Title :
CNN. II. Applications and VLSI circuit realizations
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
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;
Conference_Titel :
Circuits and Systems, 1992., Proceedings of the 35th Midwest Symposium on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-0510-8
DOI :
10.1109/MWSCAS.1992.271310
