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Soft Computing: New Trends and Applications, Advanced Textbooks in Control Proce

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Last updated on May 27, 2024 12:20:05 EDTView all revisionsView all revisions

Item specifics

Condition
Like New: A book that looks new but has been read. Cover has no visible wear, and the dust jacket ...
Subject
Engineering (General), Cad-Cam, Intelligence (Ai) & Semantics, Data Processing
Subject Area
Computers, Technology & Engineering
Level
Advanced
Educational Level
Adult & Further Education
ISBN
9781852333089
Publication Name
Soft Computing : New Trends and Applications
Item Length
9.3 in
Publisher
Springer London, The Limited
Publication Year
2001
Series
Advanced Textbooks in Control and Signal Processing Ser.
Type
Textbook
Format
Mixed Lot
Language
English
Author
M. G. Xibilia, G. Nunnari, M. Lavorgna, Riccardo Caponetto, G. G. Rizzotto
Item Width
6.1 in
Item Weight
15.5 Oz
Number of Pages
Xii, 267 Pages

About this product

Product Information

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.

Product Identifiers

Publisher
Springer London, The Limited
ISBN-10
1852333081
ISBN-13
9781852333089
eBay Product ID (ePID)
1761961

Product Key Features

Author
M. G. Xibilia, G. Nunnari, M. Lavorgna, Riccardo Caponetto, G. G. Rizzotto
Publication Name
Soft Computing : New Trends and Applications
Format
Mixed Lot
Language
English
Subject
Engineering (General), Cad-Cam, Intelligence (Ai) & Semantics, Data Processing
Publication Year
2001
Series
Advanced Textbooks in Control and Signal Processing Ser.
Type
Textbook
Subject Area
Computers, Technology & Engineering
Number of Pages
Xii, 267 Pages

Dimensions

Item Length
9.3 in
Item Width
6.1 in
Item Weight
15.5 Oz

Additional Product Features

LCCN
00-046342
Number of Volumes
1 Vol.
Lc Classification Number
Q334-342
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)
Table of Content
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.
Copyright Date
2001
Target Audience
Scholarly & Professional
Dewey Decimal
006.3
Dewey Edition
21
Illustrated
Yes

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