Fuzzy and Neural: Interactions and Applications
Author:   James J. Buckley ,  Thomas Feuring
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   1999 ed.
Volume:   25
ISBN:  

9783790811704


Pages:   162
Publication Date:   22 January 1999
Format:   Hardback
Availability:   In Print   Availability explained
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Fuzzy and Neural: Interactions and Applications


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Overview

The book can be broken down into two basic parts: (1) Chapter 3 through 6 the main ingredient is a neural net; and (2) Chapter 7 through 10 are about fuzzy neural nets. The chapters on (layered, feedforward) neural nets include using neural nets to approximate fuzzy systems, to equal fuzzy systems and to solve fuzzy problems. The chapters on fuzzy neural nets focus on using them to approximate fuzzy systems or equal fuzzy systems. The topic of neural nets, fuzzy systems and fuzzy neural nets are brought together in Chapter 11 with the design of a fuzzy teaching machine whose inputs/outputs are verbal statements.

Full Product Details

Author:   James J. Buckley ,  Thomas Feuring
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Physica-Verlag GmbH & Co
Edition:   1999 ed.
Volume:   25
Dimensions:   Width: 15.50cm , Height: 1.10cm , Length: 23.50cm
Weight:   0.960kg
ISBN:  

9783790811704


ISBN 10:   379081170
Pages:   162
Publication Date:   22 January 1999
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1. Introduction.- 2. Fuzzy Sets and Fuzzy Functions.- 3. Neural Nets.- 4. First Approximation Results.- 5. Hybrid Neural Nets.- 6. Neural Nets Solve Fuzzy Problems.- 7. Fuzzy Neural Nets.- 8. Second Approximation Results.- 9. Hybrid Fuzzy Neural Nets.- 10. Applications of Hybrid Fuzzy Neural Nets and Fuzzy Neural Nets.- 11. Fuzzy Teaching Machine.- 12. Summary, Future Research and Conclusions.

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