Learning with Recurrent Neural Networks
Folding networks, a generalisation of recurrent neural networks to tree structured inputs, are investigated as a mechanism to learn regularities on classical symbolic data, for example. The architecture, the training mechanism, and several applications in different areas are explained. Afterwards a...
Main Author: | Hammer, Barbara (Author, http://id.loc.gov/vocabulary/relators/aut) |
---|---|
Corporate Author: | SpringerLink (Online service) |
Format: | Electronic eBook |
Language: | English |
Published: |
London :
Springer London : Imprint: Springer,
2000.
|
Edition: | 1st ed. 2000. |
Series: | Lecture Notes in Control and Information Sciences,
254 |
Subjects: | |
Online Access: | Full Text via HEAL-Link |
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