{"issue":"4","key":"501_CR47","doi-asserted-by":"crossref","first-page":"1484","DOI":"10.1109\/TITS.2011.2160053","volume":"12","author":"ZL Sun","year":"2011","unstructured":"Sun ZL, Ng KM, Soszynska-Budny J, Habibullah M (2011) Application of the LP-ELM model on transportation system lifetime optimization. IEEE Trans Intell Transp Syst 12(4):1484\u20131494. doi: 10.1109\/TITS.2011.2160053","journal-title":"IEEE Trans Intell Transp Syst"},{"issue":"2","key":"501_CR48","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1023\/B:APIN.0000033634.62074.46","volume":"21","author":"T Szab\u00f3","year":"2004","unstructured":"Szab\u00f3 T, Horv\u00e1th G (2004) An efficient hardware implementation of feed-forward neural networks. Appl Intell 21(2):143\u2013158. doi: 10.1023\/B:APIN.0000033634.62074.46","journal-title":"Appl Intell"},{"key":"501_CR49","doi-asserted-by":"crossref","DOI":"10.1002\/9780470496916","volume-title":"Metaheuristics: from design to implementation","author":"E Talbi","year":"2009","unstructured":"Talbi E (2009) Metaheuristics: from design to implementation. Wiley, New York"},{"issue":"1","key":"501_CR50","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1109\/TASE.2008.2005640","volume":"7","author":"H Tian","year":"2010","unstructured":"Tian H, Mao Z (2010) An ensemble ELM based on modified AdaBoost.RT algorithm for predicting the temperature of molten steel in ladle furnace. IEEE Trans Autom Sci Eng 7(1):73\u201380","journal-title":"IEEE Trans Autom Sci Eng"},{"key":"501_CR51","doi-asserted-by":"crossref","first-page":"2114","DOI":"10.1109\/ICARCV.2010.5707794","volume-title":"11th international conference on control automation robotics vision (ICARCV 2010)","author":"G Vani","year":"2010","unstructured":"Vani G, Savitha R, Sundararajan N (2010) Classification of abnormalities in digitized mammograms using extreme learning machine. In: 11th international conference on control automation robotics vision (ICARCV 2010), pp 2114\u20132117. doi: 10.1109\/ICARCV.2010.5707794"},{"issue":"3","key":"501_CR52","doi-asserted-by":"crossref","first-page":"465","DOI":"10.1007\/s10489-013-0425-9","volume":"39","author":"CW Wang","year":"2013","unstructured":"Wang CW, You WH (2013) Boosting-svm: effective learning with reduced data dimension. Appl Intell 39(3):465\u2013474. doi: 10.1007\/s10489-013-0425-9","journal-title":"Appl Intell"},{"issue":"1\u20133","key":"501_CR53","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1016\/j.neucom.2008.01.016","volume":"72","author":"G Wang","year":"2008","unstructured":"Wang G, Zhao Y, Wang D (2008) A protein secondary structure prediction framework based on the extreme learning machine. Neurocomputing 72(1\u20133):262\u2013268","journal-title":"Neurocomputing"},{"issue":"8","key":"501_CR54","doi-asserted-by":"crossref","first-page":"1494","DOI":"10.1109\/TNN.2008.2002273","volume":"19","author":"L Wang","year":"2008","unstructured":"Wang L, Wan C (2008) Comments on \u201cThe extreme learning machine\u201d. IEEE Trans Neural Netw 19(8):1494\u20131495","journal-title":"IEEE Trans Neural Netw"},{"key":"501_CR55","author":"L Wang","year":"2013","unstructured":"Wang L, Yang B, Chen Y, Chen Z, Sun H (2013) Accelerating fcm neural network classifier using graphics processing units with cuda. Appl Intell. doi: 10.1007\/s10489-013-0450-8","journal-title":"Appl Intell"},{"key":"501_CR56","first-page":"1","volume-title":"International conference on power system technology (POWERCON 2010)","author":"Y Xu","year":"2010","unstructured":"Xu Y, Dong Z, Meng K, Xu Z, Zhang R, Wu A, Wong K (2010) Earlier detection of risk of blackout by real-time dynamic security assessment based on extreme learning machines. In: International conference on power system technology (POWERCON 2010), pp 1\u20137. doi: 10.1109\/POWERCON.2010.5666055"},{"issue":"3","key":"501_CR57","doi-asserted-by":"crossref","first-page":"382","DOI":"10.1109\/LGRS.2006.873687","volume":"3","author":"CW Yeu","year":"2006","unstructured":"Yeu CW, Lim MH, Huang GB, Agarwal A, Ong YS (2006) A new machine learning paradigm for terrain reconstruction. IEEE Geosci Remote Sens Lett 3(3):382\u2013386. doi: 10.1109\/LGRS.2006.873687","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"501_CR58","first-page":"1299","volume-title":"29th Chinese control conference (CCC)","author":"C Youwen","year":"2010","unstructured":"Youwen C, Tianyou C (2010) A model for steel billet temperature of prediction of heating furnace. In: 29th Chinese control conference (CCC), pp 1299\u20131302"},{"issue":"1","key":"501_CR59","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1007\/s10489-010-0245-0","volume":"36","author":"D Zhang","year":"2012","unstructured":"Zhang D (2012) A new approach and system for attentive mobile learning based on seamless migration. Appl Intell 36(1):75\u201389. doi: 10.1007\/s10489-010-0245-0","journal-title":"Appl Intell"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-013-0501-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10489-013-0501-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-013-0501-1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,29]],"date-time":"2019-05-29T18:25:51Z","timestamp":1559154351000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10489-013-0501-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,2,14]]},"references-count":59,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2014,7]]}},"alternative-id":["501"],"URL":"https:\/\/doi.org\/10.1007\/s10489-013-0501-1","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,2,14]]}}}