Neural-Symbolic Learning Systems PDF Download

Neural-Symbolic Learning Systems PDF
By:Artur S. d'Avila Garcez,Krysia B. Broda,Dov M. Gabbay
Published on 2012-12-06 by Springer Science & Business Media

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.

This Book was ranked at 31 by Google Books for keyword Computer Science AI Machine Learning Computers Technology.

Book ID of Neural-Symbolic Learning Systems's Books is -iIRBwAAQBAJ, Book which was written byArtur S. d'Avila Garcez,Krysia B. Broda,Dov M. Gabbayhave ETAG "mvA/Sj6wplk"

Book which was published by Springer Science & Business Media since 2012-12-06 have ISBNs, ISBN 13 Code is 9781447102113 and ISBN 10 Code is 1447102118

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Book which have "271 Pages" is Printed at BOOK under CategoryComputers

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