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  • Textbook
  • © 2001

Soft Computing

New Trends and Applications

  • MATERIAL ORIGINALLY AVAILABLE ON CD-ROM NOW AVAILABLE FROM www.sn.pub/extras

  • The next generation of control and signal processing engineers need a text book from which to learn

  • Textbook is co-written by practising industrial engineers and so has a solid grounding in "the real world"

Part of the book series: Advanced Textbooks in Control and Signal Processing (C&SP)

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Table of contents (16 chapters)

  1. Front Matter

    Pages i-xii
  2. Introduction

    • Luigi Fortuna, Gianguido Rizzotto, Mario Lavorgna, Giuseppe Nunnari, M. Gabriella Xibilia, Riccardo Caponetto
    Pages 1-3
  3. Fuzzy Logic

    • Luigi Fortuna, Gianguido Rizzotto, Mario Lavorgna, Giuseppe Nunnari, M. Gabriella Xibilia, Riccardo Caponetto
    Pages 5-21
  4. Fuzzy Control

    • Luigi Fortuna, Gianguido Rizzotto, Mario Lavorgna, Giuseppe Nunnari, M. Gabriella Xibilia, Riccardo Caponetto
    Pages 23-52
  5. Artificial Neural Networks

    • Luigi Fortuna, Gianguido Rizzotto, Mario Lavorgna, Giuseppe Nunnari, M. Gabriella Xibilia, Riccardo Caponetto
    Pages 53-79
  6. Neural Networks for Modeling and Controlling Dynamical Systems

    • Luigi Fortuna, Gianguido Rizzotto, Mario Lavorgna, Giuseppe Nunnari, M. Gabriella Xibilia, Riccardo Caponetto
    Pages 81-96
  7. Evolutionary Optimization Algorithms

    • Luigi Fortuna, Gianguido Rizzotto, Mario Lavorgna, Giuseppe Nunnari, M. Gabriella Xibilia, Riccardo Caponetto
    Pages 97-116
  8. Cellular Neural Networks

    • Luigi Fortuna, Gianguido Rizzotto, Mario Lavorgna, Giuseppe Nunnari, M. Gabriella Xibilia, Riccardo Caponetto
    Pages 117-134
  9. Complex Dynamics and Cellular Neural Networks

    • Luigi Fortuna, Gianguido Rizzotto, Mario Lavorgna, Giuseppe Nunnari, M. Gabriella Xibilia, Riccardo Caponetto
    Pages 135-168
  10. Neuro-fuzzy Networks

    • Luigi Fortuna, Gianguido Rizzotto, Mario Lavorgna, Giuseppe Nunnari, M. Gabriella Xibilia, Riccardo Caponetto
    Pages 169-178
  11. Fuzzy Cellular Neural Networks

    • Luigi Fortuna, Gianguido Rizzotto, Mario Lavorgna, Giuseppe Nunnari, M. Gabriella Xibilia, Riccardo Caponetto
    Pages 179-196
  12. Fuzzy Systems Optimization by Means of Genetic Algorithms

    • Luigi Fortuna, Gianguido Rizzotto, Mario Lavorgna, Giuseppe Nunnari, M. Gabriella Xibilia, Riccardo Caponetto
    Pages 197-208
  13. Neuro-fuzzy Strategies for Monitoring Urban Traffic Noise

    • Luigi Fortuna, Gianguido Rizzotto, Mario Lavorgna, Giuseppe Nunnari, M. Gabriella Xibilia, Riccardo Caponetto
    Pages 209-220
  14. Modeling and Control of a Robot for Picking Citrus Fruit

    • Luigi Fortuna, Gianguido Rizzotto, Mario Lavorgna, Giuseppe Nunnari, M. Gabriella Xibilia, Riccardo Caponetto
    Pages 221-236
  15. Modeling and Control of RTP Systems

    • Luigi Fortuna, Gianguido Rizzotto, Mario Lavorgna, Giuseppe Nunnari, M. Gabriella Xibilia, Riccardo Caponetto
    Pages 237-249
  16. A Neural Network to Predict Air Pollution in Industrial Areas

    • Luigi Fortuna, Gianguido Rizzotto, Mario Lavorgna, Giuseppe Nunnari, M. Gabriella Xibilia, Riccardo Caponetto
    Pages 251-260
  17. Conclusions

    • Luigi Fortuna, Gianguido Rizzotto, Mario Lavorgna, Giuseppe Nunnari, M. Gabriella Xibilia, Riccardo Caponetto
    Pages 261-263
  18. Back Matter

    Pages 265-267

About this book

In the last decade new artificial intelligence methods for the modelling and control of complex systems, namely neural networks, fuzzy logic and probabilistic reasoning have drawn the interest of researchers and engineers. Recently, the advantages achievable by using combinations of these methods, which have independent origin and evolution, have been pointed out, generating a new paradigm which is now termed "soft-computing". This new methodology subsumes the capabilities of neural networks for modelling non-linear systems and for solving classification problems, the power of fuzzy-logic to represent approximate or heuristic reasoning and the large capabilities of evolutionary computation for problem optimisation. 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. CNNs' computation-based systems represent new opportunities for improving the soft-computation toolbox. The application of soft computing to complex systems and in particular to chaotic systems with the generation of chaotic dynamics by using CNN is also described. These aspects are of particular interest owing to their growing interest for research and application purposes.
Specific topics covered in the text include:
- fuzzy logic, control and neural networks;
- artificial neural networks and their application in the modelling and control of dynamical systems;
- evolutionary optimisation algorithms;
- complex dynamics and cellular neural networks;
- applications in urban traffic noise monitoring, robot control and rapid thermal process systems.

Reviews

From the reviews:

"The coverage is concise but complete...Overall, the treatment is comprehensive, with a good balance of the fundamental concepts, the hybrid systems, and applications. The text contains a number of mathematical forumlas, but they are not overbearing. Flowcharts and sample results are helpful for illustrating the underlying concepts. For readers new to the field, this is an excellent book to start learning about the field and its current scope."
(J. Y. Cheung, Choice, January 2002)

Authors and Affiliations

  • Dipartimento Elettrico Elettronico e Sistemistico, Università di Catania, Catania, Italy

    Luigi Fortuna, Giuseppe Nunnari, M. Gabriella Xibilia, Riccardo Caponetto

  • STMicroelectronics, Catania, Italy

    Gianguido Rizzotto, Mario Lavorgna

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Other ways to access