-
1
-
-
0026157963
-
An adaptively trained neural network
-
May
-
D. C. Park, M. A. El-Sharkawi, and R. J. Marks II, "An adaptively trained neural network," IEEE Trans. Neural Networks, vol. 2, pp. 334-345, May 1991.
-
(1991)
IEEE Trans. Neural Networks
, vol.2
, pp. 334-345
-
-
Park, D.C.1
El-Sharkawi, M.A.2
Marks II, R.J.3
-
2
-
-
0002623625
-
A new scheme for incremental learning
-
C. Jutten and R. Chentouf, "A new scheme for incremental learning," Neural Processing Lett., vol. 2, no. 1, pp. 1-4, 1995.
-
(1995)
Neural Processing Lett.
, vol.2
, Issue.1
, pp. 1-4
-
-
Jutten, C.1
Chentouf, R.2
-
3
-
-
0026929368
-
Study on optimization of grinding conditions using neural networks - A method of additional learning
-
Oct.
-
T. Yoneda, M. Yamanaka, and Y. Kakazu, "Study on optimization of grinding conditions using neural networks - A method of additional learning," J. Japan Soc. Precision Eng., vol. 58, no. 10, pp. 1707-1712, Oct. 1992.
-
(1992)
J. Japan Soc. Precision Eng.
, vol.58
, Issue.10
, pp. 1707-1712
-
-
Yoneda, T.1
Yamanaka, M.2
Kakazu, Y.3
-
4
-
-
0007957206
-
Active data selection and subsequent revision for sequential learning with neural networks
-
H. Yamakawa, D. Masumoto, T. Kimoto, and S. Nagata, "Active data selection and subsequent revision for sequential learning with neural networks," in World Congr. Neural Networks (WCNN'94), 1994, vol. 3, pp. 661-666.
-
(1994)
World Congr. Neural Networks (WCNN'94)
, vol.3
, pp. 661-666
-
-
Yamakawa, H.1
Masumoto, D.2
Kimoto, T.3
Nagata, S.4
-
5
-
-
0000155950
-
The cascade-correlation learning architecture
-
David S. Touretzky, Ed. San Mateo, CA: Morgan Kaufmann
-
S. E. Fahlman and C. Lebiere, "The cascade-correlation learning architecture," in Neural Inform. Processing Syst. 2, David S. Touretzky, Ed. San Mateo, CA: Morgan Kaufmann, 1990, pp. 524-532.
-
(1990)
Neural Inform. Processing Syst. 2
, pp. 524-532
-
-
Fahlman, S.E.1
Lebiere, C.2
-
6
-
-
0030141870
-
Incremental backpropagation learning networks
-
May
-
L. Fu, H.-H. Hsu, and J. C. Principe, "Incremental backpropagation learning networks," IEEE Trans. Neural Networks, vol. 7, pp. 757-761, May 1996.
-
(1996)
IEEE Trans. Neural Networks
, vol.7
, pp. 757-761
-
-
Fu, L.1
Hsu, H.-H.2
Principe, J.C.3
-
7
-
-
0001071040
-
A resource allocating network for function interpolation
-
J. Platt, "A resource allocating network for function interpolation," Neural Comput., vol. 3, no. 2, pp. 213-225, 1991.
-
(1991)
Neural Comput.
, vol.3
, Issue.2
, pp. 213-225
-
-
Platt, J.1
-
8
-
-
0029545699
-
An incremental learning method with recalling interfered patterns
-
Nov.
-
K. Yamauchi and N. Ishii, "An incremental learning method with recalling interfered patterns," in ICNN'95, Nov. 1995, vol. 6, pp. 3159-3164.
-
(1995)
ICNN'95
, vol.6
, pp. 3159-3164
-
-
Yamauchi, K.1
Ishii, N.2
-
9
-
-
0029725165
-
An incremental learning method with relearning of recalled interfered patterns
-
Sept.
-
K. Yamauchi, N. Yamaguchi, and N. Ishii, "An incremental learning method with relearning of recalled interfered patterns," in NNSP '96, Sept. 1996, pp. 242-252.
-
(1996)
NNSP '96
, pp. 242-252
-
-
Yamauchi, K.1
Yamaguchi, N.2
Ishii, N.3
-
10
-
-
0025490985
-
Networks for approximation and learning
-
Sept.
-
T. Poggio and F. Girosi, "Networks for approximation and learning," Proc. IEEE Neural Networks, vol. 78, no. 9, pp. 1481-1497, Sept. 1990.
-
(1990)
Proc. IEEE Neural Networks
, vol.78
, Issue.9
, pp. 1481-1497
-
-
Poggio, T.1
Girosi, F.2
-
11
-
-
84947751405
-
Using case data to improve on rule-based function approximation
-
M. Veloso and A. Aamodt, Eds. Springer-Verlag
-
N. Indurkhya and S. M. Weiss, "Using case data to improve on rule-based function approximation," in Lecture Notes in Artificial Intelligence 1010 Case Based Reasoning Research and Development, M. Veloso and A. Aamodt, Eds. Springer-Verlag, 1995, pp. 217-228.
-
(1995)
Lecture Notes in Artificial Intelligence 1010 Case Based Reasoning Research and Development
, pp. 217-228
-
-
Indurkhya, N.1
Weiss, S.M.2
-
12
-
-
0000902690
-
The effective number of parameters: An analysis of generalization and regularization in nonlinear learning systems
-
J. E. Moody, S. J. Hanson, and R. P. Lippmann, Eds. San Mateo, CA: Morgan Kaufmann
-
J. E. Moody, "The effective number of parameters: An analysis of generalization and regularization in nonlinear learning systems," in Advances in Neural Information Processing Systems 4, J. E. Moody, S. J. Hanson, and R. P. Lippmann, Eds. San Mateo, CA: Morgan Kaufmann, 1992, pp. 847-854.
-
(1992)
Advances in Neural Information Processing Systems 4
, pp. 847-854
-
-
Moody, J.E.1
|