78 search results - page 1 / 16 » Influence of weight-decay training in input selection method... |
TNN
2010
12 years 11 months ago
2010
The weight-decay technique is an effective approach to handle overfitting and weight fault. For fault-free networks, without an appropriate value of decay parameter, the trained ne...
ESANN
2000
13 years 6 months ago
2000
We describe the results of a research on the effect of weight-decay (WD) in input selection methods based on the analysis of a trained multilayer feedforward network. It was propos...
ICDAR
2003
IEEE
13 years 10 months ago
2003
IEEE
Neural networks are a powerful technology for classification of visual inputs arising from documents. However, there is a confusing plethora of different neural network methods th...
JCAL
2000
13 years 4 months ago
2000
The success of exploration-based training is likely to be strongly influenced by what activities the learner undertakes during training. This paper presents a study of the activiti...
IJON
2000
13 years 4 months ago
2000
In this paper we propose an approach to variable selection that uses a neural-network model as the tool to determine which variables are to be discarded. The method performs a bac...