Neural-Symbolic Learning Systems: Foundations and Applications (Perspectives in Neural Computing)
by Artur S. d'Avila Garcez, Krysia B. Broda and Dov M. Gabbay
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BookPal × TalezoNeural-Symbolic Learning Systems
This book provides a comprehensive introduction to the field of neural-symbolic learning systems, and an invaluable overview of the latest research issues in this area. It is divided into three sections, covering the main topics of neural-symbolic integration - theoretical advances in knowledge representation and learning, knowledge extraction from trained neural networks, and inconsistency handling in neural-symbolic systems. Each section provides a balance of theory and practice, giving the results of applications using real-world problems in areas such as DNA sequence analysis, power systems fault diagnosis, and software requirements specifications.
Neural-Symbolic Learning Systems will be invaluable reading for researchers and graduate students in Engineering, Computing Science, Artificial Intelligence, Machine Learning and Neurocomputing. It will also be of interest to Intelligent Systems practitioners and anyone interested in applications of hybrid artificial intelligence systems.
Details
- Publisher
- Springer London
- Authors
- Artur S. d'Avila Garcez, Krysia B. Broda, Dov M. Gabbay
- Format
- Paperback
- Published
- Aug 6, 2002
- ISBN-13
- 9781852335120
- Pages
- 271
Neural-Symbolic Learning Systems for groups: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $149.59 | 12% off list |
| 50 – 99 | $147.89 | 13% off list |
| 100+ | $146.19 | 14% off list |
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