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Soft Computing: New Trends and Applications (Advanced Textbooks in Control and Signal Processing) - Softcover
Synopsis
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.
"synopsis" may belong to another edition of 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."About this title" may belong to another edition of this title.
- PublisherSpringer
- Publication date2001
- ISBN 10 1852333081
- ISBN 13 9781852333089
- BindingPaperback
- LanguageEnglish
- Number of pages279
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Soft Computing : New Trends and Applications
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Springer London, Limited, 2001
ISBN 10: 1852333081
ISBN 13: 9781852333089
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Soft Computing: New Trends and Applications.
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Softcover. Condition: Gut. " Gebraucht - Gut Zustand: Gut, Mängelexemplar, XII, 268 pp. 193 figs. 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. Written for graduate students, libraries, institutes. ". Seller Inventory # 15904
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Soft Computing: New Trends and Applications (Advanced Textbooks in Control and Signal Processing)
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Soft computing. New trends and applications. (= Advanced textbooks in control and signal processing).
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Soft Computing : New Trends and Applications
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ISBN 10: 1852333081
ISBN 13: 9781852333089
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9781852333089
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