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Book Information

   
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Title: Hybrid Neural Systems
Edited By: Ron Sun
S Wermter
URL: http://www.his.sunderland.ac.uk/newbook/hybrid.html
Description:

Keywords: Artificial Neural Networks, Hybrid Neural Systems, Connectionism, Hybrid Symbolic Neural Architectures, Cognitive Neuroscience, Machine Learning, Language Processing The aim of this book is to present a broad spectrum of current research in hybrid neural systems, and advance the state of the art in neural networks and artificial intelligence. Hybrid neural systems are computational systems which are based mainly on artificial neural networks but which also allow a symbolic interpretation or interaction with symbolic components. This book focuses on the following issues related to different types of representation: How does neural representation contribute to the success of hybrid systems? How does symbolic representation supplement neural representation? How can these types of representation be combined? How can we utilize their interaction and synergy? How can we develop neural and hybrid systems for new domains? What are the strengths and weaknesses of hybrid neural techniques? Are current principles and methodologies in hybrid neural systems useful? How can they be extended? What will be the impact of hybrid and neural techniques in the future?

Publication Year: 2000
Publisher: Academic Press
Review: Not available for review. If you would like to review a book on The LINGUIST List, please login to view the AFR list.
BibTex: View BibTex record
Linguistic Field(s): Linguistic Theories
Neurolinguistics
Cognitive Science
Issue: All announcements sent out by The LINGUIST List are emailed to our subscribers and archived with the Library of Congress.
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Versions:
Format: Hardback
ISBN: 3540673059
ISBN-13: N/A
Pages: 403 p