Soft Computing: New Trends and Applications (Advanced Textbooks in Control and Signal Processing) - Softcover

Fortuna, Luigi; Rizzotto, Gianguido; Lavorgna, Mario; Nunnari, Giuseppe; Xibilia, Maria Gabriella; Caponetto, Riccardo

Softcover

ISBN 10: 1852333081 ISBN 13: 9781852333089

Publisher: Springer, 2001

Synopsis

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.

About this title

Review

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)

Synopsis

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; and, applications in urban traffic noise monitoring, robot control and rapid thermal process systems.

Edition details

• Publisher: Springer
• Publication date: 2001
• Language: English
• ISBN 10: 1852333081
• ISBN 13: 9781852333089
• Binding: Paperback
• Number of pages: 279