Hybrid Neural Systems (Paperback, 2000 ed.)

Hybrid neural systems are computational systems which are based mainly on artificial neural networks and allow for symbolic interpretation or interaction with symbolic components. This book is derived from a workshop held during the NIPS'98 in Denver, Colorado, USA, and competently reflects the state of the art of research and development in hybrid neural systems.The 26 revised full papers presented together with an introductory overview by the volume editors have been through a twofold process of careful reviewing and revision. The papers are organized in the following topical sections: structured connectionism and rule representation; distributed neural architectures and language processing; transformation and explanation; robotics, vision, and cognitive approaches.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Lecture Notes in Artificial Intelligence, 1778
Release date:	2001
First published:	2000
Editors:	Stefan Wermter • Ron Sun
Dimensions:	235 x 155 x 21mm (L x W x T)
Format:	Paperback
Pages:	408
Edition:	2000 ed.
ISBN-13:	978-3-540-67305-7
Categories:	Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences
LSN:	3-540-67305-9
Barcode:	9783540673057

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