30 search results - page 1 / 6 » Overfitting and Neural Networks: Conjugate Gradient and Back... |
IJCNN
2000
IEEE
13 years 8 months ago
2000
IEEE
IJIT
2004
13 years 5 months ago
2004
Minimization methods for training feed-forward networks with Backpropagation are compared. Feedforward network training is a special case of functional minimization, where no expli...
ITCC
2005
IEEE
13 years 10 months ago
2005
IEEE
The main focus of this study is to compare different performances of soft computing paradigms for predicting the direction of individuals stocks. Three different artificial intell...
ICANN
2001
Springer
13 years 8 months ago
2001
Springer
The method of conjugate gradients provides a very effective way to optimize large, deterministic systems by gradient descent. In its standard form, however, it is not amenable to ...
FLAIRS
2004
13 years 5 months ago
2004
In the neural network literature, input feature de-correlation is often referred as one pre-processing technique used to improve the MLP training speed. However, in this paper, we...