Title :
A CNN universal chip in CMOS technology
Author :
Domínguez-Castro, R. ; Espejo, S. ; Rodríguez-Vázquez, A. ; Carmona, R.
Author_Institution :
Centro Nacional de Microelectron., Seville Univ., Spain
Abstract :
This paper describes the design of a CNN universal chip in a standard CMOS technology. The core of the chip consists of an array of 32×32 completely programmable CNN cells. Input image can be loaded in optical or electrical form. Accuracy is in the range of 7-8 bit and cell density is of 33 cells/mm2
Keywords :
CMOS integrated circuits; cellular neural nets; neural chips; neural net architecture; CMOS technology; CNN universal chip; array; cell density; cellular neural networks; electrical form; input image; optical form; programmable CNN cells; Analog-digital conversion; CMOS technology; Cellular neural networks; Circuits; Digital control; Equations; Random access memory; Read-write memory; Turing machines; Weight control;
Conference_Titel :
Cellular Neural Networks and their Applications, 1994. CNNA-94., Proceedings of the Third IEEE International Workshop on
Conference_Location :
Rome
Print_ISBN :
0-7803-2070-0
DOI :
10.1109/CNNA.1994.381701
