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...

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Bibliographic Details
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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