Approximation performance analysis of recurrent neural networks
暂无分享,去创建一个
Ming Yu | Shuang Cong | Yi Dai
[1] Kwang Y. Lee,et al. Diagonal recurrent neural networks for dynamic systems control , 1995, IEEE Trans. Neural Networks.
[2] Pierre Roussel-Ragot,et al. Training recurrent neural networks: why and how? An illustration in dynamical process modeling , 1994, IEEE Trans. Neural Networks.
[3] A. Calise,et al. On approximate NN realization of an unknown dynamic system from its input-output history , 2000, Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334).
[4] Kurt Hornik,et al. Multilayer feedforward networks are universal approximators , 1989, Neural Networks.
[5] M. Gupta,et al. Approximation of discrete-time state-space trajectories using dynamic recurrent neural networks , 1995, IEEE Trans. Autom. Control..
[6] Ren Xue. Approximation Property of the Modified Elman Network , 2002 .
[7] Yuichi Nakamura,et al. Approximation of dynamical systems by continuous time recurrent neural networks , 1993, Neural Networks.
[8] Gao Xue-peng,et al. Recurrent Neural Networks and Their Application in System Identification , 2003 .