Impact of system specifications on analogue CMOS implementations of continuously programmable cellular neural networks

Author

Kinget, Peter ; Steyaert, Michiel

Author_Institution

ESAT-MICAS, Katholieke Univ., Leuven, Heverlee, Belgium

Volume

3

fYear

1994

fDate

27 Jun-2 Jul 1994

Firstpage

1949

Abstract

The analogue VLSI implementation of cellular neural networks that are fully programmable with continuous valued weights and operate in continuous time, is treated. The impact of dynamic range of the weights, the connection pattern of the cells and the necessary accuracy of the system on the hardware requirements is discussed. A practical example of the first fully programmable 4×4 CNN chip is presented. The successful operation of the chip is illustrated with measurement results. This chip is a programmable image processor and the templates can be considered as its instructions

Keywords

CMOS analogue integrated circuits; VLSI; analogue processing circuits; cellular neural nets; neural chips; analogue CMOS implementations; analogue VLSI implementation; continuously programmable cellular neural networks; fully programmable neural chip; programmable image processor; system specifications; Capacitors; Cellular neural networks; Dynamic range; Hardware; Image processing; Integrated circuit interconnections; Neural networks; Semiconductor device measurement; Very large scale integration; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-1901-X

Type

conf

DOI

10.1109/ICNN.1994.374459

Filename

374459