Analog VLSI current mode implementation of artificial neural networks

Author

El-Masry, Ezz I. ; Maundy, Brent J. ; Yang, Hong-kui

Author_Institution

Dept. of Electr. Eng., Tech. Univ. Nova Scotia, Halifax, NS, Canada

fYear

1993

fDate

16-18 Aug 1993

Firstpage

1275

Abstract

In this paper we examine all current-mode building blocks for implementation of artificial neural networks. The building blocks proposed include a current dependent pulse generator, a pulse frequency modulator used to multiply incoming pulses with variable weights, and a current in/current out sigmoid function circuit. The circuits can be easily implemented in a standard CMOS VLSI process. Simulations are presented to confirm the validity of the proposed circuits

Keywords

CMOS analogue integrated circuits; VLSI; analogue computer circuits; analogue multipliers; circuit analysis computing; neural chips; pulse generators; CMOS VLSI process; analog VLSI circuit; artificial neural networks; current dependent pulse generator; current-mode building blocks; pulse frequency modulator; pulse multiplication; sigmoid function circuit; simulations; Artificial neural networks; Capacitors; Frequency; Pulse amplifiers; Pulse circuits; Pulse generation; Pulse modulation; Transconductance; Very large scale integration; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on

Conference_Location

Detroit, MI

Print_ISBN

0-7803-1760-2

Type

conf

DOI

10.1109/MWSCAS.1993.343332

Filename

343332