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, 1970-
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	London ; New York : Springer, [2000]
Series:	Lecture notes in control and information sciences ; 253.
Subjects:	Neural networks (Computer science) Electronic books.
Online Access:	Connect to the full text of this electronic book