The CNN paradigm
Leon O. ChuaDepartment of Electrical Engineering and Computer Sciences and the Electronics Research Laboratory, University of California, Berkeley, CA, USAT. RoskaDual and Neural Computing Systems Laboratory,Computer and Automation Research Institute, Hungarian Academy of Sciences (ATOMKI), Budapest, Hungary
1993en
ABI
Annotatsiya
A concise tutorial description of the cellular neural network (CNN) paradigm is given, along with a precise taxonomy. The CNN is defined, and the canonical equations are described. The importance of many independent input signal arrays, adaptive templates, and the multilayer capability is emphasized and motivated by examples. It is shown how simply a wave-type partial differential equation can be generated.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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