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.
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Destinations, frais et délaisVendeur : -OnTimeBooks-, Phoenix, AZ, Etats-Unis
Etat : good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if youâre not satisfied with purchase please return item for full refund. Ships via media mail. N° de réf. du vendeur OTV.1852333081.G
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Vendeur : CSG Onlinebuch GMBH, Darmstadt, Allemagne
Softcover. Etat : 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. ". N° de réf. du vendeur 15904
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