13 search results - page 1 / 3 » Improving the Convergence of Backpropagation by Opposite Tra... |
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
—The backpropagation algorithm is a very popular approach to learning in feed-forward multi-layer perceptron networks. However, in many scenarios the time required to adequately ...
FOCI
2007
IEEE
13 years 11 months ago
2007
IEEE
— Backpropagation through time is a very popular discrete-time recurrent neural network training algorithm. However, the computational time associated with the learning process t...
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
— Numerical condition affects the learning speed and accuracy of most artificial neural network learning algorithms. In this paper, we examine the influence of opposite transfe...
IJIT
2004
13 years 6 months ago
2004
Since the presentation of the backpropagation algorithm, a vast variety of improvements of the technique for training a feed forward neural networks have been proposed. This articl...
ESANN
2001
13 years 6 months ago
2001
In this paper, we present the results of an experimental comparison among seven different weight initialization methods in twelve different problems. The comparison is performed by...