DocumentCode
3109647
Title
Accurate design of analog CNN in CMOS digital technologies
Author
Rodriquez-Vazques, A. ; Domínguez-Castro, R. ; Huertas, J.
Author_Institution
Centro Nacional de Microelectronica, Edificio CICA, Sevilla, Spain
fYear
1990
fDate
16-19 Dec 1990
Firstpage
273
Lastpage
280
Abstract
Explores the design of cellular neural networks (CNN) by using sampled-data analog current-mode techniques which neither requires capacitors nor resistors but just MOS transistors. The feature makes the proposed technique well suited for implementation in conventional VLSI MOS technologies. A set of building blocks is presented and their performance validated by device-level simulation results. Also, guidelines are given concerning the choice of the circuit parameters for optimum operation
Keywords
CMOS integrated circuits; VLSI; cellular arrays; network synthesis; neural nets; parallel architectures; CMOS; VLSI; analogue cellular neural networks; design; digital technologies; sampled-data analog current-mode; Analog circuits; Artificial neural networks; CMOS technology; Cellular neural networks; MOS capacitors; MOSFETs; Mirrors; Pattern recognition; Resistors; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Neural Networks and their Applications, 1990. CNNA-90 Proceedings., 1990 IEEE International Workshop on
Conference_Location
Budapest
Type
conf
DOI
10.1109/CNNA.1990.207532
Filename
207532
Link To Document