Zhang Yan, Liang Xiuxia, Yang Peng, et al. Modeling and control of nonlinear discrete-time systems based on compound neural networks[J]. Chinese Journal of Chemical Engineering, 2009, 17(3), 454-459.
[3]
Geng Yanfeng, Zheng Jinwu, Shi Tianming, et al. Wet gas meter development based on slotted orifice couple and neural network techniques[J]. Chinese Journal of Chemical Engineering, 2007, 15(2), 281-285.
[4]
Huang G B, Zhu Q Y, Siew C K. Extreme learning machine : theory and applications[J]. Neurocomputing, 2006, 70(1-3) : 489-501.
[5]
Feng G, Huang G B, Lin Q P, et al. Error minimized extreme learning machine with growth of hidden nodes and incremental learning[J]. IEEE Transactions on Neural Networks, 2009, 20(8), 1352–1357.
Miche Y, Soriamaa A, Bas P, et al. OP-ELM: optimally pruned extreme learning machine[J]. IEEE Transactions on Neural Networks, 2010, 21(1), 158–162.
[10]
Liu N, Wang H. Ensemble based extreme learning machine[J]. IEEE Signal Processing letters, 2010, 17(8), 754-757.
[11]
Lan Y, Soh C Y, Huang G B. Constructive hidden nodes selection of extreme learning machine for regression[J]. Neurocomputing, 2010, 73(16-18), 3191-3199.
[12]
Malathi V, Marimuthu N S, Baskar S. Intelligent approaches using support vector machine and extreme learning machine for transmission line protection [J]. Neurocomputing, 2010, 73(10-12), 2160-2167.
[13]
Liang N Y, Huang G B, Saratchandran N,et al. A fast and accurate on-line sequential learning Algorithm for feedforward networks [J] IEEE Transactions on Neural Networks, 2006, 17(6), 1411–1423.
