Description: Neural-Symbolic Learning Systems [Paperback] Artur S. D'Avila Garcez; Krysia B. Broda and Dov M. Gabbay Product Overview 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 and symbolic paradigms of artificial intelligence. 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. Read more Details Publisher : Springer; 2002nd edition (August 6, 2002) Language : English Paperback : 280 pages ISBN-10 : 1852335122 ISBN-13 : 20 Item Weight : 15.2 ounces Dimensions : 6.1 x 0.65 x 9.25 inches Best Sellers Rank: #4,920,723 in Books (See Top 100 in Books) #996 in Computer Networks #1,723 in Artificial Intelligence (Books) #1,965 in Computer Neural Networks #996 in Computer Networks #1,723 in Artificial Intelligence (Books) We have been selling used books since 2012, and we've learned that the most important thing is doing good business. Honesty is our policy. Free Shipping We ship worldwide. We have multiple warehouses around the world, so please note the extended handling time on certain listings.
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ISBN: 1852335122
ISBN10: 1852335122
ISBN13: 9781852335120
EAN: 9781852335120
MPN: does not apply
Brand: Springer
GTIN: 09781852335120
Number of Pages: Xiv, 271 Pages
Language: English
Publication Name: Neural-Symbolic Learning Systems : Foundations and Applications
Publisher: Springer London, The Limited
Subject: Intelligence (Ai) & Semantics, Networking / General, Neural Networks, Telecommunications
Publication Year: 2002
Type: Textbook
Item Weight: 32.1 Oz
Item Length: 9.3 in
Subject Area: Computers, Technology & Engineering
Author: Dov M. Gabbay, Artur S. D'avila Garcez, Krysia B. Broda
Series: Perspectives in Neural Computing Ser.
Item Width: 6.1 in
Format: Trade Paperback
