Neural Symbolic Learning Systems is popular PDF and ePub book, written by Artur S. d'Avila Garcez in 2012-12-06, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Neural Symbolic Learning Systems can be Read Online from any device for your convenience.
Neural Symbolic Learning Systems Book PDF Summary
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.
Detail Book of Neural Symbolic Learning Systems PDF
- Author : Artur S. d'Avila Garcez
- Release : 06 December 2012
- Publisher : Springer Science & Business Media
- ISBN : 9781447102113
- Genre : Computers
- Total Page : 276 pages
- Language : English
- PDF File Size : 9,9 Mb
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