-
2
-
-
0000729019
-
Forecasting demand for electric power
-
S. J. Hanson, J. D. Cowan, and C. L. Giles, Eds. San Mateo, CA: Morgan Kauffman
-
J.-L. Yuan and T. L. Fine, "Forecasting demand for electric power," in Advances in Neural Information Processing Systems, S. J. Hanson, J. D. Cowan, and C. L. Giles, Eds. San Mateo, CA: Morgan Kauffman, 1993, vol. 5, pp. 739-746.
-
(1993)
Advances in Neural Information Processing Systems
, vol.5
, pp. 739-746
-
-
Yuan, J.-L.1
Fine, T.L.2
-
3
-
-
0028277023
-
Stock performance modeling using neural networks: A comparative study with regression models
-
A. N. Refenes, A. Zapranis, and G. Francis, "Stock performance modeling using neural networks: A comparative study with regression models," Neural Networks, vol. 7, p. 375, 1994.
-
(1994)
Neural Networks
, vol.7
, pp. 375
-
-
Refenes, A.N.1
Zapranis, A.2
Francis, G.3
-
4
-
-
0030286579
-
Neural network based short-term load forecasting using weather compensation
-
Nov.
-
T. W. S. Chow and C. T. Leung, "Neural network based short-term load forecasting using weather compensation," IEEE Trans. Power Syst., vol. 11, pp. 1736-1742, Nov. 1996.
-
(1996)
IEEE Trans. Power Syst.
, vol.11
, pp. 1736-1742
-
-
Chow, T.W.S.1
Leung, C.T.2
-
5
-
-
0000632352
-
Experiments in short-term precipitation forecasting using artificial neural networks
-
R. J. Kuligowski and A. P. Barros, "Experiments in short-term precipitation forecasting using artificial neural networks," Monthly Weather Rev., vol. 126, p. 470, 1998.
-
(1998)
Monthly Weather Rev.
, vol.126
, pp. 470
-
-
Kuligowski, R.J.1
Barros, A.P.2
-
6
-
-
0040428297
-
Prediction intervals for artificial neural networks
-
J. T. G. Hwang and A. A. Ding, "Prediction intervals for artificial neural networks," J. Amer. Statist. Assoc., vol. 92, pp. 748-757, 1997.
-
(1997)
J. Amer. Statist. Assoc.
, vol.92
, pp. 748-757
-
-
Hwang, J.T.G.1
Ding, A.A.2
-
7
-
-
0032202770
-
Prediction intervals for neural networks via nonlinear regression
-
R. D. De Veaux, J. Schumi, J. Schweinsberg, and L. H. Ungar, "Prediction intervals for neural networks via nonlinear regression," Technometrics, vol. 40, pp. 273-282, 1998.
-
(1998)
Technometrics
, vol.40
, pp. 273-282
-
-
De Veaux, R.D.1
Schumi, J.2
Schweinsberg, J.3
Ungar, L.H.4
-
8
-
-
85153950631
-
Learning local error bars for nonlinear regression
-
G. Tesauro, D. Touretzky, and T. Leen, Eds. Cambridge, MA: MIT Press
-
D. A. Nix and A. S. Weigend, "Learning local error bars for nonlinear regression," in Advances in Neural Information Processing Systems, G. Tesauro, D. Touretzky, and T. Leen, Eds. Cambridge, MA: MIT Press, 1995, vol. 7, pp. 489-496.
-
(1995)
Advances in Neural Information Processing Systems
, vol.7
, pp. 489-496
-
-
Nix, D.A.1
Weigend, A.S.2
-
9
-
-
84898947879
-
Practical confidence and prediction intervals
-
M. C. Mozer, M. I. Jordan, and T. Pestsche, Eds. Cambridge, MA: MIT Press
-
T. Heskes, "Practical confidence and prediction intervals," in Advances in Neural Information Processing Systems, M. C. Mozer, M. I. Jordan, and T. Pestsche, Eds. Cambridge, MA: MIT Press, 1997, vol. 9, pp. 176-182.
-
(1997)
Advances in Neural Information Processing Systems
, vol.9
, pp. 176-182
-
-
Heskes, T.1
-
10
-
-
0012195187
-
Some asymptotic results for learning in single hidden-layer feedforward network models
-
H. White, "Some asymptotic results for learning in single hidden-layer feedforward network models," J. Amer. Statist. Assoc., vol. 84, p. 1003, 1989.
-
(1989)
J. Amer. Statist. Assoc.
, vol.84
, pp. 1003
-
-
White, H.1
-
11
-
-
0000133998
-
An analysis of transformation
-
G. E. P. Box and D. R. Cox, "An analysis of transformation," J. Roy. Statist. Soc. B, vol. 26, pp. 211-246, 1964.
-
(1964)
J. Roy. Statist. Soc. B
, vol.26
, pp. 211-246
-
-
Box, G.E.P.1
Cox, D.R.2
-
13
-
-
0002704818
-
A practical Bayesian framework for backpropagation
-
D. McKay, "A practical Bayesian framework for backpropagation," Neural Comput., vol. 4, pp. 448-472, 1992.
-
(1992)
Neural Comput.
, vol.4
, pp. 448-472
-
-
McKay, D.1
|