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From Synapses to Rules : Discovering Symbolic Rules from Neural Processed Data /

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The book aims to propose a theoretical and applicatory framework for extracting formal rules from data. To this end recent approaches in relevant disciplines are examined that bring together two typical goals of conventional Artificial Intelligence and connectionism - respectively, deducing within a...

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Bibliographic Details
Main Author: Apolloni, Bruno, 1946-
Corporate Author: SpringerLink (Online service)
Other Authors: Kurfess, Franz
Format: eBook
Language:English
Published: Boston, MA : Springer US : Imprint : Springer, 2002.
Subjects:
Artificial intelligence > Congresses.
Neural networks (Computer science) > Congresses.
Machine learning > Congresses.
Artificial intelligence.
Machine learning.
Neural networks (Computer science)
Electronic books.
Conference proceedings.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • From the contents: I: The Theoretical Bases Of Learning
  • II: Physical Aspects Of Learning
  • III: Systems That Bridge The Gap
  • Index.