Overview
- Practical guide for experts from other areas and industrial users who are interested in building solutions to their problems using intelligent techniques
- Focusing on best practices when using intelligent techniques and building systems requiring a degree of adaptation and intelligence
- Bringing together experts from neural network, fuzzy, machine learning, evolutionary and hybrid systems communities
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 173)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (17 chapters)
-
Intelligent Systems: Architectures and Perspectives
-
Problem Definition — From Applications to Methods
-
Data Preparation and Preprocessing
-
From Methods To Applications
-
From Applications To Methods
Keywords
About this book
Do Smart Adaptive Systems Exist? is intended as a reference and a guide summarising and focusing on best practices when using intelligent techniques and building systems requiring a degree of adaptation and intelligence.
It is therefore not intended as a collection of the most recent research results, but as a practical guide for experts from other areas and industrial users interested in building solutions to their problems using intelligent techniques. One of the main issues covered is an attempt to answer the question of how to select and/or combine suitable intelligent techniques from a large pool of potential solutions.
Another attractive feature of the book is that it brings together experts from neural network, fuzzy, machine learning, evolutionary and hybrid systems communities who will provide their views on how these different intelligent technologies have contributed and will contribute to creation of smart adaptive systems of the future.
Editors and Affiliations
Bibliographic Information
Book Title: Do Smart Adaptive Systems Exist?
Book Subtitle: Best Practice for Selection and Combination of Intelligent Methods
Editors: Bogdan Gabrys, Kauko Leiviskä, Jens Strackeljan
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/3-540-32374-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2005
Hardcover ISBN: 978-3-540-24077-8Published: 20 May 2005
Softcover ISBN: 978-3-642-06320-6Published: 21 October 2010
eBook ISBN: 978-3-540-32374-7Published: 11 July 2006
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: X, 370
Topics: Computational Intelligence, Artificial Intelligence, Complex Systems, Operations Research/Decision Theory, Applications of Mathematics, Statistical Physics and Dynamical Systems