Overview
- Complete overview about the Methodologies and Applications of Evolving Fuzzy Systems
- Written by an leading expert in this field
- State-of-the-Art book
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 266)
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About this book
In today’s real-world applications, there is an increasing demand of integrating new information and knowledge on-demand into model building processes to account for changing system dynamics, new operating conditions, varying human behaviors or environmental influences.
Evolving fuzzy systems (EFS) are a powerful tool to cope with this requirement, as they are able to automatically adapt parameters, expand their structure and extend their memory on-the-fly, allowing on-line/real-time modeling.
This book comprises several evolving fuzzy systems approaches which have emerged during the last decade and highlights the most important incremental learning methods used. The second part is dedicated to advanced concepts for increasing performance, robustness, process-safety and reliability, for enhancing user-friendliness and enlarging the field of applicability of EFS and for improving the interpretability and understandability of the evolved models. The third part underlines the usefulness and necessity of evolving fuzzy systems in several online real-world application scenarios, provides an outline of potential future applications and raises open problems and new challenges for the next generation evolving systems, including human-inspired evolving machines.
The book includes basic principles, concepts, algorithms and theoretic results underlined by illustrations. It is dedicated to researchers from the field of fuzzy systems, machine learning, data mining and system identification as well as engineers and technicians who apply data-driven modeling techniques in real-world systems.
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Keywords
Table of contents (10 chapters)
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Front Matter
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Introduction
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Part I: Basic Methodologies
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Front Matter
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Part II: Advanced Concepts
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Front Matter
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Part III: Applications
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Front Matter
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Back Matter
Authors and Affiliations
Bibliographic Information
Book Title: Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications
Authors: Edwin Lughofer
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-642-18087-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2011
Hardcover ISBN: 978-3-642-18086-6Published: 19 January 2011
Softcover ISBN: 978-3-642-26692-8Published: 25 February 2013
eBook ISBN: 978-3-642-18087-3Published: 31 January 2011
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XXIV, 456
Topics: Mathematical and Computational Engineering, Artificial Intelligence