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Cellular neural network
Author(s) -
T. Roska,
Giovanni Pazienza
Publication year - 2009
Publication title -
scholarpedia
Language(s) - English
Resource type - Journals
ISSN - 1941-6016
DOI - 10.4249/scholarpedia.1519
Subject(s) - cellular neural network , computer science , very large scale integration , chip , template , computer architecture , software , implementation , artificial neural network , computer engineering , computer hardware , embedded system , artificial intelligence , programming language , telecommunications
From the Publisher: The definitive reference for the world of Cellular Neural Networks (CNN). Demonstrates basic notions and possibilities using examples which include global optimization in a single transient, color halftoning and a CNN algorithm containing several cloning templates for detecting almost invisible defects in a textile pattern. The section on theory describes and analyzes discrete-time CNN. VLSI implementations detail the design of the first fully tested CNN chip and the first programmable CNN silicon chip. Features a discussion of design tools and applications. A versatile CNN software simulator accompanies the book. Designed for standard PCs under MS-DOS, this user-friendly program allows users to visualize and test their own ideas. The disk and user's manual form an essential part of this package.

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