Blind identification of quadratic nonlinear models using neural networks with higher order cumulants
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[1] Vasilis Z. Marmarelis,et al. Volterra models and three-layer perceptrons , 1997, IEEE Trans. Neural Networks.
[2] Vladik Kreinovich,et al. Arbitrary nonlinearity is sufficient to represent all functions by neural networks: A theorem , 1991, Neural Networks.
[3] Lennart Ljung,et al. System Identification: Theory for the User , 1987 .
[4] K S Narendra,et al. Control of nonlinear dynamical systems using neural networks. II. Observability, identification, and control , 1996, IEEE Trans. Neural Networks.
[5] Tommy W. S. Chow,et al. Semiblind identification of nonminimum-phase ARMA models via order recursion with higher order cumulants , 1998, IEEE Trans. Ind. Electron..
[6] Edward J. Powers,et al. Adaptive estimation of third-order frequency domain Volterra kernels , 1996 .
[7] Francesco Palmieri,et al. Optimal filtering algorithms for fast learning in feedforward neural networks , 1992, Neural Networks.
[8] Kumpati S. Narendra,et al. Identification Using Feedforward Networks , 1995, Neural Computation.
[9] Nicholas Kalouptsidis,et al. Nonlinear system identification using Gaussian inputs , 1995, IEEE Trans. Signal Process..
[10] G. Sicuranza. Quadratic filters for signal processing , 1992, Proc. IEEE.
[11] Tommy W. S. Chow,et al. Third-order cumulant RLS algorithm for nonminimum ARMA systems identification , 1997, Signal Process..
[12] P. Bondon. On the identifiability of a quadratic stochastic system , 1993, [1993 Proceedings] IEEE Signal Processing Workshop on Higher-Order Statistics.
[13] Tommy W. S. Chow,et al. An accelerated recurrent network training algorithm using IIR filter model and recursive least squares method , 1997 .
[14] Anuradha M. Annaswamy,et al. Θ-adaptive Neural Networks: a New Approach to Parameter Estimation , 1996, IEEE Trans. Neural Networks.
[15] Lee A. Feldkamp,et al. Neurocontrol of nonlinear dynamical systems with Kalman filter trained recurrent networks , 1994, IEEE Trans. Neural Networks.
[16] R.J. Cohen,et al. Linear and nonlinear ARMA model parameter estimation using an artificial neural network , 1997, IEEE Transactions on Biomedical Engineering.
[17] Mark E. Oxley,et al. Comparative Analysis of Backpropagation and the Extended Kalman Filter for Training Multilayer Perceptrons , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[18] Tommy W. S. Chow,et al. Extended least squares based algorithm for training feedforward networks , 1997, IEEE Trans. Neural Networks.
[19] Stanislaw Osowski,et al. Multilayer neural network structure as Volterra filter , 1994, Proceedings of IEEE International Symposium on Circuits and Systems - ISCAS '94.