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Neural-Symbolic Learning Systems: Foundations and Applications Book

Neural-Symbolic Learning Systems: Foundations and Applications
Neural-Symbolic Learning Systems: Foundations and Applications, Artificial Intelligence is concerned with producing devices that help or replace human beings in their daily activities. Neural-symbolic learning systems play a central role in this task by combining, and trying to benefit from, the advantages of both the, Neural-Symbolic Learning Systems: Foundations and Applications has a rating of 3 stars
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Neural-Symbolic Learning Systems: Foundations and Applications, Artificial Intelligence is concerned with producing devices that help or replace human beings in their daily activities. Neural-symbolic learning systems play a central role in this task by combining, and trying to benefit from, the advantages of both the, Neural-Symbolic Learning Systems: Foundations and Applications
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  • Neural-Symbolic Learning Systems: Foundations and Applications
  • Written by author Artur S. DAvila Garcez
  • Published by Springer-Verlag New York, LLC, July 2002
  • Artificial Intelligence is concerned with producing devices that help or replace human beings in their daily activities. Neural-symbolic learning systems play a central role in this task by combining, and trying to benefit from, the advantages of both the
  • Artificial Intelligence is concerned with producing devices that help or replace human beings in their daily activities. Neural-symbolic learning systems play a central role in this task by combining, and trying to benefit from, the advantages of both the
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Book Categories

Authors

1Introduction and Overview1
2Background13
Pt. IKnowledge Refinement in Neural Networks
3Theory Refinement in Neural Networks43
4Experiments on Theory Refinement87
Pt. IIKnowledge Extraction from Neural Networks
5Knowledge Extraction from Trained Networks113
6Experiments on Knowledge Extraction159
Pt. IIIKnowledge Revision in Neural Networks
7Handling Inconsistencies in Neural Networks183
8Experiments on Handling Inconsistencies209
9Neural-Symbolic Integration: The Road Ahead235
References253
Index267


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