Cellular Neural Networks : Chaos, Complexity and VLSI Processing, Paperback b...

$ 63.81

Subject: Chaotic Behavior in Systems, Hardware / General, Intelligence (Ai) & Semantics, Neural Networks, Electronics / General Subject Area: Computers, Technology & Engineering, Science Author: Paolo Arena, Gabriele Manganaro, Luigi Fortuna Type: Textbook Series: Springer Series in Advanced Microelectronics Ser. Item Width: 6.1 in Item Weight: 15.7 Oz ISBN: 9783642642326 Item Length: 9.3 in Publication Name: Cellular Neural Networks : Chaos, Complexity and Vlsi Processing Language: English width: 6.1 in Publication Year: 2011 Number of Pages: Xiv, 273 Pages Publisher: Springer Berlin / Heidelberg Format: Trade Paperback height: 0.2 in Book Title: Cellular Neural Networks : Chaos, Complexity and VLSI Processing Item Height: 0.2 in

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Cellular Neural Networks : Chaos, Complexity and VLSI Processing, Paperback b.... Cellular Neural Networks : Chaos, Complexity and VLSI Processing, Paperback by Manganaro, G.; Arena, P.; Fortuna, L., ISBN 3642642322, ISBN-13 9783642642326, Like New Used, Free shipping in the US The field of cellular neural networks (CNNs) is of growing importance in non linear circuits and systems and it is maturing to the point of becoming a new area of study in general nonlinear theory. CNNs emerged through two semi nal papers co-authored by Professor Leon O. Chua back in 1988. Since then, the attention that CNNs have attracted in the scientific community has been vast. For instance, there are international workshops dedicated to CNNs and their applications, special issues published in both the International Journal of Circuit Theory and in the IEEE Transactions on Circuits and Systems, and there are also Associate Editors appointed in the latter journal especially for the CNN field. All of this bears witness the importance that CNNs are gaining within the scientific community. Without doubt this book is a primer in the field. Its extensive coverage provides the reader with a very comprehensive view of aspects involved in the theory and applications of cellular neural networks. The authors have done an excellent job merging basic CNN theory, synchronization, spatio temporal phenomena and hardware implementation into eight exquisitely written chapters. Each chapter is thoroughly illustrated with examples and case studies. The result is a book that is not only excellent as a professional reference but also very appealing as a textbook. My view is that students as well professional engineers will find this volume extremely useful.