Description: Cellular Neural Networks : Analysis, Design, and Optimization, Hardcover by Hanggi, Martin (EDT); Moschytz, George S. (EDT), ISBN 0792378911, ISBN-13 9780792378914, Like New Used, 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 ()
Price: 125.6 USD
Location: Jessup, Maryland
End Time: 2024-12-15T11:26:32.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Return policy details:
Book Title: Cellular Neural Networks : Analysis, Design, and Optimization
Number of Pages: Xi, 148 Pages
Language: English
Publication Name: Cellular Neural Networks : Analysis, Design and Optimization
Publisher: Springer
Publication Year: 2000
Subject: Neural Networks, Electronics / Circuits / General, Electrical, System Theory
Type: Textbook
Item Weight: 32.1 Oz
Item Length: 9.3 in
Author: Martin Hänggi, George S. Moschytz
Subject Area: Computers, Technology & Engineering, Science
Item Width: 6.1 in
Format: Hardcover
