950 search results - page 13 / 190 » Training a Quantum Neural Network |
TNN
2010
13 years 2 months ago
2010
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
ICANN
2005
Springer
14 years 1 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...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— Higher order networks allow modelling of correlates and geometrically invariant properties. Current techniques for their development either require domain knowledge, or are con...
ACL
2004
13 years 9 months ago
2004
Discriminative methods have shown significant improvements over traditional generative methods in many machine learning applications, but there has been difficulty in extending th...
IJCAI
1989
13 years 8 months ago
1989
Multilayered feedforward neural networks possess a number of properties which make them particularly suited to complex pattern classification problems. However, their application ...