Learning with recurrent neural networks / Barbara Hammer.
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...
Saved in:
Online Access: |
Full Text (via Springer) |
---|---|
Main Author: | |
Format: | eBook |
Language: | English |
Published: |
London ; New York :
Springer,
©2000.
|
Series: | Lecture notes in control and information sciences ;
253. |
Subjects: |
Internet
Full Text (via Springer)Online
Call Number: |
QA76.87 H356 2000
|
---|---|
QA76.87 H356 2000 | Available |