CNN. II. Applications and VLSI circuit realizations

Author

Chua, L.O.

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA

fYear

1992

Firstpage

146

Abstract

For pt.I, see ibid., p.144-5, 1992. Several different classes of cellular neural network (CNN) applications are reviewed, and a very exhaustive list of publications is given. The application potential of CNN relies on the innovative architecture, and as well on a successful high-speed or low-cost hardware implementations. The characterization of the CNN VLSI circuit realization is based on a fully tested high-speed analog chip

Keywords

VLSI; analogue processing circuits; cellular arrays; neural nets; parallel processing; VLSI circuit realizations; architecture; cellular neural network; high-speed analog chip; low-cost hardware implementations; Cellular networks; Cellular neural networks; Circuit testing; Circuit theory; Circuits and systems; Cloning; Laboratories; Neural networks; Object detection; Very large scale integration;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1992., Proceedings of the 35th Midwest Symposium on

Conference_Location

Washington, DC

Print_ISBN

0-7803-0510-8

Type

conf

DOI

10.1109/MWSCAS.1992.271310

Filename

271310

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1621120