Lattice dynamical wavelet neural networks implemented using particle swarm optimization for spatio-temporal system identification

IEEE Transactions on Neural Networks
Hua-Liang WeiLingzhong Guo

Abstract

In this brief, by combining an efficient wavelet representation with a coupled map lattice model, a new family of adaptive wavelet neural networks, called lattice dynamical wavelet neural networks (LDWNNs), is introduced for spatio-temporal system identification. A new orthogonal projection pursuit (OPP) method, coupled with a particle swarm optimization (PSO) algorithm, is proposed for augmenting the proposed network. A novel two-stage hybrid training scheme is developed for constructing a parsimonious network model. In the first stage, by applying the OPP algorithm, significant wavelet neurons are adaptively and successively recruited into the network, where adjustable parameters of the associated wavelet neurons are optimized using a particle swarm optimizer. The resultant network model, obtained in the first stage, however, may be redundant. In the second stage, an orthogonal least squares algorithm is then applied to refine and improve the initially trained network by removing redundant wavelet neurons from the network. An example for a real spatio-temporal system identification problem is presented to demonstrate the performance of the proposed new modeling framework.

References

Aug 27, 2005·IEEE Transactions on Neural Networks·Stephen A Billings, Hua-Liang Wei
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Citations

Oct 9, 2012·Journal of Neuroscience Methods·Yifan ZhaoPtolemaios G Sarrigiannis
Jul 27, 2011·IEEE Transactions on Neural Networks·Hanwen NingLi Cheng
May 26, 2011·IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society·Hao Gao, Wenbo Xu
Sep 4, 2010·IEEE Transactions on Neural Networks·Sevcan Yilmaz, Yusuf Oysal
Aug 17, 2010·IEEE Transactions on Neural Networks·Sung Hwan WonCheol Hoon Park
Oct 27, 2011·IEEE Transactions on Neural Networks·Yu SuWen Gao
Dec 12, 2012·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Yifan ZhaoPtolemaios G Sarrigiannis

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