Computer Science ›› 2013, Vol. 40 ›› Issue (5): 279-282.
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HU Rong and XU Wei-hong
[1] Li H X,Liu Z.A probabilistic neural-fuzzy learning system for stochastic modeling [J].IEEE Transaction on Fuzzy System,2008,16(4):898-908 [2] Zhao Y,Gao H J,Mou S S.Asymptotic stability analysis of neural networks with successive time delay components[J].Neurocomput,2007,71(13-15):2848-2856 [3] Huang H,Ho D W C,Cao J D.Analysis of global exponential stability and periodic solutions of neural networks with time-varying delays[J].Neural Netw,2005,8(2):161-170 [4] Kasabov N K,Song Q.DENFIS:Dynamic Evolving NeuralFuzzy Inference System and Its Application for Time-Series Prediction[J].IEEE Trans.Fuzzy Syst.,2002,10(2):144-154 [5] Angelov P P,Filev D P.An approach to online identification of Takagi-Sugeno fuzzy models[J].IEEE Trans.Syst.Man Cybern.B,2004,4(1):484-498 [6] Angelov P,Filev D.Simpl_eTS:A simplified method for learning evolving Takagi-Sugeno fuzzy models[C]∥Proc.14th IEEE Int.Conf.Fuzzy Syst.2005:1068-1073 [7] Rong H-J,Sundararajan N,Huang G-B,et al.Sequential Adaptive Fuzzy Inference System(SAFIS) for nonlinear system identification and prediction[J].Fuzzy Sets Syst.,2006,7(9):1260-1275 [8] Pouzols F M,Lendasse A.Evolving fuzzy optimally pruned extreme learning machinefor regression problems[J].Evolving Systems,2010,1(1):43-58 [9] Huang G B,Zhu Q Y,Siew C K.Extreme learning machine:Theory and applications[J].Neurocomputing,2006,70(1-3):489-501 [10] Miche Y,Sorjamaa A,Bas P,et al.OP-ELM:Optimally pruned extreme learning machine[J].IEEE Trans.Neural Network,2010,1(1):158-162 [11] Miche Y,Sorjamaa A,Lendasse A.OP-ELM:Theory,Experi- ments and a Toolbox[C]∥Proc.Int.Conf.Artif.Neural Netw.,ser.Lect.Notes Comput.Sci.2008,5163:145-154 [12] Sorjamaa A,Miche Y,Weiss R,et al.Long-Term Prediction of Time Series using NNE-based Projection and OP-ELM[C]∥Proc.Inter.Jt.Conf.Neural Netw.,Hong Kong,China,June 2008:2675-2681 [13] Huang G-B,Chen L,Siew C-K.Universal approximaion usingincremental constructuve feedforward networks with random hidden nodes[J].IEEE Trans.Neural Netw.,2006,7(4):879-892 [14] Liang N-Y,Huang G-B,Huang G-B,et al.A fast and accurate online sequential learning algorithm for feedforward networks[J].IEEE Trans.Neural Netw.,2006,7(6):1411-1423 [15] 许哲万,李昌皎,王爱侠,等.一种基于改进T-S模糊推理的模糊神经网络学习算法[J].计算机科学,2011,8(11):196-199,9 [16] 朱彦卿,何怡刚.一种基于模糊神经网络的模拟电路故障诊断方法 [J].计算机科学,2010,7(12):280-28 |
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