-
4
-
-
84983607466
-
-
1992.
-
L. Sicuranza, Quadratic filters for signal procesing, Proc. IEEE, vol. 80, pp. 1263-1285, Aug. 1992.
-
Quadratic Filters for Signal Procesing, Proc. IEEE, Vol. 80, Pp. 1263-1285, Aug.
-
-
Sicuranza, L.1
-
5
-
-
0029358541
-
-
1995.
-
P. Koukoulas and N. Kalouptsidis, Nonlinear model identification using gaussian inputs, IEEE Trans. Signal Processing, vol. 43, pp. 1831-1841, Aug. 1995.
-
And N. Kalouptsidis, Nonlinear Model Identification Using Gaussian Inputs, IEEE Trans. Signal Processing, Vol. 43, Pp. 1831-1841, Aug.
-
-
Koukoulas, P.1
-
6
-
-
0030107731
-
-
1996.
-
C.H. Tseng and J. Powers, Adaptive identification of third-order frequency domain volterra kernels, Int. J. Adapt. Contr. Signal Process., vol. 10, no. 2/3, pp. 319-342, 1996.
-
And J. Powers, Adaptive Identification of Third-order Frequency Domain Volterra Kernels, Int. J. Adapt. Contr. Signal Process., Vol. 10, No. 2/3, Pp. 319-342
-
-
Tseng, C.H.1
-
8
-
-
0031212779
-
-
1997.
-
T.W. S. Chow, H.Z. Tan, and G. Fei, Third-order cumulant RLS algorithm for nonminimum ARMA models identification, Signal Process., vol. 61, no. l,pp. 23-38, 1997.
-
Chow, H.Z. Tan, and G. Fei, Third-order Cumulant RLS Algorithm for Nonminimum ARMA Models Identification, Signal Process., Vol. 61, No. L,pp. 23-38
-
-
-
9
-
-
0032137473
-
-
1998.
-
T.W. S. Chow and H.Z. Tan, Semiblind identification of nonminimum phase ARMA models via order recursion with higher-order cumulants, IEEE Trans. Ind. Electron., vol. 45, pp. 663-671, Aug. 1998.
-
Chow and H.Z. Tan, Semiblind Identification of Nonminimum Phase ARMA Models via order Recursion with Higher-order Cumulants, IEEE Trans. Ind. Electron., Vol. 45, Pp. 663-671, Aug.
-
-
-
10
-
-
33749937076
-
-
1998.
-
H.Z. Tan, T.W. S. Chow, and K.T. Ng, Constrained neural networks based blind identification of quadratic nonlinear models, Int. J. Knowledge-Based Intell. Eng. Models, vol. 2, no. 2, pp. 11-119, 1998.
-
T.W. S. Chow, and K.T. Ng, Constrained Neural Networks Based Blind Identification of Quadratic Nonlinear Models, Int. J. Knowledge-Based Intell. Eng. Models, Vol. 2, No. 2, Pp. 11-119
-
-
Tan, H.Z.1
-
11
-
-
0028581622
-
-
253-256.
-
S. Osowski and T. Quang, Multilayer neural network structure as volterra filter, in Proc. IEEE Int. Symp. Circuits and Models, vol. 6, 1994, pp. 253-256.
-
And T. Quang, Multilayer Neural Network Structure as Volterra Filter, in Proc. IEEE Int. Symp. Circuits and Models, Vol. 6, 1994, Pp.
-
-
Osowski, S.1
-
12
-
-
0031106678
-
-
1997.
-
K.H. Chon and R.J. Cohen, Linear and nonlinear ARMA model parameter estimation using an artificial neural network, IEEE Trans. Biomed. Eng., vol. 44, pp. 168-174, Mar. 1997.
-
And R.J. Cohen, Linear and Nonlinear ARMA Model Parameter Estimation Using an Artificial Neural Network, IEEE Trans. Biomed. Eng., Vol. 44, Pp. 168-174, Mar.
-
-
Chon, K.H.1
-
13
-
-
0031273027
-
-
1997.
-
V.Z. Marmarelis and X. Zhao, Volterra models and three-layer perceptrons, IEEE Trans. Neural Networks, vol. 8, pp. 1421-1433, June 1997.
