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基于EKF的自组织T-S模糊Elman网络

DOI: 10.13195/j.kzyjc.2013.0116, PP. 853-859

Keywords: 自组织T-S,模糊Elman,网络,扩展的卡尔曼滤波,误差下降率,软测量

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Abstract:

针对模糊神经网络结构设计问题及模糊集在语言描述上存在的不足,提出一种基于扩展的卡尔曼滤波(EKF)的自组织T-S模糊Elman网络,并推导了网络训练算法.分别采用递归最小二乘法和EKF对线性参数和非线性参数进行更新;基于模糊规则生成准则和误差下降率修剪策略实现了模糊规则的增删减.最后通过系统辨识和污水处理建模实验,表明了该算法在保证网络精度和泛化能力的同时,可以有效地简化网络结构.

References

[1]  乔俊飞, 王会东. 模糊神经网络的结构自组织算法及应用[J]. 控制理论与应用, 2008, 25(4): 703-707.
[2]  (Qiao J F, Wang H D. Structure self-organizing algorithm for fuzzy neural networks and its applications[J]. Cotrol Theory & Applications, 2008,25(4): 703-707.)
[3]  Gang L, Girijesh P, Thomas M M, et al. Design for self- organizing fuzzy neural networks based on genetic algorithms[J]. IEEE Trans on Fuzzy Systems, 2006, 14(6): 755-766.
[4]  Alcal’a-Fdez J, Alcal’a R, Gacto M J, et al. Learning the membership function contexts for mining fuzzy association rules by using genetic algorithms[J]. IEEE Trans on Fuzzy Sets and Systems, 2009, 160(7): 905-921.
[5]  Rubio J D J. SOFMLS: Online self-organizing fuzzy modified least squares network[J]. IEEE Trans on Fuzzy Systems, 2009, 17(6): 1296-1309.
[6]  Wang N, Er M J, and Meng X Y. A fast and accurate online self-organizing scheme for parsimonious fuzzy neural networks[J]. Neurocomputing, 2009, 72(16/17/18): 3818-3829.
[7]  Han H G, Qiao J F. A self-oranizing fuzzy neural network based on a growing and pruning algorithm[J]. IEEE Trans on Fuzzy Systems, 2010, 6(18): 1129-1143.
[8]  Wu S Q, Er M J. Dynamic fuzzy neural networks-a novel approach to function approximation[J]. IEEE Trans on Systems, Man, Cybernetics: Part B, 2000, 30(2): 358-364.
[9]  Gang L, Girijesh P, Thomas M M . An approach for online extraction of fuzzy rules using a self-organising fuzzy neural networks[J]. IEEE Trans on fuzzy Sets and Systems, 2005, 150(2): 211-243.
[10]  陶永芹, 崔杜武. 基于动态模糊粒神经网络算法的负荷辨识[J]. 控制与决策, 2011, 26(4): 519-523.
[11]  (Tao Y Q, Cui D W. Load identification of algorithm based on dynamic fuzzy granular neural network[J]. Control and Decision, 2011, 26(4): 519-523.)
[12]  ER M J, Wu S, Gao Y. A fast approach for automatic generation of fuzzy rules by generalized dynamic fuzzy neural network[J]. IEEE Trans on Fuzzy Systems, 2001, 9(4): 578-594.
[13]  徐小来, 雷英杰, 谢文彪. 基于UKF的自组织直觉模糊神经网络[J]. 电子学报, 2010, 38(3): 638-645.
[14]  (Xu X L, Lei Y J, Xie W B. Self-organising intuitionistic fuzzy neural networks based on UKF[J]. Acta Electronica Sinica, 2010, 38(3): 638-645. )
[15]  Chen S, Cowan C F N, Grant P M. Orthogonal least squrares learning algorithm for radial basis function network[J]. IEEE Trans on Neural Network, 1991, 2(2): 302-309.

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