-
1
-
-
34249982739
-
Predicting chaotic time series
-
Farmer J.D., and Sidorowich J.J. Predicting chaotic time series. Phys. Rev. Lett. 59 8 (1987) 845-848
-
(1987)
Phys. Rev. Lett.
, vol.59
, Issue.8
, pp. 845-848
-
-
Farmer, J.D.1
Sidorowich, J.J.2
-
2
-
-
0026692296
-
Using CNLS-net to predict the Mackey-Glass chaotic time series
-
Mead W.C., et al. Using CNLS-net to predict the Mackey-Glass chaotic time series. Proc. IJCNN (1991) 485-490
-
(1991)
Proc. IJCNN
, pp. 485-490
-
-
Mead, W.C.1
-
3
-
-
51249162589
-
Recursive prediction of chaotic time series
-
Stark J. Recursive prediction of chaotic time series. J. Nonlin. Sci. 3 (1993) 197-223
-
(1993)
J. Nonlin. Sci.
, vol.3
, pp. 197-223
-
-
Stark, J.1
-
4
-
-
34249695934
-
-
S. Soltani, S. Canu, C. Boichu, Time series prediction and the wavelet transform, International Workshop on Advanced Black Box modelling, Leuven, Belgium, July 8-10, 1998.
-
-
-
-
5
-
-
0026151476
-
Electric load forecasting using an artificial neural network
-
Park D.C., et al. Electric load forecasting using an artificial neural network. IEEE Trans. Power Syst. 6 2 (1991) 442-449
-
(1991)
IEEE Trans. Power Syst.
, vol.6
, Issue.2
, pp. 442-449
-
-
Park, D.C.1
-
6
-
-
34249732552
-
Polynomial and standard higher order neural network
-
San Francisco, CA, USA
-
Chang C., Lin J., and Cheung J. Polynomial and standard higher order neural network. IEEE International Conference on Neural Networks, 28 March-1 April, vol. 2. San Francisco, CA, USA (1993) 989-994
-
(1993)
IEEE International Conference on Neural Networks, 28 March-1 April, vol. 2
, pp. 989-994
-
-
Chang, C.1
Lin, J.2
Cheung, J.3
-
7
-
-
0024631931
-
Representations of nonlinear systems: the NARMAX model
-
Chen S., and Billings S. Representations of nonlinear systems: the NARMAX model. Int. J. Control 49 3 (1989)
-
(1989)
Int. J. Control
, vol.49
, Issue.3
-
-
Chen, S.1
Billings, S.2
-
8
-
-
0030126677
-
Experimental neural networks for prediction and identification
-
Alippi C., and Piuri V. Experimental neural networks for prediction and identification. IEEE Trans. Instrum. Meas. 45 2 (1996)
-
(1996)
IEEE Trans. Instrum. Meas.
, vol.45
, Issue.2
-
-
Alippi, C.1
Piuri, V.2
-
9
-
-
0000262362
-
Input-output parametric models for nonlinear systems
-
Leontaritis Y., and Billings S. Input-output parametric models for nonlinear systems. Int. J. Control 41 2 (1985)
-
(1985)
Int. J. Control
, vol.41
, Issue.2
-
-
Leontaritis, Y.1
Billings, S.2
-
10
-
-
0024613194
-
Recursive prediction error parameter estimator for nonlinear models
-
Chen S., and Billings A. Recursive prediction error parameter estimator for nonlinear models. Int. J. Control 49 2 (1989)
-
(1989)
Int. J. Control
, vol.49
, Issue.2
-
-
Chen, S.1
Billings, A.2
-
12
-
-
0016483671
-
A learning identification algorithm and its application to an environmental system
-
Duffy J., and Franklin M. A learning identification algorithm and its application to an environmental system. IEEE Trans. Syst., Man Cybern. SMC-5 2 (1975)
-
(1975)
IEEE Trans. Syst., Man Cybern.
, vol.SMC-5
, Issue.2
-
-
Duffy, J.1
Franklin, M.2
-
13
-
-
34249708365
-
-
Y. Shin, J. Gosh, Approximation of Multivariate Functions Using Ridge Polynomial Networks, IJCNN'92, Baltimore, MD, USA, 7-11 June, 1992, pp. 380-385.
-
-
-
-
14
-
-
0028744839
-
-
Y. Shin, Modified Bernestein Polynomials and Their Connectionist Interpretation, ICNN, vol. 3, Orlando, Florida, USA, 27 June-2 July, 1994, pp. 1433-1438.
-
-
-
-
15
-
-
84901433856
-
-
E. Gómez-Ramírez, A. Poznyak, A. González Yunes, M. Avila-Alvarez, Adaptive Architecture of Polynomial Artificial Neural Network to Forecast Nonlinear Time Series. CEC99 Special Session on Time Series Prediction, Mayflower Hotel, Washington, DC, USA, July 6-9, 1999.
-
-
-
-
16
-
-
34249685994
-
-
J.T. Alander, An Indexed Bibliography of Genetic Algorithms: Years 1957-1993, 1994, Art of CAD ltd.
-
-
-
-
17
-
-
34249668315
-
-
I. Bedner, Genetic Algorithms and Genetic Programming at Stanford, Stanford Bookstore, 1997.
-
-
-
-
19
-
-
0026867458
-
Extrapolation of Mackey-Glass data using cascade correlation
-
Ensley D., and Nelson D.E. Extrapolation of Mackey-Glass data using cascade correlation. Simulation 58 5 (1992) 333-339
-
(1992)
Simulation
, vol.58
, Issue.5
, pp. 333-339
-
-
Ensley, D.1
Nelson, D.E.2
-
20
-
-
34249689590
-
-
W. Mead, R. Jones, Y. Lee, C. Barnes, G. Flake, L. Lee, M. O'Rourke, Using CNLS-Net to Predict the Mackey-Glass Chaotic Time Series. CNLS Newsletter, Center for nonlinear Studies Los Alamos National Lab., No. 69, 1991.
-
-
-
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