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Cellular Neural Networks : Analysis, Design, and Optimization, Hardcover by Hanggi, Martin (EDT); Moschytz, George S. (EDT), ISBN 0792378911, ISBN-13 9780792378914, Brand New, Free shipping in the US
Cellular neural networks (CNN) constitute a class of recurrent and locally coupled arrays of identical dynamical systems, or cells. Signal processing using them becomes efficient only if the network is implemented in analog hardware, however, and some tasks are inherently too sensitive to be carried out on an analog chip because of the physical limitations of analog implementations. HSnggi and Moschytz (both Swiss Federal Institute of Technology, Zurich) use an exact and direct analytical design method to synthesize optimally robust network parameters and thereby demonstrate that locally regular CNN's meet all the requirements for a successful implementation in analog VLSI hardware. Annotation c. Book News, Inc., Portland, OR ()
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