Citation: | Zhang Wei, Mao Jianqin. Least Wilcoxon learning method based fuzzy tree model[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(7): 973-977. (in Chinese) |
[1] |
张其光,王执铨.基于遗传算法的模糊神经网络控制器设计及其稳定性分析[J].控制理论与应用,1999,16(5):767-769 Zhang Qiguang,Wang Zhiquan.Design of a kind of fuzzy neural network controllers based on genetic algorithm and analysis of its stability [J].Control Theory and Applications,1999,16(5):767-769 (in Chinese)
|
[2] |
Wang Yin,Rong Gang.A self-organizing neural-network-based fuzzy system[J].Control Theory and Applications,1999,16(3):455-457
|
[3] |
李波,张世英.基于神经模糊方法的复杂系统建模[J].信息与控制,2001,30(3):231-233 Li Bo,Zhang Shiying.Complex systems modeling via neuro fuzzy method[J].Information and Control,2001,30(3):231-233(in Chinese)
|
[4] |
王宏伟,杨振强,王子才.基于加速进化规划方法的复杂系统模糊建模[J].电子学报,1999,27(8):140-141 Wang Hongwei,Yang Zhenqiang,Wang Zicai.The fuzzy modeling of complex systems via accelerated evolutionary programming[J].Acta Electronica Sinica,1999,27(8):140-141 (in Chinese)
|
[5] |
Carpenter G A,Grossberg S,Rosen D B.Fuzzy ART:fast stable learning and categorization of analog pattern by an adaptive resonance system[J].Neural Network,1991,4(9):759-771
|
[6] |
Jang J S R.ANFIS:Adaptive-network-based fuzzy inference systems[J].IEEE Transactions on Systems,Man and Cybernetics,1993,23(3):665-685
|
[7] |
Chiu S.Fuzzy model identification based on cluster estimation[J].Journal of Intelligent and Fuzzy Systems,1994,2(3):267-278
|
[8] |
The Math Works Inc.Fuzzy logic toolbox for use with matlab user’s guide,Version 2 [M].USA:The Math Works Inc,2000
|
[9] |
毛剑琴,姚健,丁海山.基于模糊树模型的混沌时间序列预测[J].物理学报,2009,58(4):2220-2231 Mao Jianqin,Yao Jian,Ding Haishan.Chaotic time series prediction based on fuzzy tree[J].Acta Physica Sinica,2009,58(4):2220-2231 (in Chinese)
|
[10] |
Mao Jianqin,Zhang Jiangang,Yue Yufang,et al.Adaptive tree-structured-based fuzzy Inference systems[J].IEEE Transactions on Fuzzy Systems,2005,13(1):1-12
|
[11] |
Mao Jianqin,Ding Haishan.Intelligent modeling and control for nonlinear systems with rate-dependent hysteresis[J].Science in China Series F:Information Sciences,2009,52(4):656-673
|
[12] |
Chuang C C,Su S F,Chen S S.Robust TSK fuzzy modeling for function approximation with outliers[J].IEEE Transactions on Fuzzy Systems,2001,9(6):810-821
|
[13] |
Jacek M L.TSK-fuzzy modeling based onε-insensitive learning[J].IEEE Transactions on Fuzzy Systems,2005,13(2):181-193
|
[14] |
Hogg R V,McKean J W,Craig A T.Introduction to mathematical statistics[M].6th ed.Englewood Cliffs,NJ:Prentice-Hall,2005
|
[15] |
Hsieh J G,Lin Y L,Jeng J H.Preliminary study on Wilcoxon learning machines[J].IEEE Transactions on Neural Network,2008,19(2):201-211
|
[16] |
Sun T Y,Tsai S J,Tsai C H,et al.Nonlinear function approximation based on least Wilcoxon takagi-sugeno fuzzy model //The Eighth International Conference on Intelligent Systems Design and Applications.Taiwan:IEEE Computer Society,2008:312-317
|
[17] |
Majhi B,Panda G.Robust identification of nonlinear complex systems using low complexity ANN and particle swarm optimization technique[J].Expert Systems with Applications,2010,38(1):321-333
|
[18] |
Majhi B,Panda G,Mulgrew B.Robust identification and prediction using wilcoxon norm and particle swarm optimization //The 17th European Signal Processing Conference (EUSIPCO 2009).Scotland:European Association for Signal Processing,2009:1695-1699
|
[19] |
Hardy G H,Littlewood J E,Polya G.Inequalities[M].2nd ed.Cambridge:Cambridge University Press,1952
|