<p><P>This highly interdisciplinary book covers for the first time the applications of neurofuzzy and fuzzyneural scientific tools in a very wide area within the communications field. It deals with the important and modern areas of telecommunications amenable to such a treatment. Therefore, it is of
Fuzzy and Neural: Interactions and Applications
β Scribed by Prof. James J. Buckley, Dr. Thomas Feuring (auth.)
- Publisher
- Physica-Verlag Heidelberg
- Year
- 1998
- Tongue
- English
- Leaves
- 160
- Series
- Studies in Fuzziness and Soft Computing 25
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book is about recent research area described as the intersection of fuzzy sets, (layered, feedforward) neural nets and evolutionary algorithms. Also called "soft computing". The treatment is elementary in that all "proofs" have been relegated to the references and the only mathematical prerequisite is elementary differential calculus. No previous knowledge of neural nets nor fuzzy sets is needed. Most of the discussion centers around the authors' own research in this area over the last ten years.
The book brings together results on: (1) approximations between neural nets and fuzzy systems; (2) building hybrid neural nets for fuzzy systems; (3) approximations between fuzzy neural nets for fuzzy systems. New results include the use of evolutionary algorithms to train fuzzy neural nets and the introduction of a "fuzzy teaching machine". The interaction between fuzzy and neural is also illustrated in the use of neural nets to solve fuzzy problems and the use of fuzzy neural nets to solve the "overfitting" problem of regular neural nets. Besides giving a comprehensive theoretical survey of these results the authors also survey the unsolved problems in this exciting, new, area of research.
β¦ Table of Contents
Front Matter....Pages I-XIII
Introduction....Pages 1-2
Fuzzy Sets and Fuzzy Functions....Pages 3-19
Neural Nets....Pages 21-34
First Approximation Results....Pages 35-48
Hybrid Neural Nets....Pages 49-63
Neural Nets Solve Fuzzy Problems....Pages 65-75
Fuzzy Neural Nets....Pages 77-96
Second Approximation Results....Pages 97-110
Hybrid Fuzzy Neural Nets....Pages 111-117
Applications of Hybrid Fuzzy Neural Nets and Fuzzy Neural Nets....Pages 119-132
Fuzzy Teaching Machine....Pages 133-147
Summary, Future Research and Conclusions....Pages 149-157
Back Matter....Pages 159-161
β¦ Subjects
Artificial Intelligence (incl. Robotics); Control, Robotics, Mechatronics; Business Information Systems
π SIMILAR VOLUMES
This book systematically synthesizes research achievements in the field of fuzzy neural networks in recent years. It also provides a comprehensive presentation of the developments in fuzzy neural networks, with regard to theory as well as their application to system modeling and image restoration. S
This book systematically synthesizes research achievements in the field of fuzzy neural networks in recent years. It also provides a comprehensive presentation of the developments in fuzzy neural networks, with regard to theory as well as their application to system modeling and image restoration. S
<p>This book presents new concepts and implementations of Computational Intelligence (CI) systems (based on neuro-fuzzy and fuzzy neural synergisms) and a broad comparative analysis with the best-known existing neuro-fuzzy systems as well as with systems representing other knowledge-discovery techni
Springer, 2002. β 367.<div class="bb-sep"></div>Traditional Artificial Intelligence (AI) systems adopted symbolic processing as their main paradigm. Symbolic AI systems have proved effective in handling problems characterized by exact and complete knowledge representation. Unfortunately, these syste
<p><em>Neural Networks and Fuzzy Systems: Theory and Applications</em> discusses theories that have proven useful in applying neural networks and fuzzy systems to real world problems. The book includes performance comparison of neural networks and fuzzy systems using data gathered from real systems.