-
And X. Zhao, Volterra Models and Three-layer Perceptrons, IEEE Trans. Neural Networks, Vol. 8, Pp. 1421-1433, June
-
-
Marmarelis, V.Z.1
-
14
-
-
0030191188
-
-
1996.
-
A.S. Annaswamy and H. Yu, 0-Adaptive neural networks: A new approach to parameter estimation, IEEE Trans, on Neural Networks, vol. 7. pp. 907-918, Apr. 1996.
-
And H. Yu, 0-Adaptive Neural Networks: a New Approach to Parameter Estimation, IEEE Trans, on Neural Networks, Vol. 7. Pp. 907-918, Apr.
-
-
Annaswamy, A.S.1
-
15
-
-
0028401031
-
-
1994.
-
G.V. Puskorius and L.A. Feldkamp, Neurocontrol of nonlinear dynamical models with kalman filter trained recurrent networks, IEEE Trans. Neural Networks, vol. 5, pp. 279-297, Feb. 1994.
-
And L.A. Feldkamp, Neurocontrol of Nonlinear Dynamical Models with Kalman Filter Trained Recurrent Networks, IEEE Trans. Neural Networks, Vol. 5, Pp. 279-297, Feb.
-
-
Puskorius, G.V.1
-
17
-
-
0026923239
-
-
1992.
-
S. Shah, F Palmieri, and M. Datum, Optimal filtering algorithms for fast learning in feedforward neural networks, Neural Networks, vol. 5, no. 5, pp. 779-787, 1992.
-
F Palmieri, and M. Datum, Optimal Filtering Algorithms for Fast Learning in Feedforward Neural Networks, Neural Networks, Vol. 5, No. 5, Pp. 779-787
-
-
Shah, S.1
-
18
-
-
0000971113
-
-
1992.
-
D.W. Ruck, S.K. Rogers, M. Kabrisky, P. Maybeck, and M.E. Oxley, Comparative analysis of backpropagation and the extended Kalman filter for training multilayer perceptrons, IEEE Trans. Pattern Anal. Machine Intell., vol. 14, no. 6, pp. 686-691, 1992.
-
S.K. Rogers, M. Kabrisky, P. Maybeck, and M.E. Oxley, Comparative Analysis of Backpropagation and the Extended Kalman Filter for Training Multilayer Perceptrons, IEEE Trans. Pattern Anal. Machine Intell., Vol. 14, No. 6, Pp. 686-691
-
-
Ruck, D.W.1
-
19
-
-
33749906175
-
-
1995.
-
A.V. Levin and K.S. Narendra, Identification using feedforward networks, Neural Comput., vol. 7, pp. 349-357, Mar. 1995.
-
And K.S. Narendra, Identification Using Feedforward Networks, Neural Comput., Vol. 7, Pp. 349-357, Mar.
-
-
Levin, A.V.1
-
20
-
-
0029754433
-
-
1996.
-
A.U. Levin and K.S. Narendra, Control of nonlinear dynamical systems using neural networks, Part II: Observability, identification, and control, IEEE Trans. Neural Networks, vol. 7, pp. 30-42, Jan. 1996.
-
And K.S. Narendra, Control of Nonlinear Dynamical Systems Using Neural Networks, Part II: Observability, Identification, and Control, IEEE Trans. Neural Networks, Vol. 7, Pp. 30-42, Jan.
-
-
Levin, A.U.1
-
21
-
-
0025857963
-
-
1991.
-
V. Y Kreinovich, Arbitrary nonlinearity is sufficient to represent all functions by neural networks: A theorem, Neural Networks, vol. 4, no. 3, pp. 381-383, 1991.
-
Kreinovich, Arbitrary Nonlinearity Is Sufficient to Represent All Functions by Neural Networks: a Theorem, Neural Networks, Vol. 4, No. 3, Pp. 381-383
-
-
-
22
-
-
0031268660
-
-
1997.
-
T.W. S. Chow and S. Y Cho, An accelerated recurrent network training algorithm using IIR filter model and recursive least squares method, IEEE Trans. Circuits Syst. I, vol. 44, pp. 1082-1085, Nov. 1997.
-
Chow and S. Y Cho, An Accelerated Recurrent Network Training Algorithm Using IIR Filter Model and Recursive Least Squares Method, IEEE Trans. Circuits Syst. I, Vol. 44, Pp. 1082-1085, Nov.
-
-
|