Author :
Chua, Leon O. ; Roska, Tamás
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
fDate :
3/1/1993 12:00:00 AM
Abstract :
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
Keywords :
neural nets; partial differential equations; CNN paradigm; adaptive templates; canonical equations; cellular neural network; input signal arrays; multilayer capability; taxonomy; wave-type partial differential equation; Analog computers; Biological system modeling; Cellular neural networks; Circuits; Computer networks; Grid computing; Laboratories; Signal processing; Solid modeling; Taxonomy;
Journal_Title :
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
