695 search results - page 22 / 139 » Different Learning Algorithms for Neural Networks - A Compar... |
BMCBI
2005
13 years 7 months ago
2005
Background: The multitude of motif detection algorithms developed to date have largely focused on the detection of patterns in primary sequence. Since sequence-dependent DNA struc...
ECAI
2000
Springer
13 years 11 months ago
2000
Springer
Abstract. We are interested in the relationship between learning efficiency and representation in the case of supervised neural networks for pattern classification trained by conti...
IJCNN
2008
IEEE
14 years 1 months ago
2008
IEEE
Abstract— Automatic pattern classifiers that allow for incremental learning can adapt internal class models efficiently in response to new information, without having to retrai...
ICPR
2000
IEEE
14 years 8 months ago
2000
IEEE
Multi-valued neurons are the neural processing elements with complex-valued weights, huge functionality (it is possible to implement on the single neuron arbitrary mapping describ...
GECCO
2004
Springer
14 years 27 days 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...