-
1
-
-
0029409251
-
Neural modelling for time series: Statistical stepwise method for weight elimination
-
Y. Girard M. Mangeas, M. Cottrell, B. Girard, and C. Muller. “Neural Modelling for Time Series: Statistical Stepwise Method for Weight Elimination.” IEEE Transactions on Neural Networks, Vol 6, N6, 1995.
-
(1995)
IEEE Transactions on Neural Networks
, vol.6
, pp. N6
-
-
Girard, Y.1
Mangeas, M.2
Cottrell, M.3
Girard, B.4
Muller, C.5
-
3
-
-
0035505658
-
A new pruning heuristic based on variance analysis of sensitivity information
-
A.P. Engelbrecht. “A New Pruning Heuristic based on Variance Analysis of Sensitivity Information.” IEEE Transactions on, Neural Networks, Volume: 12 No. 6, pp: 1386-1399, 2001.
-
(2001)
IEEE Transactions On, Neural Networks
, vol.12
, Issue.6
, pp. 1386-1399
-
-
Engelbrecht, A.P.1
-
4
-
-
0031142667
-
An iterative pruning algorithm for feed-forward neural networks
-
G. Castellano and A. M. Fanelli. “An Iterative Pruning Algorithm for Feed-forward Neural Networks.” IEEE Transactions on Neural Networks, Vol. 8, No. 3, 1997.
-
(1997)
IEEE Transactions on Neural Networks
, vol.8
, Issue.3
-
-
Castellano, G.1
Fanelli, A.M.2
-
5
-
-
85024012083
-
Texture characterization based on two dimensional lattice coefficients
-
Washington, USA and IEEE ICASSP'99, Phoenix, Arizona, USA
-
F. Fnaiech, M. Sayadi, and M. Najim. “Texture Characterization Based on Two Dimensional Lattice Coefficients.” IEEE ICASSP'98, Seattle, Washington, USA and IEEE ICASSP'99, Phoenix, Arizona, USA.
-
IEEE ICASSP'98, Seattle
-
-
Fnaiech, F.1
Sayadi, M.2
Najim, M.3
-
6
-
-
0012887408
-
Classification of brain conditions using multilayer perceptrons trained by the recursive least squares algorithm
-
Playmouth, UK
-
M. Sayadi, B. W. Jervis, and F. Fnaiech. “Classification of Brain Conditions using Multilayer Perceptrons Trained by the Recursive Least Squares Algorithm.” Proceeding of the 2nd International Conference on Neural Network and expert system in medicine and healthcare, Playmouth, UK, pp. 5-13, 28-30, 1996.
-
(1996)
Proceeding of the 2Nd International Conference on Neural Network and Expert System in Medicine and Healthcare
, Issue.28-30
, pp. 5-13
-
-
Sayadi, M.1
Jervis, B.W.2
Fnaiech, F.3
-
7
-
-
0003194588
-
Feed-forward neural network design with tridiagonal symmetry constraints
-
A. Dumitras and F. Kossentini. “Feed-forward Neural Network Design with Tridiagonal Symmetry Constraints.” IEEE Transactions on signal Processing, Vol. 48, No. 5.
-
IEEE Transactions on Signal Processing
, vol.48
, Issue.5
-
-
Dumitras, A.1
Kossentini, F.2
-
9
-
-
85024032467
-
Réseaux de neurones et seriestemporelles
-
ASU, Bruxelles
-
B. Girard, M. Cottrell, and Y. Girard. “Réseaux de Neurones et Series Temporelles.” XXIV Journes de Statistiques, ASU, Bruxelles, 1992.
-
(1992)
XXIV Journes
-
-
Girard, B.1
Cottrell, M.2
Girard, Y.3
-
11
-
-
0030243161
-
Automated learning for reducing the configuration of a feedforward neural network
-
C. C. Teng and B. W. Wah. “Automated Learning for Reducing the Configuration of a FeedForward Neural Network.” IEEE Transaction on Neural Network, Vol. 7, No 5.
-
IEEE Transaction on Neural Network
, vol.7
, Issue.5
-
-
Teng, C.C.1
Wah, B.W.2
-
12
-
-
0028425064
-
Svd net: An algorithm that automatically selects network structures
-
D.C. Psichogios and L.H Ungar. “SVD net: An algorithm that automatically selects network structures.” IEEE Tranc. On Neural Networks, Vol 5, N3.
-
IEEE Tranc. on Neural Networks
, vol.5
, pp. N3
-
-
Psichogios, D.C.1
Ungar, L.H.2
-
13
-
-
0025447562
-
A simple procedure for pruning back-propagation trained neural network
-
E. D. Karnin. “A simple Procedure for Pruning Back-Propagation Trained Neural Network.” IEEE Transaction on Neural Network, Vol. 1. No. 2.
