Soft computing : new trends and applications

Bibliographic Information

Soft computing : new trends and applications

L. Fortuna ... [et al.]

(Advanced textbooks in control and signal processing)

Springer, c2001

Available at  / 8 libraries

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Note

Includes bibliographical references

Description and Table of Contents

Description

The book presents a clear understanding of a new type of computation system, the Cellular Neural Network (CNN), which has been successfully applied to the solution of many heavy computation problems, mainly in the fields of image processing and complex partial differential equations. The text describes how CNN will improve the soft-computation toolbox, and examines the many applications of soft computing to complex systems.

Table of Contents

1. Introduction.- 2. Fuzzy Logic.- 3. Fuzzy Control.- 4. Artificial Neural Networks.- 5. Neural Networks for Modeling and Controlling Dynamical Systems.- 6. Evolutionary Optimization Algorithm.- 7. Cellular Neural Networks.- 8. Complex Dynamics and Cellular Neural Networks.- 9. Neuro-fuzzy Networks.- 10. Fuzzy Cellular Neural Networks.- 11. Fuzzy Systems Optimization by Means of Genetic Algorithms.- 12. Neuro-fuzzy Strategies for Monitoring Urban Traffic Noise.- 13. Modeling and Control of a Robot for Picking Citrus Fruit.- 14. Modeling and Control of RTP Systems.- 15. A Neural Network to Predict Air Pollution in Industrial Areas.- 16. Conclusions.

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Details

  • NCID
    BA53315954
  • ISBN
    • 1852333081
  • LCCN
    00046342
  • Country Code
    uk
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    London
  • Pages/Volumes
    xii, 267 p.
  • Size
    24 cm
  • Attached Material
    1 CD-ROM
  • Classification
  • Subject Headings
  • Parent Bibliography ID
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