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Book synopsis

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.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Cellular Neural Networks
• Subtitle: Chaos, Complexity and VLSI Processing
• Author: Gabriele Manganaro, Paolo Arena, Luigi Fortuna
• Language: English
• Binding: Paperback
• Number of pages: 273
• EAN: 9783642642326
• ISBN: 3642642322
• ID: 07005025
• Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Weight: 446 g
• Dimensions: 235 × 155 × 16 mm
• Date of publishing: 22. September 2011

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