371 search results - page 9 / 75 » Competitive Neural Network Training: A Multi-Resolution Appr... |
IPPS
1998
IEEE
15 years 1 months ago
1998
IEEE
We derive cost formulae for three di erent parallelisation techniques for training supervised networks. These formulae are parameterised by properties of the target computer archit...
71
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ICAI
2008
14 years 11 months ago
2008
: This paper presents a new approach to equalization of communication channels using Artificial Neural Networks (ANNs). A novel method of training the ANNs using Tabu based Back Pr...
70
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ICANN
2005
Springer
15 years 3 months ago
2005
Springer
The use of entropy as a cost function in the neural network learning phase usually implies that, in the back-propagation algorithm, the training is done in batch mode. Apart from t...
GECCO
2004
Springer
15 years 3 months ago
2004
Springer
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
101
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ESANN
2003
14 years 11 months ago
2003
This paper presents our approach to the rule extraction problem from trained neural network. A method called REX is briefly described. REX acquires a set of fuzzy rules using an ev...