-
IEEE Transaction on Neural Network
, vol.1
, Issue.2
-
-
Karnin, E.D.1
-
14
-
-
0035273020
-
A fast feed-forward training algorithm using a modified form of standard back-propagation algorithm
-
F. Fnaiech, S. Abid, and M. Najim. “A Fast Feed-Forward Training Algorithm Using A Modified Form of Standard Back-Propagation Algorithm.” IEEE Transactions on Neural Network, 2001.
-
(2001)
IEEE Transactions on Neural Network
-
-
Fnaiech, F.1
Abid, S.2
Najim, M.3
-
16
-
-
0035019899
-
A prune: An algorithm for finding k shortest paths subject to multiple constraints
-
G. Liu and K. G. Ramakrishnan. “A Prune: An Algorithm for Finding K Shortest Paths Subject to Multiple Constraints.” IEEEINFOCOM, 2001.
-
(2001)
IEEEINFOCOM
-
-
Liu, G.1
Ramakrishnan, K.G.2
-
17
-
-
0026841022
-
Real-time learning algorithm for a multilayered neural network based on the extended kalman filter
-
H. Sakai, Y. Hgunl, and H. Tokumary. “Real-Time Learning Algorithm for a Multilayered Neural Network Based on the Extended Kalman Filter.” IEEE Transaction Signal Processing, Vol 40.
-
IEEE Transaction Signal Processing
, vol.40
-
-
Sakai, H.1
Hgunl, Y.2
Tokumary, H.3
-
19
-
-
85024026302
-
Relation between weight initialization of neural networks and pruning algorithms case study on mackey-glass time series
-
J. Hu, W. Wan, K. Hirasawa, and J. Murata. “Relation between weight initialization of neural networks and pruning algorithms case study on Mackey-glass time series.” 2001 IEEE.
-
(2001)
IEEE
-
-
Hu, J.1
Wan, W.2
Hirasawa, K.3
Murata, J.4
-
22
-
-
0033308459
-
Variance analysis of sensitivity information for pruning feed-forward neural networks
-
Washington, DC
-
L. Fletcher, A. P. Engelbrecht, and I. Cloete. “Variance Analysis of Sensitivity Information for Pruning Feed-forward Neural Networks.” in IEEE Int. Joint Conf. Neural Networks, Washington, DC, 1999.
-
(1999)
IEEE Int. Joint Conf. Neural Networks
-
-
Fletcher, L.1
Engelbrecht, A.P.2
Cloete, I.3
-
23
-
-
0031194103
-
Connection pruning with static and adaptative pruning schedules
-
L. Prechelt. “Connection Pruning with Static and Adaptative Pruning Schedules.” Neurocomput, Vol. 16, no. 1, 1997.
-
(1997)
Neurocomput
, vol.16
, Issue.1
-
-
Prechelt, L.1
-
24
-
-
0027850951
-
Removal of hidden units and weights for back-propagation networks
-
M. Hagiwara. “Removal of Hidden Units and Weights for Back-Propagation Networks.” In Proc. 1993 Int. Joint Conf. Neural networks, vol. 1.
-
Proc. 1993 Int. Joint Conf. Neural Networks
, vol.1
-
-
Hagiwara, M.1
-
25
-
-
85024056922
-
Regularization theory and neural network architectures
-
M. Jones, F. Girosi and T. Poggio. “Regularization Theory and Neural Network Architectures.” Neural Comput, vol. 7.
-
Neural Comput
, vol.7
-
-
Jones, M.1
Girosi, F.2
Poggio, T.3
-
26
-
-
3042603788
-
A pruned multilayer neural network for brain diseases classification
-
N. Fnaiech, B. W. Jervis, F. Fnaiech, M. Sayadi, and M. Cheriet. “A pruned Multilayer Neural Network for brain diseases classification.” Conference NNESMED 2003, 2003.
-
(2003)
Conference NNESMED 2003
-
-
Fnaiech, N.1
Jervis, B.W.2
Fnaiech, F.3
Sayadi, M.4
Cheriet, M.5
-
32
-
-
0031105479
-
Convergence suppression and divergence facilitation: Minimum and joint use of hidden unit by multiple output
-
S. Yasui. “Convergence Suppression and Divergence Facilitation: Minimum and joint use of Hidden Unit by Multiple Output.” Neural Networks, vol. 10, no. 2.
-
Neural Networks
, vol.10
, Issue.2
-
-
Yasui, S.1
-
33
-
-
0000494466
-
Optimal brain damage
-
D.Touretzky, editor, Morgan Kaufmann
-
Y. le Cun, J.S. Denker, and S.A. Solla. “Optimal Brain Damage.” In D.Touretzky, editor, Advances in Neural Information Processing Systems 2, Morgan Kaufmann. 1990.
-
(1990)
Advances in Neural Information Processing Systems 2
-
-
Le Cun, Y.1
Denker, J.S.2
Solla, S.A.3
|