|
2
|
Incremental Communication for Artificial Neural Networks
– A A Ghorbani
- 1995
|
|
3
|
Fahlman, "Learning with limited numerical precision using the cascade-correlation algorithm
– M Hoehfeld, S E
- 1992
|
|
22
|
The Effects of Precision Constraints in a Backpropagation Learning Network
– P W Hollis, J S Harper, J J Paulos
- 1990
|
|
26
|
Finite Precision Error Analysis of Neural Network Hardware Implementations
– Jordan L. Holt, Jenq-neng Hwang
- 1993
|
|
7
|
Generalizing smoothness constraints from discrete samples
– C Ji, R Snapp, D Psaltis
- 1990
|
|
9
|
A quantitative study of pruning by Optimal Brain Damage
– J Gorodkin, L K Hansen, A Krogh, C Svarer, O Winther
- 1993
|
|
8
|
Design and Evaluation of Neural Classifiers Application to Skin Lesion Classification
– Mads Hintz-madsen, Lars Kai Hansen, Jan Larsen, Eric Olesen, Krzysztof T. Drzewiecki
- 1995
|
|
9
|
Variable Selection with Optimal Cell Damage
– Tautvydas Cibas, Franoise Fogelman SouliĆ©, Patrick Gallinari, Sarunas Raudys
- 1994
|
|
9
|
Generating-shrinking algorithm for learning arbitrary classification
– Y Q Chen, D W Thomas, M S Nixon
- 1994
|
|
8
|
Adaptive Regularization
– Hansen Rasmussen, L. K. Hansen, C. E. Rasmussen, C. Svarer, J. Larsen
- 1994
|
|
2
|
A Growing - Decreasing Method for Designing Neural Filters
– A L`z`rescu, V Murgan, A T
- 1995
|
|
2
|
Time series analysis by means of linear modelling
– B H Jansen
- 1991
|
|
2
|
Maximum likelihood training of neural networks
– H Gish
- 1993
|
|
3
|
Task Decomposition and Correlations in Growing Artificial Neural Networks
– Jan Matti Lange, Hans-Michael Voigt, Dietrich Wolf
- 1994
|
|
2
|
Symmetry Constraints for Feedforward Network Models of Gradient Systems
– Scott Cardell, Wayne H. Joerding, Ying Li
- 1993
|
|
1
|
Numerical experiments on the information criteria for layered feedforward neural nets
– K Hagiwara, S Usui
- 1994
|
|
1
|
Shun ichi Amari, "Network information criterion--determining the number of hidden units for an artificial network model
– N Murata, S Yoshizawa
- 1992
|
|
1
|
Jukka Saarinen, and Pentti Huuhta, "Neural network modeling and prediction of multivariate time series using predictive MDL principle
– Mikko Lehtokangas
- 1993
|
|
1
|
Comparison of constructive algorithms for neural networks
– F M Frattale Mascioli, G Martinelli, G Lazzaro
- 1994
|